From 425d1e98a63028af0a7ff647e4b5ea43464a02a2 Mon Sep 17 00:00:00 2001 From: zeshengzong Date: Mon, 6 Jan 2025 20:31:30 +0800 Subject: [PATCH 1/2] Add inductor_windows_cpu.rst --- index.rst | 5 +- prototype_source/inductor_windows_cpu.rst | 130 ++++++++++++++++++++++ 2 files changed, 131 insertions(+), 4 deletions(-) create mode 100644 prototype_source/inductor_windows_cpu.rst diff --git a/index.rst b/index.rst index b1c1f39..2129ac0 100644 --- a/index.rst +++ b/index.rst @@ -5,10 +5,7 @@ * `Compiled Autograd: 为 torch.compile 捕获更大的后向图 `__ * `通过区域编译减少 torch.compile 冷启动编译时间 `__ -* `使用 Tensor Parallel (TP) 进行大规模 Transformer 模型训练 `__ -* `利用半结构化(2:4)稀疏性加速 BERT `__ -* `torch.export 教程 `__ -* `nn.Module 中 load_state_dict 和张量子类的扩展点 `__ +* `如何在 Windows CPU 上使用 TorchInductor `__ .. raw:: html diff --git a/prototype_source/inductor_windows_cpu.rst b/prototype_source/inductor_windows_cpu.rst new file mode 100644 index 0000000..4fc455a --- /dev/null +++ b/prototype_source/inductor_windows_cpu.rst @@ -0,0 +1,130 @@ +如何在 Windows CPU 上使用 TorchInductor +======================================= + +**Author**: `Zhaoqiong Zheng `_, `Xu, Han `_ + + + +TorchInductor 是一个编译器后端，它将 TorchDynamo 生成的 FX 图转换为高度优化的 C++/Triton 内核。 +本教程将指导在 Windows CPU 上使用 TorchInductor。 + +.. grid:: 2 + + .. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn + :class-card: card-prerequisites + + * 如何在 Windows CPU 上编译和执行使用 PyTorch 的 Python 函数 + * TorchInductor 使用 C++/Triton 内核进行优化的基础知识 + + .. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites + :class-card: card-prerequisites + + * PyTorch v2.5 或更高版本 + * Microsoft Visual C++ (MSVC) + * Windows 版 Miniforge + +安装所需软件 +----------------------------- + +首先，让我们安装所需的软件。TorchInductor 优化需要 C++ 编译器。 +在本示例中，我们将使用 Microsoft Visual C++ (MSVC)。 + +1. 下载并安装 `MSVC `_。 + +2. 在安装过程中，在 **工作负载** 表中的 **桌面和移动** 部分选择 **使用 C++ 进行桌面开发**。然后安装软件。 + +.. note:: + + 我们推荐使用 C++ 编译器 `Clang `_ 和 `Intel 编译器 `_。 + 请查看 `更高性能的替代编译器 <#alternative-compiler-for-better-performance>`_。 + +3. 下载并安装 `Miniforge3-Windows-x86_64.exe `__。 + + +设置环境 +---------------------- + +#. 通过 ``cmd.exe`` 打开命令行环境。 +#. 使用以下命令激活 ``MSVC``: + + .. code-block:: sh + + "C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Auxiliary/Build/vcvars64.bat" +#. 使用以下命令激活 ``conda``: + + .. code-block:: sh + + "C:/ProgramData/miniforge3/Scripts/activate.bat" +#. 创建并激活conda环境: + + .. code-block:: sh + + conda create -n inductor_cpu_windows python=3.10 -y + conda activate inductor_cpu_windows + +#. 安装 `PyTorch 2.5 `_ 或更新版本。 + +在 Windows CPU 上使用 TorchInductor +---------------------------------- + +这里有一个简单的例子来演示如何使用 TorchInductor： + +.. code-block:: python + + + import torch + def foo(x, y): + a = torch.sin(x) + b = torch.cos(y) + return a + b + opt_foo1 = torch.compile(foo) + print(opt_foo1(torch.randn(10, 10), torch.randn(10, 10))) + +以下是此代码可能返回的示例输出： + +.. code-block:: sh + + tensor([[-3.9074e-02, 1.3994e+00, 1.3894e+00, 3.2630e-01, 8.3060e-01, + 1.1833e+00, 1.4016e+00, 7.1905e-01, 9.0637e-01, -1.3648e+00], + [ 1.3728e+00, 7.2863e-01, 8.6888e-01, -6.5442e-01, 5.6790e-01, + 5.2025e-01, -1.2647e+00, 1.2684e+00, -1.2483e+00, -7.2845e-01], + [-6.7747e-01, 1.2028e+00, 1.1431e+00, 2.7196e-02, 5.5304e-01, + 6.1945e-01, 4.6654e-01, -3.7376e-01, 9.3644e-01, 1.3600e+00], + [-1.0157e-01, 7.7200e-02, 1.0146e+00, 8.8175e-02, -1.4057e+00, + 8.8119e-01, 6.2853e-01, 3.2773e-01, 8.5082e-01, 8.4615e-01], + [ 1.4140e+00, 1.2130e+00, -2.0762e-01, 3.3914e-01, 4.1122e-01, + 8.6895e-01, 5.8852e-01, 9.3310e-01, 1.4101e+00, 9.8318e-01], + [ 1.2355e+00, 7.9290e-02, 1.3707e+00, 1.3754e+00, 1.3768e+00, + 9.8970e-01, 1.1171e+00, -5.9944e-01, 1.2553e+00, 1.3394e+00], + [-1.3428e+00, 1.8400e-01, 1.1756e+00, -3.0654e-01, 9.7973e-01, + 1.4019e+00, 1.1886e+00, -1.9194e-01, 1.3632e+00, 1.1811e+00], + [-7.1615e-01, 4.6622e-01, 1.2089e+00, 9.2011e-01, 1.0659e+00, + 9.0892e-01, 1.1932e+00, 1.3888e+00, 1.3898e+00, 1.3218e+00], + [ 1.4139e+00, -1.4000e-01, 9.1192e-01, 3.0175e-01, -9.6432e-01, + -1.0498e+00, 1.4115e+00, -9.3212e-01, -9.0964e-01, 1.0127e+00], + [ 5.7244e-04, 1.2799e+00, 1.3595e+00, 1.0907e+00, 3.7191e-01, + 1.4062e+00, 1.3672e+00, 6.8502e-02, 8.5216e-01, 8.6046e-01]]) + +使用替代编译器以获得更好的性能 +------------------------------------------- + +为了提高 Windows Inductor 的性能，您可以使用 Intel 编译器或 LLVM 编译器。然而，它们依赖于 Microsoft Visual C++ (MSVC) 的运行时库。因此，您的第一步应该是安装 MSVC。 + +Intel 编译器 +^^^^^^^^^^^^^ + +#. 下载并安装 `Intel 编译器 `_ 的 Windows 版本。 +#. 使用 CXX 环境变量 ``set CXX=icx-cl`` 设置 Windows Inductor 编译器。 + +Intel 还提供了一个全面的分步指南，包含性能数据。请查看 `Intel® oneAPI DPC++/C++ Compiler Boosts PyTorch* Inductor Performance on Windows* for CPU Devices `_。 + +LLVM 编译器 +^^^^^^^^^^^^^ + +#. 下载并安装 `LLVM 编译器 `_ 并选择 win64 版本。 +#. 使用 CXX 环境变量 ``set CXX=clang-cl`` 设置 Windows Inductor 编译器。 + +结论 +---------- + +在本教程中，我们学习了如何在 Windows CPU 上使用 PyTorch 的 Inductor。此外，我们还讨论了使用 Intel 编译器和 LLVM 编译器进一步提高性能的方法。 \ No newline at end of file From 40a5584bb323e01044c4b57c11fa11e5b278e94e Mon 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`Compiled Autograd: 为 torch.compile 捕获更大的后向图 `__ * `通过区域编译减少 torch.compile 冷启动编译时间 `__ -* `使用 Tensor Parallel (TP) 进行大规模 Transformer 模型训练 `__ -* `利用半结构化(2:4)稀疏性加速 BERT `__ -* `torch.export 教程 `__ -* `nn.Module 中 load_state_dict 和张量子类的扩展点 `__ +* `如何在 Windows CPU 上使用 TorchInductor `__ .. raw:: html diff --git a/docs/_sources/prototype/inductor_windows_cpu.rst.txt b/docs/_sources/prototype/inductor_windows_cpu.rst.txt new file mode 100644 index 0000000..4fc455a --- /dev/null +++ b/docs/_sources/prototype/inductor_windows_cpu.rst.txt @@ -0,0 +1,130 @@ +如何在 Windows CPU 上使用 TorchInductor +======================================= + +**Author**: `Zhaoqiong Zheng `_, `Xu, Han `_ + + + +TorchInductor 是一个编译器后端，它将 TorchDynamo 生成的 FX 图转换为高度优化的 C++/Triton 内核。 +本教程将指导在 Windows CPU 上使用 TorchInductor。 + +.. grid:: 2 + + .. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn + :class-card: card-prerequisites + + * 如何在 Windows CPU 上编译和执行使用 PyTorch 的 Python 函数 + * TorchInductor 使用 C++/Triton 内核进行优化的基础知识 + + .. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites + :class-card: card-prerequisites + + * PyTorch v2.5 或更高版本 + * Microsoft Visual C++ (MSVC) + * Windows 版 Miniforge + +安装所需软件 +----------------------------- + +首先，让我们安装所需的软件。TorchInductor 优化需要 C++ 编译器。 +在本示例中，我们将使用 Microsoft Visual C++ (MSVC)。 + +1. 下载并安装 `MSVC `_。 + +2. 在安装过程中，在 **工作负载** 表中的 **桌面和移动** 部分选择 **使用 C++ 进行桌面开发**。然后安装软件。 + +.. note:: + + 我们推荐使用 C++ 编译器 `Clang `_ 和 `Intel 编译器 `_。 + 请查看 `更高性能的替代编译器 <#alternative-compiler-for-better-performance>`_。 + +3. 下载并安装 `Miniforge3-Windows-x86_64.exe `__。 + + +设置环境 +---------------------- + +#. 通过 ``cmd.exe`` 打开命令行环境。 +#. 使用以下命令激活 ``MSVC``: + + .. code-block:: sh + + "C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Auxiliary/Build/vcvars64.bat" +#. 使用以下命令激活 ``conda``: + + .. code-block:: sh + + "C:/ProgramData/miniforge3/Scripts/activate.bat" +#. 创建并激活conda环境: + + .. code-block:: sh + + conda create -n inductor_cpu_windows python=3.10 -y + conda activate inductor_cpu_windows + +#. 安装 `PyTorch 2.5 `_ 或更新版本。 + +在 Windows CPU 上使用 TorchInductor +---------------------------------- + +这里有一个简单的例子来演示如何使用 TorchInductor： + +.. code-block:: python + + + import torch + def foo(x, y): + a = torch.sin(x) + b = torch.cos(y) + return a + b + opt_foo1 = torch.compile(foo) + print(opt_foo1(torch.randn(10, 10), torch.randn(10, 10))) + +以下是此代码可能返回的示例输出： + +.. code-block:: sh + + tensor([[-3.9074e-02, 1.3994e+00, 1.3894e+00, 3.2630e-01, 8.3060e-01, + 1.1833e+00, 1.4016e+00, 7.1905e-01, 9.0637e-01, -1.3648e+00], + [ 1.3728e+00, 7.2863e-01, 8.6888e-01, -6.5442e-01, 5.6790e-01, + 5.2025e-01, -1.2647e+00, 1.2684e+00, -1.2483e+00, -7.2845e-01], + [-6.7747e-01, 1.2028e+00, 1.1431e+00, 2.7196e-02, 5.5304e-01, + 6.1945e-01, 4.6654e-01, -3.7376e-01, 9.3644e-01, 1.3600e+00], + [-1.0157e-01, 7.7200e-02, 1.0146e+00, 8.8175e-02, -1.4057e+00, + 8.8119e-01, 6.2853e-01, 3.2773e-01, 8.5082e-01, 8.4615e-01], + [ 1.4140e+00, 1.2130e+00, -2.0762e-01, 3.3914e-01, 4.1122e-01, + 8.6895e-01, 5.8852e-01, 9.3310e-01, 1.4101e+00, 9.8318e-01], + [ 1.2355e+00, 7.9290e-02, 1.3707e+00, 1.3754e+00, 1.3768e+00, + 9.8970e-01, 1.1171e+00, -5.9944e-01, 1.2553e+00, 1.3394e+00], + [-1.3428e+00, 1.8400e-01, 1.1756e+00, -3.0654e-01, 9.7973e-01, + 1.4019e+00, 1.1886e+00, -1.9194e-01, 1.3632e+00, 1.1811e+00], + [-7.1615e-01, 4.6622e-01, 1.2089e+00, 9.2011e-01, 1.0659e+00, + 9.0892e-01, 1.1932e+00, 1.3888e+00, 1.3898e+00, 1.3218e+00], + [ 1.4139e+00, -1.4000e-01, 9.1192e-01, 3.0175e-01, -9.6432e-01, + -1.0498e+00, 1.4115e+00, -9.3212e-01, -9.0964e-01, 1.0127e+00], + [ 5.7244e-04, 1.2799e+00, 1.3595e+00, 1.0907e+00, 3.7191e-01, + 1.4062e+00, 1.3672e+00, 6.8502e-02, 8.5216e-01, 8.6046e-01]]) + +使用替代编译器以获得更好的性能 +------------------------------------------- + +为了提高 Windows Inductor 的性能，您可以使用 Intel 编译器或 LLVM 编译器。然而，它们依赖于 Microsoft Visual C++ (MSVC) 的运行时库。因此，您的第一步应该是安装 MSVC。 + +Intel 编译器 +^^^^^^^^^^^^^ + +#. 下载并安装 `Intel 编译器 `_ 的 Windows 版本。 +#. 使用 CXX 环境变量 ``set CXX=icx-cl`` 设置 Windows Inductor 编译器。 + +Intel 还提供了一个全面的分步指南，包含性能数据。请查看 `Intel® oneAPI DPC++/C++ Compiler Boosts PyTorch* Inductor Performance on Windows* for CPU Devices `_。 + +LLVM 编译器 +^^^^^^^^^^^^^ + +#. 下载并安装 `LLVM 编译器 `_ 并选择 win64 版本。 +#. 使用 CXX 环境变量 ``set CXX=clang-cl`` 设置 Windows Inductor 编译器。 + +结论 +---------- + +在本教程中，我们学习了如何在 Windows CPU 上使用 PyTorch 的 Inductor。此外，我们还讨论了使用 Intel 编译器和 LLVM 编译器进一步提高性能的方法。 \ No newline at end of file diff --git a/docs/advanced/ONNXLive.html b/docs/advanced/ONNXLive.html index 1aae446..75e24d5 100644 --- a/docs/advanced/ONNXLive.html +++ b/docs/advanced/ONNXLive.html @@ -9,7 +9,7 @@ - ONNX Live Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + ONNX Live Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/coding_ddpg.html b/docs/advanced/coding_ddpg.html index 63936eb..4208d50 100644 --- a/docs/advanced/coding_ddpg.html +++ b/docs/advanced/coding_ddpg.html @@ -9,7 +9,7 @@ - TorchRL objectives: Coding a DDPG loss — PyTorch Tutorials 2.3.0+cu121 documentation + TorchRL objectives: Coding a DDPG loss — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/cpp_autograd.html b/docs/advanced/cpp_autograd.html index 8849753..c60c4c1 100644 --- a/docs/advanced/cpp_autograd.html +++ b/docs/advanced/cpp_autograd.html @@ -9,7 +9,7 @@ - Autograd in C++ Frontend — PyTorch Tutorials 2.3.0+cu121 documentation + Autograd in C++ Frontend — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/cpp_cuda_graphs.html b/docs/advanced/cpp_cuda_graphs.html index d09c4b5..5a91c4f 100644 --- a/docs/advanced/cpp_cuda_graphs.html +++ b/docs/advanced/cpp_cuda_graphs.html @@ -9,7 +9,7 @@ - Using CUDA Graphs in PyTorch C++ API — PyTorch Tutorials 2.3.0+cu121 documentation + Using CUDA Graphs in PyTorch C++ API — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/cpp_export.html b/docs/advanced/cpp_export.html index f405148..7267e79 100644 --- a/docs/advanced/cpp_export.html +++ b/docs/advanced/cpp_export.html @@ -9,7 +9,7 @@ - 在 C++ 中加载 TorchScript 模型 — PyTorch Tutorials 2.3.0+cu121 documentation + 在 C++ 中加载 TorchScript 模型 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/cpp_extension.html b/docs/advanced/cpp_extension.html index f1e769f..589637b 100644 --- a/docs/advanced/cpp_extension.html +++ b/docs/advanced/cpp_extension.html @@ -9,7 +9,7 @@ - Custom C++ and CUDA Extensions — PyTorch Tutorials 2.3.0+cu121 documentation + Custom C++ and CUDA Extensions — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/cpp_frontend.html b/docs/advanced/cpp_frontend.html index 001be20..8696301 100644 --- a/docs/advanced/cpp_frontend.html +++ b/docs/advanced/cpp_frontend.html @@ -9,7 +9,7 @@ - Using the PyTorch C++ Frontend — PyTorch Tutorials 2.3.0+cu121 documentation + Using the PyTorch C++ Frontend — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/ddp_pipeline.html b/docs/advanced/ddp_pipeline.html index 74101d0..7a2f89b 100644 --- a/docs/advanced/ddp_pipeline.html +++ b/docs/advanced/ddp_pipeline.html @@ -9,7 +9,7 @@ - Training Transformer models using Distributed Data Parallel and Pipeline Parallelism — PyTorch Tutorials 2.3.0+cu121 documentation + Training Transformer models using Distributed Data Parallel and Pipeline Parallelism — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/dispatcher.html b/docs/advanced/dispatcher.html index 48c8954..5597081 100644 --- a/docs/advanced/dispatcher.html +++ b/docs/advanced/dispatcher.html @@ -9,7 +9,7 @@ - Registering a Dispatched Operator in C++ — PyTorch Tutorials 2.3.0+cu121 documentation + Registering a Dispatched Operator in C++ — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/dynamic_quantization_tutorial.html b/docs/advanced/dynamic_quantization_tutorial.html index 9e9ed88..b24cc42 100644 --- a/docs/advanced/dynamic_quantization_tutorial.html +++ b/docs/advanced/dynamic_quantization_tutorial.html @@ -9,7 +9,7 @@ - (beta) Dynamic Quantization on an LSTM Word Language Model — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Dynamic Quantization on an LSTM Word Language Model — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/extend_dispatcher.html b/docs/advanced/extend_dispatcher.html index f48b722..27d9283 100644 --- a/docs/advanced/extend_dispatcher.html +++ b/docs/advanced/extend_dispatcher.html @@ -9,7 +9,7 @@ - Extending dispatcher for a new backend in C++ — PyTorch Tutorials 2.3.0+cu121 documentation + Extending dispatcher for a new backend in C++ — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/generic_join.html b/docs/advanced/generic_join.html index 49adb45..6c6d50f 100644 --- a/docs/advanced/generic_join.html +++ b/docs/advanced/generic_join.html @@ -9,7 +9,7 @@ - Distributed Training with Uneven Inputs Using the Join Context Manager — PyTorch Tutorials 2.3.0+cu121 documentation + Distributed Training with Uneven Inputs Using the Join Context Manager — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/neural_style_tutorial.html b/docs/advanced/neural_style_tutorial.html index e568c2a..2757064 100644 --- a/docs/advanced/neural_style_tutorial.html +++ b/docs/advanced/neural_style_tutorial.html @@ -9,7 +9,7 @@ - Neural Transfer Using PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + Neural Transfer Using PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/numpy_extensions_tutorial.html b/docs/advanced/numpy_extensions_tutorial.html index 1593859..c74fd0b 100644 --- a/docs/advanced/numpy_extensions_tutorial.html +++ b/docs/advanced/numpy_extensions_tutorial.html @@ -9,7 +9,7 @@ - Creating Extensions Using NumPy and SciPy — PyTorch Tutorials 2.3.0+cu121 documentation + Creating Extensions Using NumPy and SciPy — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/pendulum.html