From f4308eda05a3d058d6c0e8424da2a59803767124 Mon Sep 17 00:00:00 2001 From: Dan Feltham Date: Fri, 4 Jun 2021 11:11:23 +1000 Subject: [PATCH] updating files and model for tf2 --- addressnet/dataset.py | 6 +- addressnet/lookups.py | 2 +- addressnet/model.py | 20 +- addressnet/pretrained/graph.pbtxt | 460926 ++++----------- .../pretrained/model.ckpt.data-00000-of-00001 | Bin 6083800 -> 6074584 bytes addressnet/pretrained/model.ckpt.index | Bin 5025 -> 3265 bytes addressnet/pretrained/model.ckpt.meta | Bin 5325824 -> 1482714 bytes generate_tf_records.py | 4 +- 8 files changed, 107505 insertions(+), 353453 deletions(-) diff --git a/addressnet/dataset.py b/addressnet/dataset.py index fe9087f..e4f0141 100644 --- a/addressnet/dataset.py +++ b/addressnet/dataset.py @@ -463,10 +463,10 @@ def dataset(filenames: [str], batch_size: int = 10, shuffle_buffer: int = 1000, def input_fn() -> tf.data.Dataset: ds = tf.data.TFRecordDataset(filenames, compression_type="GZIP") ds = ds.shuffle(buffer_size=shuffle_buffer) - ds = ds.map(lambda record: tf.parse_single_example(record, features=_features), num_parallel_calls=8) + ds = ds.map(lambda record: tf.io.parse_single_example(serialized=record, features=_features), num_parallel_calls=8) ds = ds.map( - lambda record: tf.py_func(synthesise_address, [record[k] for k in _features.keys()], - [tf.int64, tf.int64, tf.bool], + lambda record: tf.compat.v1.py_func(synthesise_address, [record[k] for k in _features.keys()], + [tf.int32, tf.int64, tf.bool], stateful=False), num_parallel_calls=num_parallel_calls ) diff --git a/addressnet/lookups.py b/addressnet/lookups.py index a972a88..46f6a81 100644 --- a/addressnet/lookups.py +++ b/addressnet/lookups.py @@ -70,7 +70,7 @@ 'LANE': 'LANE', 'LANEWAY': 'LNWY', 'LINE': 'LINE', 'LINK': 'LINK', 'LOOKOUT': 'LKT', 'LOOP': 'LOOP', 'MALL': 'MALL', 'MEANDER': 'MNDR', 'MEWS': 'MEWS', 'MOTORWAY': 'MTWY', 'NOOK': 'NOOK', 'OUTLOOK': 'OTLK', 'PARADE': 'PDE', 'PARKWAY': 'PWY', 'PASS': 'PASS', - 'PASSAGE': 'PSGE', 'PATH': 'PATH', 'PATHWAY': 'PWAY', 'PIAZZA': 'PIAZ', 'PLAZA': 'PLZA', + 'PASSAGE': 'PSGE', 'PATH': 'PATH', 'PATHWAY': 'PWAY', 'PIAZZA': 'PIAZ', 'PLACE': 'PL', 'PLAZA': 'PLZA', 'POCKET': 'PKT', 'POINT': 'PNT', 'PORT': 'PORT', 'PROMENADE': 'PROM', 'QUADRANT': 'QDRT', 'QUAYS': 'QYS', 'RAMBLE': 'RMBL', 'REST': 'REST', 'RETREAT': 'RTT', 'RIDGE': 'RDGE', 'RISE': 'RISE', 'ROAD': 'RD', 'ROTARY': 'RTY', 'ROUTE': 'RTE', 'ROW': 'ROW', 'RUE': 'RUE', diff --git a/addressnet/model.py b/addressnet/model.py index 85853a2..f8dc8ab 100644 --- a/addressnet/model.py +++ b/addressnet/model.py @@ -18,12 +18,12 @@ def model_fn(features: Dict[str, tf.Tensor], labels: tf.Tensor, mode: str, param rnn_size = params.get("rnn_size", 128) rnn_layers = params.get("rnn_layers", 3) - embeddings = tf.get_variable("embeddings", dtype=tf.float32, initializer=tf.random_normal(shape=(len(vocab), 8))) - encoded_strings = tf.nn.embedding_lookup(embeddings, encoded_text) + embeddings = tf.compat.v1.get_variable("embeddings", dtype=tf.float32, initializer=tf.random.normal(shape=(len(vocab), 8))) + encoded_strings = tf.nn.embedding_lookup(params=embeddings, ids=encoded_text) logits, loss = nnet(encoded_strings, lengths, rnn_layers, rnn_size, labels, mode == tf.estimator.ModeKeys.TRAIN) - predicted_classes = tf.argmax(logits, axis=2) + predicted_classes = tf.argmax(input=logits, axis=2) if mode == tf.estimator.ModeKeys.PREDICT: predictions = { @@ -38,7 +38,7 @@ def model_fn(features: Dict[str, tf.Tensor], labels: tf.Tensor, mode: str, param mode, loss=loss, eval_metric_ops=metrics) if mode == tf.estimator.ModeKeys.TRAIN: - train_op = tf.train.AdamOptimizer(learning_rate=0.0001).minimize(loss, global_step=tf.train.get_global_step()) + train_op = tf.compat.v1.train.AdamOptimizer(learning_rate=0.0001).minimize(loss, global_step=tf.compat.v1.train.get_global_step()) return tf.estimator.EstimatorSpec(mode, loss=loss, train_op=train_op) @@ -57,19 +57,19 @@ def nnet(encoded_strings: tf.Tensor, lengths: tf.Tensor, rnn_layers: int, rnn_si def rnn_cell(): probs = 0.8 if training else 1.0 - return tf.contrib.rnn.DropoutWrapper(tf.contrib.cudnn_rnn.CudnnCompatibleGRUCell(rnn_size), + return tf.compat.v1.nn.rnn_cell.DropoutWrapper(tf.compat.v1.nn.rnn_cell.GRUCell(rnn_size), state_keep_prob=probs, output_keep_prob=probs) - rnn_cell_fw = tf.nn.rnn_cell.MultiRNNCell([rnn_cell() for _ in range(rnn_layers)]) - rnn_cell_bw = tf.nn.rnn_cell.MultiRNNCell([rnn_cell() for _ in range(rnn_layers)]) + rnn_cell_fw = tf.compat.v1.nn.rnn_cell.MultiRNNCell([rnn_cell() for _ in range(rnn_layers)]) + rnn_cell_bw = tf.compat.v1.nn.rnn_cell.MultiRNNCell([rnn_cell() for _ in range(rnn_layers)]) - (rnn_output_fw, rnn_output_bw), states = tf.nn.bidirectional_dynamic_rnn(rnn_cell_fw, rnn_cell_bw, encoded_strings, + (rnn_output_fw, rnn_output_bw), states = tf.compat.v1.nn.bidirectional_dynamic_rnn(rnn_cell_fw, rnn_cell_bw, encoded_strings, lengths, dtype=tf.float32) rnn_output = tf.concat([rnn_output_fw, rnn_output_bw], axis=2) - logits = tf.layers.dense(rnn_output, n_labels, activation=tf.nn.elu) + logits = tf.compat.v1.layers.dense(rnn_output, n_labels, activation=tf.nn.elu) loss = None if labels is not None: mask = tf.sequence_mask(lengths, dtype=tf.float32) - loss = tf.losses.softmax_cross_entropy(labels, logits, weights=mask) + loss = tf.compat.v1.losses.softmax_cross_entropy(labels, logits, weights=mask) return logits, loss diff --git a/addressnet/pretrained/graph.pbtxt b/addressnet/pretrained/graph.pbtxt index 5541155..d09c711 100644 --- a/addressnet/pretrained/graph.pbtxt +++ b/addressnet/pretrained/graph.pbtxt @@ -1,15 +1,19 @@ node { - name: "Const" + name: "global_step/Initializer/zeros" op: "Const" - device: "/device:CPU:0" + attr { + key: "_class" + value { + list { + s: "loc:@global_step" + } + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } @@ -17,96 +21,78 @@ node { attr { key: "dtype" value { - type: DT_STRING + type: DT_INT64 } } attr { key: "value" value { tensor { - dtype: DT_STRING + dtype: DT_INT64 tensor_shape { - dim { - size: 1 - } } - string_val: "/mnt/fast/datasets/addresses.tfrecord" + int64_val: 0 } } } } node { - name: "flat_filenames/shape" - op: "Const" - device: "/device:CPU:0" + name: "global_step" + op: "VarHandleOp" + attr { + key: "_class" + value { + list { + s: "loc:@global_step" + } + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } } attr { - key: "dtype" + key: "allowed_devices" value { - type: DT_INT32 + list { + } } } attr { - key: "value" + key: "container" value { - tensor { - dtype: DT_INT32 - tensor_shape { - dim { - size: 1 - } - } - int_val: -1 - } + s: "" } } -} -node { - name: "flat_filenames" - op: "Reshape" - input: "Const" - input: "flat_filenames/shape" - device: "/device:CPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_STRING + type: DT_INT64 } } attr { - key: "Tshape" + key: "shape" value { - type: DT_INT32 + shape { + } } } attr { - key: "_output_shapes" + key: "shared_name" value { - list { - shape { - dim { - size: 1 - } - } - } + s: "global_step" } } } node { - name: "buffer_size" - op: "Const" - device: "/device:CPU:0" + name: "global_step/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "global_step" attr { key: "_output_shapes" value { @@ -116,28 +102,23 @@ node { } } } +} +node { + name: "global_step/Assign" + op: "AssignVariableOp" + input: "global_step" + input: "global_step/Initializer/zeros" attr { key: "dtype" value { type: DT_INT64 } } - attr { - key: "value" - value { - tensor { - dtype: DT_INT64 - tensor_shape { - } - int64_val: 100000 - } - } - } } node { - name: "seed" - op: "Const" - device: "/device:CPU:0" + name: "global_step/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "global_step" attr { key: "_output_shapes" value { @@ -153,53 +134,56 @@ node { type: DT_INT64 } } +} +node { + name: "global_step/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "global_step" attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT64 - tensor_shape { + list { + shape { } - int64_val: 0 } } } } node { - name: "seed2" - op: "Const" - device: "/device:CPU:0" + name: "global_step/cond" + op: "If" + input: "global_step/VarIsInitializedOp" + input: "global_step" + input: "global_step/Initializer/zeros" attr { - key: "_output_shapes" + key: "Tcond" + value { + type: DT_BOOL + } + } + attr { + key: "Tin" value { list { - shape { - } + type: DT_RESOURCE + type: DT_INT64 } } } attr { - key: "dtype" + key: "Tout" value { - type: DT_INT64 + list { + type: DT_INT64 + } } } attr { - key: "value" + key: "_lower_using_switch_merge" value { - tensor { - dtype: DT_INT64 - tensor_shape { - } - int64_val: 0 - } + b: true } } -} -node { - name: "num_parallel_calls" - op: "Const" - device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -210,29 +194,23 @@ node { } } attr { - key: "dtype" + key: "_read_only_resource_inputs" value { - type: DT_INT32 + list { + i: 1 + } } } attr { - key: "value" + key: "else_branch" value { - tensor { - dtype: DT_INT32 - tensor_shape { - } - int_val: 8 + func { + name: "global_step_cond_false_7" } } } -} -node { - name: "num_parallel_calls_1" - op: "Const" - device: "/device:CPU:0" attr { - key: "_output_shapes" + key: "output_shapes" value { list { shape { @@ -241,27 +219,37 @@ node { } } attr { - key: "dtype" + key: "then_branch" value { - type: DT_INT32 + func { + name: "global_step_cond_true_6" + } + } + } +} +node { + name: "global_step/cond/Identity" + op: "Identity" + input: "global_step/cond" + attr { + key: "T" + value { + type: DT_INT64 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { } - int_val: 8 } } } } node { - name: "batch_size" + name: "global_step/add/y" op: "Const" - device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -284,13 +272,34 @@ node { dtype: DT_INT64 tensor_shape { } - int64_val: 300 + int64_val: 0 } } } } node { - name: "Const_1" + name: "global_step/add" + op: "AddV2" + input: "global_step/cond/Identity" + input: "global_step/add/y" + attr { + key: "T" + value { + type: DT_INT64 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } +} +node { + name: "Const" op: "Const" device: "/device:CPU:0" attr { @@ -298,8 +307,6 @@ node { value { list { shape { - dim { - } } } } @@ -307,24 +314,23 @@ node { attr { key: "dtype" value { - type: DT_INT64 + type: DT_STRING } } attr { key: "value" value { tensor { - dtype: DT_INT64 + dtype: DT_STRING tensor_shape { - dim { - } } + string_val: "./address_view" } } } } node { - name: "Const_2" + name: "flat_filenames/shape" op: "Const" device: "/device:CPU:0" attr { @@ -342,129 +348,124 @@ node { attr { key: "dtype" value { - type: DT_INT64 + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_INT64 + dtype: DT_INT32 tensor_shape { dim { size: 1 } } - int64_val: -1 + int_val: -1 } } } } node { - name: "Const_3" - op: "Const" + name: "flat_filenames" + op: "Reshape" + input: "Const" + input: "flat_filenames/shape" device: "/device:CPU:0" attr { - key: "_output_shapes" + key: "T" value { - list { - shape { - dim { - size: 2 - } - } - } + type: DT_STRING } } attr { - key: "dtype" + key: "Tshape" value { - type: DT_INT64 + type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT64 - tensor_shape { + list { + shape { dim { - size: 2 + size: 1 } } - tensor_content: "\377\377\377\377\377\377\377\377\026\000\000\000\000\000\000\000" } } } } node { - name: "padding_value" - op: "Const" + name: "TensorSliceDataset" + op: "TensorSliceDataset" + input: "flat_filenames" device: "/device:CPU:0" attr { - key: "_output_shapes" + key: "Toutput_types" value { list { - shape { - } + type: DT_STRING } } } attr { - key: "dtype" + key: "_output_shapes" value { - type: DT_INT64 + list { + shape { + } + } } } attr { - key: "value" + key: "output_shapes" value { - tensor { - dtype: DT_INT64 - tensor_shape { + list { + shape { } - int64_val: 0 } } } } node { - name: "padding_value_1" - op: "Const" + name: "FlatMapDataset" + op: "FlatMapDataset" + input: "TensorSliceDataset" device: "/device:CPU:0" attr { - key: "_output_shapes" + key: "Targuments" value { list { - shape { - } } } } attr { - key: "dtype" + key: "_output_shapes" value { - type: DT_INT64 + list { + shape { + } + } } } attr { - key: "value" + key: "f" value { - tensor { - dtype: DT_INT64 - tensor_shape { + func { + name: "__inference_Dataset_flat_map_read_one_file_30" + attr { + key: "_tf_data_function" + value { + b: true + } } - int64_val: 0 } } } -} -node { - name: "padding_value_2" - op: "Const" - device: "/device:CPU:0" attr { - key: "_output_shapes" + key: "output_shapes" value { list { shape { @@ -473,25 +474,16 @@ node { } } attr { - key: "dtype" - value { - type: DT_BOOL - } - } - attr { - key: "value" + key: "output_types" value { - tensor { - dtype: DT_BOOL - tensor_shape { - } - bool_val: false + list { + type: DT_STRING } } } } node { - name: "drop_remainder" + name: "buffer_size" op: "Const" device: "/device:CPU:0" attr { @@ -506,23 +498,23 @@ node { attr { key: "dtype" value { - type: DT_BOOL + type: DT_INT64 } } attr { key: "value" value { tensor { - dtype: DT_BOOL + dtype: DT_INT64 tensor_shape { } - bool_val: false + int64_val: 1000 } } } } node { - name: "num_parallel_calls_2" + name: "seed" op: "Const" device: "/device:CPU:0" attr { @@ -537,23 +529,23 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_INT64 } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_INT64 tensor_shape { } - int_val: 8 + int64_val: 17 } } } } node { - name: "buffer_size_1" + name: "seed2/Const" op: "Const" device: "/device:CPU:0" attr { @@ -578,14 +570,14 @@ node { dtype: DT_INT64 tensor_shape { } - int64_val: 10000 + int64_val: 0 } } } } node { - name: "IteratorV2" - op: "IteratorV2" + name: "seed2/Equal/y" + op: "Const" device: "/device:CPU:0" attr { key: "_output_shapes" @@ -597,63 +589,35 @@ node { } } attr { - key: "container" + key: "dtype" value { - s: "" + type: DT_INT64 } } attr { - key: "output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } - dim { - size: -1 - } - } - shape { - dim { - size: -1 - } - } - shape { - dim { - size: -1 - } - dim { - size: -1 - } - dim { - size: 22 - } + tensor { + dtype: DT_INT64 + tensor_shape { } + int64_val: 0 } } } +} +node { + name: "seed2/Equal" + op: "Equal" + input: "seed" + input: "seed2/Equal/y" + device: "/device:CPU:0" attr { - key: "output_types" - value { - list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL - } - } - } - attr { - key: "shared_name" + key: "T" value { - s: "" + type: DT_INT64 } } -} -node { - name: "IteratorToStringHandle" - op: "IteratorToStringHandle" - input: "IteratorV2" attr { key: "_output_shapes" value { @@ -663,199 +627,150 @@ node { } } } -} -node { - name: "ExperimentalIteratorGetDevice" - op: "ExperimentalIteratorGetDevice" - input: "IteratorV2" attr { - key: "_output_shapes" + key: "incompatible_shape_error" value { - list { - shape { - } - } + b: true } } } node { - name: "ExperimentalFunctionBufferingResource" - op: "ExperimentalFunctionBufferingResource" - input: "IteratorToStringHandle" - input: "ExperimentalIteratorGetDevice" - device: "/replica:0/task:0/device:GPU:0" + name: "seed2/Equal_1/y" + op: "Const" + device: "/device:CPU:0" attr { key: "_output_shapes" value { list { shape { - unknown_rank: true } } } } attr { - key: "buffer_size" + key: "dtype" value { - i: 1 + type: DT_INT64 } } attr { - key: "container" + key: "value" value { - s: "" + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 0 + } } } +} +node { + name: "seed2/Equal_1" + op: "Equal" + input: "seed2/Const" + input: "seed2/Equal_1/y" + device: "/device:CPU:0" attr { - key: "f" + key: "T" value { - func { - name: "_prefetch_fn_Mu452aZUX08" - } + type: DT_INT64 } } attr { - key: "output_types" + key: "_output_shapes" value { list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL + shape { + } } } } attr { - key: "shared_name" + key: "incompatible_shape_error" value { - s: "" + b: true } } } node { - name: "ExperimentalFunctionBufferingResource_1" - op: "ExperimentalFunctionBufferingResource" - input: "IteratorToStringHandle" - input: "ExperimentalIteratorGetDevice" - device: "/replica:0/task:0/device:GPU:1" + name: "seed2/LogicalAnd" + op: "LogicalAnd" + input: "seed2/Equal" + input: "seed2/Equal_1" + device: "/device:CPU:0" attr { key: "_output_shapes" value { list { shape { - unknown_rank: true } } } } - attr { - key: "buffer_size" - value { - i: 1 - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "f" - value { - func { - name: "_prefetch_fn_Mu452aZUX08" - } - } - } - attr { - key: "output_types" - value { - list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL - } - } - } - attr { - key: "shared_name" - value { - s: "" - } - } -} -node { - name: "ExperimentalFunctionBufferingResourceReset" - op: "ExperimentalFunctionBufferingResourceReset" - input: "ExperimentalFunctionBufferingResource" } node { - name: "ExperimentalFunctionBufferingResourceReset_1" - op: "ExperimentalFunctionBufferingResourceReset" - input: "ExperimentalFunctionBufferingResource_1" -} -node { - name: "TensorSliceDataset" - op: "TensorSliceDataset" - input: "flat_filenames" - input: "^ExperimentalFunctionBufferingResourceReset" - input: "^ExperimentalFunctionBufferingResourceReset_1" + name: "seed2/Const_1" + op: "Const" device: "/device:CPU:0" attr { - key: "Toutput_types" - value { - list { - type: DT_STRING - } - } - } - attr { - key: "_class" + key: "_output_shapes" value { list { - s: "loc:@IteratorV2" + shape { + } } } } attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { - } - } + type: DT_INT64 } } attr { - key: "output_shapes" + key: "value" value { - list { - shape { + tensor { + dtype: DT_INT64 + tensor_shape { } + int64_val: 2147483647 } } } } node { - name: "FlatMapDataset" - op: "FlatMapDataset" - input: "TensorSliceDataset" + name: "seed2" + op: "SelectV2" + input: "seed2/LogicalAnd" + input: "seed2/Const_1" + input: "seed2/Const" device: "/device:CPU:0" attr { - key: "Targuments" + key: "T" value { - list { - } + type: DT_INT64 } } attr { - key: "_class" + key: "_output_shapes" value { list { - s: "loc:@IteratorV2" + shape { + } } } } +} +node { + name: "ShuffleDataset" + op: "ShuffleDataset" + input: "FlatMapDataset" + input: "buffer_size" + input: "seed" + input: "seed2" + device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -865,14 +780,6 @@ node { } } } - attr { - key: "f" - value { - func { - name: "tf_data_structured_function_wrapper_v5gMBDqFZl8" - } - } - } attr { key: "output_shapes" value { @@ -890,23 +797,17 @@ node { } } } -} -node { - name: "ShuffleDataset" - op: "ShuffleDataset" - input: "FlatMapDataset" - input: "buffer_size" - input: "seed" - input: "seed2" - device: "/device:CPU:0" attr { - key: "_class" + key: "reshuffle_each_iteration" value { - list { - s: "loc:@IteratorV2" - } + b: true } } +} +node { + name: "num_parallel_calls" + op: "Const" + device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -917,32 +818,26 @@ node { } } attr { - key: "output_shapes" + key: "dtype" value { - list { - shape { - } - } + type: DT_INT64 } } attr { - key: "output_types" + key: "value" value { - list { - type: DT_STRING + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 8 } } } - attr { - key: "reshuffle_each_iteration" - value { - b: true - } - } } node { - name: "ParallelMapDataset" - op: "ParallelMapDataset" + name: "ParallelMapDatasetV2" + op: "ParallelMapDatasetV2" input: "ShuffleDataset" input: "num_parallel_calls" device: "/device:CPU:0" @@ -954,27 +849,31 @@ node { } } attr { - key: "_class" + key: "_output_shapes" value { list { - s: "loc:@IteratorV2" + shape { + } } } } attr { - key: "_output_shapes" + key: "deterministic" value { - list { - shape { - } - } + s: "default" } } attr { key: "f" value { func { - name: "tf_data_structured_function_wrapper_sRquyX3h7AA" + name: "__inference_Dataset_map_lambda_127" + attr { + key: "_tf_data_function" + value { + b: true + } + } } } } @@ -1070,6 +969,12 @@ node { } } } + attr { + key: "preserve_cardinality" + value { + b: true + } + } attr { key: "use_inter_op_parallelism" value { @@ -1078,23 +983,46 @@ node { } } node { - name: "ParallelMapDataset_1" - op: "ParallelMapDataset" - input: "ParallelMapDataset" - input: "num_parallel_calls_1" + name: "num_parallel_calls_1" + op: "Const" device: "/device:CPU:0" attr { - key: "Targuments" + key: "_output_shapes" value { list { + shape { + } } } } attr { - key: "_class" + key: "dtype" + value { + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 8 + } + } + } +} +node { + name: "ParallelMapDatasetV2_1" + op: "ParallelMapDatasetV2" + input: "ParallelMapDatasetV2" + input: "num_parallel_calls_1" + device: "/device:CPU:0" + attr { + key: "Targuments" value { list { - s: "loc:@IteratorV2" } } } @@ -1107,11 +1035,23 @@ node { } } } + attr { + key: "deterministic" + value { + s: "default" + } + } attr { key: "f" value { func { - name: "tf_data_structured_function_wrapper_mwsbaX7Sr04" + name: "__inference_Dataset_map_lambda_163" + attr { + key: "_tf_data_function" + value { + b: true + } + } } } } @@ -1135,12 +1075,18 @@ node { key: "output_types" value { list { - type: DT_INT64 + type: DT_INT32 type: DT_INT64 type: DT_BOOL } } } + attr { + key: "preserve_cardinality" + value { + b: true + } + } attr { key: "use_inter_op_parallelism" value { @@ -1149,104 +1095,210 @@ node { } } node { - name: "PaddedBatchDatasetV2" - op: "PaddedBatchDatasetV2" - input: "ParallelMapDataset_1" - input: "batch_size" - input: "Const_1" - input: "Const_2" - input: "Const_3" - input: "padding_value" - input: "padding_value_1" - input: "padding_value_2" - input: "drop_remainder" + name: "batch_size" + op: "Const" device: "/device:CPU:0" attr { - key: "N" + key: "_output_shapes" value { - i: 3 + list { + shape { + } + } } } attr { - key: "Toutput_types" + key: "dtype" value { - list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL - } + type: DT_INT64 } } attr { - key: "_class" + key: "value" value { - list { - s: "loc:@IteratorV2" + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 10 } } } +} +node { + name: "Const_1" + op: "Const" + device: "/device:CPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } } attr { - key: "output_shapes" + key: "dtype" value { - list { - shape { + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { dim { - size: -1 } } + } + } + } +} +node { + name: "Const_2" + op: "Const" + device: "/device:CPU:0" + attr { + key: "_output_shapes" + value { + list { shape { dim { - size: -1 + size: 1 } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { dim { - size: -1 + size: 1 } } + int64_val: -1 + } + } + } +} +node { + name: "Const_3" + op: "Const" + device: "/device:CPU:0" + attr { + key: "_output_shapes" + value { + list { shape { dim { - size: -1 - } - dim { - size: -1 + size: 2 } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { dim { - size: 22 + size: 2 } } + tensor_content: "\377\377\377\377\377\377\377\377\026\000\000\000\000\000\000\000" } } } } node { - name: "ParallelMapDataset_2" - op: "ParallelMapDataset" - input: "PaddedBatchDatasetV2" - input: "num_parallel_calls_2" + name: "padding_value" + op: "Const" device: "/device:CPU:0" attr { - key: "Targuments" + key: "_output_shapes" value { list { + shape { + } } } } attr { - key: "_class" + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 0 + } + } + } +} +node { + name: "padding_value_1" + op: "Const" + device: "/device:CPU:0" + attr { + key: "_output_shapes" value { list { - s: "loc:@IteratorV2" + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 0 } } } +} +node { + name: "padding_value_2" + op: "Const" + device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -1257,10 +1309,89 @@ node { } } attr { - key: "f" + key: "dtype" value { - func { - name: "tf_data_structured_function_wrapper_n67ZymtraAM" + type: DT_BOOL + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_BOOL + tensor_shape { + } + bool_val: false + } + } + } +} +node { + name: "drop_remainder" + op: "Const" + device: "/device:CPU:0" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_BOOL + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_BOOL + tensor_shape { + } + bool_val: false + } + } + } +} +node { + name: "PaddedBatchDatasetV2" + op: "PaddedBatchDatasetV2" + input: "ParallelMapDatasetV2_1" + input: "batch_size" + input: "Const_1" + input: "Const_2" + input: "Const_3" + input: "padding_value" + input: "padding_value_1" + input: "padding_value_2" + input: "drop_remainder" + device: "/device:CPU:0" + attr { + key: "N" + value { + i: 3 + } + } + attr { + key: "Toutput_types" + value { + list { + type: DT_INT32 + type: DT_INT64 + type: DT_BOOL + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } } } } @@ -1272,11 +1403,11 @@ node { dim { size: -1 } + } + shape { dim { size: -1 } - } - shape { dim { size: -1 } @@ -1296,33 +1427,53 @@ node { } } attr { - key: "output_types" + key: "parallel_copy" + value { + b: false + } + } +} +node { + name: "num_parallel_calls_2" + op: "Const" + device: "/device:CPU:0" + attr { + key: "_output_shapes" value { list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL + shape { + } } } } attr { - key: "use_inter_op_parallelism" + key: "dtype" value { - b: true + type: DT_INT64 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT64 + tensor_shape { + } + int64_val: 8 + } } } } node { - name: "PrefetchDataset" - op: "PrefetchDataset" - input: "ParallelMapDataset_2" - input: "buffer_size_1" + name: "ParallelMapDatasetV2_2" + op: "ParallelMapDatasetV2" + input: "PaddedBatchDatasetV2" + input: "num_parallel_calls_2" device: "/device:CPU:0" attr { - key: "_class" + key: "Targuments" value { list { - s: "loc:@IteratorV2" } } } @@ -1335,6 +1486,26 @@ node { } } } + attr { + key: "deterministic" + value { + s: "default" + } + } + attr { + key: "f" + value { + func { + name: "__inference_Dataset_map_lambda_182" + attr { + key: "_tf_data_function" + value { + b: true + } + } + } + } + } attr { key: "output_shapes" value { @@ -1371,38 +1542,28 @@ node { value { list { type: DT_INT64 - type: DT_INT64 + type: DT_INT32 type: DT_BOOL } } } -} -node { - name: "make_initializer" - op: "MakeIterator" - input: "PrefetchDataset" - input: "IteratorV2" - device: "/device:CPU:0" attr { - key: "_class" + key: "preserve_cardinality" value { - list { - s: "loc:@IteratorV2" - } + b: true } } -} -node { - name: "global_step/Initializer/zeros" - op: "Const" attr { - key: "_class" + key: "use_inter_op_parallelism" value { - list { - s: "loc:@global_step" - } + b: true } } +} +node { + name: "buffer_size_1" + op: "Const" + device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -1425,20 +1586,22 @@ node { dtype: DT_INT64 tensor_shape { } - int64_val: 0 + int64_val: 10000 } } } } node { - name: "global_step" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" + name: "PrefetchDataset" + op: "PrefetchDataset" + input: "ParallelMapDatasetV2_2" + input: "buffer_size_1" + device: "/device:CPU:0" attr { key: "_class" value { list { - s: "loc:@global_step" + s: "loc:@ParallelMapDatasetV2_2" } } } @@ -1452,177 +1615,249 @@ node { } } attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" + key: "buffer_size_min" value { - type: DT_INT64 + i: 0 } } attr { - key: "shape" + key: "legacy_autotune" value { - shape { - } + b: true } } attr { - key: "shared_name" - value { - s: "global_step" - } - } -} -node { - name: "global_step/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "global_step" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_output_shapes" + key: "output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } } } } } -} -node { - name: "global_step/Assign" - op: "AssignVariableOp" - input: "global_step" - input: "global_step/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_class" + key: "output_types" value { list { - s: "loc:@global_step" + type: DT_INT64 + type: DT_INT32 + type: DT_BOOL } } } attr { - key: "dtype" + key: "slack_period" value { - type: DT_INT64 + i: 0 } } } node { - name: "global_step/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "global_step" - device: "/replica:0/task:0/device:GPU:0" + name: "ModelDataset" + op: "ModelDataset" + input: "PrefetchDataset" attr { - key: "_class" + key: "_output_shapes" value { list { - s: "loc:@global_step" + shape { + } } } } attr { - key: "_output_shapes" + key: "algorithm" value { - list { - shape { - } - } + i: 0 } } attr { - key: "dtype" + key: "cpu_budget" value { - type: DT_INT64 + i: 0 } } -} -node { - name: "global_step/replica_1/Initializer/Identity" - op: "Identity" - input: "global_step/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:1" attr { - key: "T" + key: "output_shapes" value { - type: DT_INT64 + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } + } + } } } attr { - key: "_class" + key: "output_types" value { list { - s: "loc:@global_step/replica_1" + type: DT_INT64 + type: DT_INT32 + type: DT_BOOL } } } + attr { + key: "ram_budget" + value { + i: 0 + } + } +} +node { + name: "optimizations_enabled" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } } -} -node { - name: "global_step/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { - key: "_class" + key: "dtype" value { - list { - s: "loc:@global_step/replica_1" + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + } + } } } } +} +node { + name: "optimizations_disabled" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } } attr { - key: "container" + key: "dtype" value { - s: "" + type: DT_STRING } } attr { - key: "dtype" + key: "value" value { - type: DT_INT64 + tensor { + dtype: DT_STRING + tensor_shape { + dim { + } + } + } } } +} +node { + name: "optimizations_default" + op: "Const" attr { - key: "shape" + key: "_output_shapes" value { - shape { + list { + shape { + dim { + size: 3 + } + } } } } attr { - key: "shared_name" + key: "dtype" value { - s: "global_step/replica_1" + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + dim { + size: 3 + } + } + string_val: "map_and_batch_fusion" + string_val: "noop_elimination" + string_val: "shuffle_and_repeat_fusion" + } } } } node { - name: "global_step/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "global_step/replica_1" - device: "/replica:0/task:0/device:GPU:1" + name: "OptimizeDatasetV2" + op: "OptimizeDatasetV2" + input: "ModelDataset" + input: "optimizations_enabled" + input: "optimizations_disabled" + input: "optimizations_default" attr { key: "_output_shapes" value { @@ -1632,38 +1867,68 @@ node { } } } -} -node { - name: "global_step/replica_1/Assign" - op: "AssignVariableOp" - input: "global_step/replica_1" - input: "global_step/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" attr { - key: "_class" + key: "optimization_configs" value { list { - s: "loc:@global_step/replica_1" + s: "autotune_buffer_sizes:autotune:true" + s: "disable_prefetch_legacy_autotune:autotune:true" + s: "enable_gradient_descent:autotune:true" + s: "map_parallelization:autotune:true" } } } attr { - key: "dtype" + key: "output_shapes" value { - type: DT_INT64 + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } + } + } + } + } + attr { + key: "output_types" + value { + list { + type: DT_INT64 + type: DT_INT32 + type: DT_BOOL + } } } } node { - name: "global_step/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "global_step/replica_1" - device: "/replica:0/task:0/device:GPU:1" + name: "IteratorV2" + op: "IteratorV2" + device: "/device:CPU:0" attr { key: "_class" value { list { - s: "loc:@global_step/replica_1" + s: "loc:@ParallelMapDatasetV2_2" } } } @@ -1677,61 +1942,85 @@ node { } } attr { - key: "dtype" + key: "container" value { - type: DT_INT64 + s: "" } } -} -node { - name: "Identity/ReadVariableOp" - op: "ReadVariableOp" - input: "global_step" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_output_shapes" + key: "output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } } } } } attr { - key: "dtype" + key: "output_types" value { - type: DT_INT64 + list { + type: DT_INT64 + type: DT_INT32 + type: DT_BOOL + } } } -} -node { - name: "Identity" - op: "Identity" - input: "Identity/ReadVariableOp" attr { - key: "T" + key: "shared_name" value { - type: DT_INT64 + s: "" } } +} +node { + name: "MakeIterator" + op: "MakeIterator" + input: "OptimizeDatasetV2" + input: "IteratorV2" + device: "/device:CPU:0" attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@ParallelMapDatasetV2_2" } } } } node { - name: "Identity_1" - op: "Identity" - input: "Identity" + name: "IteratorToStringHandle" + op: "IteratorToStringHandle" + input: "IteratorV2" + device: "/device:CPU:0" attr { - key: "T" + key: "_class" value { - type: DT_INT64 + list { + s: "loc:@ParallelMapDatasetV2_2" + } } } attr { @@ -1745,9 +2034,18 @@ node { } } node { - name: "ExperimentalFunctionBufferingResourceGetNext" - op: "ExperimentalFunctionBufferingResourceGetNext" - input: "ExperimentalFunctionBufferingResource" + name: "IteratorGetNext" + op: "IteratorGetNext" + input: "IteratorV2" + device: "/device:CPU:0" + attr { + key: "_class" + value { + list { + s: "loc:@ParallelMapDatasetV2_2" + } + } + } attr { key: "_output_shapes" value { @@ -1780,22 +2078,7 @@ node { } } attr { - key: "output_types" - value { - list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL - } - } - } -} -node { - name: "ExperimentalFunctionBufferingResourceGetNext_1" - op: "ExperimentalFunctionBufferingResourceGetNext" - input: "ExperimentalFunctionBufferingResource_1" - attr { - key: "_output_shapes" + key: "output_shapes" value { list { shape { @@ -1830,7 +2113,7 @@ node { value { list { type: DT_INT64 - type: DT_INT64 + type: DT_INT32 type: DT_BOOL } } @@ -1839,7 +2122,6 @@ node { node { name: "random_normal/shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -1876,7 +2158,6 @@ node { node { name: "random_normal/mean" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -1907,7 +2188,6 @@ node { node { name: "random_normal/stddev" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -1939,7 +2219,6 @@ node { name: "random_normal/RandomStandardNormal" op: "RandomStandardNormal" input: "random_normal/shape" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -1970,13 +2249,13 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 1 } } } @@ -1985,7 +2264,6 @@ node { op: "Mul" input: "random_normal/RandomStandardNormal" input: "random_normal/stddev" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -2013,7 +2291,6 @@ node { op: "Add" input: "random_normal/mul" input: "random_normal/mean" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -2039,7 +2316,6 @@ node { node { name: "embeddings" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { @@ -2057,6 +2333,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -2093,7 +2376,6 @@ node { name: "embeddings/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" input: "embeddings" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2109,15 +2391,6 @@ node { op: "AssignVariableOp" input: "embeddings" input: "random_normal" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@embeddings" - } - } - } attr { key: "dtype" value { @@ -2129,15 +2402,6 @@ node { name: "embeddings/Read/ReadVariableOp" op: "ReadVariableOp" input: "embeddings" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@embeddings" - } - } - } attr { key: "_output_shapes" value { @@ -2161,21 +2425,21 @@ node { } } node { - name: "embeddings/replica_1/Initializer/Identity" - op: "Identity" - input: "random_normal" - device: "/replica:0/task:0/device:GPU:1" + name: "embedding_lookup" + op: "ResourceGather" + input: "embeddings" + input: "IteratorGetNext" attr { - key: "T" + key: "Tindices" value { - type: DT_FLOAT + type: DT_INT64 } } attr { key: "_class" value { list { - s: "loc:@embeddings/replica_1" + s: "loc:@embeddings" } } } @@ -2185,125 +2449,10 @@ node { list { shape { dim { - size: 74 + size: -1 } dim { - size: 8 - } - } - } - } - } -} -node { - name: "embeddings/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@embeddings/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 74 - } - dim { - size: 8 - } - } - } - } - attr { - key: "shared_name" - value { - s: "embeddings/replica_1" - } - } -} -node { - name: "embeddings/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "embeddings/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } -} -node { - name: "embeddings/replica_1/Assign" - op: "AssignVariableOp" - input: "embeddings/replica_1" - input: "embeddings/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@embeddings/replica_1" - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "embeddings/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "embeddings/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@embeddings/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 74 + size: -1 } dim { size: 8 @@ -2313,30 +2462,9 @@ node { } } attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "embedding_lookup/ReadVariableOp" - op: "ReadVariableOp" - input: "embeddings" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_output_shapes" + key: "batch_dims" value { - list { - shape { - dim { - size: 74 - } - dim { - size: 8 - } - } - } + i: 0 } } attr { @@ -2345,67 +2473,19 @@ node { type: DT_FLOAT } } -} -node { - name: "embedding_lookup/axis" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@embedding_lookup/ReadVariableOp" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "dtype" - value { - type: DT_INT32 - } - } attr { - key: "value" + key: "validate_indices" value { - tensor { - dtype: DT_INT32 - tensor_shape { - } - int_val: 0 - } + b: true } } } node { - name: "embedding_lookup" - op: "GatherV2" - input: "embedding_lookup/ReadVariableOp" - input: "ExperimentalFunctionBufferingResourceGetNext" - input: "embedding_lookup/axis" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "Taxis" - value { - type: DT_INT32 - } - } - attr { - key: "Tindices" - value { - type: DT_INT64 - } - } + name: "embedding_lookup/Identity" + op: "Identity" + input: "embedding_lookup" attr { - key: "Tparams" + key: "T" value { type: DT_FLOAT } @@ -2414,7 +2494,7 @@ node { key: "_class" value { list { - s: "loc:@embedding_lookup/ReadVariableOp" + s: "loc:@embeddings" } } } @@ -2438,10 +2518,9 @@ node { } } node { - name: "embedding_lookup/Identity" + name: "embedding_lookup/Identity_1" op: "Identity" - input: "embedding_lookup" - device: "/replica:0/task:0/device:GPU:0" + input: "embedding_lookup/Identity" attr { key: "T" value { @@ -2470,7 +2549,6 @@ node { node { name: "DropoutWrapperInit/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2501,7 +2579,6 @@ node { node { name: "DropoutWrapperInit/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2532,7 +2609,6 @@ node { node { name: "DropoutWrapperInit/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2563,7 +2639,6 @@ node { node { name: "DropoutWrapperInit_1/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2594,7 +2669,6 @@ node { node { name: "DropoutWrapperInit_1/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2625,7 +2699,6 @@ node { node { name: "DropoutWrapperInit_1/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2656,7 +2729,6 @@ node { node { name: "DropoutWrapperInit_2/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2687,7 +2759,6 @@ node { node { name: "DropoutWrapperInit_2/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2718,7 +2789,6 @@ node { node { name: "DropoutWrapperInit_2/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2749,7 +2819,6 @@ node { node { name: "DropoutWrapperInit_3/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2780,7 +2849,6 @@ node { node { name: "DropoutWrapperInit_3/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2811,7 +2879,6 @@ node { node { name: "DropoutWrapperInit_3/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2842,7 +2909,6 @@ node { node { name: "DropoutWrapperInit_4/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2873,7 +2939,6 @@ node { node { name: "DropoutWrapperInit_4/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2904,7 +2969,6 @@ node { node { name: "DropoutWrapperInit_4/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2935,7 +2999,6 @@ node { node { name: "DropoutWrapperInit_5/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2966,7 +3029,6 @@ node { node { name: "DropoutWrapperInit_5/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -2997,7 +3059,6 @@ node { node { name: "DropoutWrapperInit_5/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3028,7 +3089,6 @@ node { node { name: "bidirectional_rnn/fw/fw/Rank" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3059,7 +3119,6 @@ node { node { name: "bidirectional_rnn/fw/fw/range/start" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3090,7 +3149,6 @@ node { node { name: "bidirectional_rnn/fw/fw/range/delta" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3124,7 +3182,6 @@ node { input: "bidirectional_rnn/fw/fw/range/start" input: "bidirectional_rnn/fw/fw/Rank" input: "bidirectional_rnn/fw/fw/range/delta" - device: "/replica:0/task:0/device:GPU:0" attr { key: "Tidx" value { @@ -3147,7 +3204,6 @@ node { node { name: "bidirectional_rnn/fw/fw/concat/values_0" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3184,7 +3240,6 @@ node { node { name: "bidirectional_rnn/fw/fw/concat/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3218,7 +3273,6 @@ node { input: "bidirectional_rnn/fw/fw/concat/values_0" input: "bidirectional_rnn/fw/fw/range" input: "bidirectional_rnn/fw/fw/concat/axis" - device: "/replica:0/task:0/device:GPU:0" attr { key: "N" value { @@ -3253,9 +3307,8 @@ node { node { name: "bidirectional_rnn/fw/fw/transpose" op: "Transpose" - input: "embedding_lookup/Identity" + input: "embedding_lookup/Identity_1" input: "bidirectional_rnn/fw/fw/concat" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -3287,47 +3340,10 @@ node { } } } -node { - name: "bidirectional_rnn/fw/fw/ToInt32" - op: "Cast" - input: "ExperimentalFunctionBufferingResourceGetNext:1" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "DstT" - value { - type: DT_INT32 - } - } - attr { - key: "SrcT" - value { - type: DT_INT64 - } - } - attr { - key: "Truncate" - value { - b: false - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: -1 - } - } - } - } - } -} node { name: "bidirectional_rnn/fw/fw/sequence_length" op: "Identity" - input: "bidirectional_rnn/fw/fw/ToInt32" - device: "/replica:0/task:0/device:GPU:0" + input: "IteratorGetNext:1" attr { key: "T" value { @@ -3351,7 +3367,6 @@ node { name: "bidirectional_rnn/fw/fw/Shape" op: "Shape" input: "bidirectional_rnn/fw/fw/transpose" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -3380,7 +3395,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice/stack" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3417,7 +3431,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice/stack_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3454,7 +3467,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice/stack_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3495,7 +3507,6 @@ node { input: "bidirectional_rnn/fw/fw/strided_slice/stack" input: "bidirectional_rnn/fw/fw/strided_slice/stack_1" input: "bidirectional_rnn/fw/fw/strided_slice/stack_2" - device: "/replica:0/task:0/device:GPU:0" attr { key: "Index" value { @@ -3549,9 +3560,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3580,11 +3590,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims" op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims/dim" attr { key: "T" value { @@ -3611,9 +3620,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/Const" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3648,9 +3656,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat/axis" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/concat/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3679,12 +3686,11 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/concat" op: "ConcatV2" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/Const" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/Const" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/concat/axis" attr { key: "N" value { @@ -3717,9 +3723,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros/Const" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/zeros/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3748,11 +3753,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/zeros" op: "Fill" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros/Const" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/concat" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/zeros/Const" attr { key: "T" value { @@ -3782,9 +3786,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims_1/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3813,11 +3816,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims_1" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims_1" op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims_1/dim" attr { key: "T" value { @@ -3844,9 +3846,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/Const_1" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3881,9 +3882,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3912,11 +3912,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims" op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims/dim" attr { key: "T" value { @@ -3943,9 +3942,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/Const" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -3980,9 +3978,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat/axis" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/concat/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4011,12 +4008,11 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/concat" op: "ConcatV2" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/Const" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/Const" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/concat/axis" attr { key: "N" value { @@ -4049,9 +4045,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros/Const" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/zeros/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4080,11 +4075,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/zeros" op: "Fill" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros/Const" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/concat" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/zeros/Const" attr { key: "T" value { @@ -4114,9 +4108,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims_1/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4145,11 +4138,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims_1" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims_1" op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims_1/dim" attr { key: "T" value { @@ -4176,9 +4168,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/Const_1" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4213,9 +4204,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4244,11 +4234,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims" op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims/dim" attr { key: "T" value { @@ -4275,9 +4264,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/Const" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4312,9 +4300,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/concat/axis" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/concat/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4343,12 +4330,11 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/concat" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/concat" op: "ConcatV2" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/Const" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/Const" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/concat/axis" attr { key: "N" value { @@ -4381,9 +4367,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/zeros/Const" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/zeros/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4412,11 +4397,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/zeros" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/zeros" op: "Fill" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/concat" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/zeros/Const" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/concat" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/zeros/Const" attr { key: "T" value { @@ -4446,9 +4430,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims_1/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4477,11 +4460,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims_1" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims_1" op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/ExpandDims_1/dim" attr { key: "T" value { @@ -4508,9 +4490,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/Const_1" + name: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4548,7 +4529,6 @@ node { name: "bidirectional_rnn/fw/fw/Shape_1" op: "Shape" input: "bidirectional_rnn/fw/fw/sequence_length" - device: 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tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "Expected shape for Tensor bidirectional_rnn/fw/fw/sequence_length:0 is " + } + } + } +} +node { + name: "bidirectional_rnn/fw/fw/Assert/Assert/data_2" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "dtype" + value { + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: " but saw shape: " + } + } + } +} +node { + name: "bidirectional_rnn/fw/fw/Assert/Assert" + op: "Assert" + input: "bidirectional_rnn/fw/fw/All" + input: "bidirectional_rnn/fw/fw/Assert/Assert/data_0" + input: "bidirectional_rnn/fw/fw/stack" + input: "bidirectional_rnn/fw/fw/Assert/Assert/data_2" + input: "bidirectional_rnn/fw/fw/Shape_1" + attr { + key: "T" + value { + list { + type: DT_STRING + type: DT_INT32 + type: DT_STRING + type: DT_INT32 + } + } + } + attr { + key: "summarize" + value { + i: 3 + } + } +} +node { + name: "bidirectional_rnn/fw/fw/CheckSeqLen" + op: "Identity" + input: "bidirectional_rnn/fw/fw/sequence_length" + input: "^bidirectional_rnn/fw/fw/Assert/Assert" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + } + } + } + } +} +node { + name: "bidirectional_rnn/fw/fw/Shape_2" + op: "Shape" + input: "bidirectional_rnn/fw/fw/transpose" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 3 + } + } + } + } + } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } +} +node { + name: "bidirectional_rnn/fw/fw/strided_slice_1/stack" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4946,7 +4920,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice_1/stack_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -4983,7 +4956,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice_1/stack_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5024,7 +4996,6 @@ node { input: "bidirectional_rnn/fw/fw/strided_slice_1/stack" input: "bidirectional_rnn/fw/fw/strided_slice_1/stack_1" input: "bidirectional_rnn/fw/fw/strided_slice_1/stack_2" - device: "/replica:0/task:0/device:GPU:0" attr { key: "Index" value { @@ -5081,7 +5052,6 @@ node { name: "bidirectional_rnn/fw/fw/Shape_3" op: "Shape" input: "bidirectional_rnn/fw/fw/transpose" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -5110,7 +5080,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice_2/stack" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5147,7 +5116,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice_2/stack_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5184,7 +5152,6 @@ node { node { name: "bidirectional_rnn/fw/fw/strided_slice_2/stack_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5225,7 +5192,6 @@ node { input: "bidirectional_rnn/fw/fw/strided_slice_2/stack" input: "bidirectional_rnn/fw/fw/strided_slice_2/stack_1" input: "bidirectional_rnn/fw/fw/strided_slice_2/stack_2" - device: "/replica:0/task:0/device:GPU:0" attr { key: "Index" value { @@ -5281,7 +5247,6 @@ node { node { name: "bidirectional_rnn/fw/fw/ExpandDims/dim" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5314,7 +5279,6 @@ node { op: "ExpandDims" input: "bidirectional_rnn/fw/fw/strided_slice_2" input: "bidirectional_rnn/fw/fw/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -5343,7 +5307,6 @@ node { node { name: "bidirectional_rnn/fw/fw/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5380,7 +5343,6 @@ node { node { name: "bidirectional_rnn/fw/fw/concat_1/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5414,7 +5376,6 @@ node { input: "bidirectional_rnn/fw/fw/ExpandDims" input: "bidirectional_rnn/fw/fw/Const_1" input: "bidirectional_rnn/fw/fw/concat_1/axis" - device: "/replica:0/task:0/device:GPU:0" attr { key: "N" value { @@ -5449,7 +5410,6 @@ node { node { name: "bidirectional_rnn/fw/fw/zeros/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5482,7 +5442,6 @@ node { op: "Fill" input: "bidirectional_rnn/fw/fw/concat_1" input: "bidirectional_rnn/fw/fw/zeros/Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -5514,7 +5473,6 @@ node { node { name: "bidirectional_rnn/fw/fw/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5553,7 +5511,6 @@ node { op: "Min" input: "bidirectional_rnn/fw/fw/CheckSeqLen" input: "bidirectional_rnn/fw/fw/Const_2" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -5585,7 +5542,6 @@ node { node { name: "bidirectional_rnn/fw/fw/Const_3" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5624,7 +5580,6 @@ node { op: "Max" input: "bidirectional_rnn/fw/fw/CheckSeqLen" input: "bidirectional_rnn/fw/fw/Const_3" - device: "/replica:0/task:0/device:GPU:0" attr { key: "T" value { @@ -5656,7 +5611,6 @@ node { node { name: "bidirectional_rnn/fw/fw/time" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -5685,9 +5639,8 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/TensorArray" - op: "TensorArrayV3" - input: "bidirectional_rnn/fw/fw/strided_slice_1" + name: "bidirectional_rnn/fw/fw/TensorArrayV2/element_shape" + op: "Const" attr { key: "_output_shapes" value { @@ -5697,59 +5650,60 @@ node { size: 2 } } - shape { - } } } } - attr { - key: "clear_after_read" - value { - b: true - } - } attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "dynamic_size" + key: "value" value { - b: false + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "\377\377\377\377\200\000\000\000" + } } } +} +node { + name: "bidirectional_rnn/fw/fw/TensorArrayV2" + op: "TensorListReserve" + input: "bidirectional_rnn/fw/fw/TensorArrayV2/element_shape" + input: "bidirectional_rnn/fw/fw/strided_slice_1" attr { - key: "element_shape" + key: "_output_shapes" value { - shape { - dim { - size: -1 - } - dim { - size: 128 + list { + shape { } } } } attr { - key: "identical_element_shapes" + key: "element_dtype" value { - b: true + type: DT_FLOAT } } attr { - key: "tensor_array_name" + key: "shape_type" value { - s: "bidirectional_rnn/fw/fw/dynamic_rnn/output_0" + type: DT_INT32 } } } node { - name: "bidirectional_rnn/fw/fw/TensorArray_1" - op: "TensorArrayV3" - input: "bidirectional_rnn/fw/fw/strided_slice_1" + name: "bidirectional_rnn/fw/fw/TensorArrayV2_1/element_shape" + op: "Const" attr { key: "_output_shapes" value { @@ -5759,96 +5713,67 @@ node { size: 2 } } - shape { - } } } } - attr { - key: "clear_after_read" - value { - b: true - } - } attr { key: "dtype" value { - type: DT_FLOAT - } - } - attr { - key: "dynamic_size" - value { - b: false + type: DT_INT32 } } attr { - key: "element_shape" + key: "value" value { - shape { - dim { - size: -1 - } - dim { - size: 8 + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } } + tensor_content: "\377\377\377\377\010\000\000\000" } } } - attr { - key: "identical_element_shapes" - value { - b: true - } - } - attr { - key: "tensor_array_name" - value { - s: "bidirectional_rnn/fw/fw/dynamic_rnn/input_0" - } - } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/Shape" - op: "Shape" - input: "bidirectional_rnn/fw/fw/transpose" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } + name: "bidirectional_rnn/fw/fw/TensorArrayV2_1" + op: "TensorListReserve" + input: "bidirectional_rnn/fw/fw/TensorArrayV2_1/element_shape" + input: "bidirectional_rnn/fw/fw/strided_slice_1" attr { key: "_output_shapes" value { list { shape { - dim { - size: 3 - } } } } } attr { - key: "out_type" + key: "element_dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape_type" value { type: DT_INT32 } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice/stack" + name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor/element_shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { dim { - size: 1 + size: 2 } } } @@ -5867,63 +5792,49 @@ node { dtype: DT_INT32 tensor_shape { dim { - size: 1 + size: 2 } } - int_val: 0 + tensor_content: "\377\377\377\377\010\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice/stack_1" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor" + op: "TensorListFromTensor" + input: "bidirectional_rnn/fw/fw/transpose" + input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor/element_shape" attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } } attr { - key: "dtype" + key: "element_dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "value" + key: "shape_type" value { - tensor { - dtype: DT_INT32 - tensor_shape { - dim { - size: 1 - } - } - int_val: 1 - } + type: DT_INT32 } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice/stack_2" + name: "bidirectional_rnn/fw/fw/Maximum/x" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } @@ -5940,9 +5851,6 @@ node { tensor { dtype: DT_INT32 tensor_shape { - dim { - size: 1 - } } int_val: 1 } @@ -5950,19 +5858,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice" - op: "StridedSlice" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/Shape" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice/stack" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice/stack_1" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice/stack_2" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "Index" - value { - type: DT_INT32 - } - } + name: "bidirectional_rnn/fw/fw/Maximum" + op: "Maximum" + input: "bidirectional_rnn/fw/fw/Maximum/x" + input: "bidirectional_rnn/fw/fw/Max" attr { key: "T" value { @@ -5978,41 +5877,31 @@ node { } } } +} +node { + name: "bidirectional_rnn/fw/fw/Minimum" + op: "Minimum" + input: "bidirectional_rnn/fw/fw/strided_slice_1" + input: "bidirectional_rnn/fw/fw/Maximum" attr { - key: "begin_mask" - value { - i: 0 - } - } - attr { - key: "ellipsis_mask" - value { - i: 0 - } - } - attr { - key: "end_mask" - value { - i: 0 - } - } - attr { - key: "new_axis_mask" + key: "T" value { - i: 0 + type: DT_INT32 } } attr { - key: "shrink_axis_mask" + key: "_output_shapes" value { - i: 1 + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/range/start" + name: "bidirectional_rnn/fw/fw/while/loop_counter" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -6041,14 +5930,24 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/range/delta" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { + dim { + size: 2 + } } } } @@ -6065,23 +5964,24 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 2 + } } - int_val: 1 + tensor_content: "\210\000\000\000\000\001\000\000" } } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/range" - op: "Range" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/range/start" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/strided_slice" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/range/delta" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/min" + op: "Const" attr { - key: "Tidx" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -6089,50 +5989,39 @@ node { value { list { shape { - dim { - size: -1 - } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3" - op: "TensorArrayScatterV3" - input: "bidirectional_rnn/fw/fw/TensorArray_1" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/range" - input: "bidirectional_rnn/fw/fw/transpose" - input: "bidirectional_rnn/fw/fw/TensorArray_1:1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_class" + key: "value" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/transpose" + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: -0.12371791154146194 } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/max" + op: "Const" attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } -} -node { - name: "bidirectional_rnn/fw/fw/Maximum/x" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -6145,27 +6034,25 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_FLOAT tensor_shape { } - int_val: 1 + float_val: 0.12371791154146194 } } } } node { - name: "bidirectional_rnn/fw/fw/Maximum" - op: "Maximum" - input: "bidirectional_rnn/fw/fw/Maximum/x" - input: "bidirectional_rnn/fw/fw/Max" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + op: "RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -6173,116 +6060,93 @@ node { } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } -} -node { - name: "bidirectional_rnn/fw/fw/Minimum" - op: "Minimum" - input: "bidirectional_rnn/fw/fw/strided_slice_1" - input: "bidirectional_rnn/fw/fw/Maximum" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_INT32 - } - } attr { key: "_output_shapes" value { list { shape { + dim { + size: 136 + } + dim { + size: 256 + } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/iteration_counter" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { - } - } + type: DT_FLOAT } } attr { - key: "dtype" + key: "seed" value { - type: DT_INT32 + i: 17 } } attr { - key: "value" + key: "seed2" value { - tensor { - dtype: DT_INT32 - tensor_shape { - } - int_val: 0 - } + i: 2 } } } node { - name: "bidirectional_rnn/fw/fw/while/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/fw/while/iteration_counter" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/sub" + op: "Sub" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "_output_shapes" value { - b: false + list { + shape { + } + } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/mul" + op: "Mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/sub" attr { - key: "parallel_iterations" + key: "T" value { - i: 32 + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Enter_1" - op: "Enter" - input: "bidirectional_rnn/fw/fw/time" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -6290,38 +6154,61 @@ node { value { list { shape { + dim { + size: 136 + } + dim { + size: 256 + } } } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform" + op: "Add" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { - key: "frame_name" + key: "T" value { - s: "bidirectional_rnn/fw/fw/while/while_context" + type: DT_FLOAT } } attr { - key: "is_constant" + key: "_class" value { - b: false + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + dim { + size: 136 + } + dim { + size: 256 + } + } + } } } } node { - name: "bidirectional_rnn/fw/fw/while/Enter_2" - op: "Enter" - input: "bidirectional_rnn/fw/fw/TensorArray:1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -6334,119 +6221,100 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "allowed_devices" value { - b: false + list { + } } } attr { - key: "parallel_iterations" + key: "container" value { - i: 32 + s: "" } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Enter_3" - op: "Enter" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + shape { + dim { + size: 136 + } + dim { + size: 256 } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "shared_name" value { - b: false + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/fw/fw/while/Enter_4" - op: "Enter" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 136 } dim { - size: 128 + size: 256 } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: false - } - } - attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } } node { - name: "bidirectional_rnn/fw/fw/while/Enter_5" - op: "Enter" - input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/zeros" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/ReadVariableOp" attr { key: "T" value { @@ -6459,50 +6327,69 @@ node { list { shape { dim { - size: -1 + size: 136 } dim { - size: 128 + size: 256 } } } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Initializer/Const" + op: "Const" attr { - key: "frame_name" + key: "_class" value { - s: "bidirectional_rnn/fw/fw/while/while_context" + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + } } } attr { - key: "is_constant" + key: "_output_shapes" value { - b: false + list { + shape { + dim { + size: 256 + } + } + } } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Merge" - op: "Merge" - input: "bidirectional_rnn/fw/fw/while/Enter" - input: "bidirectional_rnn/fw/fw/while/NextIteration" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "N" + key: "value" value { - i: 2 + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 256 + } + } + float_val: 1.0 + } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + } } } attr { @@ -6511,120 +6398,98 @@ node { list { shape { } - shape { - } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Merge_1" - op: "Merge" - input: "bidirectional_rnn/fw/fw/while/Enter_1" - input: "bidirectional_rnn/fw/fw/while/NextIteration_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "N" + key: "allowed_devices" value { - i: 2 + list { + } } } attr { - key: "T" + key: "container" value { - type: DT_INT32 + s: "" } } attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { - } - shape { - } - } + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Merge_2" - op: "Merge" - input: "bidirectional_rnn/fw/fw/while/Enter_2" - input: "bidirectional_rnn/fw/fw/while/NextIteration_2" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "N" + key: "shape" value { - i: 2 + shape { + dim { + size: 256 + } + } } } attr { - key: "T" + key: "shared_name" value { - type: DT_FLOAT + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" attr { key: "_output_shapes" value { list { shape { } - shape { - } } } } } node { - name: "bidirectional_rnn/fw/fw/while/Merge_3" - op: "Merge" - input: "bidirectional_rnn/fw/fw/while/Enter_3" - input: "bidirectional_rnn/fw/fw/while/NextIteration_3" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Initializer/Const" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 256 } } - shape { - } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Merge_4" - op: "Merge" - input: "bidirectional_rnn/fw/fw/while/Enter_4" - input: "bidirectional_rnn/fw/fw/while/NextIteration_4" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "N" + key: "dtype" value { - i: 2 + type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/ReadVariableOp" attr { key: "T" value { @@ -6637,34 +6502,22 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 256 } } - shape { - } } } } } node { - name: "bidirectional_rnn/fw/fw/while/Merge_5" - op: "Merge" - input: "bidirectional_rnn/fw/fw/while/Enter_5" - input: "bidirectional_rnn/fw/fw/while/NextIteration_5" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/shape" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { @@ -6673,49 +6526,42 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } - shape { - } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Less" - op: "Less" - input: "bidirectional_rnn/fw/fw/while/Merge" - input: "bidirectional_rnn/fw/fw/while/Less/Enter" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } } + tensor_content: "\210\000\000\000\200\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/fw/while/Less/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/fw/strided_slice_1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { @@ -6728,55 +6574,32 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } -} -node { - name: "bidirectional_rnn/fw/fw/while/Less_1" - op: "Less" - input: "bidirectional_rnn/fw/fw/while/Merge_1" - input: "bidirectional_rnn/fw/fw/while/Less_1/Enter" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" + key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { + tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: -0.15075567364692688 } } } } node { - name: "bidirectional_rnn/fw/fw/while/Less_1/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/fw/Minimum" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/max" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { @@ -6789,61 +6612,27 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } -} -node { - name: "bidirectional_rnn/fw/fw/while/LogicalAnd" - op: "LogicalAnd" - input: "bidirectional_rnn/fw/fw/while/Less" - input: "bidirectional_rnn/fw/fw/while/Less_1" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { - } - } + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/LoopCond" - op: "LoopCond" - input: "bidirectional_rnn/fw/fw/while/LogicalAnd" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_output_shapes" + key: "value" value { - list { - shape { + tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: 0.15075567364692688 } } } } node { - name: "bidirectional_rnn/fw/fw/while/Switch" - op: "Switch" - input: "bidirectional_rnn/fw/fw/while/Merge" - input: "bidirectional_rnn/fw/fw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + op: "RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -6854,7 +6643,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Merge" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } @@ -6863,51 +6652,40 @@ node { value { list { shape { - } - shape { + dim { + size: 136 + } + dim { + size: 128 + } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Switch_1" - op: "Switch" - input: "bidirectional_rnn/fw/fw/while/Merge_1" - input: "bidirectional_rnn/fw/fw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "_class" + key: "seed" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/while/Merge_1" - } + i: 17 } } attr { - key: "_output_shapes" + key: "seed2" value { - list { - shape { - } - shape { - } - } + i: 3 } } } node { - name: "bidirectional_rnn/fw/fw/while/Switch_2" - op: "Switch" - input: "bidirectional_rnn/fw/fw/while/Merge_2" - input: "bidirectional_rnn/fw/fw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/sub" + op: "Sub" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -6918,7 +6696,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Merge_2" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } @@ -6928,18 +6706,15 @@ node { list { shape { } - shape { - } } } } } node { - name: "bidirectional_rnn/fw/fw/while/Switch_3" - op: "Switch" - input: "bidirectional_rnn/fw/fw/while/Merge_3" - input: "bidirectional_rnn/fw/fw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + op: "Mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -6950,7 +6725,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Merge_3" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } @@ -6960,15 +6735,7 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 + size: 136 } dim { size: 128 @@ -6979,11 +6746,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/Switch_4" - op: "Switch" - input: "bidirectional_rnn/fw/fw/while/Merge_4" - input: "bidirectional_rnn/fw/fw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform" + op: "Add" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -6994,7 +6760,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Merge_4" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } @@ -7004,15 +6770,7 