b/docs/advanced/pendulum.html index 2a2b8f5..93e0a99 100644 --- a/docs/advanced/pendulum.html +++ b/docs/advanced/pendulum.html @@ -9,7 +9,7 @@ - Pendulum：使用 TorchRL 编写环境和transforms — PyTorch Tutorials 2.3.0+cu121 documentation + Pendulum：使用 TorchRL 编写环境和transforms — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/privateuseone.html b/docs/advanced/privateuseone.html index 190ae2f..988074b 100644 --- a/docs/advanced/privateuseone.html +++ b/docs/advanced/privateuseone.html @@ -9,7 +9,7 @@ - Facilitating New Backend Integration by PrivateUse1 — PyTorch Tutorials 2.3.0+cu121 documentation + Facilitating New Backend Integration by PrivateUse1 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/rpc_ddp_tutorial.html b/docs/advanced/rpc_ddp_tutorial.html index b2e6c8a..a9955fc 100644 --- a/docs/advanced/rpc_ddp_tutorial.html +++ b/docs/advanced/rpc_ddp_tutorial.html @@ -9,7 +9,7 @@ - Combining Distributed DataParallel with Distributed RPC Framework — PyTorch Tutorials 2.3.0+cu121 documentation + Combining Distributed DataParallel with Distributed RPC Framework — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/semi_structured_sparse.html b/docs/advanced/semi_structured_sparse.html index ed4b9cd..97f77b4 100644 --- a/docs/advanced/semi_structured_sparse.html +++ b/docs/advanced/semi_structured_sparse.html @@ -9,7 +9,7 @@ - (beta) Accelerating BERT with semi-structured (2:4) sparsity — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Accelerating BERT with semi-structured (2:4) sparsity — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/sharding.html b/docs/advanced/sharding.html index af78a37..ee683be 100644 --- a/docs/advanced/sharding.html +++ b/docs/advanced/sharding.html @@ -9,7 +9,7 @@ - Exploring TorchRec sharding — PyTorch Tutorials 2.3.0+cu121 documentation + Exploring TorchRec sharding — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/static_quantization_tutorial.html b/docs/advanced/static_quantization_tutorial.html index 37cdf5f..dcd2293 100644 --- a/docs/advanced/static_quantization_tutorial.html +++ b/docs/advanced/static_quantization_tutorial.html @@ -9,7 +9,7 @@ - (beta) Static Quantization with Eager Mode in PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Static Quantization with Eager Mode in PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/super_resolution_with_onnxruntime.html b/docs/advanced/super_resolution_with_onnxruntime.html index d5738a5..4f823a1 100644 --- a/docs/advanced/super_resolution_with_onnxruntime.html +++ b/docs/advanced/super_resolution_with_onnxruntime.html @@ -9,7 +9,7 @@ - (optional) PyTorch 模型导出到 ONNX 并使用 ONNX Runtime 运行 — PyTorch Tutorials 2.3.0+cu121 documentation + (optional) PyTorch 模型导出到 ONNX 并使用 ONNX Runtime 运行 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/torch-script-parallelism.html b/docs/advanced/torch-script-parallelism.html index 5dbb604..72d100d 100644 --- a/docs/advanced/torch-script-parallelism.html +++ b/docs/advanced/torch-script-parallelism.html @@ -9,7 +9,7 @@ - Dynamic Parallelism in TorchScript — PyTorch Tutorials 2.3.0+cu121 documentation + Dynamic Parallelism in TorchScript — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/torch_script_custom_classes.html b/docs/advanced/torch_script_custom_classes.html index dd7ab1f..7174ae1 100644 --- a/docs/advanced/torch_script_custom_classes.html +++ b/docs/advanced/torch_script_custom_classes.html @@ -9,7 +9,7 @@ - Extending TorchScript with Custom C++ Classes — PyTorch Tutorials 2.3.0+cu121 documentation + Extending TorchScript with Custom C++ Classes — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/torch_script_custom_ops.html b/docs/advanced/torch_script_custom_ops.html index 731e6ac..00754eb 100644 --- a/docs/advanced/torch_script_custom_ops.html +++ b/docs/advanced/torch_script_custom_ops.html @@ -9,7 +9,7 @@ - Extending TorchScript with Custom C++ Operators — PyTorch Tutorials 2.3.0+cu121 documentation + Extending TorchScript with Custom C++ Operators — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/advanced/usb_semisup_learn.html b/docs/advanced/usb_semisup_learn.html index 1cfb5b1..b1e0487 100644 --- a/docs/advanced/usb_semisup_learn.html +++ b/docs/advanced/usb_semisup_learn.html @@ -9,7 +9,7 @@ - Semi-Supervised Learning using USB built upon PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + Semi-Supervised Learning using USB built upon PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/Intro_to_TorchScript_tutorial.html b/docs/beginner/Intro_to_TorchScript_tutorial.html index 2904283..a53c41a 100644 --- a/docs/beginner/Intro_to_TorchScript_tutorial.html +++ b/docs/beginner/Intro_to_TorchScript_tutorial.html @@ -9,7 +9,7 @@ - TorchScript 介绍 — PyTorch Tutorials 2.3.0+cu121 documentation + TorchScript 介绍 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/audio_data_augmentation_tutorial.html b/docs/beginner/audio_data_augmentation_tutorial.html index 33950d5..35973eb 100644 --- a/docs/beginner/audio_data_augmentation_tutorial.html +++ b/docs/beginner/audio_data_augmentation_tutorial.html @@ -9,7 +9,7 @@ - 音频数据增强 — PyTorch Tutorials 2.3.0+cu121 documentation + 音频数据增强 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/audio_datasets_tutorial.html b/docs/beginner/audio_datasets_tutorial.html index 8abca30..7b18677 100644 --- a/docs/beginner/audio_datasets_tutorial.html +++ b/docs/beginner/audio_datasets_tutorial.html @@ -9,7 +9,7 @@ - 音频数据集 — PyTorch Tutorials 2.3.0+cu121 documentation + 音频数据集 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/audio_feature_augmentation_tutorial.html b/docs/beginner/audio_feature_augmentation_tutorial.html index 5b1ba4e..798c3e3 100644 --- a/docs/beginner/audio_feature_augmentation_tutorial.html +++ b/docs/beginner/audio_feature_augmentation_tutorial.html @@ -9,7 +9,7 @@ - 音频特征增强 — PyTorch Tutorials 2.3.0+cu121 documentation + 音频特征增强 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/audio_feature_extractions_tutorial.html b/docs/beginner/audio_feature_extractions_tutorial.html index fc13cc9..ea21d9d 100644 --- a/docs/beginner/audio_feature_extractions_tutorial.html +++ b/docs/beginner/audio_feature_extractions_tutorial.html @@ -9,7 +9,7 @@ - 音频特征提取 — PyTorch Tutorials 2.3.0+cu121 documentation + 音频特征提取 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/audio_io_tutorial.html b/docs/beginner/audio_io_tutorial.html index 31c5835..debd7b9 100644 --- a/docs/beginner/audio_io_tutorial.html +++ b/docs/beginner/audio_io_tutorial.html @@ -9,7 +9,7 @@ - 音频 I/O — PyTorch Tutorials 2.3.0+cu121 documentation + 音频 I/O — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/audio_resampling_tutorial.html b/docs/beginner/audio_resampling_tutorial.html index 8ad5f45..17a86d7 100644 --- a/docs/beginner/audio_resampling_tutorial.html +++ b/docs/beginner/audio_resampling_tutorial.html @@ -9,7 +9,7 @@ - Audio 重采样 — PyTorch Tutorials 2.3.0+cu121 documentation + Audio 重采样 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/autogradqs_tutorial.html b/docs/beginner/basics/autogradqs_tutorial.html index 5e65599..641b6e7 100644 --- a/docs/beginner/basics/autogradqs_tutorial.html +++ b/docs/beginner/basics/autogradqs_tutorial.html @@ -9,7 +9,7 @@ - 自动微分 — PyTorch Tutorials 2.3.0+cu121 documentation + 自动微分 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/buildmodel_tutorial.html b/docs/beginner/basics/buildmodel_tutorial.html index a65b67a..be15958 100644 --- a/docs/beginner/basics/buildmodel_tutorial.html +++ b/docs/beginner/basics/buildmodel_tutorial.html @@ -9,7 +9,7 @@ - 构建神经网络 — PyTorch Tutorials 2.3.0+cu121 documentation + 构建神经网络 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/data_tutorial.html b/docs/beginner/basics/data_tutorial.html index d9a2b99..30b4eff 100644 --- a/docs/beginner/basics/data_tutorial.html +++ b/docs/beginner/basics/data_tutorial.html @@ -9,7 +9,7 @@ - 数据集与数据加载器 — PyTorch Tutorials 2.3.0+cu121 documentation + 数据集与数据加载器 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/index.html b/docs/beginner/basics/index.html index a53af4d..2a039fa 100644 --- a/docs/beginner/basics/index.html +++ b/docs/beginner/basics/index.html @@ -9,7 +9,7 @@ - Learn the Basics — PyTorch Tutorials 2.3.0+cu121 documentation + Learn the Basics — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/intro.html b/docs/beginner/basics/intro.html index 4a948a0..9560d7c 100644 --- a/docs/beginner/basics/intro.html +++ b/docs/beginner/basics/intro.html @@ -9,7 +9,7 @@ - 基础知识 — PyTorch Tutorials 2.3.0+cu121 documentation + 基础知识 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/optimization_tutorial.html b/docs/beginner/basics/optimization_tutorial.html index 343616c..5f50ded 100644 --- a/docs/beginner/basics/optimization_tutorial.html +++ b/docs/beginner/basics/optimization_tutorial.html @@ -9,7 +9,7 @@ - 优化模型参数 — PyTorch Tutorials 2.3.0+cu121 documentation + 优化模型参数 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/quickstart_tutorial.html b/docs/beginner/basics/quickstart_tutorial.html index 8fbfed7..5309649 100644 --- a/docs/beginner/basics/quickstart_tutorial.html +++ b/docs/beginner/basics/quickstart_tutorial.html @@ -9,7 +9,7 @@ - 快速入门 — PyTorch Tutorials 2.3.0+cu121 documentation + 快速入门 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/saveloadrun_tutorial.html b/docs/beginner/basics/saveloadrun_tutorial.html index ebf159e..aa979d3 100644 --- a/docs/beginner/basics/saveloadrun_tutorial.html +++ b/docs/beginner/basics/saveloadrun_tutorial.html @@ -9,7 +9,7 @@ - 保存和加载模型 — PyTorch Tutorials 2.3.0+cu121 documentation + 保存和加载模型 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/tensorqs_tutorial.html b/docs/beginner/basics/tensorqs_tutorial.html index a6af676..9321b8a 100644 --- a/docs/beginner/basics/tensorqs_tutorial.html +++ b/docs/beginner/basics/tensorqs_tutorial.html @@ -9,7 +9,7 @@ - 张量 — PyTorch Tutorials 2.3.0+cu121 documentation + 张量 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/basics/transforms_tutorial.html b/docs/beginner/basics/transforms_tutorial.html index 5e640a7..e860276 100644 --- a/docs/beginner/basics/transforms_tutorial.html +++ b/docs/beginner/basics/transforms_tutorial.html @@ -9,7 +9,7 @@ - Transforms — PyTorch Tutorials 2.3.0+cu121 documentation + Transforms — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/bettertransformer_tutorial.html b/docs/beginner/bettertransformer_tutorial.html index a5aee91..b7c5421 100644 --- a/docs/beginner/bettertransformer_tutorial.html +++ b/docs/beginner/bettertransformer_tutorial.html @@ -9,7 +9,7 @@ - 使用 Better Transformer 进行快速 Transformer 推断 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 Better Transformer 进行快速 Transformer 推断 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/blitz/autograd_tutorial.html b/docs/beginner/blitz/autograd_tutorial.html index be68c5d..c21ba3a 100644 --- a/docs/beginner/blitz/autograd_tutorial.html +++ b/docs/beginner/blitz/autograd_tutorial.html @@ -9,7 +9,7 @@ - A Gentle Introduction to torch.autograd — PyTorch Tutorials 2.3.0+cu121 documentation + A Gentle Introduction to torch.autograd — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/blitz/cifar10_tutorial.html b/docs/beginner/blitz/cifar10_tutorial.html index eeec9ba..60a84ae 100644 --- a/docs/beginner/blitz/cifar10_tutorial.html +++ b/docs/beginner/blitz/cifar10_tutorial.html @@ -9,7 +9,7 @@ - Training a Classifier — PyTorch Tutorials 2.3.0+cu121 documentation + Training a Classifier — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/blitz/data_parallel_tutorial.html b/docs/beginner/blitz/data_parallel_tutorial.html index 5dcd6c6..a99baa9 100644 --- a/docs/beginner/blitz/data_parallel_tutorial.html +++ b/docs/beginner/blitz/data_parallel_tutorial.html @@ -9,7 +9,7 @@ - Optional: Data Parallelism — PyTorch Tutorials 2.3.0+cu121 documentation + Optional: Data Parallelism — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/blitz/index.html b/docs/beginner/blitz/index.html index 7d1b2f6..59dbec3 100644 --- a/docs/beginner/blitz/index.html +++ b/docs/beginner/blitz/index.html @@ -9,7 +9,7 @@ - Deep Learning with PyTorch: A 60 Minute Blitz — PyTorch Tutorials 2.3.0+cu121 documentation + Deep Learning with PyTorch: A 60 Minute Blitz — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/blitz/neural_networks_tutorial.html b/docs/beginner/blitz/neural_networks_tutorial.html index 9711da6..f16286e 100644 --- a/docs/beginner/blitz/neural_networks_tutorial.html +++ b/docs/beginner/blitz/neural_networks_tutorial.html @@ -9,7 +9,7 @@ - Neural Networks — PyTorch Tutorials 2.3.0+cu121 documentation + Neural Networks — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/blitz/tensor_tutorial.html b/docs/beginner/blitz/tensor_tutorial.html index 4855e87..0ced028 100644 --- a/docs/beginner/blitz/tensor_tutorial.html +++ b/docs/beginner/blitz/tensor_tutorial.html @@ -9,7 +9,7 @@ - Tensors — PyTorch Tutorials 2.3.0+cu121 documentation + Tensors — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/chatbot_tutorial.html b/docs/beginner/chatbot_tutorial.html index f47f44d..204f8f3 100644 --- a/docs/beginner/chatbot_tutorial.html +++ b/docs/beginner/chatbot_tutorial.html @@ -9,7 +9,7 @@ - Chatbot Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + Chatbot Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/colab.html b/docs/beginner/colab.html index cd2deca..febb2ad 100644 --- a/docs/beginner/colab.html +++ b/docs/beginner/colab.html @@ -9,7 +9,7 @@ - Running Tutorials in Google Colab — PyTorch Tutorials 2.3.0+cu121 documentation + Running Tutorials in Google Colab — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/data_loading_tutorial.html b/docs/beginner/data_loading_tutorial.html index 54c745a..02ead51 100644 --- a/docs/beginner/data_loading_tutorial.html +++ b/docs/beginner/data_loading_tutorial.html @@ -9,7 +9,7 @@ - Writing Custom Datasets, DataLoaders and Transforms — PyTorch Tutorials 2.3.0+cu121 documentation + Writing Custom Datasets, DataLoaders and Transforms — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/dcgan_faces_tutorial.html b/docs/beginner/dcgan_faces_tutorial.html index ef587d5..1c35915 100644 --- a/docs/beginner/dcgan_faces_tutorial.html +++ b/docs/beginner/dcgan_faces_tutorial.html @@ -9,7 +9,7 @@ - DCGAN 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + DCGAN 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/ddp_series_fault_tolerance.html b/docs/beginner/ddp_series_fault_tolerance.html index ad2112c..9bbaebc 100644 --- a/docs/beginner/ddp_series_fault_tolerance.html +++ b/docs/beginner/ddp_series_fault_tolerance.html @@ -9,7 +9,7 @@ - Fault-tolerant Distributed Training with torchrun — PyTorch Tutorials 