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 + size: 136 } dim { size: 128 @@ -7023,22 +6781,13 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/Switch_5" - op: "Switch" - input: "bidirectional_rnn/fw/fw/while/Merge_5" - input: "bidirectional_rnn/fw/fw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + op: "VarHandleOp" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Merge_5" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } @@ -7047,78 +6796,53 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Identity" - op: "Identity" - input: "bidirectional_rnn/fw/fw/while/Switch:1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "allowed_devices" value { - type: DT_INT32 + list { + } } } attr { - key: "_output_shapes" + key: "container" value { - list { - shape { - } - } + s: "" } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Identity_1" - op: "Identity" - input: "bidirectional_rnn/fw/fw/while/Switch_1:1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { + shape { + dim { + size: 136 + } + dim { + size: 128 } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Identity_2" - op: "Identity" - input: "bidirectional_rnn/fw/fw/while/Switch_2:1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "shared_name" value { - type: DT_FLOAT + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { @@ -7130,23 +6854,28 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/Identity_3" - op: "Identity" - input: "bidirectional_rnn/fw/fw/while/Switch_3:1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 136 } dim { size: 128 @@ -7155,12 +6884,17 @@ node { } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "bidirectional_rnn/fw/fw/while/Identity_4" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/fw/while/Switch_4:1" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Read/ReadVariableOp" attr { key: "T" value { @@ -7173,7 +6907,7 @@ node { list { shape { dim { - size: -1 + size: 136 } dim { size: 128 @@ -7184,14 +6918,14 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/Identity_5" - op: "Identity" - input: "bidirectional_rnn/fw/fw/while/Switch_5:1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Initializer/zeros" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" + } } } attr { @@ -7199,9 +6933,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -7209,49 +6940,36 @@ node { } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/add/y" - op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_FLOAT tensor_shape { + dim { + size: 128 + } } - int_val: 1 + float_val: 0.0 } } } } node { - name: "bidirectional_rnn/fw/fw/while/add" - op: "Add" - input: "bidirectional_rnn/fw/fw/while/Identity" - input: "bidirectional_rnn/fw/fw/while/add/y" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" + } } } attr { @@ -7263,89 +6981,46 @@ node { } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3" - op: "TensorArrayReadV3" - input: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3/Enter" - input: "bidirectional_rnn/fw/fw/while/Identity_1" - input: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3/Enter_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_output_shapes" + key: "allowed_devices" value { list { - shape { - dim { - size: -1 - } - dim { - size: 8 - } - } } } } attr { - key: "dtype" + key: "container" value { - type: DT_FLOAT + s: "" } } -} -node { - name: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/fw/TensorArray_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_RESOURCE + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: 2 - } + shape { + dim { + size: 128 } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" + key: "shared_name" value { - i: 32 + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" } } } node { - name: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3/Enter_1" - op: "Enter" - input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" attr { key: "_output_shapes" value { @@ -7355,59 +7030,50 @@ node { } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/fw/fw/while/GreaterEqual" - op: "GreaterEqual" - input: "bidirectional_rnn/fw/fw/while/Identity_1" - input: "bidirectional_rnn/fw/fw/while/GreaterEqual/Enter" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Initializer/zeros" attr { - key: "T" + key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 128 } } } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "bidirectional_rnn/fw/fw/while/GreaterEqual/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/fw/CheckSeqLen" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Read/ReadVariableOp" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { @@ -7416,39 +7082,21 @@ node { list { shape { dim { - size: -1 + size: 128 } } } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/shape" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7480,19 +7128,19 @@ node { size: 2 } } - tensor_content: "\210\000\000\000\000\001\000\000" + tensor_content: "\000\001\000\000\000\001\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/min" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7518,19 +7166,19 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: -0.12371791154146194 + float_val: -0.10825317353010178 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/max" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/max" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7556,15 +7204,15 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: 0.12371791154146194 + float_val: 0.10825317353010178 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" op: "RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/shape" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -7575,7 +7223,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7585,7 +7233,7 @@ node { list { shape { dim { - size: 136 + size: 256 } dim { size: 256 @@ -7603,21 +7251,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 4 } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/sub" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/max" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -7628,7 +7276,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7643,10 +7291,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/mul" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/mul" op: "Mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/sub" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -7657,7 +7305,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7667,7 +7315,7 @@ node { list { shape { dim { - size: 136 + size: 256 } dim { size: 256 @@ -7678,10 +7326,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform" op: "Add" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -7692,7 +7340,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7702,7 +7350,7 @@ node { list { shape { dim { - size: 136 + size: 256 } dim { size: 256 @@ -7713,14 +7361,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } @@ -7733,6 +7380,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -7750,7 +7404,7 @@ node { value { shape { dim { - size: 136 + size: 256 } dim { size: 256 @@ -7761,15 +7415,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" attr { key: "_output_shapes" value { @@ -7781,19 +7434,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -7802,25 +7446,16 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Read/ReadVariableOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: 136 + size: 256 } dim { size: 256 @@ -7837,21 +7472,39 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/Initializer/Identity" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 256 + } + } + } + } + } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Initializer/Const" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" } } } @@ -7861,25 +7514,41 @@ node { list { shape { dim { - size: 136 + size: 256 } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { dim { size: 256 } } + float_val: 1.0 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" } } } @@ -7892,6 +7561,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -7908,9 +7584,6 @@ node { key: "shape" value { shape { - dim { - size: 136 - } dim { size: 256 } @@ -7920,15 +7593,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" attr { key: "_output_shapes" value { @@ -7940,19 +7612,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Initializer/Const" attr { key: "dtype" value { @@ -7961,26 +7624,14 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/Read/ReadVariableOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias" attr { key: "_output_shapes" value { list { shape { - dim { - size: 136 - } dim { size: 256 } @@ -7996,14 +7647,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - op: "Const" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/ReadVariableOp" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - } + type: DT_FLOAT } } attr { @@ -8018,303 +7668,15 @@ node { } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 256 - } - } - float_val: 1.0 - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" - value { - s: 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key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 256 - } - } - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/Initializer/Identity" - op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 256 - } - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 256 - } - } - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/shape" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8346,19 +7708,19 @@ node { size: 2 } } - tensor_content: "\010\000\000\000\200\000\000\000" + tensor_content: "\000\001\000\000\200\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/min" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8384,19 +7746,19 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: -0.21004201471805573 + float_val: -0.125 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/max" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/max" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8422,15 +7784,15 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: 0.21004201471805573 + float_val: 0.125 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/RandomUniform" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" op: "RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/shape" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -8441,7 +7803,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8451,7 +7813,7 @@ node { list { shape { dim { - size: 8 + size: 256 } dim { size: 128 @@ -8469,21 +7831,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 5 } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/sub" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/max" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -8494,7 +7856,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8509,10 +7871,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/mul" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/mul" op: "Mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/sub" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -8523,7 +7885,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8533,7 +7895,7 @@ node { list { shape { dim { - size: 8 + size: 256 } dim { size: 128 @@ -8544,10 +7906,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform" op: "Add" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -8558,7 +7920,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8568,7 +7930,7 @@ node { list { shape { dim { - size: 8 + size: 256 } dim { size: 128 @@ -8579,14 +7941,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -8599,6 +7960,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -8616,7 +7984,7 @@ node { value { shape { dim { - size: 8 + size: 256 } dim { size: 128 @@ -8627,15 +7995,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { @@ -8647,19 +8014,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -8668,25 +8026,16 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Read/ReadVariableOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: 8 + size: 256 } dim { size: 128 @@ -8703,21 +8052,39 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Initializer/Identity" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 128 + } + } + } + } + } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } @@ -8727,25 +8094,41 @@ node { list { shape { dim { - size: 8 + size: 128 } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { dim { size: 128 } } + float_val: 0.0 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } @@ -8758,6 +8141,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -8774,9 +8164,6 @@ node { key: "shape" value { shape { - dim { - size: 8 - } dim { size: 128 } @@ -8786,15 +8173,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" attr { key: "_output_shapes" value { @@ -8806,16 +8192,30 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros" attr { - key: "_class" + key: "dtype" + value { + type: DT_FLOAT + } + } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" + attr { + key: "_output_shapes" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + shape { + dim { + size: 128 + } + } } } } @@ -8827,16 +8227,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Read/ReadVariableOp" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - } + type: DT_FLOAT } } attr { @@ -8844,9 +8241,6 @@ node { value { list { shape { - dim { - size: 8 - } dim { size: 128 } @@ -8854,21 +8248,15 @@ node { } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/shape" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -8900,19 +8288,19 @@ node { size: 2 } } - tensor_content: "\200\000\000\000\200\000\000\000" + tensor_content: "\000\001\000\000\000\001\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/min" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/min" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -8938,19 +8326,19 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: -0.1530931144952774 + float_val: -0.10825317353010178 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/max" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/max" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -8976,15 +8364,15 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: 0.1530931144952774 + float_val: 0.10825317353010178 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/RandomUniform" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" op: "RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/shape" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -8995,7 +8383,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -9005,10 +8393,10 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -9023,21 +8411,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 6 } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/sub" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/max" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -9048,7 +8436,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -9063,10 +8451,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/mul" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/mul" op: "Mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/sub" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -9077,7 +8465,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -9087,10 +8475,10 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -9098,10 +8486,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform" op: "Add" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -9112,7 +8500,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -9122,10 +8510,10 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -9133,14 +8521,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -9153,6 +8540,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -9170,10 +8564,10 @@ node { value { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -9181,15 +8575,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" attr { key: "_output_shapes" value { @@ -9201,19 +8594,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -9222,28 +8606,19 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Read/ReadVariableOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -9257,21 +8632,39 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Initializer/Identity" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 256 + } + } + } + } + } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Initializer/Const" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -9281,25 +8674,41 @@ node { list { shape { dim { - size: 128 + size: 256 } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { dim { - size: 128 + size: 256 } } + float_val: 1.0 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -9312,6 +8721,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -9329,10 +8745,7 @@ node { value { shape { dim { - size: 128 - } - dim { - size: 128 + size: 256 } } } @@ -9340,15 +8753,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" attr { key: "_output_shapes" value { @@ -9360,16 +8772,30 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Initializer/Const" attr { - key: "_class" + key: "dtype" + value { + type: DT_FLOAT + } + } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" + attr { + key: "_output_shapes" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" + shape { + dim { + size: 256 + } + } } } } @@ -9381,16 +8807,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Read/ReadVariableOp" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - } + type: DT_FLOAT } } attr { @@ -9399,30 +8822,21 @@ node { list { shape { dim { - size: 128 - } - dim { - size: 128 + size: 256 } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/Initializer/zeros" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -9432,7 +8846,7 @@ node { list { shape { dim { - size: 128 + size: 2 } } } @@ -9441,33 +8855,32 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_FLOAT + dtype: DT_INT32 tensor_shape { dim { - size: 128 + size: 2 } } - float_val: 0.0 + tensor_content: "\000\001\000\000\200\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/min" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -9480,12 +8893,6 @@ node { } } } - attr { - key: "container" - value { - s: "" - } - } attr { key: "dtype" value { @@ -9493,48 +8900,34 @@ node { } } attr { - key: "shape" + key: "value" value { - shape { - dim { - size: 128 + tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: -0.125 } } } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/max" + op: "Const" attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_class" + key: "_output_shapes" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" + shape { + } } } } @@ -9544,55 +8937,33 @@ node { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias" - } - } - } - attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: 128 - } + tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: 0.125 } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1/Initializer/Identity" - op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + op: "RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/shape" attr { key: "T" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -9601,6 +8972,9 @@ node { value { list { shape { + dim { + size: 256 + } dim { size: 128 } @@ -9608,62 +8982,44 @@ node { } } } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { - key: "_class" + key: "dtype" value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - } + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "seed" value { - list { - shape { - } - } + i: 17 } } attr { - key: "container" + key: "seed2" value { - s: "" + i: 7 } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/sub" + op: "Sub" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "shape" + key: "_class" value { - shape { - dim { - size: 128 - } + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_output_shapes" value { @@ -9675,36 +9031,21 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - } - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + op: "Mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/sub" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/bias/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -9713,6 +9054,9 @@ node { value { list { shape { + dim { + size: 256 + } dim { size: 128 } @@ -9720,21 +9064,23 @@ node { } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform" + op: "Add" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/Initializer/zeros" - op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -9744,42 +9090,24 @@ node { list { shape { dim { - size: 128 + size: 256 } - } - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { dim { size: 128 } } - float_val: 0.0 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -9792,6 +9120,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -9808,6 +9143,9 @@ node { key: "shape" value { shape { + dim { + size: 256 + } dim { size: 128 } @@ -9817,15 +9155,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { @@ -9837,19 +9174,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -9858,23 +9186,17 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/Read/ReadVariableOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { list { shape { + dim { + size: 256 + } dim { size: 128 } @@ -9890,21 +9212,39 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/Initializer/Identity" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 128 + } + } + } + } + } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -9920,16 +9260,35 @@ node { } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 128 + } + } + float_val: 0.0 + } + } + } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -9942,6 +9301,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -9967,15 +9333,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" attr { key: "_output_shapes" value { @@ -9987,19 +9352,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/Assign" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Initializer/zeros" attr { key: "dtype" value { @@ -10008,18 +9364,9 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/Read/ReadVariableOp" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" - } - } - } + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" attr { key: "_output_shapes" value { @@ -10040,136 +9387,925 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/concat/axis" - op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Read/ReadVariableOp" attr { - key: "dtype" + key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + dim { + size: 128 + } } - int_val: 1 } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/concat" - op: "ConcatV2" - input: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3" - input: "bidirectional_rnn/fw/fw/while/Identity_3" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while" + op: "While" + input: "bidirectional_rnn/fw/fw/while/loop_counter" + input: "bidirectional_rnn/fw/fw/strided_slice_1" + input: "bidirectional_rnn/fw/fw/time" + input: "bidirectional_rnn/fw/fw/TensorArrayV2" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/zeros" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/zeros" + input: "bidirectional_rnn/fw/fw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/GRUCellZeroState/zeros" + input: "bidirectional_rnn/fw/fw/Minimum" + input: "bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor" + input: "bidirectional_rnn/fw/fw/CheckSeqLen" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Read/Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Read/Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Read/Identity" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/Identity" + input: 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true + type: DT_VARIANT } } attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd" - op: "BiasAdd" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_4" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:4" attr { key: "T" value { @@ -10304,24 +10414,17 @@ node { size: -1 } dim { - size: 256 + size: 128 } } } } } - attr { - key: "data_format" - value { - s: "NHWC" - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/Sigmoid" - op: "Sigmoid" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_5" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:5" attr { key: "T" value { @@ -10337,7 +10440,7 @@ node { size: -1 } dim { - size: 256 + size: 128 } } } @@ -10345,42 +10448,61 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/Const" - op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_6" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:6" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { key: "_output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: 128 + } } } } } +} +node { + name: "bidirectional_rnn/fw/fw/while/Identity_7" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:7" attr { - key: "dtype" + key: "T" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { } - int_val: 2 } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/split/split_dim" - op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_8" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:8" + attr { + key: "T" + value { + type: DT_VARIANT + } + } attr { key: "_output_shapes" value { @@ -10390,30 +10512,34 @@ node { } } } +} +node { + name: "bidirectional_rnn/fw/fw/while/Identity_9" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:9" attr { - key: "dtype" + key: "T" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + dim { + size: -1 + } } - int_val: 1 } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/split" - op: "Split" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/split/split_dim" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/Sigmoid" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_10" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:10" attr { key: "T" value { @@ -10426,105 +10552,45 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 + size: 136 } dim { - size: 128 + size: 256 } } } } } +} +node { + name: "bidirectional_rnn/fw/fw/while/Identity_11" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:11" attr { - key: "num_split" + key: "T" value { - i: 2 + type: DT_FLOAT } } -} -node { - name: 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} - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_1" - op: "MatMul" - input: "bidirectional_rnn/fw/fw/while/TensorArrayReadV3" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_1/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" + key: "T" value { type: DT_FLOAT } @@ -10535,39 +10601,8 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 136 } - } - } - } - } - attr { - key: "transpose_a" - value { - b: false - } - } - attr { - key: "transpose_b" - value { - b: false - } - } -} -node { - name: 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{ - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_1" - op: "BiasAdd" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_1" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_13" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:13" attr { key: "T" value { @@ -10638,9 +10626,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -10648,50 +10633,41 @@ node { } } } +} +node { + name: "bidirectional_rnn/fw/fw/while/Identity_14" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:14" attr { - key: "data_format" + key: "T" value { - s: "NHWC" + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp/Enter" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_15" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:15" attr { key: "T" value { - type: DT_RESOURCE + type: DT_FLOAT } } attr { @@ -10699,35 +10675,18 @@ node { value { list { shape { + dim { + size: 256 + } } } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_2" - op: "MatMul" - input: "bidirectional_rnn/fw/fw/while/Identity_3" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_16" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:16" attr { key: "T" value { @@ -10740,7 +10699,7 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -10749,25 +10708,17 @@ node { } } } +} +node { + name: "bidirectional_rnn/fw/fw/while/Identity_17" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:17" attr { - key: "transpose_a" - value { - b: false - } - } - attr { - key: "transpose_b" + key: "T" value { - b: false + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp/Enter" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -10780,22 +10731,15 @@ node { } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_18" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:18" attr { key: "T" value { - type: DT_RESOURCE + type: DT_FLOAT } } attr { @@ -10803,35 +10747,21 @@ node { value { list { shape { + dim { + size: 256 + } + dim { + size: 256 + } } } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_2" - op: "BiasAdd" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/MatMul_2" - input: 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dim { - size: -1 + size: 256 } dim { size: 128 @@ -10889,11 +10808,9 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/add" - op: "Add" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/BiasAdd_1" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/mul" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_21" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:21" attr { key: "T" value { @@ -10905,9 +10822,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -10917,10 +10831,9 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/Tanh" - op: "Tanh" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/add" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/fw/while/Identity_22" + op: "Identity" + input: "bidirectional_rnn/fw/fw/while:22" attr { key: "T" value { @@ -10944,15 +10857,16 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/sub/x" + name: "bidirectional_rnn/fw/fw/TensorArrayV2Stack/TensorListStack/element_shape" op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 2 + } } } } @@ -10960,38 +10874,37 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_FLOAT + dtype: DT_INT32 tensor_shape { + dim { + size: 2 + } } - float_val: 1.0 + tensor_content: "\377\377\377\377\200\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/sub" - op: "Sub" - input: 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DT_FLOAT } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 136 } dim { size: 256 @@ -14677,17 +14485,16 @@ node { } } attr { - key: "data_format" + key: "dtype" value { - s: "NHWC" + type: DT_FLOAT } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/Sigmoid" - op: "Sigmoid" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Read/ReadVariableOp" attr { key: "T" value { @@ -14700,7 +14507,7 @@ node { list { shape { dim { - size: -1 + size: 136 } dim { size: 256 @@ -14711,15 +14518,24 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/Const" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Initializer/Const" op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + } + } + } attr { key: "_output_shapes" value { list { shape { + dim { + size: 256 + } } } } @@ -14727,26 +14543,35 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_FLOAT tensor_shape { + dim { + size: 256 + } } - int_val: 2 + float_val: 1.0 } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/split/split_dim" - op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + op: "VarHandleOp" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + } + } + } attr { key: "_output_shapes" value { @@ -14756,82 +14581,79 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } + attr { + key: "container" + value { + s: "" + } + } attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "value" + key: "shape" value { - tensor { - dtype: DT_INT32 - tensor_shape { + shape { + dim { + size: 256 } - int_val: 1 } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/split" - op: "Split" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/split/split_dim" - input: 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type: DT_FLOAT } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_1/ReadVariableOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_1/ReadVariableOp/Enter" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 - } - dim { - size: 128 + size: 256 } } } @@ -14845,14 +14667,13 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_1/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Read/ReadVariableOp" attr { key: "T" value { - type: DT_RESOURCE + type: DT_FLOAT } } attr { @@ -14860,39 +14681,23 @@ node { value { list { shape { + dim { + size: 256 + } } } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_1" - op: "MatMul" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_0/dropout_1/mul" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_1/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/shape" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { @@ -14901,42 +14706,49 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } attr { - key: "transpose_a" + key: "dtype" value { - b: false + type: DT_INT32 } } attr { - key: "transpose_b" + key: "value" value { - b: false + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "\210\000\000\000\200\000\000\000" + } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp/Enter" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: 128 - } } } } @@ -14947,16 +14759,27 @@ node { type: DT_FLOAT } } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: -0.15075567364692688 + } + } + } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/candidate/input_projection/bias" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/max" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { @@ -14969,71 +14792,48 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: true + type: DT_FLOAT } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.15075567364692688 + } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_1" - op: "BiasAdd" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_1" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + op: "RandomUniform" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/shape" attr { key: "T" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } - attr { - key: "data_format" - value { - s: "NHWC" - } - } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp/Enter" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 136 } dim { size: 128 @@ -15048,65 +14848,74 @@ node { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "seed" value { - type: DT_RESOURCE + i: 17 } } attr { - key: "_output_shapes" + key: "seed2" value { - list { - shape { - } - } + i: 9 } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/sub" + op: "Sub" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { - key: "frame_name" + key: "T" value { - s: "bidirectional_rnn/fw/fw/while/while_context" + type: DT_FLOAT } } attr { - key: "is_constant" + key: "_class" value { - b: true + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_2" - op: "MatMul" - input: "bidirectional_rnn/fw/fw/while/Identity_4" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + op: "Mul" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/sub" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 136 } dim { size: 128 @@ -15115,30 +14924,34 @@ node { } } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform" + op: "Add" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { - key: "transpose_a" + key: "T" value { - b: false + type: DT_FLOAT } } attr { - key: "transpose_b" + key: "_class" value { - b: false + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp/Enter" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 136 + } dim { size: 128 } @@ -15146,22 +14959,16 @@ node { } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/candidate/hidden_projection/bias" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" + } } } attr { @@ -15174,105 +14981,81 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "allowed_devices" value { - b: true + list { + } } } attr { - key: "parallel_iterations" + key: "container" value { - i: 32 + s: "" } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_2" - op: "BiasAdd" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/MatMul_2" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_2/ReadVariableOp" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + shape { + dim { + size: 136 + } + dim { + size: 128 } } } } attr { - key: "data_format" + key: "shared_name" value { - s: "NHWC" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/mul" - op: "Mul" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/split" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/BiasAdd_2" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" attr { key: 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"bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 136 } dim { size: 128 @@ -15281,12 +15064,17 @@ node { } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/Tanh" - op: "Tanh" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/add" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Read/ReadVariableOp" attr { key: "T" value { @@ -15299,7 +15087,7 @@ node { list { shape { dim { - size: -1 + size: 136 } dim { size: 128 @@ -15310,15 +15098,24 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/sub/x" + name: 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"Identity" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Read/ReadVariableOp" attr { key: "T" value { @@ -15442,9 +15261,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -15454,15 +15270,24 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout/keep_prob" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/shape" op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { + dim { + size: 2 + } } } } @@ -15470,56 +15295,35 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_FLOAT + dtype: DT_INT32 tensor_shape { + dim { + size: 2 + } } - 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"bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout/Shape" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/shape" attr { key: "T" value { type: DT_INT32 } } + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -15614,22 +15431,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 10 } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout/random_uniform/sub" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout/random_uniform/max" - input: 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+ name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" attr { key: "_output_shapes" value { @@ -15889,34 +15612,34 @@ node { } } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform" attr { key: "dtype" value { type: DT_FLOAT } } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - } - float_val: 0.0 - } - } - } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/random_uniform/max" - op: "Const" - input: "^bidirectional_rnn/fw/fw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + name: 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"bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias" + } } } attr { @@ -16051,106 +15737,99 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/add" - op: "Add" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/keep_prob" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/random_uniform" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "allowed_devices" + value { + list { + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + shape { + dim { + size: 256 } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/Floor" - op: "Floor" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/add" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "shared_name" value { - type: DT_FLOAT + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias" } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias" attr { key: "_output_shapes" value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/div" - op: "RealDiv" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/cudnn_compatible_gru_cell/add_1" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/keep_prob" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Initializer/Const" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 256 } } } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/mul" - op: "Mul" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/div" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_1/dropout_1/Floor" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/gates/bias/Read/ReadVariableOp" attr { key: "T" value { @@ -16163,10 +15842,7 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 256 } } } @@ -16174,13 +15850,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/shape" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16212,19 +15888,19 @@ node { size: 2 } } - tensor_content: "\000\001\000\000\000\001\000\000" + tensor_content: "\000\001\000\000\200\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16250,19 +15926,19 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: -0.10825317353010178 + float_val: -0.125 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/max" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/max" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16288,15 +15964,15 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: 0.10825317353010178 + float_val: 0.125 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" op: "RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/shape" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -16307,7 +15983,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16320,7 +15996,7 @@ node { size: 256 } dim { - size: 256 + size: 128 } } } @@ -16335,21 +16011,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 11 } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/sub" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/max" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -16360,7 +16036,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16375,10 +16051,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/mul" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/mul" op: "Mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/sub" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -16389,7 +16065,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16402,7 +16078,7 @@ node { size: 256 } dim { - size: 256 + size: 128 } } } @@ -16410,10 +16086,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform" op: "Add" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -16424,7 +16100,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16437,7 +16113,7 @@ node { size: 256 } dim { - size: 256 + size: 128 } } } @@ -16445,14 +16121,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -16465,6 +16140,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -16485,7 +16167,7 @@ node { size: 256 } dim { - size: 256 + size: 128 } } } @@ -16493,15 +16175,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { @@ -16513,19 +16194,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Assign" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -16534,18 +16206,9 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Read/ReadVariableOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { @@ -16555,7 +16218,7 @@ node { size: 256 } dim { - size: 256 + size: 128 } } } @@ -16569,142 +16232,15 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1/Initializer/Identity" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 256 - } - dim { - size: 256 - } - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 256 - } - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } - } attr { key: "_output_shapes" value { @@ -16714,27 +16250,21 @@ node { size: 256 } dim { - size: 256 + size: 128 } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } @@ -16744,7 +16274,7 @@ node { list { shape { dim { - size: 256 + size: 128 } } } @@ -16763,23 +16293,22 @@ node { dtype: DT_FLOAT tensor_shape { dim { - size: 256 + size: 128 } } - float_val: 1.0 + float_val: 0.0 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } @@ -16792,6 +16321,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -16809,7 +16345,7 @@ node { value { shape { dim { - size: 256 + size: 128 } } } @@ -16817,15 +16353,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" attr { key: "_output_shapes" value { @@ -16837,19 +16372,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Assign" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros" attr { key: "dtype" value { @@ -16858,25 +16384,16 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Read/ReadVariableOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" attr { key: "_output_shapes" value { list { shape { dim { - size: 256 + size: 128 } } } @@ -16890,163 +16407,36 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/Initializer/Identity" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } attr { key: "_output_shapes" value { list { shape { dim { - size: 256 - } - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 256 + size: 128 } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/shape" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17078,19 +16468,19 @@ node { size: 2 } } - tensor_content: "\200\000\000\000\200\000\000\000" + tensor_content: "\000\001\000\000\000\001\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/min" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/min" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17116,19 +16506,19 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: -0.1530931144952774 + float_val: -0.10825317353010178 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/max" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/max" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17154,15 +16544,15 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: 0.1530931144952774 + float_val: 0.10825317353010178 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/RandomUniform" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" op: "RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/shape" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -17173,7 +16563,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17183,10 +16573,10 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -17201,21 +16591,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 12 } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/sub" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/max" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -17226,7 +16616,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17241,10 +16631,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/mul" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/mul" op: "Mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/sub" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -17255,7 +16645,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17265,10 +16655,10 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -17276,10 +16666,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform" op: "Add" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -17290,7 +16680,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17300,10 +16690,10 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -17311,14 +16701,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -17331,6 +16720,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -17348,10 +16744,10 @@ node { value { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -17359,15 +16755,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" attr { key: "_output_shapes" value { @@ -17379,19 +16774,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Assign" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -17400,28 +16786,19 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Read/ReadVariableOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -17435,21 +16812,39 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Initializer/Identity" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 256 + } + } + } + } + } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Initializer/Const" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -17459,25 +16854,41 @@ node { list { shape { dim { - size: 128 + size: 256 } + } + } + } + } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { dim { - size: 128 + size: 256 } } + float_val: 1.0 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -17490,6 +16901,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -17507,10 +16925,7 @@ node { value { shape { dim { - size: 128 - } - dim { - size: 128 + size: 256 } } } @@ -17518,15 +16933,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" attr { key: "_output_shapes" value { @@ -17538,16 +16952,30 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Assign" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Initializer/Const" attr { - key: "_class" + key: "dtype" + value { + type: DT_FLOAT + } + } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias" + attr { + key: "_output_shapes" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" + shape { + dim { + size: 256 + } + } } } } @@ -17559,16 +16987,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Read/Identity" + op: "Identity" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Read/ReadVariableOp" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel/replica_1" - } + type: DT_FLOAT } } attr { @@ -17577,30 +17002,21 @@ node { list { shape { dim { - size: 128 - } - dim { - size: 128 + size: 256 } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/shape" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/shape" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17632,19 +17048,19 @@ node { size: 2 } } - tensor_content: "\200\000\000\000\200\000\000\000" + tensor_content: "\000\001\000\000\200\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/min" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/min" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17670,19 +17086,19 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: -0.1530931144952774 + float_val: -0.125 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/max" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/max" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17708,15 +17124,15 @@ node { dtype: DT_FLOAT tensor_shape { } - float_val: 0.1530931144952774 + float_val: 0.125 } } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/RandomUniform" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" op: "RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/shape" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/shape" attr { key: "T" value { @@ -17727,7 +17143,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17737,7 +17153,7 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { size: 128 @@ -17755,21 +17171,21 @@ node { attr { key: "seed" value { - i: 0 + i: 17 } } attr { key: "seed2" value { - i: 0 + i: 13 } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/sub" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/sub" op: "Sub" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/max" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/max" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -17780,7 +17196,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17795,10 +17211,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/mul" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/mul" op: "Mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/sub" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/sub" attr { key: "T" value { @@ -17809,7 +17225,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17819,7 +17235,7 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { size: 128 @@ -17830,10 +17246,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform" op: "Add" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform/min" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/mul" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform/min" attr { key: "T" value { @@ -17844,7 +17260,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17854,7 +17270,7 @@ node { list { shape { dim { - size: 128 + size: 256 } dim { size: 128 @@ -17865,14 +17281,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -17885,6 +17300,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -17902,7 +17324,7 @@ node { value { shape { dim { - size: 128 + size: 256 } dim { size: 128 @@ -17913,15 +17335,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { @@ -17933,19 +17354,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Assign" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Initializer/random_uniform" attr { key: "dtype" value { @@ -17954,25 +17366,16 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Read/ReadVariableOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Read/ReadVariableOp" op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 256 } dim { size: 128 @@ -17989,149 +17392,22 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Initializer/Identity" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Read/Identity" op: "Identity" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Read/ReadVariableOp" attr { key: "T" value { type: DT_FLOAT } } - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 128 - } - dim { - size: 128 - } - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } - attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" - value { - shape { - dim { - size: 128 - } - dim { - size: 128 - } - } - } - } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Initializer/Identity" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - } - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } -} -node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel/replica_1" - } - } - } attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 256 } dim { size: 128 @@ -18140,21 +17416,15 @@ node { } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias/Initializer/zeros" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Initializer/zeros" op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -18192,14 +17462,13 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -18212,6 +17481,13 @@ node { } } } + attr { + key: "allowed_devices" + value { + list { + } + } + } attr { key: "container" value { @@ -18237,15 +17513,14 @@ node { attr { key: "shared_name" value { - s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias/IsInitialized/VarIsInitializedOp" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/IsInitialized/VarIsInitializedOp" op: "VarIsInitializedOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" attr { key: "_output_shapes" value { @@ -18257,19 +17532,10 @@ node { } } node { - name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias/Assign" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Assign" op: "AssignVariableOp" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" - input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias/Initializer/zeros" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" - } - } - } + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Initializer/zeros" attr { key: "dtype" value { @@ -18278,18 +17544,9 @@ node { } } node { - name: 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"dense/Tensordot/free" + op: "Const" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/NextIteration_4" - op: "NextIteration" - input: "bidirectional_rnn/fw/fw/while/Select_2" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } + tensor { + dtype: DT_INT32 + tensor_shape { dim { - size: 128 + size: 2 } } + tensor_content: "\000\000\000\000\001\000\000\000" } } } } node { - name: "bidirectional_rnn/fw/fw/while/NextIteration_5" - op: "NextIteration" - input: "bidirectional_rnn/fw/fw/while/Select_3" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/Shape" + op: "Shape" + input: "concat" attr { key: "T" value { @@ -21010,27 +20164,22 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 3 } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Exit" - op: "Exit" - input: "bidirectional_rnn/fw/fw/while/Switch" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "out_type" value { type: DT_INT32 } } +} +node { + name: "dense/Tensordot/GatherV2/axis" + op: "Const" attr { key: "_output_shapes" value { @@ -21040,58 +20189,46 @@ node { } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Exit_1" - op: "Exit" - input: "bidirectional_rnn/fw/fw/while/Switch_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { + tensor { + dtype: DT_INT32 + tensor_shape { } + int_val: 0 } } } } node { - name: "bidirectional_rnn/fw/fw/while/Exit_2" - op: "Exit" - input: "bidirectional_rnn/fw/fw/while/Switch_2" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/GatherV2" + op: "GatherV2" + input: "dense/Tensordot/Shape" + input: "dense/Tensordot/free" + input: "dense/Tensordot/GatherV2/axis" attr { - key: "T" + key: "Taxis" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "Tindices" value { - list { - shape { - } - } + type: DT_INT32 } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Exit_3" - op: "Exit" - input: "bidirectional_rnn/fw/fw/while/Switch_3" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "Tparams" value { - type: DT_FLOAT + type: DT_INT32 } } attr { @@ -21100,81 +20237,71 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Exit_4" - op: "Exit" - input: "bidirectional_rnn/fw/fw/while/Switch_4" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "batch_dims" value { - type: DT_FLOAT + i: 0 } } +} +node { + name: "dense/Tensordot/GatherV2_1/axis" + op: "Const" attr { key: "_output_shapes" value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/while/Exit_5" - op: "Exit" - input: "bidirectional_rnn/fw/fw/while/Switch_5" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + tensor { + dtype: DT_INT32 + tensor_shape { } + int_val: 0 } } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayStack/TensorArraySizeV3" - op: "TensorArraySizeV3" - input: "bidirectional_rnn/fw/fw/TensorArray" - input: "bidirectional_rnn/fw/fw/while/Exit_2" + name: "dense/Tensordot/GatherV2_1" + op: "GatherV2" + input: "dense/Tensordot/Shape" + input: "dense/Tensordot/axes" + input: "dense/Tensordot/GatherV2_1/axis" attr { - key: "_class" + key: "Taxis" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/TensorArray" - } + type: DT_INT32 + } + } + attr { + key: "Tindices" + value { + type: DT_INT32 + } + } + attr { + key: "Tparams" + value { + type: DT_INT32 } } attr { @@ -21182,27 +20309,31 @@ node { value { list { shape { + dim { + size: 1 + } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/TensorArrayStack/range/start" - op: "Const" attr { - key: "_class" + key: "batch_dims" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/TensorArray" - } + i: 0 } } +} +node { + name: "dense/Tensordot/Const" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -21219,6 +20350,9 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } int_val: 0 } @@ -21226,21 +20360,49 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayStack/range/delta" - op: "Const" + name: "dense/Tensordot/Prod" + op: "Prod" + input: "dense/Tensordot/GatherV2" + input: "dense/Tensordot/Const" attr { - key: "_class" + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" value { list { - s: "loc:@bidirectional_rnn/fw/fw/TensorArray" + shape { + } } } } + attr { + key: "keep_dims" + value { + b: false + } + } +} +node { + name: "dense/Tensordot/Const_1" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -21257,30 +20419,30 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } - int_val: 1 + int_val: 0 } } } } node { - name: "bidirectional_rnn/fw/fw/TensorArrayStack/range" - op: "Range" - input: "bidirectional_rnn/fw/fw/TensorArrayStack/range/start" - input: "bidirectional_rnn/fw/fw/TensorArrayStack/TensorArraySizeV3" - input: "bidirectional_rnn/fw/fw/TensorArrayStack/range/delta" + name: "dense/Tensordot/Prod_1" + op: "Prod" + input: "dense/Tensordot/GatherV2_1" + input: "dense/Tensordot/Const_1" attr { - key: "Tidx" + key: "T" value { type: DT_INT32 } } attr { - key: "_class" + key: "Tidx" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/TensorArray" - } + type: DT_INT32 } } attr { @@ -21288,42 +20450,25 @@ node { value { list { shape { - dim { - size: -1 - } } } } } -} -node { - name: "bidirectional_rnn/fw/fw/TensorArrayStack/TensorArrayGatherV3" - op: "TensorArrayGatherV3" - input: "bidirectional_rnn/fw/fw/TensorArray" - input: "bidirectional_rnn/fw/fw/TensorArrayStack/range" - input: "bidirectional_rnn/fw/fw/while/Exit_2" attr { - key: "_class" + key: "keep_dims" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/TensorArray" - } + b: false } } +} +node { + name: "dense/Tensordot/concat/axis" + op: "Const" attr { key: "_output_shapes" value { list { shape { - dim { - size: -1 - } - dim { - size: -1 - } - dim { - size: 128 - } } } } @@ -21331,164 +20476,172 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "element_shape" + key: "value" value { - shape { - dim { - size: -1 - } - dim { - size: 128 + tensor { + dtype: DT_INT32 + tensor_shape { } + int_val: 0 } } } } node { - name: "bidirectional_rnn/fw/fw/Const_4" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/concat" + op: "ConcatV2" + input: "dense/Tensordot/free" + input: "dense/Tensordot/axes" + input: "dense/Tensordot/concat/axis" attr { - key: "_output_shapes" + key: "N" value { - list { - shape { - dim { - size: 1 - } - } - } + i: 2 } } attr { - key: "dtype" + key: "T" value { type: DT_INT32 } } attr { - key: "value" + key: "Tidx" value { - tensor { - dtype: DT_INT32 - tensor_shape { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { dim { - size: 1 + size: 3 } } - int_val: 128 } } } } node { - name: "bidirectional_rnn/fw/fw/Rank_1" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/stack" + op: "Pack" + input: "dense/Tensordot/Prod" + input: "dense/Tensordot/Prod_1" attr { - key: "_output_shapes" + key: "N" value { - list { - shape { - } - } + i: 2 } } attr { - key: "dtype" + key: "T" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + dim { + size: 2 + } } - int_val: 3 } } } + attr { + key: "axis" + value { + i: 0 + } + } } node { - name: "bidirectional_rnn/fw/fw/range_1/start" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/transpose" + op: "Transpose" + input: "concat" + input: "dense/Tensordot/concat" attr { - key: "_output_shapes" + key: "T" value { - list { - shape { - } - } + type: DT_FLOAT } } attr { - key: "dtype" + key: "Tperm" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 256 + } } - int_val: 2 } } } } node { - name: "bidirectional_rnn/fw/fw/range_1/delta" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/Reshape" + op: "Reshape" + input: "dense/Tensordot/transpose" + input: "dense/Tensordot/stack" attr { - key: "_output_shapes" + key: "T" value { - list { - shape { - } - } + type: DT_FLOAT } } attr { - key: "dtype" + key: "Tshape" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } } - int_val: 1 } } } } node { - name: "bidirectional_rnn/fw/fw/range_1" - op: "Range" - input: "bidirectional_rnn/fw/fw/range_1/start" - input: "bidirectional_rnn/fw/fw/Rank_1" - input: "bidirectional_rnn/fw/fw/range_1/delta" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot/MatMul" + op: "MatMul" + input: "dense/Tensordot/Reshape" + input: "dense/Tensordot/ReadVariableOp" attr { - key: "Tidx" + key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { @@ -21497,24 +20650,38 @@ node { list { shape { dim { - size: 1 + size: -1 + } + dim { + size: 22 } } } } } + attr { + key: "transpose_a" + value { + b: false + } + } + attr { + key: "transpose_b" + value { + b: false + } + } } node { - name: "bidirectional_rnn/fw/fw/concat_2/values_0" + name: "dense/Tensordot/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { dim { - size: 2 + size: 1 } } } @@ -21533,18 +20700,17 @@ node { dtype: DT_INT32 tensor_shape { dim { - size: 2 + size: 1 } } - tensor_content: "\001\000\000\000\000\000\000\000" + int_val: 22 } } } } node { - name: "bidirectional_rnn/fw/fw/concat_2/axis" + name: "dense/Tensordot/concat_1/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -21573,12 +20739,11 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/concat_2" + name: "dense/Tensordot/concat_1" op: "ConcatV2" - input: "bidirectional_rnn/fw/fw/concat_2/values_0" - input: "bidirectional_rnn/fw/fw/range_1" - input: "bidirectional_rnn/fw/fw/concat_2/axis" - device: "/replica:0/task:0/device:GPU:0" + input: "dense/Tensordot/GatherV2" + input: "dense/Tensordot/Const_2" + input: "dense/Tensordot/concat_1/axis" attr { key: "N" value { @@ -21611,11 +20776,10 @@ node { } } node { - name: "bidirectional_rnn/fw/fw/transpose_1" - op: "Transpose" - input: "bidirectional_rnn/fw/fw/TensorArrayStack/TensorArrayGatherV3" - input: "bidirectional_rnn/fw/fw/concat_2" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/Tensordot" + op: "Reshape" + input: "dense/Tensordot/MatMul" + input: "dense/Tensordot/concat_1" attr { key: "T" value { @@ -21623,7 +20787,7 @@ node { } } attr { - key: "Tperm" + key: "Tshape" value { type: DT_INT32 } @@ -21640,7 +20804,7 @@ node { size: -1 } dim { - size: 128 + size: 22 } } } @@ -21648,21 +20812,37 @@ node { } } node { - name: "bidirectional_rnn/bw/ReverseSequence" - op: "ReverseSequence" - input: "embedding_lookup/Identity" - input: "ExperimentalFunctionBufferingResourceGetNext:1" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/BiasAdd/ReadVariableOp" + op: "ReadVariableOp" + input: "dense/bias" attr { - key: "T" + key: "_output_shapes" + value { + list { + shape { + dim { + size: 22 + } + } + } + } + } + attr { + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "dense/BiasAdd" + op: "BiasAdd" + input: "dense/Tensordot" + input: "dense/BiasAdd/ReadVariableOp" attr { - key: "Tlen" + key: "T" value { - type: DT_INT64 + type: DT_FLOAT } } attr { @@ -21677,34 +20857,59 @@ node { size: -1 } dim { - size: 8 + size: 22 } } } } } attr { - key: "batch_dim" + key: "data_format" value { - i: 0 + s: "NHWC" + } + } +} +node { + name: "dense/Elu" + op: "Elu" + input: "dense/BiasAdd" + attr { + key: "T" + value { + type: DT_FLOAT } } attr { - key: "seq_dim" + key: "_output_shapes" value { - i: 1 + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } + } + } } } } node { - name: "bidirectional_rnn/bw/bw/Rank" + name: "SequenceMask/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -21721,47 +20926,51 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } - int_val: 3 + int_val: 0 } } } } node { - name: "bidirectional_rnn/bw/bw/range/start" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "SequenceMask/Max" + op: "Max" + input: "IteratorGetNext:1" + input: "SequenceMask/Const" attr { - key: "_output_shapes" + key: "T" value { - list { - shape { - } - } + type: DT_INT32 } } attr { - key: "dtype" + key: "Tidx" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { } - int_val: 2 } } } + attr { + key: "keep_dims" + value { + b: false + } + } } node { - name: "bidirectional_rnn/bw/bw/range/delta" + name: "SequenceMask/Const_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -21784,20 +20993,18 @@ node { dtype: DT_INT32 tensor_shape { } - int_val: 1 + int_val: 0 } } } } node { - name: "bidirectional_rnn/bw/bw/range" - op: "Range" - input: "bidirectional_rnn/bw/bw/range/start" - input: "bidirectional_rnn/bw/bw/Rank" - input: "bidirectional_rnn/bw/bw/range/delta" - device: "/replica:0/task:0/device:GPU:0" + name: "SequenceMask/Maximum" + op: "Maximum" + input: "SequenceMask/Const_1" + input: "SequenceMask/Max" attr { - key: "Tidx" + key: "T" value { type: DT_INT32 } @@ -21807,26 +21014,19 @@ node { value { list { shape { - dim { - size: 1 - } } } } } } node { - name: "bidirectional_rnn/bw/bw/concat/values_0" + name: "SequenceMask/Const_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { - dim { - size: 2 - } } } } @@ -21843,19 +21043,15 @@ node { tensor { dtype: DT_INT32 tensor_shape { - dim { - size: 2 - } } - tensor_content: "\001\000\000\000\000\000\000\000" + int_val: 0 } } } } node { - name: "bidirectional_rnn/bw/bw/concat/axis" + name: "SequenceMask/Const_3" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -21878,30 +21074,17 @@ node { dtype: DT_INT32 tensor_shape { } - int_val: 0 + int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/concat" - op: "ConcatV2" - input: "bidirectional_rnn/bw/bw/concat/values_0" - input: "bidirectional_rnn/bw/bw/range" - input: "bidirectional_rnn/bw/bw/concat/axis" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } - attr { - key: "T" - value { - type: DT_INT32 - } - } + name: "SequenceMask/Range" + op: "Range" + input: "SequenceMask/Const_2" + input: "SequenceMask/Maximum" + input: "SequenceMask/Const_3" attr { key: "Tidx" value { @@ -21914,7 +21097,7 @@ node { list { shape { dim { - size: 3 + size: -1 } } } @@ -21922,47 +21105,72 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/transpose" - op: "Transpose" - input: "bidirectional_rnn/bw/ReverseSequence" - input: "bidirectional_rnn/bw/bw/concat" - device: "/replica:0/task:0/device:GPU:0" + name: "SequenceMask/ExpandDims/dim" + op: "Const" attr { - key: "T" + key: "_output_shapes" value { - type: DT_FLOAT + list { + shape { + } + } } } attr { - key: "Tperm" + key: "dtype" value { type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } - dim { - size: -1 - } - dim { - size: 8 - } - } - } + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: -1 + } + } + } +} +node { + name: "SequenceMask/ExpandDims" + op: "ExpandDims" + input: "IteratorGetNext:1" + input: "SequenceMask/ExpandDims/dim" + attr { + key: "T" + value { + type: DT_INT32 + } + } + attr { + key: "Tdim" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: 1 + } + } + } } } } node { - name: "bidirectional_rnn/bw/bw/ToInt32" + name: "SequenceMask/Cast" op: "Cast" - input: "ExperimentalFunctionBufferingResourceGetNext:1" - device: "/replica:0/task:0/device:GPU:0" + input: "SequenceMask/ExpandDims" attr { key: "DstT" value { @@ -21972,7 +21180,7 @@ node { attr { key: "SrcT" value { - type: DT_INT64 + type: DT_INT32 } } attr { @@ -21989,16 +21197,19 @@ node { dim { size: -1 } + dim { + size: 1 + } } } } } } node { - name: "bidirectional_rnn/bw/bw/sequence_length" - op: "Identity" - input: "bidirectional_rnn/bw/bw/ToInt32" - device: "/replica:0/task:0/device:GPU:0" + name: "SequenceMask/Less" + op: "Less" + input: "SequenceMask/Range" + input: "SequenceMask/Cast" attr { key: "T" value { @@ -22013,57 +21224,134 @@ node { dim { size: -1 } + dim { + size: -1 + } } } } } } node { - name: "bidirectional_rnn/bw/bw/Shape" - op: "Shape" - input: "bidirectional_rnn/bw/bw/transpose" - device: "/replica:0/task:0/device:GPU:0" + name: "SequenceMask/Cast_1" + op: "Cast" + input: "SequenceMask/Less" attr { - key: "T" + key: "DstT" value { type: DT_FLOAT } } + attr { + key: "SrcT" + value { + type: DT_BOOL + } + } + attr { + key: "Truncate" + value { + b: false + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: 3 + size: -1 + } + dim { + size: -1 } } } } } +} +node { + name: "softmax_cross_entropy_loss/Cast" + op: "Cast" + input: "IteratorGetNext:2" + attr { + key: "DstT" + value { + type: DT_FLOAT + } + } attr { - key: "out_type" + key: "SrcT" value { - type: DT_INT32 + type: DT_BOOL + } + } + attr { + key: "Truncate" + value { + b: false + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } + } + } } } } node { - name: "bidirectional_rnn/bw/bw/strided_slice/stack" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/labels_stop_gradient" + op: "StopGradient" + input: "softmax_cross_entropy_loss/Cast" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: 1 + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 } } } } } +} +node { + name: "softmax_cross_entropy_loss/xentropy/Rank" + op: "Const" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } attr { key: "dtype" value { @@ -22076,27 +21364,49 @@ node { tensor { dtype: DT_INT32 tensor_shape { + } + int_val: 3 + } + } + } +} +node { + name: "softmax_cross_entropy_loss/xentropy/Shape" + op: "Shape" + input: "dense/Elu" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { dim { - size: 1 + size: 3 } } - int_val: 1 } } } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } } node { - name: "bidirectional_rnn/bw/bw/strided_slice/stack_1" + name: "softmax_cross_entropy_loss/xentropy/Rank_1" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } @@ -22113,27 +21423,49 @@ node { tensor { dtype: DT_INT32 tensor_shape { + } + int_val: 3 + } + } + } +} +node { + name: "softmax_cross_entropy_loss/xentropy/Shape_1" + op: "Shape" + input: "dense/Elu" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { dim { - size: 1 + size: 3 } } - int_val: 2 } } } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } } node { - name: "bidirectional_rnn/bw/bw/strided_slice/stack_2" + name: "softmax_cross_entropy_loss/xentropy/Sub/y" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } @@ -22150,9 +21482,6 @@ node { tensor { dtype: DT_INT32 tensor_shape { - dim { - size: 1 - } } int_val: 1 } @@ -22160,19 +21489,10 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/strided_slice" - op: "StridedSlice" - input: "bidirectional_rnn/bw/bw/Shape" - input: "bidirectional_rnn/bw/bw/strided_slice/stack" - input: 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"bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" + name: "softmax_cross_entropy_loss/xentropy/Slice/size" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -22244,26 +21571,29 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } - int_val: 0 + int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims" - op: "ExpandDims" - input: "bidirectional_rnn/bw/bw/strided_slice" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Slice" + op: "Slice" + input: "softmax_cross_entropy_loss/xentropy/Shape_1" + input: "softmax_cross_entropy_loss/xentropy/Slice/begin" + input: "softmax_cross_entropy_loss/xentropy/Slice/size" attr { - key: "T" + key: "Index" value { type: DT_INT32 } } attr { - key: "Tdim" + key: "T" value { type: DT_INT32 } @@ -22282,9 +21612,8 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/Const" + name: "softmax_cross_entropy_loss/xentropy/concat/values_0" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22313,15 +21642,14 @@ node { size: 1 } } - int_val: 128 + int_val: -1 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat/axis" + name: "softmax_cross_entropy_loss/xentropy/concat/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22350,12 +21678,11 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat" + name: "softmax_cross_entropy_loss/xentropy/concat" op: "ConcatV2" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/Const" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + input: "softmax_cross_entropy_loss/xentropy/concat/values_0" + input: "softmax_cross_entropy_loss/xentropy/Slice" + input: "softmax_cross_entropy_loss/xentropy/concat/axis" attr { key: "N" value { @@ -22388,9 +21715,41 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros/Const" + name: "softmax_cross_entropy_loss/xentropy/Reshape" + op: "Reshape" + input: "dense/Elu" + input: "softmax_cross_entropy_loss/xentropy/concat" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + } + } + } + } +} +node { + name: "softmax_cross_entropy_loss/xentropy/Rank_2" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22403,27 +21762,25 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_FLOAT + dtype: DT_INT32 tensor_shape { } - float_val: 0.0 + int_val: 3 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros" - op: "Fill" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/concat" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Shape_2" + op: "Shape" + input: "softmax_cross_entropy_loss/labels_stop_gradient" attr { key: "T" value { @@ -22436,26 +21793,22 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 3 } } } } } attr { - key: "index_type" + key: "out_type" value { type: DT_INT32 } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" + name: "softmax_cross_entropy_loss/xentropy/Sub_1/y" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22478,88 +21831,78 @@ node { dtype: DT_INT32 tensor_shape { } - int_val: 0 + int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims_1" - op: "ExpandDims" - input: "bidirectional_rnn/bw/bw/strided_slice" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Sub_1" + op: "Sub" + input: "softmax_cross_entropy_loss/xentropy/Rank_2" + input: "softmax_cross_entropy_loss/xentropy/Sub_1/y" attr { key: "T" value { type: DT_INT32 } } - attr { - key: "Tdim" - value { - type: DT_INT32 - } - } attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/Const_1" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Slice_1/begin" + op: "Pack" + input: "softmax_cross_entropy_loss/xentropy/Sub_1" attr { - key: "_output_shapes" + key: "N" value { - list { - shape { - dim { - size: 1 - } - } - } + i: 1 } } attr { - key: "dtype" + key: "T" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { dim { size: 1 } } - int_val: 128 } } } + attr { + key: "axis" + value { + i: 0 + } + } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" + name: "softmax_cross_entropy_loss/xentropy/Slice_1/size" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -22576,26 +21919,29 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } - int_val: 0 + int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims" - op: "ExpandDims" - input: "bidirectional_rnn/bw/bw/strided_slice" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Slice_1" + op: "Slice" + input: "softmax_cross_entropy_loss/xentropy/Shape_2" + input: "softmax_cross_entropy_loss/xentropy/Slice_1/begin" + input: "softmax_cross_entropy_loss/xentropy/Slice_1/size" attr { - key: "T" + key: "Index" value { type: DT_INT32 } } attr { - key: "Tdim" + key: "T" value { type: DT_INT32 } @@ -22614,9 +21960,8 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/Const" + name: "softmax_cross_entropy_loss/xentropy/concat_1/values_0" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22645,15 +21990,14 @@ node { size: 1 } } - int_val: 128 + int_val: -1 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat/axis" + name: "softmax_cross_entropy_loss/xentropy/concat_1/axis" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22682,12 +22026,11 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat" + name: "softmax_cross_entropy_loss/xentropy/concat_1" op: "ConcatV2" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/Const" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + input: "softmax_cross_entropy_loss/xentropy/concat_1/values_0" + input: "softmax_cross_entropy_loss/xentropy/Slice_1" + input: "softmax_cross_entropy_loss/xentropy/concat_1/axis" attr { key: "N" value { @@ -22720,42 +22063,43 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros/Const" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Reshape_1" + op: "Reshape" + input: "softmax_cross_entropy_loss/labels_stop_gradient" + input: "softmax_cross_entropy_loss/xentropy/concat_1" attr { - key: "_output_shapes" + key: "T" value { - list { - shape { - } - } + type: DT_FLOAT } } attr { - key: "dtype" + key: "Tshape" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_FLOAT - tensor_shape { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } } - float_val: 0.0 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros" - op: "Fill" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/concat" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy" + op: "SoftmaxCrossEntropyWithLogits" + input: "softmax_cross_entropy_loss/xentropy/Reshape" + input: "softmax_cross_entropy_loss/xentropy/Reshape_1" attr { key: "T" value { @@ -22770,24 +22114,22 @@ node { dim { size: -1 } + } + shape { dim { - size: 128 + size: -1 + } + dim { + size: -1 } } } } } - attr { - key: "index_type" - value { - type: DT_INT32 - } - } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" + name: "softmax_cross_entropy_loss/xentropy/Sub_2/y" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -22810,46 +22152,35 @@ node { dtype: DT_INT32 tensor_shape { } - int_val: 0 + int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims_1" - op: "ExpandDims" - input: "bidirectional_rnn/bw/bw/strided_slice" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/ExpandDims_1/dim" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Sub_2" + op: "Sub" + input: "softmax_cross_entropy_loss/xentropy/Rank" + input: "softmax_cross_entropy_loss/xentropy/Sub_2/y" attr { key: "T" value { type: DT_INT32 } } - attr { - key: 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value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + dim { + size: 1 + } } - int_val: 0 } } } + attr { + key: "axis" + value { + i: 0 + } + } } node { - name: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims" - op: "ExpandDims" - input: "bidirectional_rnn/bw/bw/strided_slice" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/ExpandDims/dim" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/xentropy/Slice_2" + op: "Slice" + input: "softmax_cross_entropy_loss/xentropy/Shape" + input: "softmax_cross_entropy_loss/xentropy/Slice_2/begin" + input: "softmax_cross_entropy_loss/xentropy/Slice_2/size" attr { - key: "T" + key: "Index" value { type: DT_INT32 } } attr { - key: "Tdim" + key: "T" value { type: DT_INT32 } @@ -22938,7 +22273,7 @@ node { list { shape { dim { - size: 1 + size: 2 } } } @@ -22946,46 +22281,70 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func { + name: "softmax_cross_entropy_loss_assert_broadcastable_is_valid_shape_true_1146" + } } } } node { - name: "bidirectional_rnn/bw/bw/Equal" - op: "Equal" - input: "bidirectional_rnn/bw/bw/Shape_1" - input: "bidirectional_rnn/bw/bw/stack" - device: "/replica:0/task:0/device:GPU:0" + name: "softmax_cross_entropy_loss/assert_broadcastable/is_valid_shape/Identity" + op: "Identity" + input: "softmax_cross_entropy_loss/assert_broadcastable/is_valid_shape" attr { key: "T" value { - type: DT_INT32 + type: DT_BOOL } } attr { @@ -23298,26 +22586,19 @@ node { value { list { shape { - dim { - size: 1 - } } } } } } node { - name: "bidirectional_rnn/bw/bw/Const" + name: "softmax_cross_entropy_loss/assert_broadcastable/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } @@ -23325,36 +22606,24 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_STRING } } attr { key: "value" value { tensor { 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attr { - key: "value" + key: "T" value { - tensor { - dtype: DT_INT32 - tensor_shape { - dim { - size: 1 - } - } - int_val: 0 - } + type: DT_BOOL } } -} -node { - name: "bidirectional_rnn/bw/bw/strided_slice_1/stack_1" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { - dim { - size: 1 - } } } } } +} +node { + name: "softmax_cross_entropy_loss/Mul" + op: "Mul" + input: "softmax_cross_entropy_loss/xentropy/Reshape_2" + input: "SequenceMask/Cast_1" + input: "^softmax_cross_entropy_loss/assert_broadcastable/AssertGuard/Identity" attr { - key: "dtype" + key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { dim { - size: 1 + size: -1 + } + dim { + size: -1 } } - int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/strided_slice_1/stack_2" + name: "softmax_cross_entropy_loss/Const" op: "Const" - device: 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DT_BOOL } } attr { - key: "tensor_array_name" + key: "_output_shapes" value { - s: "bidirectional_rnn/bw/bw/dynamic_rnn/input_0" + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/Shape" + name: "softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Shape" op: "Shape" - input: "bidirectional_rnn/bw/bw/transpose" - device: "/replica:0/task:0/device:GPU:0" + input: "softmax_cross_entropy_loss/xentropy/Reshape_2" + input: "^softmax_cross_entropy_loss/assert_broadcastable/AssertGuard/Identity" + input: "^softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Identity" attr { key: "T" value { @@ -24496,7 +23770,7 @@ node { list { shape { dim { - size: 3 + size: 2 } } } @@ -24510,17 +23784,15 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/strided_slice/stack" + name: "softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Const" op: "Const" - device: 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} + } attr { key: "_output_shapes" value { list { shape { dim { - size: 1 + size: -1 + } + dim { + size: -1 } } } } } attr { - key: "dtype" + key: "index_type" value { type: DT_INT32 } } +} +node { + name: "softmax_cross_entropy_loss/num_present/broadcast_weights" + op: "Mul" + input: "softmax_cross_entropy_loss/num_present/Select" + input: "softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like" attr { - key: "value" + key: "T" value { - tensor { - dtype: DT_INT32 - tensor_shape { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { + shape { dim { - size: 1 + size: -1 + } + dim { + size: -1 } } - int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/strided_slice/stack_2" + name: "softmax_cross_entropy_loss/num_present/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" + input: "^softmax_cross_entropy_loss/assert_broadcastable/AssertGuard/Identity" attr { key: "_output_shapes" value { list { shape { dim { - size: 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value { - i: 0 - } - } - attr { - key: "ellipsis_mask" + key: "keep_dims" value { - i: 0 + b: false } } +} +node { + name: "softmax_cross_entropy_loss/Rank" + op: "Const" + input: "^softmax_cross_entropy_loss/assert_broadcastable/AssertGuard/Identity" attr { - key: "end_mask" + key: "_output_shapes" value { - i: 0 + list { + shape { + } + } } } attr { - key: "new_axis_mask" + key: "dtype" value { - i: 0 + type: DT_INT32 } } attr { - key: "shrink_axis_mask" + key: "value" value { - i: 1 + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: 0 + } } } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/range/start" + name: "softmax_cross_entropy_loss/range/start" op: "Const" - device: "/replica:0/task:0/device:GPU:0" + input: "^softmax_cross_entropy_loss/assert_broadcastable/AssertGuard/Identity" attr { key: "_output_shapes" value { @@ -24712,9 +24008,9 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/range/delta" + name: "softmax_cross_entropy_loss/range/delta" op: "Const" - device: "/replica:0/task:0/device:GPU:0" + input: "^softmax_cross_entropy_loss/assert_broadcastable/AssertGuard/Identity" attr { key: "_output_shapes" value { @@ -24743,12 +24039,11 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/range" + name: "softmax_cross_entropy_loss/range" op: "Range" - input: "bidirectional_rnn/bw/bw/TensorArrayUnstack/range/start" - input: "bidirectional_rnn/bw/bw/TensorArrayUnstack/strided_slice" - input: "bidirectional_rnn/bw/bw/TensorArrayUnstack/range/delta" - device: "/replica:0/task:0/device:GPU:0" + input: "softmax_cross_entropy_loss/range/start" + input: "softmax_cross_entropy_loss/Rank" + input: "softmax_cross_entropy_loss/range/delta" attr { key: "Tidx" value { @@ -24761,7 +24056,6 @@ node { list { shape { dim { - size: -1 } } } @@ -24769,13 +24063,10 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3" - op: 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node { } } node { - name: "bidirectional_rnn/bw/bw/Maximum/x" + name: "ArgMax/dimension" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -24826,41 +24141,24 @@ node { dtype: DT_INT32 tensor_shape { } - int_val: 1 + int_val: 2 } } } } node { - name: "bidirectional_rnn/bw/bw/Maximum" - op: "Maximum" - input: "bidirectional_rnn/bw/bw/Maximum/x" - input: "bidirectional_rnn/bw/bw/Max" - device: "/replica:0/task:0/device:GPU:0" + name: "ArgMax" + op: "ArgMax" + input: "dense/Elu" + input: "ArgMax/dimension" attr { key: "T" value { - type: DT_INT32 - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } - } + type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/bw/bw/Minimum" - op: "Minimum" - input: "bidirectional_rnn/bw/bw/strided_slice_1" - input: "bidirectional_rnn/bw/bw/Maximum" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "Tidx" value { type: DT_INT32 } @@ -24870,20 +24168,33 @@ node { value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } } } } } + attr { + key: "output_type" + value { + type: DT_INT64 + } + } } node { - name: "bidirectional_rnn/bw/bw/while/iteration_counter" + name: "gradients/Shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } @@ -24900,23 +24211,16 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + } } - int_val: 0 } } } } node { - name: "bidirectional_rnn/bw/bw/while/Enter" - op: "Enter" - input: "bidirectional_rnn/bw/bw/while/iteration_counter" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_INT32 - } - } + name: "gradients/grad_ys_0" + op: "Const" attr { key: "_output_shapes" value { @@ -24927,33 +24231,32 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: false + type: DT_FLOAT } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 1.0 + } } } } node { - name: "bidirectional_rnn/bw/bw/while/Enter_1" - op: "Enter" - input: "bidirectional_rnn/bw/bw/time" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/Fill" + op: "Fill" + input: "gradients/Shape" + input: "gradients/grad_ys_0" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { @@ -24966,117 +24269,87 @@ node { } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: false - } - } - attr { - key: "parallel_iterations" + key: "index_type" value { - i: 32 + type: DT_INT32 } } } node { - name: "bidirectional_rnn/bw/bw/while/Enter_2" - op: "Enter" - input: "bidirectional_rnn/bw/bw/TensorArray:1" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } + name: "gradients/softmax_cross_entropy_loss/value_grad/Shape" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: false + type: DT_INT32 } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } } } } node { - name: "bidirectional_rnn/bw/bw/while/Enter_3" - op: "Enter" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState/CudnnCompatibleGRUCellZeroState/zeros" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } + name: "gradients/softmax_cross_entropy_loss/value_grad/Shape_1" + op: "Const" attr { key: "_output_shapes" value { list { shape { dim { - size: -1 - } - dim { - size: 128 } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: false + type: DT_INT32 } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } + } + } } } } node { - name: "bidirectional_rnn/bw/bw/while/Enter_4" - op: "Enter" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_1/CudnnCompatibleGRUCellZeroState/zeros" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "gradients/softmax_cross_entropy_loss/value_grad/Shape" + input: "gradients/softmax_cross_entropy_loss/value_grad/Shape_1" attr { key: "T" value { - type: DT_FLOAT + type: DT_INT32 } } attr { @@ -25087,37 +24360,21 @@ node { dim { size: -1 } + } + shape { dim { - size: 128 + size: -1 } } } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: false - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/bw/bw/while/Enter_5" - op: "Enter" - input: "bidirectional_rnn/bw/bw/MultiRNNCellZeroState/DropoutWrapperZeroState_2/CudnnCompatibleGRUCellZeroState/zeros" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/div_no_nan" + op: "DivNoNan" + input: "gradients/Fill" + input: "softmax_cross_entropy_loss/num_present" attr { key: "T" value { @@ -25129,49 +24386,24 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } - attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: false - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "bidirectional_rnn/bw/bw/while/Merge" - op: "Merge" - input: "bidirectional_rnn/bw/bw/while/Enter" - input: "bidirectional_rnn/bw/bw/while/NextIteration" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/Sum" + op: "Sum" + input: "gradients/softmax_cross_entropy_loss/value_grad/div_no_nan" + input: "gradients/softmax_cross_entropy_loss/value_grad/BroadcastGradientArgs" attr { - key: "N" + key: "T" value { - i: 2 + type: DT_FLOAT } } attr { - key: "T" + key: "Tidx" value { type: DT_INT32 } @@ -25182,26 +24414,29 @@ node { list { shape { } - shape { - } } } } + attr { + key: "keep_dims" + value { + b: false + } + } } node { - name: "bidirectional_rnn/bw/bw/while/Merge_1" - op: "Merge" - input: "bidirectional_rnn/bw/bw/while/Enter_1" - input: "bidirectional_rnn/bw/bw/while/NextIteration_1" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/Reshape" + op: "Reshape" + input: "gradients/softmax_cross_entropy_loss/value_grad/Sum" + input: "gradients/softmax_cross_entropy_loss/value_grad/Shape" attr { - key: "N" + key: "T" value { - i: 2 + type: DT_FLOAT } } attr { - key: "T" + key: "Tshape" value { type: DT_INT32 } @@ -25212,24 +24447,14 @@ node { list { shape { } - shape { - } } } } } node { - name: "bidirectional_rnn/bw/bw/while/Merge_2" - op: "Merge" - input: "bidirectional_rnn/bw/bw/while/Enter_2" - input: "bidirectional_rnn/bw/bw/while/NextIteration_2" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } + name: "gradients/softmax_cross_entropy_loss/value_grad/Neg" + op: "Neg" + input: "softmax_cross_entropy_loss/Sum_1" attr { key: "T" value { @@ -25242,24 +24467,15 @@ node { list { shape { } - shape { - } } } } } node { - name: "bidirectional_rnn/bw/bw/while/Merge_3" - op: "Merge" - input: "bidirectional_rnn/bw/bw/while/Enter_3" - input: "bidirectional_rnn/bw/bw/while/NextIteration_3" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } + name: "gradients/softmax_cross_entropy_loss/value_grad/div_no_nan_1" + op: "DivNoNan" + input: "gradients/softmax_cross_entropy_loss/value_grad/Neg" + input: "softmax_cross_entropy_loss/num_present" attr { key: "T" value { @@ -25270,14 +24486,6 @@ node { key: "_output_shapes" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } shape { } } @@ -25285,17 +24493,10 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/Merge_4" - op: "Merge" - input: "bidirectional_rnn/bw/bw/while/Enter_4" - input: "bidirectional_rnn/bw/bw/while/NextIteration_4" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } + name: "gradients/softmax_cross_entropy_loss/value_grad/div_no_nan_2" + op: "DivNoNan" + input: "gradients/softmax_cross_entropy_loss/value_grad/div_no_nan_1" + input: "softmax_cross_entropy_loss/num_present" attr { key: "T" value { @@ -25306,14 +24507,6 @@ node { key: "_output_shapes" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } shape { } } @@ -25321,17 +24514,10 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/Merge_5" - op: "Merge" - input: "bidirectional_rnn/bw/bw/while/Enter_5" - input: "bidirectional_rnn/bw/bw/while/NextIteration_5" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "N" - value { - i: 2 - } - } + name: "gradients/softmax_cross_entropy_loss/value_grad/mul" + op: "Mul" + input: "gradients/Fill" + input: "gradients/softmax_cross_entropy_loss/value_grad/div_no_nan_2" attr { key: "T" value { @@ -25342,14 +24528,6 @@ node { key: "_output_shapes" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } shape { } } @@ -25357,13 +24535,18 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/Less" - op: "Less" - input: "bidirectional_rnn/bw/bw/while/Merge" - input: "bidirectional_rnn/bw/bw/while/Less/Enter" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/Sum_1" + op: "Sum" + input: "gradients/softmax_cross_entropy_loss/value_grad/mul" + input: "gradients/softmax_cross_entropy_loss/value_grad/BroadcastGradientArgs:1" attr { key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" value { type: DT_INT32 } @@ -25377,14 +24560,26 @@ node { } } } + attr { + key: "keep_dims" + value { + b: false + } + } } node { - name: "bidirectional_rnn/bw/bw/while/Less/Enter" - op: "Enter" - input: "bidirectional_rnn/bw/bw/strided_slice_1" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/Reshape_1" + op: "Reshape" + input: "gradients/softmax_cross_entropy_loss/value_grad/Sum_1" + input: "gradients/softmax_cross_entropy_loss/value_grad/Shape_1" attr { key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tshape" value { type: DT_INT32 } @@ -25398,35 +24593,59 @@ node { } } } +} +node { + name: "gradients/softmax_cross_entropy_loss/value_grad/tuple/group_deps" + op: "NoOp" + input: "^gradients/softmax_cross_entropy_loss/value_grad/Reshape" + input: "^gradients/softmax_cross_entropy_loss/value_grad/Reshape_1" +} +node { + name: "gradients/softmax_cross_entropy_loss/value_grad/tuple/control_dependency" + op: "Identity" + input: "gradients/softmax_cross_entropy_loss/value_grad/Reshape" + input: "^gradients/softmax_cross_entropy_loss/value_grad/tuple/group_deps" attr { - key: "frame_name" + key: "T" value { - s: "bidirectional_rnn/bw/bw/while/while_context" + type: DT_FLOAT } } attr { - key: "is_constant" + key: "_class" value { - b: true + list { + s: "loc:@gradients/softmax_cross_entropy_loss/value_grad/Reshape" + } } } attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/bw/bw/while/Less_1" - op: "Less" - input: "bidirectional_rnn/bw/bw/while/Merge_1" - input: "bidirectional_rnn/bw/bw/while/Less_1/Enter" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/value_grad/tuple/control_dependency_1" + op: "Identity" + input: "gradients/softmax_cross_entropy_loss/value_grad/Reshape_1" + input: "^gradients/softmax_cross_entropy_loss/value_grad/tuple/group_deps" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/softmax_cross_entropy_loss/value_grad/Reshape_1" + } } } attr { @@ -25440,93 +24659,86 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/Less_1/Enter" - op: "Enter" - input: "bidirectional_rnn/bw/bw/Minimum" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_INT32 - } - } + name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Reshape/shape" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: true + type: DT_FLOAT } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + } + } + } } } } node { - name: "bidirectional_rnn/bw/bw/while/LogicalAnd" - op: "LogicalAnd" - input: "bidirectional_rnn/bw/bw/while/Less" - input: "bidirectional_rnn/bw/bw/while/Less_1" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Reshape/shape_1" + op: "Const" attr { key: "_output_shapes" value { list { shape { + dim { + } } } } } -} -node { - name: "bidirectional_rnn/bw/bw/while/LoopCond" - op: "LoopCond" - input: "bidirectional_rnn/bw/bw/while/LogicalAnd" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } } } } } } node { - name: "bidirectional_rnn/bw/bw/while/Switch" - op: "Switch" - input: "bidirectional_rnn/bw/bw/while/Merge" - input: "bidirectional_rnn/bw/bw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Reshape" + op: "Reshape" + input: "gradients/softmax_cross_entropy_loss/value_grad/tuple/control_dependency" + input: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Reshape/shape_1" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "_class" + key: "Tshape" value { - list { - s: "loc:@bidirectional_rnn/bw/bw/while/Merge" - } + type: DT_INT32 } } attr { @@ -25535,50 +24747,48 @@ node { list { shape { } - shape { - } } } } } node { - name: "bidirectional_rnn/bw/bw/while/Switch_1" - op: "Switch" - input: "bidirectional_rnn/bw/bw/while/Merge_1" - input: "bidirectional_rnn/bw/bw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Const" + op: "Const" attr { - key: "T" + key: "_output_shapes" value { - type: DT_INT32 + list { + shape { + dim { + } + } + } } } attr { - key: "_class" + key: "dtype" value { - list { - s: "loc:@bidirectional_rnn/bw/bw/while/Merge_1" - } + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - } - shape { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + } } } } } } node { - name: "bidirectional_rnn/bw/bw/while/Switch_2" - op: "Switch" - input: "bidirectional_rnn/bw/bw/while/Merge_2" - input: "bidirectional_rnn/bw/bw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Tile" + op: "Tile" + input: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Reshape" + input: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Const" attr { key: "T" value { @@ -25586,11 +24796,9 @@ node { } } attr { - key: "_class" + key: "Tmultiples" value { - list { - s: "loc:@bidirectional_rnn/bw/bw/while/Merge_2" - } + type: DT_INT32 } } attr { @@ -25599,62 +24807,51 @@ node { list { shape { } 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"bidirectional_rnn/bw/bw/while/LoopCond" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Sum_grad/Reshape" + op: "Reshape" + input: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Tile" + input: "gradients/softmax_cross_entropy_loss/Sum_grad/Reshape/shape" attr { key: "T" value { @@ -25662,11 +24859,9 @@ node { } } attr { - key: "_class" + key: "Tshape" value { - list { - s: "loc:@bidirectional_rnn/bw/bw/while/Merge_4" - } + type: DT_INT32 } } attr { @@ -25675,30 +24870,50 @@ node { list { shape { dim { - size: -1 + size: 1 } dim { - size: 128 + size: 1 } } + } + } + } +} +node { + name: "gradients/softmax_cross_entropy_loss/Sum_grad/Shape" + op: "Shape" + input: "softmax_cross_entropy_loss/Mul" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "_output_shapes" + value { + list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } } node { - 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"softmax_cross_entropy_loss/xentropy/Reshape_2" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { @@ -25753,20 +24957,28 @@ node { value { list { shape { + dim { + size: 2 + } } } } } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } } node { - name: "bidirectional_rnn/bw/bw/while/Identity_1" - op: "Identity" - input: "bidirectional_rnn/bw/bw/while/Switch_1:1" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Mul_grad/Shape_1" + op: "Shape" + input: "SequenceMask/Cast_1" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { @@ -25774,20 +24986,29 @@ node { value { list { shape { + dim { + size: 2 + } } } } } + attr { + key: "out_type" + value { + type: DT_INT32 + } + } } node { - name: "bidirectional_rnn/bw/bw/while/Identity_2" - op: "Identity" - input: "bidirectional_rnn/bw/bw/while/Switch_2:1" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Mul_grad/BroadcastGradientArgs" + op: "BroadcastGradientArgs" + input: "gradients/softmax_cross_entropy_loss/Mul_grad/Shape" + input: "gradients/softmax_cross_entropy_loss/Mul_grad/Shape_1" attr { key: "T" value { - type: DT_FLOAT + type: DT_INT32 } } attr { @@ -25795,16 +25016,24 @@ node { value { list { shape { + dim { + size: -1 + } + } + shape { + dim { + size: -1 + } } } } } } node { - name: "bidirectional_rnn/bw/bw/while/Identity_3" - op: "Identity" - input: "bidirectional_rnn/bw/bw/while/Switch_3:1" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Mul_grad/Mul" + op: "Mul" + input: "gradients/softmax_cross_entropy_loss/Sum_grad/Tile" + input: "SequenceMask/Cast_1" attr { key: "T" value { @@ -25820,7 +25049,7 @@ node { size: -1 } dim { - size: 128 + size: -1 } } } @@ -25828,43 +25057,56 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/Identity_4" - op: "Identity" - input: 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} + attr { + key: "Tshape" + value { + type: DT_INT32 + } + } attr { key: "_output_shapes" value { @@ -25874,7 +25116,7 @@ node { size: -1 } dim { - size: 128 + size: -1 } } } @@ -25882,66 +25124,83 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/add/y" - op: "Const" - input: "^bidirectional_rnn/bw/bw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Mul_grad/Mul_1" + op: "Mul" + input: "softmax_cross_entropy_loss/xentropy/Reshape_2" + input: "gradients/softmax_cross_entropy_loss/Sum_grad/Tile" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { key: "_output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } } } } } +} +node { + name: "gradients/softmax_cross_entropy_loss/Mul_grad/Sum_1" + op: "Sum" + input: "gradients/softmax_cross_entropy_loss/Mul_grad/Mul_1" + input: "gradients/softmax_cross_entropy_loss/Mul_grad/BroadcastGradientArgs:1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { - key: "dtype" + key: "Tidx" value { type: DT_INT32 } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { + unknown_rank: true } - int_val: 1 } } } + attr { + key: "keep_dims" + value { + b: false + } + } } node { - name: "bidirectional_rnn/bw/bw/while/add" - op: "Add" - input: "bidirectional_rnn/bw/bw/while/Identity" - input: "bidirectional_rnn/bw/bw/while/add/y" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/Mul_grad/Reshape_1" + op: "Reshape" + input: "gradients/softmax_cross_entropy_loss/Mul_grad/Sum_1" + input: "gradients/softmax_cross_entropy_loss/Mul_grad/Shape_1" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "Tshape" value { - list { - shape { - } - } + type: DT_INT32 } } -} -node { - name: "bidirectional_rnn/bw/bw/while/TensorArrayReadV3" - op: "TensorArrayReadV3" - input: 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+ type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/bw/bw/while/GreaterEqual" - op: "GreaterEqual" - input: "bidirectional_rnn/bw/bw/while/Identity_1" - input: "bidirectional_rnn/bw/bw/while/GreaterEqual/Enter" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "Tshape" value { type: DT_INT32 } @@ -26071,14 +25353,13 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/GreaterEqual/Enter" - op: "Enter" - input: "bidirectional_rnn/bw/bw/CheckSeqLen" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/zeros_like" + op: "ZerosLike" + input: "softmax_cross_entropy_loss/xentropy:1" attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { @@ -26089,38 +25370,59 @@ node { dim { size: -1 } + dim { + size: -1 + } } } } } +} +node { + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/ExpandDims/dim" + op: "Const" attr { - key: "frame_name" + key: "_output_shapes" value { - s: "bidirectional_rnn/bw/bw/while/while_context" + list { + shape { + } + } } } attr { - key: "is_constant" + key: "dtype" value { - b: true + type: DT_INT32 } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: -1 + } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/shape" - op: "Const" + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/ExpandDims" + op: "ExpandDims" + input: "gradients/softmax_cross_entropy_loss/xentropy/Reshape_2_grad/Reshape" + input: "gradients/softmax_cross_entropy_loss/xentropy_grad/ExpandDims/dim" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } + type: DT_FLOAT + } + } + attr { + key: "Tdim" + value { + type: DT_INT32 } } attr { @@ -26129,42 +25431,51 @@ node { list { shape { dim { - size: 2 + size: -1 + } + dim { + size: 1 } } } } } +} +node { + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/mul" + op: "Mul" + input: "gradients/softmax_cross_entropy_loss/xentropy_grad/ExpandDims" + input: "softmax_cross_entropy_loss/xentropy:1" attr { - key: "dtype" + key: "T" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { dim { - size: 2 + size: -1 + } + dim { + size: -1 } } - tensor_content: "\210\000\000\000\000\001\000\000" } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" - op: "Const" + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/LogSoftmax" + op: "LogSoftmax" + input: "softmax_cross_entropy_loss/xentropy/Reshape" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } + type: DT_FLOAT } } attr { @@ -26172,39 +25483,46 @@ node { value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } } } } } +} +node { + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/Neg" + op: "Neg" + input: "gradients/softmax_cross_entropy_loss/xentropy_grad/LogSoftmax" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_FLOAT - tensor_shape { + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } } - float_val: -0.12371791154146194 } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/max" + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/ExpandDims_1/dim" op: "Const" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } - } - } attr { key: "_output_shapes" value { @@ -26217,37 +25535,36 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + 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"loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } - } - } attr { key: "_output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } } } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/mul" - op: "Mul" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/sub" + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/tuple/group_deps" + op: "NoOp" + input: "^gradients/softmax_cross_entropy_loss/xentropy_grad/mul" + input: "^gradients/softmax_cross_entropy_loss/xentropy_grad/mul_1" +} +node { + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/tuple/control_dependency" + op: "Identity" + input: "gradients/softmax_cross_entropy_loss/xentropy_grad/mul" + input: "^gradients/softmax_cross_entropy_loss/xentropy_grad/tuple/group_deps" attr { key: "T" value { @@ -26328,7 +25631,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@gradients/softmax_cross_entropy_loss/xentropy_grad/mul" } } } @@ -26338,10 +25641,10 @@ node { list { shape { dim { - size: 136 + size: -1 } dim { - size: 256 + size: -1 } } } @@ -26349,10 +25652,10 @@ node { } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" - op: "Add" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/mul" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform/min" + name: "gradients/softmax_cross_entropy_loss/xentropy_grad/tuple/control_dependency_1" + op: "Identity" + input: "gradients/softmax_cross_entropy_loss/xentropy_grad/mul_1" + input: "^gradients/softmax_cross_entropy_loss/xentropy_grad/tuple/group_deps" attr { key: "T" value { @@ -26363,7 +25666,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + s: "loc:@gradients/softmax_cross_entropy_loss/xentropy_grad/mul_1" } } } @@ -26373,10 +25676,10 @@ node { list { shape { dim { - size: 136 + size: -1 } dim { - size: 256 + size: -1 } } } @@ -26384,15 +25687,13 @@ node { } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/softmax_cross_entropy_loss/xentropy/Reshape_grad/Shape" + op: "Shape" + input: "dense/Elu" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } + type: DT_FLOAT } } attr { @@ -26400,89 +25701,94 @@ node { value { list { shape { + dim { + size: 3 + } } } } } attr { - key: "container" + key: "out_type" value { - s: "" + type: DT_INT32 } } +} +node { + name: "gradients/softmax_cross_entropy_loss/xentropy/Reshape_grad/Reshape" + op: "Reshape" + input: "gradients/softmax_cross_entropy_loss/xentropy_grad/tuple/control_dependency" + input: "gradients/softmax_cross_entropy_loss/xentropy/Reshape_grad/Shape" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "shape" - value { - shape { - dim { - size: 136 - } - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" + key: "Tshape" value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" + type: DT_INT32 } } -} -node { - name: 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list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } + type: DT_FLOAT } } attr { - key: "dtype" + key: "_output_shapes" value { - type: DT_FLOAT + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 22 + } + } + } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/dense/BiasAdd_grad/BiasAddGrad" + op: "BiasAddGrad" + input: "gradients/dense/Elu_grad/EluGrad" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel" - } + type: DT_FLOAT } } attr { @@ -26491,27 +25797,30 @@ node { list { shape { dim { - size: 136 - } - dim { - size: 256 + size: 22 } } } } } attr { - key: "dtype" + key: "data_format" value { - type: DT_FLOAT + s: "NHWC" } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/Initializer/Identity" + name: "gradients/dense/BiasAdd_grad/tuple/group_deps" + op: "NoOp" + input: "^gradients/dense/BiasAdd_grad/BiasAddGrad" + input: "^gradients/dense/Elu_grad/EluGrad" +} +node { + name: "gradients/dense/BiasAdd_grad/tuple/control_dependency" op: "Identity" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/Initializer/random_uniform" - device: "/replica:0/task:0/device:GPU:1" + input: "gradients/dense/Elu_grad/EluGrad" + input: "^gradients/dense/BiasAdd_grad/tuple/group_deps" attr { key: "T" value { @@ -26522,7 +25831,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" + s: "loc:@gradients/dense/Elu_grad/EluGrad" } } } @@ -26532,10 +25841,13 @@ node { list { shape { dim { - size: 136 + size: -1 } dim { - size: 256 + size: -1 + } + dim { + size: 22 } } } @@ -26543,14 +25855,21 @@ node { } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" + name: "gradients/dense/BiasAdd_grad/tuple/control_dependency_1" + op: "Identity" + input: "gradients/dense/BiasAdd_grad/BiasAddGrad" + input: "^gradients/dense/BiasAdd_grad/tuple/group_deps" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" + s: "loc:@gradients/dense/BiasAdd_grad/BiasAddGrad" } } } @@ -26559,89 +25878,58 @@ node { value { list { shape { + dim { + size: 22 + } } } } } +} +node { + name: "gradients/dense/Tensordot_grad/Shape" + op: "Shape" + input: "dense/Tensordot/MatMul" attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } - attr { - key: "shape" - value { - shape { - dim { - size: 136 - } - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" - value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } - } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_output_shapes" value { list { shape { + dim { + size: 2 + } } } } } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - input: 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"loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/kernel/replica_1" - } + type: DT_INT32 } } attr { @@ -26650,31 +25938,25 @@ node { list { shape { dim { - size: 136 + size: -1 } dim { - size: 256 + size: 22 } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - op: "Const" + name: "gradients/dense/Tensordot/MatMul_grad/MatMul" + op: "MatMul" + input: "gradients/dense/Tensordot_grad/Reshape" + input: "dense/Tensordot/ReadVariableOp" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - } + type: DT_FLOAT } } attr { @@ -26682,6 +25964,9 @@ node { value { list { shape { + dim { + size: -1 + } dim { size: 256 } @@ -26690,36 +25975,27 @@ node { } } attr { - key: "dtype" + key: "transpose_a" value { - type: DT_FLOAT + b: false } } attr { - key: "value" + key: "transpose_b" value { - tensor { - dtype: DT_FLOAT - tensor_shape { - dim { - size: 256 - } - } - float_val: 1.0 - } + b: true } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/dense/Tensordot/MatMul_grad/MatMul_1" + op: "MatMul" + input: "dense/Tensordot/Reshape" + input: "gradients/dense/Tensordot_grad/Reshape" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - } + type: DT_FLOAT } } attr { @@ -26727,85 +26003,51 @@ node { value { list { shape { + dim { + size: -1 + } + dim { + size: 22 + } } } } } attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "shape" + key: "transpose_a" value { - shape { - dim { - size: 256 - } - } + b: true } } attr { - key: "shared_name" + key: "transpose_b" value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" + b: false } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_output_shapes" - value { - list { - shape { - } - } - } - } + name: "gradients/dense/Tensordot/MatMul_grad/tuple/group_deps" + op: "NoOp" + input: "^gradients/dense/Tensordot/MatMul_grad/MatMul" + input: "^gradients/dense/Tensordot/MatMul_grad/MatMul_1" } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias" - input: 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"loc:@gradients/dense/Tensordot/MatMul_grad/MatMul" } } } @@ -26814,6 +26056,9 @@ node { value { list { shape { + dim { + size: -1 + } dim { size: 256 } @@ -26821,18 +26066,12 @@ node { } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/Initializer/Identity" + name: "gradients/dense/Tensordot/MatMul_grad/tuple/control_dependency_1" op: "Identity" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - device: "/replica:0/task:0/device:GPU:1" + input: "gradients/dense/Tensordot/MatMul_grad/MatMul_1" + input: "^gradients/dense/Tensordot/MatMul_grad/tuple/group_deps" attr { key: "T" value { @@ -26843,7 +26082,7 @@ node { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" + s: "loc:@gradients/dense/Tensordot/MatMul_grad/MatMul_1" } } } @@ -26855,21 +26094,22 @@ node { dim { size: 256 } + dim { + size: 22 + } } } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" + name: "gradients/dense/Tensordot/Reshape_grad/Shape" + op: "Shape" + input: "dense/Tensordot/transpose" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - } + type: DT_FLOAT } } attr { @@ -26877,86 +26117,64 @@ node { value { list { shape { + dim { + size: 3 + } } } } } attr { - key: "container" + key: "out_type" value { - s: "" + type: DT_INT32 } } +} +node { + name: "gradients/dense/Tensordot/Reshape_grad/Reshape" + op: "Reshape" + input: "gradients/dense/Tensordot/MatMul_grad/tuple/control_dependency" + input: "gradients/dense/Tensordot/Reshape_grad/Shape" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "shape" - value { - shape { - dim { - size: 256 - } - } - } - } - attr { - key: "shared_name" + key: "Tshape" value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" + type: DT_INT32 } } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 256 + } } } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/gates/bias/replica_1" - input: 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+26183,28 @@ node { list { shape { dim { - size: 256 + size: 3 } } } } } +} +node { + name: "gradients/dense/Tensordot/transpose_grad/transpose" + op: "Transpose" + input: "gradients/dense/Tensordot/Reshape_grad/Reshape" + input: "gradients/dense/Tensordot/transpose_grad/InvertPermutation" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel/Initializer/random_uniform/shape" - op: "Const" attr { - key: "_class" + key: "Tperm" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - } + type: DT_INT32 } } attr { @@ -26995,44 +26213,22 @@ node { list { shape { dim { - size: 2 + size: -1 } - } - } - } - } - attr { - key: "dtype" - value { - type: DT_INT32 - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { dim { - size: 2 + size: -1 + } + dim { + 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"loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - } + type: DT_FLOAT } } attr { @@ -35459,44 +34418,50 @@ node { value { list { shape { + dim { + size: 128 + } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_20" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:20" attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "shape" + key: "_output_shapes" value { - shape { - dim { - size: 256 + list { + shape { + dim { + size: -1 + } + dim { + size: 128 + } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_21" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:21" attr { - key: "shared_name" + key: "T" value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" + type: DT_VARIANT } } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -35508,37 +34473,33 @@ node { } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Assign" - op: "AssignVariableOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_22" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:22" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - } + type: DT_VARIANT } } attr { - key: "dtype" + key: "_output_shapes" value { - type: DT_FLOAT + list { + shape { + } + } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Read/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_23" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:23" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias" - } + type: DT_VARIANT } } attr { @@ -35546,62 +34507,59 @@ node { value { list { shape { - dim { - size: 256 - } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/Initializer/Identity" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_24" op: "Identity" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/Initializer/Const" - device: "/replica:0/task:0/device:GPU:1" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:24" attr { key: "T" value { - type: DT_FLOAT + type: DT_VARIANT } } attr { - key: "_class" + key: "_output_shapes" value { list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" + shape { + } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_25" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:25" + attr { + key: "T" + value { + type: DT_VARIANT + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: 256 - } } } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:1" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_26" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:26" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - } + type: DT_VARIANT } } attr { @@ -35613,40 +34571,43 @@ node { } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_27" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:27" attr { - key: "container" - value { - s: "" - } - } - attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "shape" + key: "_output_shapes" value { - shape { - dim { - size: 256 + list { + shape { + dim { + size: -1 + } + dim { + size: 128 + } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_28" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:28" attr { - key: "shared_name" + key: "T" value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" + type: DT_VARIANT } } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_output_shapes" value { @@ -35658,37 +34619,33 @@ node { } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/gates/bias/replica_1/Assign" - op: "AssignVariableOp" - input: 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list { - s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" + shape { + } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_43" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:43" + attr { + key: "T" + value { + type: DT_VARIANT + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: 128 - } - dim { - size: 128 - } } } } } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/kernel" - op: "VarHandleOp" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_44" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:44" attr { - key: "_class" + key: "T" value { - list { - s: 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{ - size: 128 + list { + shape { } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_102" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:102" attr { - key: "shared_name" + key: "T" value { - s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" + type: DT_VARIANT } } -} -node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/IsInitialized/VarIsInitializedOp" - op: "VarIsInitializedOp" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1" - device: "/replica:0/task:0/device:GPU:1" attr { key: "_output_shapes" value { @@ -37390,37 +36123,33 @@ node { } } node { - name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/bias/replica_1/Assign" - op: 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@@ node { list { shape { dim { - size: -1 + size: 136 } dim { size: 256 @@ -37713,22 +36413,15 @@ node { } } } - attr { - key: "data_format" - value { - s: "NHWC" - } - } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/Sigmoid" - op: "Sigmoid" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/BiasAdd" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_117" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/bidirectional_rnn/fw/fw/while_grad:117" attr { key: "T" value { - type: DT_FLOAT + type: DT_VARIANT } } attr { @@ -37736,22 +36429,21 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 256 - } } } } } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/Const" - op: "Const" - input: "^bidirectional_rnn/bw/bw/while/Identity" - device: 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dim { - size: -1 + size: 136 } dim { - size: 128 + size: 256 } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_6" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_9" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { - key: "transpose_a" + key: "T" value { - b: false + type: DT_FLOAT } } attr { - key: "transpose_b" + key: "_class" value { - b: false + list { + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_9" + } } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp" - op: "ReadVariableOp" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp/Enter" - input: "^bidirectional_rnn/bw/bw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { dim { - size: 128 + size: 256 } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_7" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_10" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/BiasAdd_1/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/input_projection/bias" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_10" + } } } attr { @@ -38001,100 +36730,101 @@ node { value { list { shape { + dim { + size: 136 + } + dim { + size: 128 + } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_8" + op: "Identity" 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shape { - dim { - size: 128 - } - dim { - size: 128 - } - } - } - } - } + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_10" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_13" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/MatMul_2/ReadVariableOp/Enter" - op: "Enter" - input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/candidate/hidden_projection/kernel" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_13" + } } } attr { @@ -38102,35 +36832,19 @@ node { value { list { shape { + dim { + size: 256 + } } } } } - attr { - key: "frame_name" - value { - s: 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"gradients/bidirectional_rnn/fw/fw/while_grad/Identity_16" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { key: "T" value { @@ -38276,43 +36919,23 @@ node { } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_16" } } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/add" - op: "Add" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/BiasAdd_1" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/mul" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -38320,10 +36943,10 @@ node { } } node { - name: 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shape { + dim { + size: 256 + } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_15" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_18" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { - key: "dtype" + key: "T" value { type: DT_FLOAT } } attr { - key: "value" + key: "_class" value { - tensor { - dtype: DT_FLOAT - tensor_shape { - } - float_val: 1.0 + list { + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_18" } } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/sub" - op: "Sub" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/sub/x" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/split:1" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -38407,11 +37010,10 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/mul_1" - op: "Mul" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/sub" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/Tanh" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_16" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_19" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { key: "T" value { @@ -38419,41 +37021,18 @@ node { } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_19" } } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/mul_2" - op: "Mul" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/split:1" - input: "bidirectional_rnn/bw/bw/while/Identity_5" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } attr { key: "_output_shapes" value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -38463,11 +37042,10 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/add_1" - op: "Add" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/mul_1" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/mul_2" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_17" + op: "Identity" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/Identity_20" + input: "^gradients/bidirectional_rnn/fw/fw/while_grad/tuple/group_deps" attr { key: "T" value { @@ -38475,58 +37053,33 @@ node { } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } + s: "loc:@gradients/bidirectional_rnn/fw/fw/while_grad/Identity_20" } } } -} -node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/keep_prob" - op: "Const" - input: "^bidirectional_rnn/bw/bw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: -1 + } + dim { + size: 128 + } } } } } - attr { - key: "dtype" - value { - type: DT_FLOAT - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_FLOAT - tensor_shape { - } - float_val: 0.800000011920929 - } - } - } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/Shape" + name: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Shape" op: "Shape" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/cudnn_compatible_gru_cell/add_1" - device: "/replica:0/task:0/device:GPU:0" + input: "bidirectional_rnn/fw/fw/transpose" attr { key: "T" value { @@ -38539,7 +37092,7 @@ node { list { shape { dim { - size: 2 + size: 3 } } } @@ -38553,15 +37106,16 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/min" + name: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Slice/begin" op: "Const" - input: "^bidirectional_rnn/bw/bw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -38569,31 +37123,35 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_FLOAT + dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } - float_val: 0.0 + int_val: 1 } } } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/max" + name: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Slice/size" op: "Const" - input: "^bidirectional_rnn/bw/bw/while/Identity" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -38601,26 +37159,36 @@ node { attr { key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { key: "value" value { tensor { - dtype: DT_FLOAT + dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } - float_val: 1.0 + int_val: -1 } } } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/RandomUniform" - op: "RandomUniform" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/Shape" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Slice" + op: "Slice" + input: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Shape" + input: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Slice/begin" + input: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Slice/size" + attr { + key: "Index" + value { + type: DT_INT32 + } + } attr { key: "T" value { @@ -38633,40 +37201,53 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } +} +node { + name: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/TensorListStack" + op: "TensorListStack" + input: "gradients/bidirectional_rnn/fw/fw/while_grad/tuple/control_dependency_4" + input: "gradients/bidirectional_rnn/fw/fw/TensorArrayUnstack/TensorListFromTensor_grad/Slice" attr { - key: "dtype" + key: "_output_shapes" value { - type: DT_FLOAT + list { + shape { + dim { + size: -1 + } + dim { + size: -1 + } + dim { + size: 8 + } + } + } } } attr { - key: "seed" + key: "element_dtype" value { - i: 0 + type: DT_FLOAT } } attr { - key: "seed2" + key: "num_elements" value { - i: 0 + i: -1 } } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/sub" - op: "Sub" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/max" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/min" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/zeros_like_18" + op: "ZerosLike" + input: "bidirectional_rnn/bw/bw/while:4" attr { key: "T" value { @@ -38678,17 +37259,21 @@ node { value { list { shape { + dim { + size: -1 + } + dim { + size: 128 + } } } } } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout/random_uniform/mul" - op: "Mul" - input: 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+ op: "ZerosLike" + input: "bidirectional_rnn/bw/bw/while:18" attr { key: "T" value { @@ -39061,10 +37554,10 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { - size: 128 + size: 256 } } } @@ -39072,11 +37565,9 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout_1/random_uniform" - op: "Add" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout_1/random_uniform/mul" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout_1/random_uniform/min" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/zeros_like_31" + op: "ZerosLike" + input: "bidirectional_rnn/bw/bw/while:19" attr { key: "T" value { @@ -39089,10 +37580,7 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 256 } } } @@ -39100,11 +37588,9 @@ node { } } node { - name: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_2/dropout_1/add" - op: "Add" - input: 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input: "gradients/bidirectional_rnn/bw/bw/while_grad/bw/multi_rnn_cell/cell_2/gru_cell/add_0/accumulator/element_shape" + input: "bidirectional_rnn/bw/bw/strided_slice_1" attr { - key: "Taxis" + key: "_output_shapes" value { - type: DT_INT32 + list { + shape { + } + } } } attr { - key: "Tindices" + key: "element_dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "Tparams" + key: "shape_type" value { type: DT_INT32 } } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 2 - } - } - } - } - } } node { - name: "dense/Tensordot/GatherV2_1/axis" + name: "gradients/bidirectional_rnn/bw/bw/while_grad/gradients/bw/multi_rnn_cell/cell_2/dropout_1/Mul_grad/Shape_1_0/accumulator/element_shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -41533,6 +39669,9 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } } int_val: 0 } @@ -41540,47 +39679,35 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attr { - key: "keep_dims" + key: "element_dtype" value { - b: false + type: DT_INT32 + } + } + attr { + key: "shape_type" + value { + type: DT_INT32 } } } node { - name: "dense/Tensordot/Const_1" + name: "gradients/bidirectional_rnn/bw/bw/while_grad/gradients/bw/multi_rnn_cell/cell_2/gru_cell/add_grad/Shape_1_0/accumulator/element_shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { @@ -41680,29 +39799,16 @@ node { size: 1 } } - int_val: 0 + int_val: 2 } } } } node { - name: "dense/Tensordot/Prod_1" - op: "Prod" - input: "dense/Tensordot/GatherV2_1" - input: "dense/Tensordot/Const_1" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_INT32 - } - } - attr { - key: "Tidx" - value { - type: DT_INT32 - } - } + name: "gradients/bidirectional_rnn/bw/bw/while_grad/gradients/bw/multi_rnn_cell/cell_2/gru_cell/add_grad/Shape_1_0/accumulator" + op: "EmptyTensorList" + input: 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input: "dense/Tensordot/concat/axis" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/bidirectional_rnn/bw/bw/while_grad/gradients/bw/multi_rnn_cell/cell_2/gru_cell/mul_1_grad/Shape_0/accumulator" + op: "EmptyTensorList" + input: "gradients/bidirectional_rnn/bw/bw/while_grad/gradients/bw/multi_rnn_cell/cell_2/gru_cell/mul_1_grad/Shape_0/accumulator/element_shape" + input: "bidirectional_rnn/bw/bw/strided_slice_1" attr { - key: "N" + key: "_output_shapes" value { - i: 2 + list { + shape { + } + } } } attr { - key: "T" + key: "element_dtype" value { type: DT_INT32 } } attr { - key: "Tidx" + key: "shape_type" value { type: DT_INT32 } } +} +node { + name: "gradients/bidirectional_rnn/bw/bw/while_grad/bw/multi_rnn_cell/cell_2/gru_cell/split_1/accumulator/element_shape" + op: "Const" attr { key: "_output_shapes" value { list { shape { dim { - size: 3 + size: 2 } } } } } -} -node { - name: "dense/Tensordot/stack" - op: "Pack" - input: "dense/Tensordot/Prod" - input: 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"T" + key: "_output_shapes" value { - type: DT_FLOAT + list { + shape { + } + } } } attr { - key: "Tshape" + key: "element_dtype" + value { + type: DT_INT32 + } + } + attr { + key: "shape_type" value { type: DT_INT32 } } +} +node { + name: "gradients/bidirectional_rnn/bw/bw/while_grad/bw/multi_rnn_cell/cell_2/gru_cell/Tanh_0/accumulator/element_shape" + op: "Const" attr { key: "_output_shapes" value { list { shape { dim { - size: 256 - } - dim { - size: 22 + size: 2 } } } } } -} -node { - name: "dense/Tensordot/MatMul" - op: "MatMul" - input: "dense/Tensordot/Reshape" - input: "dense/Tensordot/Reshape_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "\377\377\377\377\200\000\000\000" + } } } +} +node { + name: 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tensor_content: "\377\377\377\377\200\000\000\000" } } } } node { - name: "dense/Tensordot/concat_1/axis" + name: "gradients/bidirectional_rnn/bw/bw/while_grad/bw/multi_rnn_cell/cell_2/gru_cell/sub_0/accumulator" + op: "EmptyTensorList" + input: "gradients/bidirectional_rnn/bw/bw/while_grad/bw/multi_rnn_cell/cell_2/gru_cell/sub_0/accumulator/element_shape" + input: "bidirectional_rnn/bw/bw/strided_slice_1" + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "element_dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape_type" + value { + type: DT_INT32 + } + } +} +node { + name: "gradients/bidirectional_rnn/bw/bw/while_grad/gradients/bw/multi_rnn_cell/cell_2/gru_cell/sub_grad/Shape_0/accumulator/element_shape" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { + dim { + size: 1 + } } } } @@ -42140,6 +40236,9 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 1 + } 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attr { key: "T" value { - type: DT_INT32 + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@gradients/bidirectional_rnn/bw/bw/while_grad/Identity_15" + } } } attr { @@ -48669,45 +47318,66 @@ node { value { list { shape { + dim { + size: 128 + } } } } } +} +node { + name: "gradients/bidirectional_rnn/bw/bw/while_grad/tuple/control_dependency_13" + op: "Identity" + input: "gradients/bidirectional_rnn/bw/bw/while_grad/Identity_16" + input: "^gradients/bidirectional_rnn/bw/bw/while_grad/tuple/group_deps" attr { - key: "frame_name" + key: "T" value { - s: "bidirectional_rnn/fw/fw/while/while_context" + type: DT_FLOAT } } attr { - key: "is_constant" + key: "_class" value { - b: false + list { + s: "loc:@gradients/bidirectional_rnn/bw/bw/while_grad/Identity_16" + } } } attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + dim { + size: 256 + } + dim { + size: 256 + } + } + } } } } node { - name: "gradients/Merge" - op: 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DT_INT32 tensor_shape { + dim { + size: 1 + } } int_val: 1 } @@ -49567,10 +48104,18 @@ node { } } node { - name: "gradients/b_count_5" - op: "Enter" - input: "gradients/f_count_5" - device: "/replica:0/task:0/device:GPU:0" + name: "gradients/embedding_lookup_grad/strided_slice" + op: "StridedSlice" + input: "gradients/embedding_lookup_grad/Const" + input: "gradients/embedding_lookup_grad/strided_slice/stack" + input: "gradients/embedding_lookup_grad/strided_slice/stack_1" + input: "gradients/embedding_lookup_grad/strided_slice/stack_2" + attr { + key: "Index" + value { + type: DT_INT32 + } + } attr { key: "T" value { @@ -49582,143 +48127,157 @@ node { value { list { shape { + dim { + size: 1 + } } } } } attr { - key: "frame_name" + key: "begin_mask" value { - s: "gradients/bidirectional_rnn/bw/bw/while/while_context" + i: 0 } } attr { - key: "is_constant" + key: "ellipsis_mask" value { - b: false + i: 0 } } attr { - key: "parallel_iterations" + key: "end_mask" value { - i: 32 + i: 1 } 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+ input: "embeddings/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/softmax_cross_entropy_loss/div_grad/Reshape" + s: "loc:@embeddings" } } } @@ -50424,107 +48910,69 @@ node { } } node { - name: "gradients/softmax_cross_entropy_loss/div_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/softmax_cross_entropy_loss/div_grad/Reshape_1" - input: "^gradients/softmax_cross_entropy_loss/div_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "embeddings/Adam_1/Assign" + op: "AssignVariableOp" + input: "embeddings/Adam_1" + input: "embeddings/Adam_1/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "embeddings/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "embeddings/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/softmax_cross_entropy_loss/div_grad/Reshape_1" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - } + s: 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key: "_class" value { list { - shape { - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } -} -node { - name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Const" - op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_output_shapes" value { list { shape { dim { + size: 2 } } } @@ -50543,52 +48991,30 @@ node { dtype: DT_INT32 tensor_shape { dim { + size: 2 } } + tensor_content: "\210\000\000\000\000\001\000\000" } } } } node { - name: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Tile" - op: "Tile" - input: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Reshape" - input: "gradients/softmax_cross_entropy_loss/Sum_1_grad/Const" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_FLOAT - } - } - attr { - key: "Tmultiples" - value { - type: DT_INT32 - } - } + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros/Const" + op: "Const" attr { - key: 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value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Adam/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Adam" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + } + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 - } - dim { - size: -1 + size: 256 } } } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "gradients/softmax_cross_entropy_loss/xentropy_grad/ExpandDims/dim" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias/Adam_1/Initializer/zeros" op: "Const" - device: "/replica:0/task:0/device:GPU:0" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_0/gru_cell/gates/bias" + } + } + } attr { key: "_output_shapes" value { list { shape { + dim { + size: 256 + } } } } @@ 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"shared_name" value { - type: DT_FLOAT + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Adam_1" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Adam_1/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Switch_3_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -53602,48 +51894,32 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/Switch" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: 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+ s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/kernel" } } } @@ -53653,7 +51929,7 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -53662,24 +51938,21 @@ node { } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/Switch:1" - input: "^gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Switch_3_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" } } } @@ -53688,9 +51961,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { 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} } @@ -53846,17 +52096,6 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 - } dim { size: 128 } @@ -53864,30 +52103,21 @@ node { } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/Switch" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/tuple/control_dependency" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/Switch" - input: "^gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: 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"/replica:0/task:0/device:GPU:0" attr { - key: "N" + key: "container" value { - i: 2 + s: "" } } attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } - shape { + shape { + dim { + size: 128 } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Switch_4_grad/b_switch" - op: "Merge" - input: "gradients/bidirectional_rnn/bw/bw/while/Exit_4_grad/b_exit" - input: "gradients/bidirectional_rnn/bw/bw/while/Switch_4_grad_1/NextIteration" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "N" + key: "shared_name" value { - i: 2 + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" + } } } attr { key: "_output_shapes" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } shape { } } @@ -54046,21 +52233,27 @@ node { } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Switch_5_grad/b_switch" - op: "Merge" - input: "gradients/bidirectional_rnn/bw/bw/while/Exit_5_grad/b_exit" - input: "gradients/bidirectional_rnn/bw/bw/while/Switch_5_grad_1/NextIteration" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1/Initializer/zeros" attr { - key: "N" + key: "dtype" value { - i: 2 + type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Adam_1" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_1/gru_cell/candidate/bias" + } } } attr { @@ -54068,28 +52261,29 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } } - shape { - } } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Enter_2_grad/Exit" - op: "Exit" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_2_grad/tuple/control_dependency" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam/Initializer/zeros/shape_as_tensor" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" + } } } attr { @@ -54097,47 +52291,43 @@ node { value { list { shape { + dim { + size: 2 + } } } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Enter_3_grad/Exit" - op: "Exit" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/tuple/control_dependency" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } + tensor { + dtype: DT_INT32 + tensor_shape { dim { - size: 128 + size: 2 } } + tensor_content: "\000\001\000\000\000\001\000\000" } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Enter_4_grad/Exit" - op: "Exit" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_4_grad/tuple/control_dependency" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam/Initializer/zeros/Const" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" + } } } attr { @@ -54145,50 +52335,33 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Enter_5_grad/Exit" - op: "Exit" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/tuple/control_dependency" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: 0.0 } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_2_grad/Switch" - op: "Switch" - input: "gradients/bidirectional_rnn/bw/bw/while/Switch_2_grad/b_switch" - input: "gradients/b_count_6" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam/Initializer/zeros" + op: "Fill" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam/Initializer/zeros/shape_as_tensor" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam/Initializer/zeros/Const" attr { key: "T" value { @@ -54199,7 +52372,7 @@ node { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_2_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54208,36 +52381,31 @@ node { value { list { shape { - } - shape { + dim { + size: 256 + } + dim { + size: 256 + } } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_2_grad/tuple/group_deps" - op: "NoOp" - input: 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"gradients/bidirectional_rnn/bw/bw/while/Merge_2_grad/Switch:1" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_2_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "allowed_devices" value { - type: DT_FLOAT + list { + } } } attr { - key: "_class" + key: "container" value { - list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_2_grad/b_switch" - } + s: "" } } attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 256 + } + dim { + size: 256 } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/Switch" - op: "Switch" - input: "gradients/bidirectional_rnn/bw/bw/while/Switch_3_grad/b_switch" - input: "gradients/b_count_6" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "shared_name" value { - type: DT_FLOAT + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_3_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54306,48 +52474,32 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } - } - shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/Switch" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/tuple/control_dependency" - op: 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list { shape { dim { - size: -1 + size: 256 } dim { - size: 128 + size: 256 } } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/Switch:1" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Initializer/zeros/shape_as_tensor" + op: "Const" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_3_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54393,33 +52542,41 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/Switch" - op: 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tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: 0.0 } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/Switch" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/tuple/control_dependency" - op: "Identity" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/Switch" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Initializer/zeros" + op: "Fill" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Initializer/zeros/shape_as_tensor" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Initializer/zeros/Const" attr { key: "T" value { @@ -54469,7 +52622,7 @@ node { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_4_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54479,33 +52632,30 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { - size: 128 + size: 256 } } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/Switch:1" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "index_type" value { - type: DT_FLOAT + type: DT_INT32 } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1" + op: "VarHandleOp" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_4_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54514,84 +52664,58 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_5_grad/Switch" - op: "Switch" - input: "gradients/bidirectional_rnn/bw/bw/while/Switch_5_grad/b_switch" - input: "gradients/b_count_6" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "allowed_devices" value { - type: DT_FLOAT + list { + } } } attr { - key: "_class" + key: "container" value { - list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_5_grad/b_switch" - } + s: "" } } attr { - key: "_output_shapes" + key: "dtype" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 256 } - shape { - dim { - size: -1 - } - dim { - size: 128 - } + dim { + size: 256 } } } } -} -node { - name: 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"loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_5_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54600,34 +52724,32 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Merge_5_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_5_grad/Switch:1" - input: "^gradients/bidirectional_rnn/bw/bw/while/Merge_5_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_5_grad/b_switch" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/kernel" } } } @@ -54637,27 +52759,30 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { - size: 128 + size: 256 } } } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayGrad/TensorArrayGradV3" - op: "TensorArrayGradV3" - input: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayGrad/TensorArrayGradV3/Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_2_grad/tuple/control_dependency_1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -54667,37 +52792,41 @@ node { list { shape { dim { - size: 2 + size: 256 } } - shape { - } } } } attr { - key: "source" + key: "dtype" value { - s: "gradients" + type: DT_FLOAT } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayGrad/TensorArrayGradV3/Enter" - op: "Enter" - input: "bidirectional_rnn/fw/fw/TensorArray" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "value" value { - type: DT_RESOURCE + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 256 + } + } + float_val: 0.0 + } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam" + op: "VarHandleOp" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -54706,84 +52835,73 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "frame_name" + key: "allowed_devices" value { - s: "gradients/bidirectional_rnn/fw/fw/while/while_context" + list { + } } } attr { - key: "is_constant" + key: "container" value { - b: true + s: "" } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayGrad/gradient_flow" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_2_grad/tuple/control_dependency_1" - input: "^gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayGrad/TensorArrayGradV3" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "shape" value { - type: DT_FLOAT + shape { + dim { + size: 256 + } + } } } attr { - key: "_class" + key: "shared_name" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul" - } + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam" } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam" attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3" - op: "TensorArrayReadV3" - input: 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"Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -54808,6 +52926,9 @@ node { value { list { shape { + dim { + size: 256 + } } } } @@ -54815,31 +52936,18 @@ node { attr { key: "dtype" value { - type: DT_INT32 - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { - } - int_val: -1 - } + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam_1/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -54849,34 +52957,42 @@ node { list { shape { dim { - size: 2 + size: 256 } } } } } attr { - key: "elem_type" + key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { - key: "stack_name" + key: "value" value { - s: "" + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 256 + } + } + float_val: 0.0 + } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: 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device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam_1/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam_1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam_1/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/gates/bias" } } } @@ -55145,33 +53092,27 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 256 } } } } } -} -node { - name: 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"gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/StackPopV2" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } + tensor { + dtype: DT_INT32 + tensor_shape { dim { - size: 128 + size: 2 } } + tensor_content: "\000\001\000\000\200\000\000\000" } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/Const" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Initializer/zeros/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_3" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -55236,31 +53172,37 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_FLOAT tensor_shape { } - int_val: -1 + float_val: 0.0 } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Initializer/zeros" + op: "Fill" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Initializer/zeros/shape_as_tensor" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Initializer/zeros/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_3" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -55270,34 +53212,31 @@ node { list { shape { dim { - size: 2 + size: 256 + } + dim { + size: 128 } } } } } attr { - key: "elem_type" - value { - type: DT_FLOAT - } - } - attr { - key: "stack_name" + key: "index_type" value { - s: "" + type: DT_INT32 } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + } } } attr { @@ -55305,148 +53244,93 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "allowed_devices" value { - b: true + list { + } } } attr { - key: "parallel_iterations" + key: "container" value { - i: 32 + s: "" } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/Enter" - input: "bidirectional_rnn/fw/fw/while/Identity_3" - input: "^gradients/Add" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + shape { + dim { + size: 256 + } + dim { + size: 128 } } } } attr { - key: "swap_memory" + key: "shared_name" value { - b: false + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam" } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/StackPopV2" - op: "StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/StackPopV2/Enter" - input: "^gradients/Sub" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam" attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } - attr { - key: "elem_type" - value { - type: DT_FLOAT - } - } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/StackPopV2/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" - value { - type: DT_RESOURCE - } - } attr { key: "_output_shapes" value { list { shape { - dim { - size: 2 - } } } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Initializer/zeros" attr { - key: "frame_name" - value { - s: "gradients/bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select" - op: "Select" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/tuple/control_dependency_1" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + } } } attr { @@ -55455,7 +53339,7 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -55464,16 +53348,21 @@ node { } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/Const" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros/shape_as_tensor" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/GreaterEqual" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -55482,6 +53371,9 @@ node { value { list { shape { + dim { + size: 2 + } } } } @@ -55498,22 +53390,23 @@ node { tensor { dtype: DT_INT32 tensor_shape { + dim { + size: 2 + } } - int_val: -1 + tensor_content: "\000\001\000\000\200\000\000\000" } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros/Const" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/GreaterEqual" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -55522,35 +53415,45 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "elem_type" + key: "dtype" value { - type: DT_BOOL + type: DT_FLOAT } } attr { - key: "stack_name" + key: "value" value { - s: "" + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } } } } node { - name: 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value { - b: true - } - } - attr { - key: "parallel_iterations" + key: "index_type" value { - i: 32 + type: DT_INT32 } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/Enter" - input: "bidirectional_rnn/fw/fw/while/GreaterEqual" - input: "^gradients/Add" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_BOOL + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + } } } attr { @@ -55602,98 +53494,59 @@ node { value { list { shape { - dim { - size: -1 - } } } } } attr { - key: "swap_memory" - value { - b: false - } - } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - op: "StackPopV2" - input: 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"parallel_iterations" + key: "shared_name" value { - i: 32 + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select_1" - op: "Select" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/zeros_like" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_3_grad/tuple/control_dependency_1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + } } } attr { @@ -55701,41 +53554,32 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select_1" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/tuple/control_dependency" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -55745,7 +53589,7 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -55754,24 +53598,21 @@ node { } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select_1" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Initializer/zeros" + op: "Const" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select_1" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -55780,9 +53621,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -55790,43 +53628,35 @@ node { } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like" - op: "ZerosLike" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/StackPopV2" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } + tensor { + dtype: DT_FLOAT + tensor_shape { dim { size: 128 } } + float_val: 0.0 } } } } node { - name: 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"StackV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_4" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -55875,35 +53722,33 @@ node { value { list { shape { - dim { - size: 2 - } } } } } +} +node { + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Initializer/zeros" attr { - key: "elem_type" + key: "dtype" value { type: DT_FLOAT } } - attr { - key: "stack_name" - value { - s: "" - } - } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } } } attr { @@ -55912,42 +53757,28 @@ node { list { shape { dim { - size: 2 + size: 128 } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/Enter" - input: "bidirectional_rnn/fw/fw/while/Identity_4" - input: "^gradients/Add" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1/Initializer/zeros" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } } } attr { @@ -55955,9 +53786,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -55966,49 +53794,35 @@ node { } } attr { - key: "swap_memory" + key: "dtype" value { - b: false + type: DT_FLOAT } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/StackPopV2" - op: "StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/StackPopV2/Enter" - input: "^gradients/Sub" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } + tensor { + dtype: DT_FLOAT + tensor_shape { dim { size: 128 } } + float_val: 0.0 } } } - attr { - key: "elem_type" - value { - type: DT_FLOAT - } - } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/StackPopV2/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } } } attr { @@ -56016,72 +53830,56 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "frame_name" + key: "allowed_devices" value { - s: "gradients/bidirectional_rnn/fw/fw/while/while_context" + list { + } } } attr { - key: "is_constant" + key: "container" value { - b: true + s: "" } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/Select" - op: "Select" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_4_grad/tuple/control_dependency_1" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "shape" value { - type: DT_FLOAT + shape { + dim { + size: 128 + } + } } } attr { - key: "_output_shapes" + key: "shared_name" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } - } + s: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/Select_1" - op: "Select" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/zeros_like" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_4_grad/tuple/control_dependency_1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } } } attr { @@ -56089,41 +53887,32 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: 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"bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/Select" + s: "loc:@bidirectional_rnn/fw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -56132,9 +53921,6 @@ node { value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -56142,24 +53928,21 @@ node { } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/Select_1" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros/shape_as_tensor" + op: "Const" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Select_2_grad/Select_1" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } @@ -56169,52 +53952,41 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 2 } } } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like" - op: "ZerosLike" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/StackPopV2" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_FLOAT + type: DT_INT32 } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } + tensor { + dtype: DT_INT32 + tensor_shape { dim { - size: 128 + size: 2 } } + tensor_content: "\210\000\000\000\000\001\000\000" } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/Const" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros/Const" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_5" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } @@ -56230,31 +54002,37 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_FLOAT tensor_shape { } - int_val: -1 + float_val: 0.0 } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros" + op: "Fill" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros/shape_as_tensor" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros/Const" + attr { + key: "T" + value { + type: DT_FLOAT + } + } attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/Identity_5" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } @@ -56264,34 +54042,31 @@ node { list { shape { dim { - size: 2 + size: 136 + } + dim { + size: 256 } } } } } attr { - key: "elem_type" - value { - type: DT_FLOAT - } - } - attr { - key: "stack_name" + key: "index_type" value { - s: "" + type: DT_INT32 } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -56299,43 +54074,59 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "frame_name" + key: "allowed_devices" value { - s: "bidirectional_rnn/fw/fw/while/while_context" + list { + } } } attr { - key: "is_constant" + key: "container" value { - b: true + s: "" } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 136 + } + dim { + size: 256 + } + } + } + } + attr { + key: "shared_name" + value { + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam" } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/Enter" - input: "bidirectional_rnn/fw/fw/while/Identity_5" - input: "^gradients/Add" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -56343,60 +54134,66 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Initializer/zeros" attr { - key: "swap_memory" + key: "dtype" value { - b: false + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/StackPopV2" - op: "StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/StackPopV2/Enter" - input: "^gradients/Sub" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 136 } dim { - size: 128 + size: 256 } } } } } attr { - key: "elem_type" + key: "dtype" value { type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/StackPopV2/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam_1/Initializer/zeros/shape_as_tensor" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -56412,35 +54209,35 @@ node { } } attr { - key: "frame_name" - value { - s: "gradients/bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: true + type: DT_INT32 } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "\210\000\000\000\000\001\000\000" + } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select" - op: "Select" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/tuple/control_dependency_1" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam_1/Initializer/zeros/Const" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" + } } } attr { @@ -56448,59 +54245,33 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select_1" - op: "Select" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/zeros_like" - input: "gradients/bidirectional_rnn/fw/fw/while/Merge_5_grad/tuple/control_dependency_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "value" value { - list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } + tensor { + dtype: DT_FLOAT + tensor_shape { } + float_val: 0.0 } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select_1" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/tuple/control_dependency" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam_1/Initializer/zeros" + op: "Fill" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam_1/Initializer/zeros/shape_as_tensor" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam_1/Initializer/zeros/Const" attr { key: "T" value { @@ -56511,7 +54282,7 @@ node { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } @@ -56521,33 +54292,30 @@ node { list { shape { dim { - size: -1 + size: 136 } dim { - size: 128 + size: 256 } } } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select_1" - input: "^gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "index_type" value { - type: DT_FLOAT + type: DT_INT32 } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Adam_1" + op: "VarHandleOp" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/fw/fw/while/Select_3_grad/Select_1" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_0/gru_cell/gates/kernel" } } } @@ -56556,47 +54324,59 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Enter_2_grad/Exit" - op: "Exit" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_2_grad/tuple/control_dependency" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "allowed_devices" + value { + list { + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" value { type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { 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"bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros" + op: "Fill" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros/shape_as_tensor" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros/Const" attr { key: "T" value { @@ -61108,7 +58432,7 @@ node { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/TensorArrayWrite/TensorArrayWriteV3_grad/TensorArrayReadV3" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -61118,7 +58442,7 @@ node { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -61127,24 +58451,81 @@ node { } } } + attr { + key: "index_type" + value { + type: DT_INT32 + } + } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/TensorArrayWrite/TensorArrayWriteV3_grad/tuple/control_dependency_1" - op: "Identity" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_2_grad/tuple/control_dependency_1" - input: "^gradients/bidirectional_rnn/bw/bw/while/TensorArrayWrite/TensorArrayWriteV3_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" + op: "VarHandleOp" attr { - key: "T" + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + } + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + attr { + key: "allowed_devices" + value { + list { + } + } + } + attr { + key: "container" + value { + s: "" + } + } + attr { + key: "dtype" value { type: DT_FLOAT } } + attr { + key: "shape" + value { + shape { + dim { + size: 256 + } + dim { + size: 128 + } + } + } + } + attr { + key: "shared_name" + value { + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" + } + } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" attr { key: "_class" value { list { - s: "loc:@gradients/bidirectional_rnn/bw/bw/while/Switch_2_grad/b_switch" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" } } } @@ -61159,23 +58540,36 @@ node { } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like" - op: "ZerosLike" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/StackPopV2" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel/Adam_1" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/kernel" + } + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 256 } dim { size: 128 @@ -61184,16 +58578,21 @@ node { } } } + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/Const" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Initializer/zeros" op: "Const" - device: "/replica:0/task:0/device:GPU:0" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/bw/while/Identity_3" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -61202,6 +58601,9 @@ node { value { list { shape { + dim { + size: 128 + } } } } @@ -61209,31 +58611,32 @@ node { attr { key: "dtype" value { - type: DT_INT32 + type: DT_FLOAT } } attr { key: "value" value { tensor { - dtype: DT_INT32 + dtype: DT_FLOAT tensor_shape { + dim { + size: 128 + } } - int_val: -1 + float_val: 0.0 } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" + op: "VarHandleOp" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/bw/while/Identity_3" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -61242,89 +58645,97 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "elem_type" + key: "allowed_devices" value { - type: DT_FLOAT + list { + } } } attr { - key: "stack_name" + key: "container" value { s: "" } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { - type: DT_RESOURCE + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "shape" value { - list { - shape { - dim { - size: 2 - } + shape { + dim { + size: 128 } } } } attr { - key: "frame_name" + key: "shared_name" value { - s: "bidirectional_rnn/bw/bw/while/while_context" + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" attr { - key: "is_constant" + key: "_class" value { - b: true + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } } } attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + } + } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/Enter" - input: "bidirectional_rnn/bw/bw/while/Identity_3" - input: "^gradients/Add_1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Assign" + op: "AssignVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -61333,26 +58744,28 @@ node { } } attr { - key: "swap_memory" + key: "dtype" value { - b: false + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/StackPopV2" - op: "StackPopV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/StackPopV2/Enter" - input: "^gradients/Sub_1" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1/Initializer/zeros" + op: "Const" + attr { + key: "_class" + value { + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } + } + } attr { key: "_output_shapes" value { list { shape { - dim { - size: -1 - } dim { size: 128 } @@ -61361,21 +58774,35 @@ node { } } attr { - key: "elem_type" + key: "dtype" value { type: DT_FLOAT } } + attr { + key: "value" + value { + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 128 + } + } + float_val: 0.0 + } + } + } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/StackPopV2/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" + } } } attr { @@ -61383,43 +58810,56 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "frame_name" + key: "allowed_devices" value { - s: "gradients/bidirectional_rnn/bw/bw/while/while_context" + list { + } } } attr { - key: "is_constant" + key: "container" value { - b: true + s: "" } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 128 + } + } + } + } + attr { + key: "shared_name" + value { + s: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select" - op: "Select" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/tuple/control_dependency_1" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like" - device: "/replica:0/task:0/device:GPU:0" + name: 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+} +node { + name: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1/Read/ReadVariableOp" + op: "ReadVariableOp" + input: "bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias/Adam_1" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/bw/while/GreaterEqual" + s: "loc:@bidirectional_rnn/bw/multi_rnn_cell/cell_2/gru_cell/candidate/bias" } } } @@ -61455,6 +58901,9 @@ node { value { list { shape { + dim { + size: 128 + } } } } @@ -61462,31 +58911,18 @@ node { attr { key: "dtype" value { - type: DT_INT32 - } - } - attr { - key: "value" - value { - tensor { - dtype: DT_INT32 - tensor_shape { - } - int_val: -1 - } + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/kernel/Adam/Initializer/zeros/shape_as_tensor" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/bw/bw/while/GreaterEqual" + s: "loc:@dense/kernel" } } } @@ -61503,27 +58939,35 @@ node { } } attr { - key: "elem_type" + key: "dtype" value { - type: DT_BOOL + type: DT_INT32 } } attr { - key: "stack_name" + key: "value" value { - s: "" + tensor { + dtype: DT_INT32 + tensor_shape { + dim { + size: 2 + } + } + tensor_content: "\000\001\000\000\026\000\000\000" + } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/f_acc" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/kernel/Adam/Initializer/zeros/Const" + op: "Const" attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@dense/kernel" + } } } attr { @@ -61531,98 +58975,78 @@ node { value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: true + type: DT_FLOAT } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_FLOAT + tensor_shape { + } + float_val: 0.0 + } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/Enter" - input: "bidirectional_rnn/bw/bw/while/GreaterEqual" - input: "^gradients/Add_1" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/kernel/Adam/Initializer/zeros" + op: "Fill" + input: "dense/kernel/Adam/Initializer/zeros/shape_as_tensor" + input: "dense/kernel/Adam/Initializer/zeros/Const" attr { key: "T" value { - type: DT_BOOL + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - } + s: "loc:@dense/kernel" } } } - attr { - key: "swap_memory" - value { - b: false - } - } -} -node { - name: 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"gradients/bidirectional_rnn/bw/bw/while/while_context" + list { + } } } attr { - key: "is_constant" + key: "container" value { - b: true + s: "" } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + dim { + size: 256 + } + dim { + size: 22 + } + } + } + } + attr { + key: "shared_name" + value { + s: "dense/kernel/Adam" } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select_1" - op: "Select" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/zeros_like" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_3_grad/tuple/control_dependency_1" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/kernel/Adam/IsInitialized/VarIsInitializedOp" + op: "VarIsInitializedOp" + input: "dense/kernel/Adam" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@dense/kernel" + } } } attr { @@ -61674,41 +59114,32 @@ node { value { list { shape { - dim { - size: -1 - } - dim { - size: 128 - } } } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/tuple/group_deps" - op: "NoOp" - input: "^gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select" - input: "^gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select_1" - device: "/replica:0/task:0/device:GPU:0" -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/tuple/control_dependency" - op: "Identity" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select" - input: "^gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/tuple/group_deps" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/kernel/Adam/Assign" + op: "AssignVariableOp" + input: "dense/kernel/Adam" + input: "dense/kernel/Adam/Initializer/zeros" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } +} +node { + name: 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size: 2 + size: 22 } } } } } attr { - key: "frame_name" - value { - s: "gradients/bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" + key: "dtype" value { - b: true + type: DT_FLOAT } } attr { - key: "parallel_iterations" + key: "value" value { - i: 32 + tensor { + dtype: DT_FLOAT + tensor_shape { + dim { + size: 22 + } + } + float_val: 0.0 + } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/Select_2_grad/Select" - op: "Select" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_1_grad/Select/StackPopV2" - input: "gradients/bidirectional_rnn/bw/bw/while/Merge_4_grad/tuple/control_dependency_1" - input: "gradients/bidirectional_rnn/bw/bw/while/Select_2_grad/zeros_like" - device: "/replica:0/task:0/device:GPU:0" + name: "dense/bias/Adam" + op: "VarHandleOp" attr { - key: "T" + key: "_class" value { - type: DT_FLOAT + list { + s: "loc:@dense/bias" + } } } attr { @@ -62033,70 +59475,55 @@ node { value { list { shape { - dim { - size: -1 - 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"Adam/update_embeddings/sub_1" attr { - key: "_class" + key: "T" value { - list { - s: "loc:@bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/Floor" - } + type: DT_FLOAT } } attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - } + s: "loc:@embeddings" } } } attr { - key: "dtype" - value { - type: DT_INT32 - } - } - attr { - key: "value" + key: "_output_shapes" value { - tensor { - dtype: DT_INT32 - tensor_shape { + list { + shape { } - int_val: -1 } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul/Const" - device: "/replica:0/task:0/device:GPU:0" + name: "Adam/update_embeddings/sub_2/x" + op: "Const" attr { key: "_class" value { list { - s: "loc:@bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/Floor" + s: "loc:@embeddings" } } } @@ -63151,81 +60467,76 @@ 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attr { - key: "parallel_iterations" + key: "_output_shapes" value { - i: 32 + list { + shape { + } + } } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul/Enter" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/Floor" - input: "^gradients/Add" - device: "/replica:0/task:0/device:GPU:0" + name: "Adam/update_embeddings/mul_1" + op: "Mul" + input: "Adam/update_embeddings/UnsortedSegmentSum" + input: "Adam/update_embeddings/sub_2" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_class" + value { + list { + s: "loc:@embeddings" + } + } + } attr { key: "_output_shapes" value { @@ -63235,56 +60546,56 @@ node { size: -1 } dim { - size: 128 + size: 8 } } } } } - attr { - key: "swap_memory" - value { - b: false - } - } } node { - name: 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"Adam/beta1" attr { key: "T" value { - type: DT_RESOURCE + type: DT_FLOAT + } + } + attr { + key: "_class" + value { + list { + s: "loc:@embeddings" + } } } attr { @@ -63293,47 +60604,47 @@ node { list { shape { dim { - size: 2 + size: 74 + } + dim { + size: 8 } } } } } +} +node { + name: "Adam/update_embeddings/AssignVariableOp" + op: "AssignVariableOp" + input: "embeddings/Adam" + input: "Adam/update_embeddings/mul_2" attr { - key: "frame_name" - value { - s: "gradients/bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "_class" value { - b: true + list { + s: "loc:@embeddings" + } } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Sum" - op: "Sum" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul" - input: 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"dtype" + value { + type: DT_FLOAT + } + } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1" + name: "Adam/update_embeddings/mul_3" op: "Mul" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/Select_grad/tuple/control_dependency_1" - device: "/replica:0/task:0/device:GPU:0" + input: "Adam/update_embeddings/UnsortedSegmentSum" + input: "Adam/update_embeddings/UnsortedSegmentSum" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_class" + value { + list { + s: "loc:@embeddings" + } + } + } attr { key: "_output_shapes" value { @@ -63408,7 +60753,7 @@ node { size: -1 } dim { - size: 128 + size: 8 } } } @@ -63416,14 +60761,13 @@ node { } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/Const" + name: "Adam/update_embeddings/sub_3/x" op: "Const" - device: 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} @@ -63472,35 +60822,28 @@ node { value { list { shape { - dim { - size: 2 - } } } } } +} +node { + name: "Adam/update_embeddings/mul_4" + op: "Mul" + input: "Adam/update_embeddings/mul_3" + input: "Adam/update_embeddings/sub_3" attr { - key: "elem_type" + key: "T" value { type: DT_FLOAT } } attr { - key: "stack_name" - value { - s: "" - } - } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/Enter" - op: "Enter" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/f_acc" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "T" + key: "_class" value { - type: DT_RESOURCE + list { + s: "loc:@embeddings" + } } } attr { @@ -63509,103 +60852,108 @@ node { list { shape { dim { - size: 2 + size: -1 + } + dim { + size: 8 } } } } } +} +node { + name: "Adam/update_embeddings/ReadVariableOp_5" + op: "ReadVariableOp" + input: "embeddings/Adam_1" attr { - key: "frame_name" - value { - s: "bidirectional_rnn/fw/fw/while/while_context" - } - } - attr { - key: "is_constant" + key: "_output_shapes" value { - b: true + list { + shape { + dim { + size: 74 + } + dim { + size: 8 + } + } + } } } attr { - key: "parallel_iterations" + key: "dtype" value { - i: 32 + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/Enter" - input: "bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/div" - input: "^gradients/Add" - device: "/replica:0/task:0/device:GPU:0" + name: "Adam/update_embeddings/mul_5" + op: "Mul" + input: "Adam/update_embeddings/ReadVariableOp_5" + input: "Adam/beta2" attr { key: "T" value { type: DT_FLOAT } } + attr { + key: "_class" + value { + list { + s: "loc:@embeddings" + } + } + } attr { key: "_output_shapes" value { list { shape { dim { - size: -1 + size: 74 } dim { - size: 128 + size: 8 } } } } } - attr { - key: "swap_memory" - value { - b: false - } - } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/StackPopV2" - op: "StackPopV2" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/StackPopV2/Enter" - input: "^gradients/Sub" - device: "/replica:0/task:0/device:GPU:0" + name: "Adam/update_embeddings/AssignVariableOp_1" + op: "AssignVariableOp" + input: "embeddings/Adam_1" + input: "Adam/update_embeddings/mul_5" attr { - key: "_output_shapes" + key: "_class" value { list { - shape { - dim { - size: -1 - } - dim { - size: 128 - } - } + s: "loc:@embeddings" } } } attr { - key: "elem_type" + key: "dtype" value { type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1/StackPopV2/Enter" - op: "Enter" - input: 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"parallel_iterations" + key: "_class" value { - i: 32 + list { + s: "loc:@embeddings" + } } } -} -node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Sum_1" - op: "Sum" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Mul_1" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/BroadcastGradientArgs:1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "dtype" value { type: DT_FLOAT } } - attr { - key: "Tidx" - value { - type: DT_INT32 - } - } +} +node { + name: "Adam/update_embeddings/ReadVariableOp_7" + op: "ReadVariableOp" + input: "embeddings/Adam_1" + input: "^Adam/update_embeddings/AssignVariableOp_1" + input: "^Adam/update_embeddings/ResourceScatterAdd_1" attr { key: "_output_shapes" value { list { shape { - unknown_rank: true + dim { + size: 74 + } + dim { + size: 8 + } } } } } attr { - key: "keep_dims" + key: "dtype" value { - b: false + type: DT_FLOAT } } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Reshape_1" - op: "Reshape" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/Sum_1" - input: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/BroadcastGradientArgs/StackPopV2_1" - device: "/replica:0/task:0/device:GPU:0" + name: "Adam/update_embeddings/Sqrt_1" + op: "Sqrt" + input: "Adam/update_embeddings/ReadVariableOp_7" attr { key: "T" value { @@ -63687,9 +61045,11 @@ node { } } attr { - key: "Tshape" + key: "_class" value { - type: DT_INT32 + list { + s: "loc:@embeddings" + } } } attr { @@ -63698,10 +61058,10 @@ node { list { shape { dim { - size: -1 + size: 74 } dim { - size: 128 + size: 8 } } } @@ -63709,18 +61069,10 @@ node { } } node { - name: "gradients/bidirectional_rnn/fw/fw/while/fw/multi_rnn_cell/cell_2/dropout_1/mul_grad/tuple/group_deps" - op: "NoOp" - input: 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{ - type: DT_FLOAT + type: DT_INT64 } } +} +node { + name: "loss/tags" + op: "Const" attr { key: "_output_shapes" value { list { shape { - dim { - size: 2 - } } } } } attr { - key: "out_type" + key: "dtype" value { - type: DT_INT32 + type: DT_STRING + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_STRING + tensor_shape { + } + string_val: "loss" + } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_0/dropout/mul_grad/Shape_1" - op: "Shape" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_0/dropout/Floor" - device: "/replica:0/task:0/device:GPU:0" + name: "loss" + op: "ScalarSummary" + input: "loss/tags" + input: "softmax_cross_entropy_loss/value" attr { key: "T" value { @@ -66803,62 +63765,169 @@ node { value { list { shape { - dim { - size: 2 - } } } } } +} +node { + name: "init" + op: "NoOp" + input: "^beta1_power/Assign" + input: "^beta2_power/Assign" + input: 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value { - list { - s: "loc:@bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/Floor" - } + i: 0 } } +} +node { + name: "report_uninitialized_variables/boolean_mask/concat/axis" + op: "Const" + device: "/device:CPU:0" attr { key: "_output_shapes" value { @@ -68592,58 +66065,35 @@ node { dtype: DT_INT32 tensor_shape { } - int_val: -1 + int_val: 0 } } } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Mul/f_acc" - op: "StackV2" - input: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Mul/Const" - device: "/replica:0/task:0/device:GPU:0" - attr { - key: "_class" - value { - list { - s: "loc:@bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/Floor" - } - } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 2 - } - } - } - } - } + name: "report_uninitialized_variables/boolean_mask/concat" + op: "ConcatV2" + input: 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"report_uninitialized_variables/Const" + input: "report_uninitialized_variables/boolean_mask/concat" + device: "/device:CPU:0" attr { - key: "frame_name" - value { - s: "bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" + key: "T" value { - i: 32 + type: DT_STRING } } -} -node { - name: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Mul/StackPushV2" - op: "StackPushV2" - input: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Mul/Enter" - input: "bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/Floor" - input: "^gradients/Add_1" - device: "/replica:0/task:0/device:GPU:0" attr { - key: "T" + key: "Tshape" value { - type: DT_FLOAT + type: DT_INT32 } } attr { @@ -68696,106 +66133,64 @@ node { list { shape { dim { - size: -1 - } - dim { - size: 128 + size: 84 } } } } } - attr { - key: "swap_memory" - value { - 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key: "_output_shapes" + key: "value" value { - list { - shape { + tensor { + dtype: DT_INT32 + tensor_shape { dim { - size: 2 + size: 1 } } + int_val: -1 } } } - attr { - key: "frame_name" - value { - s: "gradients/bidirectional_rnn/bw/bw/while/while_context" - } - } - attr { - key: "is_constant" - value { - b: true - } - } - attr { - key: "parallel_iterations" - value { - i: 32 - } - } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Sum" - op: "Sum" - input: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Mul" - input: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/BroadcastGradientArgs" - device: "/replica:0/task:0/device:GPU:0" + name: "report_uninitialized_variables/boolean_mask/Reshape_1" + op: "Reshape" + input: "report_uninitialized_variables/LogicalNot" + input: "report_uninitialized_variables/boolean_mask/Reshape_1/shape" + device: "/device:CPU:0" attr { key: "T" value { - type: DT_FLOAT + type: DT_BOOL } } attr { - key: "Tidx" + key: "Tshape" value { type: DT_INT32 } @@ -68805,34 +66200,23 @@ node { value { list { shape { - unknown_rank: true + dim { + size: 84 + } } } } } - attr { - key: "keep_dims" - value { - b: false - } - } } node { - name: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Reshape" - op: "Reshape" - input: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/Sum" - input: "gradients/bidirectional_rnn/bw/bw/while/bw/multi_rnn_cell/cell_1/dropout/mul_grad/BroadcastGradientArgs/StackPopV2" - device: "/replica:0/task:0/device:GPU:0" + name: "report_uninitialized_variables/boolean_mask/Where" + op: "Where" + input: "report_uninitialized_variables/boolean_mask/Reshape_1" + device: "/device:CPU:0" attr { key: "T" value { - type: DT_FLOAT - } - } - attr { - key: "Tshape" - value { - type: DT_INT32 + type: DT_BOOL } } attr { @@ -68844,7 +66228,7 @@ node { 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-} -node { - name: "save/Identity_325" - op: "Identity" - input: "save/Identity_324" - device: "/replica:0/task:0/device:CPU:0" - attr { - key: "T" - value { - type: DT_FLOAT + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_1_mul_1_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout_1/Mul_1_grad/Mul/TensorListPopBack:output_handle:0" } - } - attr { - key: "_output_shapes" - value { - list { - shape { - dim { - size: 128 + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_1_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout_1/Mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_1_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_1_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_1_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_dropout_mul_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/dropout/Mul_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_add_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/add_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_add_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/add_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_concat_1_grad_shapen_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/concat_1_grad/ShapeN/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_concat_1_grad_shapen_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/concat_1_grad/ShapeN/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_matmul_1_grad_matmul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/MatMul_1_grad/MatMul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_matmul_1_grad_matmul_fw_multi_rnn_cell_cell_0_gru_cell_matmul_1_bidirectional_rnn_fw_multi_rnn_cell_cell_0_gru_cell_candidate_kernel_read_identity" + value: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_matmul_1_grad_matmul_fw_multi_rnn_cell_cell_0_gru_cell_matmul_1_bidirectional_rnn_fw_multi_rnn_cell_cell_0_gru_cell_candidate_kernel_read_identity_0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_matmul_grad_matmul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/MatMul_grad/MatMul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_matmul_grad_matmul_fw_multi_rnn_cell_cell_0_gru_cell_matmul_bidirectional_rnn_fw_multi_rnn_cell_cell_0_gru_cell_gates_kernel_read_identity" + value: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_matmul_grad_matmul_fw_multi_rnn_cell_cell_0_gru_cell_matmul_bidirectional_rnn_fw_multi_rnn_cell_cell_0_gru_cell_gates_kernel_read_identity_0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_2_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_2_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_2_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_2_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_2_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_2_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_2_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_2_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_mul_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/mul_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_sigmoid_grad_sigmoidgrad_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/Sigmoid_grad/SigmoidGrad/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_0_gru_cell_sub_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_0/gru_cell/sub_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_1_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout_1/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_1_mul_1_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout_1/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_1_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout_1/Mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_1_mul_1_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout_1/Mul_1_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_1_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout_1/Mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_1_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_1_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_1_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_dropout_mul_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/dropout/Mul_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_add_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/add_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_add_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/add_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_concat_1_grad_shapen_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/concat_1_grad/ShapeN/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_concat_1_grad_shapen_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/concat_1_grad/ShapeN/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_matmul_1_grad_matmul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/MatMul_1_grad/MatMul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_matmul_1_grad_matmul_fw_multi_rnn_cell_cell_1_gru_cell_matmul_1_bidirectional_rnn_fw_multi_rnn_cell_cell_1_gru_cell_candidate_kernel_read_identity" + value: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_matmul_1_grad_matmul_fw_multi_rnn_cell_cell_1_gru_cell_matmul_1_bidirectional_rnn_fw_multi_rnn_cell_cell_1_gru_cell_candidate_kernel_read_identity_0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_matmul_grad_matmul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/MatMul_grad/MatMul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_matmul_grad_matmul_fw_multi_rnn_cell_cell_1_gru_cell_matmul_bidirectional_rnn_fw_multi_rnn_cell_cell_1_gru_cell_gates_kernel_read_identity" + value: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_matmul_grad_matmul_fw_multi_rnn_cell_cell_1_gru_cell_matmul_bidirectional_rnn_fw_multi_rnn_cell_cell_1_gru_cell_gates_kernel_read_identity_0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_2_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_2_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_2_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_2_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_2_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_2_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_2_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_2_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_mul_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/mul_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_sigmoid_grad_sigmoidgrad_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/Sigmoid_grad/SigmoidGrad/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_1_gru_cell_sub_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_1/gru_cell/sub_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_1_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout_1/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_1_mul_1_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout_1/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_1_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout_1/Mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_1_mul_1_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout_1/Mul_1_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_1_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout_1/Mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_1_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_1_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_1_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_1_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_1_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_1_grad_mul_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_1_grad/Mul/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_dropout_mul_grad_mul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/dropout/Mul_grad/Mul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_add_grad_broadcastgradientargs_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/gru_cell/add_grad/BroadcastGradientArgs/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_add_grad_broadcastgradientargs_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_2/gru_cell/add_grad/BroadcastGradientArgs/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_concat_1_grad_shapen_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/gru_cell/concat_1_grad/ShapeN/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_concat_1_grad_shapen_tensorlistpopback_1" + value: "gradients/fw/multi_rnn_cell/cell_2/gru_cell/concat_1_grad/ShapeN/TensorListPopBack_1:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_matmul_1_grad_matmul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/gru_cell/MatMul_1_grad/MatMul_1/TensorListPopBack:output_handle:0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_matmul_1_grad_matmul_fw_multi_rnn_cell_cell_2_gru_cell_matmul_1_bidirectional_rnn_fw_multi_rnn_cell_cell_2_gru_cell_candidate_kernel_read_identity" + value: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_matmul_1_grad_matmul_fw_multi_rnn_cell_cell_2_gru_cell_matmul_1_bidirectional_rnn_fw_multi_rnn_cell_cell_2_gru_cell_candidate_kernel_read_identity_0" + } + ret { + key: "gradients_fw_multi_rnn_cell_cell_2_gru_cell_matmul_grad_matmul_1_tensorlistpopback" + value: "gradients/fw/multi_rnn_cell/cell_2/gru_cell/MatMul_grad/MatMul_1/TensorListPopBack:output_handle:0" + } + ret { + key: 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+ attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 80 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 81 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 82 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 83 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 84 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 85 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 86 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 128 + } + } } - shape { + } + } + } + } + arg_attr { + key: 87 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 88 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } - shape { + } + } + } + } + arg_attr { + key: 89 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } } } } } - attr { - key: "num_sparse" - value { - i: 0 + } + arg_attr { + key: 90 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } } } - attr { - key: "sparse_keys" - value { - list { + } + arg_attr { + key: 91 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } } } } - attr { - key: "sparse_types" - value { - list { + } + arg_attr { + key: 92 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } } } } } - ret { - key: "parsesingleexample_parsesingleexample" - value: "ParseSingleExample/ParseSingleExample:dense_values:0" + arg_attr { + key: 93 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 256 + } + dim { + size: 256 + } + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_0" - value: "ParseSingleExample/ParseSingleExample:dense_values:1" + arg_attr { + key: 94 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_1" - value: "ParseSingleExample/ParseSingleExample:dense_values:2" + arg_attr { + key: 95 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_10" - value: "ParseSingleExample/ParseSingleExample:dense_values:11" + arg_attr { + key: 96 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_11" - value: "ParseSingleExample/ParseSingleExample:dense_values:12" + arg_attr { + key: 97 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_12" - value: "ParseSingleExample/ParseSingleExample:dense_values:13" + arg_attr { + key: 98 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_13" - value: "ParseSingleExample/ParseSingleExample:dense_values:14" + arg_attr { + key: 99 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_14" - value: "ParseSingleExample/ParseSingleExample:dense_values:15" + arg_attr { + key: 100 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_15" - value: "ParseSingleExample/ParseSingleExample:dense_values:16" + arg_attr { + key: 101 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_16" - value: "ParseSingleExample/ParseSingleExample:dense_values:17" + arg_attr { + key: 102 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_17" - value: "ParseSingleExample/ParseSingleExample:dense_values:18" + arg_attr { + key: 103 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_18" - value: "ParseSingleExample/ParseSingleExample:dense_values:19" + arg_attr { + key: 104 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_19" - value: "ParseSingleExample/ParseSingleExample:dense_values:20" + arg_attr { + key: 105 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_2" - value: "ParseSingleExample/ParseSingleExample:dense_values:3" + arg_attr { + key: 106 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_20" - value: "ParseSingleExample/ParseSingleExample:dense_values:21" + arg_attr { + key: 107 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_21" - value: "ParseSingleExample/ParseSingleExample:dense_values:22" + arg_attr { + key: 108 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_22" - value: "ParseSingleExample/ParseSingleExample:dense_values:23" + arg_attr { + key: 109 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 136 + } + dim { + size: 128 + } + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_23" - value: "ParseSingleExample/ParseSingleExample:dense_values:24" + arg_attr { + key: 110 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_24" - value: "ParseSingleExample/ParseSingleExample:dense_values:25" + arg_attr { + key: 111 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_3" - value: "ParseSingleExample/ParseSingleExample:dense_values:4" + arg_attr { + key: 112 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_4" - value: "ParseSingleExample/ParseSingleExample:dense_values:5" + arg_attr { + key: 113 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_5" - value: "ParseSingleExample/ParseSingleExample:dense_values:6" + arg_attr { + key: 114 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_6" - value: "ParseSingleExample/ParseSingleExample:dense_values:7" + arg_attr { + key: 115 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_7" - value: "ParseSingleExample/ParseSingleExample:dense_values:8" + arg_attr { + key: 116 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 136 + } + dim { + size: 256 + } + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_8" - value: "ParseSingleExample/ParseSingleExample:dense_values:9" + arg_attr { + key: 117 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } - ret { - key: "parsesingleexample_parsesingleexample_9" - value: "ParseSingleExample/ParseSingleExample:dense_values:10" + arg_attr { + key: 118 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } } } function { signature { - name: "tf_data_structured_function_wrapper_mwsbaX7Sr04" + name: "softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_is_valid_shape_true_1234" input_arg { - name: "arg0" - type: DT_STRING + name: "softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_is_scalar_0" + type: DT_BOOL } input_arg { - name: "arg1" - type: DT_INT64 + name: "placeholder" + type: DT_INT32 } input_arg { - name: "arg2" - type: DT_STRING + name: "placeholder_1" + type: DT_INT32 } input_arg { - name: "arg3" - type: DT_STRING + name: "placeholder_2" + type: DT_INT32 } input_arg { - name: "arg4" - type: DT_INT64 + name: "placeholder_3" + type: DT_INT32 } - input_arg { - name: "arg5" - type: DT_FLOAT + output_arg { + name: "softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_is_scalar" + type: DT_BOOL } - input_arg { - name: "arg6" - type: DT_INT64 + } + ret { + key: "softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_is_scalar" + value: "softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_is_scalar_0" + } + attr { + key: "_input_shapes" + value { + list { + shape { + } + shape { + } + shape { + } + shape { + dim { + size: 2 + } + } + shape { + dim { + size: 2 + } + } + } } - input_arg { - name: "arg7" - type: DT_STRING + } + arg_attr { + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } } - input_arg { - name: "arg8" - type: DT_STRING + } + arg_attr { + key: 1 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } } - input_arg { - name: "arg9" - type: DT_INT64 + } + arg_attr { + key: 2 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } } - input_arg { - name: "arg10" - type: DT_STRING + } + arg_attr { + key: 3 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } } - input_arg { - name: "arg11" - type: DT_FLOAT + } + arg_attr { + key: 4 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } } + } + } + function { + signature { + name: "softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_is_valid_shape_false_1235" input_arg { - name: "arg12" - type: DT_STRING + name: "placeholder" + type: DT_BOOL } input_arg { - name: "arg13" - type: DT_STRING + name: "has_valid_nonscalar_shape_is_same_rank_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_values_rank" + type: DT_INT32 } input_arg { - name: "arg14" - type: DT_STRING + name: "has_valid_nonscalar_shape_is_same_rank_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_weights_rank" + type: DT_INT32 } input_arg { - name: "arg15" - type: DT_INT64 + name: "has_valid_nonscalar_shape_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_values_shape" + type: DT_INT32 } input_arg { - name: "arg16" - type: DT_STRING + name: "has_valid_nonscalar_shape_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_weights_shape" + type: DT_INT32 } - input_arg { - name: "arg17" - type: DT_STRING + output_arg { + name: "has_valid_nonscalar_shape_identity" + type: DT_BOOL } - input_arg { - name: "arg18" - type: DT_INT64 + } + node_def { + name: "has_valid_nonscalar_shape/is_same_rank" + op: "Equal" + input: "has_valid_nonscalar_shape_is_same_rank_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_values_rank" + input: "has_valid_nonscalar_shape_is_same_rank_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_weights_rank" + attr { + key: "T" + value { + type: DT_INT32 + } } - input_arg { - name: "arg19" - type: DT_STRING + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } } - input_arg { - name: "arg20" - type: DT_STRING + attr { + key: "incompatible_shape_error" + value { + b: true + } } - input_arg { - name: "arg21" - type: DT_STRING + experimental_debug_info { + original_node_names: "has_valid_nonscalar_shape/is_same_rank" } - input_arg { - name: "arg22" - type: DT_INT64 + } + node_def { + name: "has_valid_nonscalar_shape" + op: "StatelessIf" + input: "has_valid_nonscalar_shape/is_same_rank:z:0" + input: "has_valid_nonscalar_shape_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_values_shape" + input: "has_valid_nonscalar_shape_softmax_cross_entropy_loss_num_present_broadcast_weights_assert_broadcastable_weights_shape" + input: "has_valid_nonscalar_shape/is_same_rank:z:0" + attr { + key: "Tcond" + value { + type: DT_BOOL + } } - input_arg { - name: "arg23" - type: DT_STRING + attr { + key: "Tin" + value { + list { + type: DT_INT32 + type: DT_INT32 + type: DT_BOOL + } + } } - input_arg { - name: "arg24" - type: DT_INT64 + attr { + key: "Tout" + value { + list { + type: DT_BOOL + } + } } - input_arg { - name: "arg25" - type: DT_INT64 + attr { + key: "_lower_using_switch_merge" + value { + b: true + } } - output_arg { - name: "pyfuncstateless" - type: DT_INT64 + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } } - output_arg { - name: "pyfuncstateless_0" - type: DT_INT64 + attr { + key: "_read_only_resource_inputs" + value { + list { + } + } } - output_arg { - name: "pyfuncstateless_1" - type: DT_BOOL + attr { + key: "else_branch" + value { + func { + name: "has_valid_nonscalar_shape_false_1243" + } + } } - description: "Wrapper for passing nested structures to and from tf.data functions." - } - node_def { - name: "PyFuncStateless" - op: "PyFuncStateless" - input: "arg0" - input: "arg13" - input: "arg12" - input: "arg14" - input: "arg2" - input: "arg3" - input: "arg7" - input: "arg8" - input: "arg16" - input: "arg17" - input: "arg19" - input: "arg20" - input: "arg23" - input: "arg10" - input: "arg21" - input: "arg1" - input: "arg6" - input: "arg15" - input: "arg18" - input: "arg4" - input: "arg9" - input: "arg25" - input: "arg24" - input: "arg22" - input: "arg5" - input: "arg11" - device: "/device:CPU:0" attr { - key: "Tin" + key: "output_shapes" value { list { - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_STRING - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_INT64 - type: DT_FLOAT - type: DT_FLOAT + shape { + } } } } attr { - key: "Tout" + key: "then_branch" value { - list { - type: DT_INT64 - type: DT_INT64 - type: DT_BOOL + func { + name: "has_valid_nonscalar_shape_true_1242" } } } + experimental_debug_info { + original_node_names: "has_valid_nonscalar_shape" + } + } + node_def { + name: "has_valid_nonscalar_shape/Identity" + op: "Identity" + input: "has_valid_nonscalar_shape:output:0" attr { - key: "token" + key: "T" value { - s: "pyfunc_0" + type: DT_BOOL + } + } + attr { + key: "_output_shapes" + value { + list { + shape { + } + } } } + experimental_debug_info { + original_node_names: "has_valid_nonscalar_shape/Identity" + } } ret { - key: "pyfuncstateless" - value: "PyFuncStateless:output:0" + key: "has_valid_nonscalar_shape_identity" + value: "has_valid_nonscalar_shape/Identity:output:0" } - ret { - key: "pyfuncstateless_0" - value: "PyFuncStateless:output:1" + attr { + key: "_input_shapes" + value { + list { + shape { + } + shape { + } + shape { + } + shape { + dim { + size: 2 + } + } + shape { + dim { + size: 2 + } + } + } + } } - ret { - key: "pyfuncstateless_1" - value: "PyFuncStateless:output:2" + arg_attr { + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + } + arg_attr { + key: 1 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + } + arg_attr { + key: 2 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + } + } + } + } + } + } + arg_attr { + key: 3 + value { + attr { + key: "_output_shapes" + value { + list { + shape { + dim { + size: 2 + } + } + } + } + } + } + } + arg_attr { + key: 4 + value { + attr { + key: "_output_shapes" + 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