2.3.0+cu121 documentation + Fault-tolerant Distributed Training with torchrun — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/ddp_series_intro.html b/docs/beginner/ddp_series_intro.html index 2913e7e..2cbf431 100644 --- a/docs/beginner/ddp_series_intro.html +++ b/docs/beginner/ddp_series_intro.html @@ -9,7 +9,7 @@ - PyTorch 分布式并行 - Video Tutorials — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 分布式并行 - Video Tutorials — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/ddp_series_multigpu.html b/docs/beginner/ddp_series_multigpu.html index 416e45d..303a140 100644 --- a/docs/beginner/ddp_series_multigpu.html +++ b/docs/beginner/ddp_series_multigpu.html @@ -9,7 +9,7 @@ - 使用 DDP 进行多 GPU 训练 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 DDP 进行多 GPU 训练 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/ddp_series_theory.html b/docs/beginner/ddp_series_theory.html index d212591..4f5757e 100644 --- a/docs/beginner/ddp_series_theory.html +++ b/docs/beginner/ddp_series_theory.html @@ -9,7 +9,7 @@ - What is Distributed Data Parallel (DDP) — PyTorch Tutorials 2.3.0+cu121 documentation + What is Distributed Data Parallel (DDP) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/deep_learning_60min_blitz.html b/docs/beginner/deep_learning_60min_blitz.html index 7fd4974..370ac84 100644 --- a/docs/beginner/deep_learning_60min_blitz.html +++ b/docs/beginner/deep_learning_60min_blitz.html @@ -9,7 +9,7 @@ - PyTorch 深度学习：60分钟入门 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 深度学习：60分钟入门 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/deeplabv3_on_android.html b/docs/beginner/deeplabv3_on_android.html index cf8ec5f..cc20c92 100644 --- a/docs/beginner/deeplabv3_on_android.html +++ b/docs/beginner/deeplabv3_on_android.html @@ -9,7 +9,7 @@ - Image Segmentation DeepLabV3 on Android — PyTorch Tutorials 2.3.0+cu121 documentation + Image Segmentation DeepLabV3 on Android — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/deeplabv3_on_ios.html b/docs/beginner/deeplabv3_on_ios.html index b0b4fd7..ee82aa4 100644 --- a/docs/beginner/deeplabv3_on_ios.html +++ b/docs/beginner/deeplabv3_on_ios.html @@ -9,7 +9,7 @@ - Image Segmentation DeepLabV3 on iOS — PyTorch Tutorials 2.3.0+cu121 documentation + Image Segmentation DeepLabV3 on iOS — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/deploy_seq2seq_hybrid_frontend_tutorial.html b/docs/beginner/deploy_seq2seq_hybrid_frontend_tutorial.html index 9f38739..dab9a5c 100644 --- a/docs/beginner/deploy_seq2seq_hybrid_frontend_tutorial.html +++ b/docs/beginner/deploy_seq2seq_hybrid_frontend_tutorial.html @@ -9,7 +9,7 @@ - Deploying a Seq2Seq Model with TorchScript — PyTorch Tutorials 2.3.0+cu121 documentation + Deploying a Seq2Seq Model with TorchScript — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/dist_overview.html b/docs/beginner/dist_overview.html index 2e251e1..09b93c0 100644 --- a/docs/beginner/dist_overview.html +++ b/docs/beginner/dist_overview.html @@ -9,7 +9,7 @@ - PyTorch 分布式概述 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 分布式概述 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_autograd/index.html b/docs/beginner/examples_autograd/index.html index 9141817..7b15c18 100644 --- a/docs/beginner/examples_autograd/index.html +++ b/docs/beginner/examples_autograd/index.html @@ -9,7 +9,7 @@ - <no title> — PyTorch Tutorials 2.3.0+cu121 documentation + <no title> — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_autograd/polynomial_autograd.html b/docs/beginner/examples_autograd/polynomial_autograd.html index 61dbbb6..adf78d5 100644 --- a/docs/beginner/examples_autograd/polynomial_autograd.html +++ b/docs/beginner/examples_autograd/polynomial_autograd.html @@ -9,7 +9,7 @@ - PyTorch: Tensors and autograd — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch: Tensors and autograd — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_autograd/polynomial_custom_function.html b/docs/beginner/examples_autograd/polynomial_custom_function.html index 6f240d7..75d725c 100644 --- a/docs/beginner/examples_autograd/polynomial_custom_function.html +++ b/docs/beginner/examples_autograd/polynomial_custom_function.html @@ -9,7 +9,7 @@ - PyTorch: Defining New autograd Functions — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch: Defining New autograd Functions — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_nn/dynamic_net.html b/docs/beginner/examples_nn/dynamic_net.html index c1cd586..6c27347 100644 --- a/docs/beginner/examples_nn/dynamic_net.html +++ b/docs/beginner/examples_nn/dynamic_net.html @@ -9,7 +9,7 @@ - PyTorch: Control Flow + Weight Sharing — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch: Control Flow + Weight Sharing — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_nn/index.html b/docs/beginner/examples_nn/index.html index 7c803de..2b07408 100644 --- a/docs/beginner/examples_nn/index.html +++ b/docs/beginner/examples_nn/index.html @@ -9,7 +9,7 @@ - <no title> — PyTorch Tutorials 2.3.0+cu121 documentation + <no title> — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_nn/polynomial_module.html b/docs/beginner/examples_nn/polynomial_module.html index 101b9ab..bf28a49 100644 --- a/docs/beginner/examples_nn/polynomial_module.html +++ b/docs/beginner/examples_nn/polynomial_module.html @@ -9,7 +9,7 @@ - PyTorch: Custom nn Modules — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch: Custom nn Modules — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_nn/polynomial_nn.html b/docs/beginner/examples_nn/polynomial_nn.html index e775ec7..de9496d 100644 --- a/docs/beginner/examples_nn/polynomial_nn.html +++ b/docs/beginner/examples_nn/polynomial_nn.html @@ -9,7 +9,7 @@ - PyTorch: nn — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch: nn — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_nn/polynomial_optim.html b/docs/beginner/examples_nn/polynomial_optim.html index 8b3d42a..a166cdd 100644 --- a/docs/beginner/examples_nn/polynomial_optim.html +++ b/docs/beginner/examples_nn/polynomial_optim.html @@ -9,7 +9,7 @@ - PyTorch: optim — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch: optim — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_tensor/index.html b/docs/beginner/examples_tensor/index.html index 4a8c80e..64ae697 100644 --- a/docs/beginner/examples_tensor/index.html +++ b/docs/beginner/examples_tensor/index.html @@ -9,7 +9,7 @@ - <no title> — PyTorch Tutorials 2.3.0+cu121 documentation + <no title> — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_tensor/polynomial_numpy.html b/docs/beginner/examples_tensor/polynomial_numpy.html index a401a72..64ca031 100644 --- a/docs/beginner/examples_tensor/polynomial_numpy.html +++ b/docs/beginner/examples_tensor/polynomial_numpy.html @@ -9,7 +9,7 @@ - Warm-up: numpy — PyTorch Tutorials 2.3.0+cu121 documentation + Warm-up: numpy — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/examples_tensor/polynomial_tensor.html b/docs/beginner/examples_tensor/polynomial_tensor.html index 989112c..69befc6 100644 --- a/docs/beginner/examples_tensor/polynomial_tensor.html +++ b/docs/beginner/examples_tensor/polynomial_tensor.html @@ -9,7 +9,7 @@ - PyTorch：张量(Tensors) — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch：张量(Tensors) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/fgsm_tutorial.html b/docs/beginner/fgsm_tutorial.html index 9039c87..7770577 100644 --- a/docs/beginner/fgsm_tutorial.html +++ b/docs/beginner/fgsm_tutorial.html @@ -9,7 +9,7 @@ - 对抗样本生成 — PyTorch Tutorials 2.3.0+cu121 documentation + 对抗样本生成 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/finetuning_torchvision_models_tutorial.html b/docs/beginner/finetuning_torchvision_models_tutorial.html index 846feed..d2cceb5 100644 --- a/docs/beginner/finetuning_torchvision_models_tutorial.html +++ b/docs/beginner/finetuning_torchvision_models_tutorial.html @@ -9,7 +9,7 @@ - Finetuning Torchvision Models — PyTorch Tutorials 2.3.0+cu121 documentation + Finetuning Torchvision Models — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/flava_finetuning_tutorial.html b/docs/beginner/flava_finetuning_tutorial.html index 030345f..491b6fe 100644 --- a/docs/beginner/flava_finetuning_tutorial.html +++ b/docs/beginner/flava_finetuning_tutorial.html @@ -9,7 +9,7 @@ - TorchMultimodal 教程：微调 FLAVA — PyTorch Tutorials 2.3.0+cu121 documentation + TorchMultimodal 教程：微调 FLAVA — PyTorch Tutorials 2.5.0+cu124 documentation @@ -277,7 +277,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/former_torchies/autograd_tutorial_old.html b/docs/beginner/former_torchies/autograd_tutorial_old.html index 754ab72..c31b865 100644 --- a/docs/beginner/former_torchies/autograd_tutorial_old.html +++ b/docs/beginner/former_torchies/autograd_tutorial_old.html @@ -9,7 +9,7 @@ - Autograd — PyTorch Tutorials 2.3.0+cu121 documentation + Autograd — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/former_torchies/index.html b/docs/beginner/former_torchies/index.html index e48c20a..4942cb9 100644 --- a/docs/beginner/former_torchies/index.html +++ b/docs/beginner/former_torchies/index.html @@ -9,7 +9,7 @@ - <no title> — PyTorch Tutorials 2.3.0+cu121 documentation + <no title> — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/former_torchies/nnft_tutorial.html b/docs/beginner/former_torchies/nnft_tutorial.html index 8b20801..1cc4930 100644 --- a/docs/beginner/former_torchies/nnft_tutorial.html +++ b/docs/beginner/former_torchies/nnft_tutorial.html @@ -9,7 +9,7 @@ - nn package — PyTorch Tutorials 2.3.0+cu121 documentation + nn package — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/former_torchies/parallelism_tutorial.html b/docs/beginner/former_torchies/parallelism_tutorial.html index 3312410..a319641 100644 --- a/docs/beginner/former_torchies/parallelism_tutorial.html +++ b/docs/beginner/former_torchies/parallelism_tutorial.html @@ -9,7 +9,7 @@ - Multi-GPU Examples — PyTorch Tutorials 2.3.0+cu121 documentation + Multi-GPU Examples — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/former_torchies/tensor_tutorial_old.html b/docs/beginner/former_torchies/tensor_tutorial_old.html index fac45ab..0cfb4d8 100644 --- a/docs/beginner/former_torchies/tensor_tutorial_old.html +++ b/docs/beginner/former_torchies/tensor_tutorial_old.html @@ -9,7 +9,7 @@ - Tensors — PyTorch Tutorials 2.3.0+cu121 documentation + Tensors — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/former_torchies_tutorial.html b/docs/beginner/former_torchies_tutorial.html index 105cd48..0ba5abc 100644 --- a/docs/beginner/former_torchies_tutorial.html +++ b/docs/beginner/former_torchies_tutorial.html @@ -9,7 +9,7 @@ - PyTorch for Former Torch Users — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch for Former Torch Users — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/hta_intro_tutorial.html b/docs/beginner/hta_intro_tutorial.html index b384a1c..a84ff75 100644 --- a/docs/beginner/hta_intro_tutorial.html +++ b/docs/beginner/hta_intro_tutorial.html @@ -9,7 +9,7 @@ - Holistic Trace Analysis 介绍 — PyTorch Tutorials 2.3.0+cu121 documentation + Holistic Trace Analysis 介绍 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/hta_trace_diff_tutorial.html b/docs/beginner/hta_trace_diff_tutorial.html index 98416b3..80153b3 100644 --- a/docs/beginner/hta_trace_diff_tutorial.html +++ b/docs/beginner/hta_trace_diff_tutorial.html @@ -9,7 +9,7 @@ - Holistic Trace Analysis 差异分析 — PyTorch Tutorials 2.3.0+cu121 documentation + Holistic Trace Analysis 差异分析 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/hybrid_frontend/index.html b/docs/beginner/hybrid_frontend/index.html index c7d8e4d..8313810 100644 --- a/docs/beginner/hybrid_frontend/index.html +++ b/docs/beginner/hybrid_frontend/index.html @@ -9,7 +9,7 @@ - <no title> — PyTorch Tutorials 2.3.0+cu121 documentation + <no title> — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/hybrid_frontend/learning_hybrid_frontend_through_example_tutorial.html b/docs/beginner/hybrid_frontend/learning_hybrid_frontend_through_example_tutorial.html index 8806efb..d73281e 100644 --- a/docs/beginner/hybrid_frontend/learning_hybrid_frontend_through_example_tutorial.html +++ b/docs/beginner/hybrid_frontend/learning_hybrid_frontend_through_example_tutorial.html @@ -9,7 +9,7 @@ - Learning Hybrid Frontend Syntax Through Example — PyTorch Tutorials 2.3.0+cu121 documentation + Learning Hybrid Frontend Syntax Through Example — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/hybrid_frontend_tutorial.html b/docs/beginner/hybrid_frontend_tutorial.html index f037c21..f219ed2 100644 --- a/docs/beginner/hybrid_frontend_tutorial.html +++ b/docs/beginner/hybrid_frontend_tutorial.html @@ -9,7 +9,7 @@ - Hybrid Frontend 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + Hybrid Frontend 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/hyperparameter_tuning_tutorial.html b/docs/beginner/hyperparameter_tuning_tutorial.html index 5bfd377..ce93a26 100644 --- a/docs/beginner/hyperparameter_tuning_tutorial.html +++ b/docs/beginner/hyperparameter_tuning_tutorial.html @@ -9,7 +9,7 @@ - Ray Tune 超参数调优 — PyTorch Tutorials 2.3.0+cu121 documentation + Ray Tune 超参数调优 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt.html b/docs/beginner/introyt.html index 1ed3399..31e4eb5 100644 --- a/docs/beginner/introyt.html +++ b/docs/beginner/introyt.html @@ -9,7 +9,7 @@ - PyTorch 介绍 - YouTube — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 介绍 - YouTube — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/autogradyt_tutorial.html b/docs/beginner/introyt/autogradyt_tutorial.html index 8c388db..4a1ed85 100644 --- a/docs/beginner/introyt/autogradyt_tutorial.html +++ b/docs/beginner/introyt/autogradyt_tutorial.html @@ -9,7 +9,7 @@ - 自动微分基础 — PyTorch Tutorials 2.3.0+cu121 documentation + 自动微分基础 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/captumyt.html b/docs/beginner/introyt/captumyt.html index c5a8603..d486d91 100644 --- a/docs/beginner/introyt/captumyt.html +++ b/docs/beginner/introyt/captumyt.html @@ -9,7 +9,7 @@ - 使用 Captum 进行模型理解 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 Captum 进行模型理解 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/index.html b/docs/beginner/introyt/index.html index 82e9ca9..d58b512 100644 --- a/docs/beginner/introyt/index.html +++ b/docs/beginner/introyt/index.html @@ -9,7 +9,7 @@ - Introduction to PyTorch on YouTube — PyTorch Tutorials 2.3.0+cu121 documentation + Introduction to PyTorch on YouTube — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/introyt1_tutorial.html b/docs/beginner/introyt/introyt1_tutorial.html index 4c5373f..66e08a3 100644 --- a/docs/beginner/introyt/introyt1_tutorial.html +++ b/docs/beginner/introyt/introyt1_tutorial.html @@ -9,7 +9,7 @@ - PyTorch 简介 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 简介 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/modelsyt_tutorial.html b/docs/beginner/introyt/modelsyt_tutorial.html index 3dc7a2a..b228576 100644 --- a/docs/beginner/introyt/modelsyt_tutorial.html +++ b/docs/beginner/introyt/modelsyt_tutorial.html @@ -9,7 +9,7 @@ - 使用 PyTorch 构建模型 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 PyTorch 构建模型 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/tensorboardyt_tutorial.html b/docs/beginner/introyt/tensorboardyt_tutorial.html index 0a4ca3d..e430f8b 100644 --- a/docs/beginner/introyt/tensorboardyt_tutorial.html +++ b/docs/beginner/introyt/tensorboardyt_tutorial.html @@ -9,7 +9,7 @@ - PyTorch TensorBoard 支持 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch TensorBoard 支持 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/tensors_deeper_tutorial.html b/docs/beginner/introyt/tensors_deeper_tutorial.html index 3ec5a88..9c7e695 100644 --- a/docs/beginner/introyt/tensors_deeper_tutorial.html +++ b/docs/beginner/introyt/tensors_deeper_tutorial.html @@ -9,7 +9,7 @@ - PyTorch Tensors 介绍 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch Tensors 介绍 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/introyt/trainingyt.html b/docs/beginner/introyt/trainingyt.html index 3c3b8ed..afa25a7 100644 --- a/docs/beginner/introyt/trainingyt.html +++ b/docs/beginner/introyt/trainingyt.html @@ -9,7 +9,7 @@ - 使用 PyTorch 训练模型 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 PyTorch 训练模型 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/knowledge_distillation_tutorial.html b/docs/beginner/knowledge_distillation_tutorial.html index 5b53238..df6a0a5 100644 --- a/docs/beginner/knowledge_distillation_tutorial.html +++ b/docs/beginner/knowledge_distillation_tutorial.html @@ -9,7 +9,7 @@ - Knowledge Distillation 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + Knowledge Distillation 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nlp/advanced_tutorial.html b/docs/beginner/nlp/advanced_tutorial.html index 36f610f..7d6f441 100644 --- a/docs/beginner/nlp/advanced_tutorial.html +++ b/docs/beginner/nlp/advanced_tutorial.html @@ -9,7 +9,7 @@ - Advanced: Making Dynamic Decisions and the Bi-LSTM CRF — PyTorch Tutorials 2.3.0+cu121 documentation + Advanced: Making Dynamic Decisions and the Bi-LSTM CRF — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nlp/deep_learning_tutorial.html b/docs/beginner/nlp/deep_learning_tutorial.html index 4274ffd..17607bd 100644 --- a/docs/beginner/nlp/deep_learning_tutorial.html +++ b/docs/beginner/nlp/deep_learning_tutorial.html @@ -9,7 +9,7 @@ - Deep Learning with PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + Deep Learning with PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nlp/index.html b/docs/beginner/nlp/index.html index d7e7478..bea6a6d 100644 --- a/docs/beginner/nlp/index.html +++ b/docs/beginner/nlp/index.html @@ -9,7 +9,7 @@ - Deep Learning for NLP with Pytorch — PyTorch Tutorials 2.3.0+cu121 documentation + Deep Learning for NLP with Pytorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nlp/pytorch_tutorial.html b/docs/beginner/nlp/pytorch_tutorial.html index 9844b9b..a48c49d 100644 --- a/docs/beginner/nlp/pytorch_tutorial.html +++ b/docs/beginner/nlp/pytorch_tutorial.html @@ -9,7 +9,7 @@ - Introduction to PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + Introduction to PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nlp/sequence_models_tutorial.html b/docs/beginner/nlp/sequence_models_tutorial.html index d9f993c..dca6924 100644 --- a/docs/beginner/nlp/sequence_models_tutorial.html +++ b/docs/beginner/nlp/sequence_models_tutorial.html @@ -9,7 +9,7 @@ - Sequence Models and Long Short-Term Memory Networks — PyTorch Tutorials 2.3.0+cu121 documentation + Sequence Models and Long Short-Term Memory Networks — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nlp/word_embeddings_tutorial.html b/docs/beginner/nlp/word_embeddings_tutorial.html index 7a5d930..4943fea 100644 --- a/docs/beginner/nlp/word_embeddings_tutorial.html +++ b/docs/beginner/nlp/word_embeddings_tutorial.html @@ -9,7 +9,7 @@ - Word Embeddings: Encoding Lexical Semantics — PyTorch Tutorials 2.3.0+cu121 documentation + Word Embeddings: Encoding Lexical Semantics — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/nn_tutorial.html b/docs/beginner/nn_tutorial.html index 3c36688..2101f5c 100644 --- a/docs/beginner/nn_tutorial.html +++ b/docs/beginner/nn_tutorial.html @@ -9,7 +9,7 @@ - torch.nn 具体是什么? — PyTorch Tutorials 2.3.0+cu121 documentation + torch.nn 具体是什么? — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/onnx/export_simple_model_to_onnx_tutorial.html b/docs/beginner/onnx/export_simple_model_to_onnx_tutorial.html index b2cafad..640de6a 100644 --- a/docs/beginner/onnx/export_simple_model_to_onnx_tutorial.html +++ b/docs/beginner/onnx/export_simple_model_to_onnx_tutorial.html @@ -9,7 +9,7 @@ - Export a PyTorch model to ONNX — PyTorch Tutorials 2.3.0+cu121 documentation + Export a PyTorch model to ONNX — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/onnx/index.html b/docs/beginner/onnx/index.html index aef7354..61aa185 100644 --- a/docs/beginner/onnx/index.html +++ b/docs/beginner/onnx/index.html @@ -9,7 +9,7 @@ - ONNX — PyTorch Tutorials 2.3.0+cu121 documentation + ONNX — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/onnx/intro_onnx.html b/docs/beginner/onnx/intro_onnx.html index 053e4b4..0748171 100644 --- a/docs/beginner/onnx/intro_onnx.html +++ b/docs/beginner/onnx/intro_onnx.html @@ -9,7 +9,7 @@ - ONNX 介绍 — PyTorch Tutorials 2.3.0+cu121 documentation + ONNX 介绍 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/onnx/onnx_registry_tutorial.html b/docs/beginner/onnx/onnx_registry_tutorial.html index f715938..cae1bf7 100644 --- a/docs/beginner/onnx/onnx_registry_tutorial.html +++ b/docs/beginner/onnx/onnx_registry_tutorial.html @@ -9,7 +9,7 @@ - Extending the ONNX Registry — PyTorch Tutorials 2.3.0+cu121 documentation + Extending the ONNX Registry — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/profiler.html b/docs/beginner/profiler.html index 471acee..9a140f3 100644 --- a/docs/beginner/profiler.html +++ b/docs/beginner/profiler.html @@ -9,7 +9,7 @@ - PyTorch 模型分析 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 模型分析 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/ptcheat.html b/docs/beginner/ptcheat.html index 40af3f1..726b7f3 100644 --- a/docs/beginner/ptcheat.html +++ b/docs/beginner/ptcheat.html @@ -9,7 +9,7 @@ - PyTorch Cheat Sheet — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch Cheat Sheet — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/pytorch_with_examples.html b/docs/beginner/pytorch_with_examples.html index 2118baa..f7fd984 100644 --- a/docs/beginner/pytorch_with_examples.html +++ b/docs/beginner/pytorch_with_examples.html @@ -9,7 +9,7 @@ - 跟着示例学习 PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + 跟着示例学习 PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/saving_loading_models.html b/docs/beginner/saving_loading_models.html index 9e57784..022e43c 100644 --- a/docs/beginner/saving_loading_models.html +++ b/docs/beginner/saving_loading_models.html @@ -9,7 +9,7 @@ - Saving and Loading Models — PyTorch Tutorials 2.3.0+cu121 documentation + Saving and Loading Models — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/t5_tutorial.html b/docs/beginner/t5_tutorial.html index 07af324..45654ea 100644 --- a/docs/beginner/t5_tutorial.html +++ b/docs/beginner/t5_tutorial.html @@ -9,7 +9,7 @@ - T5-Base Model for Summarization, Sentiment Classification, and Translation — PyTorch Tutorials 2.3.0+cu121 documentation + T5-Base Model for Summarization, Sentiment Classification, and Translation — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/template_tutorial.html b/docs/beginner/template_tutorial.html index 7e3103b..664e919 100644 --- a/docs/beginner/template_tutorial.html +++ b/docs/beginner/template_tutorial.html @@ -9,7 +9,7 @@ - Template Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + Template Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/text_sentiment_ngrams_tutorial.html b/docs/beginner/text_sentiment_ngrams_tutorial.html index 974601a..dd4c191 100644 --- a/docs/beginner/text_sentiment_ngrams_tutorial.html +++ b/docs/beginner/text_sentiment_ngrams_tutorial.html @@ -9,7 +9,7 @@ - torchtext 文本分类 — PyTorch Tutorials 2.3.0+cu121 documentation + torchtext 文本分类 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/torchtext_custom_dataset_tutorial.html b/docs/beginner/torchtext_custom_dataset_tutorial.html index c85f53d..41e0110 100644 --- a/docs/beginner/torchtext_custom_dataset_tutorial.html +++ b/docs/beginner/torchtext_custom_dataset_tutorial.html @@ -9,7 +9,7 @@ - Torchtext 预处理自定义文本数据集 — PyTorch Tutorials 2.3.0+cu121 documentation + Torchtext 预处理自定义文本数据集 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/transfer_learning_tutorial.html b/docs/beginner/transfer_learning_tutorial.html index 3f17f6a..9e09819 100644 --- a/docs/beginner/transfer_learning_tutorial.html +++ b/docs/beginner/transfer_learning_tutorial.html @@ -9,7 +9,7 @@ - 计算机视觉迁移学习教程 — PyTorch Tutorials 2.3.0+cu121 documentation + 计算机视觉迁移学习教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/translation_transformer.html b/docs/beginner/translation_transformer.html index d978263..f4a4495 100644 --- a/docs/beginner/translation_transformer.html +++ b/docs/beginner/translation_transformer.html @@ -9,7 +9,7 @@ - 数据获取和处理 — PyTorch Tutorials 2.3.0+cu121 documentation + 数据获取和处理 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/beginner/vt_tutorial.html b/docs/beginner/vt_tutorial.html index 2f9f8a7..a42074c 100644 --- a/docs/beginner/vt_tutorial.html +++ b/docs/beginner/vt_tutorial.html @@ -9,7 +9,7 @@ - 优化视觉 Transformer 模型 — PyTorch Tutorials 2.3.0+cu121 documentation + 优化视觉 Transformer 模型 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/distributed/home.html b/docs/distributed/home.html index 0e0b55b..fe6ef57 100644 --- a/docs/distributed/home.html +++ b/docs/distributed/home.html @@ -9,7 +9,7 @@ - Distributed and Parallel Training Tutorials — PyTorch Tutorials 2.3.0+cu121 documentation + Distributed and Parallel Training Tutorials — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/genindex.html b/docs/genindex.html index 839baf0..3aada16 100644 --- a/docs/genindex.html +++ b/docs/genindex.html @@ -9,7 +9,7 @@ - Index — PyTorch Tutorials 2.3.0+cu121 documentation + Index — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
diff --git a/docs/index.html b/docs/index.html index e727e44..1c26d04 100644 --- a/docs/index.html +++ b/docs/index.html @@ -9,7 +9,7 @@ - 欢迎来到 PyTorch 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + 欢迎来到 PyTorch 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -277,7 +277,7 @@
- 2.3.0+cu121 + 2.5.0+cu124
@@ -597,10 +597,7 @@

欢迎来到 PyTorch 教程

  • Compiled Autograd: 为 torch.compile 捕获更大的后向图

  • 通过区域编译减少 torch.compile 冷启动编译时间

    • -

  • 使用 Tensor Parallel (TP) 进行大规模 Transformer 模型训练

    • -

  • 利用半结构化(2:4)稀疏性加速 BERT

    • -

  • torch.export 教程

    • -

  • nn.Module 中 load_state_dict 和张量子类的扩展点

    • +

  • 如何在 Windows CPU 上使用 TorchInductor

    • diff --git a/docs/intermediate/FSDP_adavnced_tutorial.html b/docs/intermediate/FSDP_adavnced_tutorial.html index f86ead6..7a87b6f 100644 --- a/docs/intermediate/FSDP_adavnced_tutorial.html +++ b/docs/intermediate/FSDP_adavnced_tutorial.html @@ -9,7 +9,7 @@ - Advanced Model Training with Fully Sharded Data Parallel (FSDP) — PyTorch Tutorials 2.3.0+cu121 documentation + Advanced Model Training with Fully Sharded Data Parallel (FSDP) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/FSDP_tutorial.html b/docs/intermediate/FSDP_tutorial.html index 3985ec5..65b81da 100644 --- a/docs/intermediate/FSDP_tutorial.html +++ b/docs/intermediate/FSDP_tutorial.html @@ -9,7 +9,7 @@ - Getting Started with Fully Sharded Data Parallel(FSDP) — PyTorch Tutorials 2.3.0+cu121 documentation + Getting Started with Fully Sharded Data Parallel(FSDP) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/TP_tutorial.html b/docs/intermediate/TP_tutorial.html index 2def3a9..11983f0 100644 --- a/docs/intermediate/TP_tutorial.html +++ b/docs/intermediate/TP_tutorial.html @@ -9,7 +9,7 @@ - Large Scale Transformer model training with Tensor Parallel (TP) — PyTorch Tutorials 2.3.0+cu121 documentation + Large Scale Transformer model training with Tensor Parallel (TP) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/autograd_saved_tensors_hooks_tutorial.html b/docs/intermediate/autograd_saved_tensors_hooks_tutorial.html index cdd553f..4d7e86b 100644 --- a/docs/intermediate/autograd_saved_tensors_hooks_tutorial.html +++ b/docs/intermediate/autograd_saved_tensors_hooks_tutorial.html @@ -9,7 +9,7 @@ - Hooks for autograd saved tensors — PyTorch Tutorials 2.3.0+cu121 documentation + Hooks for autograd saved tensors — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/ax_multiobjective_nas_tutorial.html b/docs/intermediate/ax_multiobjective_nas_tutorial.html index 2579374..2b248d4 100644 --- a/docs/intermediate/ax_multiobjective_nas_tutorial.html +++ b/docs/intermediate/ax_multiobjective_nas_tutorial.html @@ -9,7 +9,7 @@ - Multi-Objective NAS with Ax — PyTorch Tutorials 2.3.0+cu121 documentation + Multi-Objective NAS with Ax — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/char_rnn_classification_tutorial.html b/docs/intermediate/char_rnn_classification_tutorial.html index acfbbd3..141bdd5 100644 --- a/docs/intermediate/char_rnn_classification_tutorial.html +++ b/docs/intermediate/char_rnn_classification_tutorial.html @@ -9,7 +9,7 @@ - 从零开始的自然语言处理：字符级 RNN 进行姓名分类 — PyTorch Tutorials 2.3.0+cu121 documentation + 从零开始的自然语言处理：字符级 RNN 进行姓名分类 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/char_rnn_generation_tutorial.html b/docs/intermediate/char_rnn_generation_tutorial.html index 96c3925..a008141 100644 --- a/docs/intermediate/char_rnn_generation_tutorial.html +++ b/docs/intermediate/char_rnn_generation_tutorial.html @@ -9,7 +9,7 @@ - 从零开始的自然语言处理：字符级 RNN 生成姓名 — PyTorch Tutorials 2.3.0+cu121 documentation + 从零开始的自然语言处理：字符级 RNN 生成姓名 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/compiled_autograd_tutorial.html b/docs/intermediate/compiled_autograd_tutorial.html index aaedaf5..1f078f9 100644 --- a/docs/intermediate/compiled_autograd_tutorial.html +++ b/docs/intermediate/compiled_autograd_tutorial.html @@ -9,7 +9,7 @@ - Compiled Autograd: 为 torch.compile 捕获更大的后向图 — PyTorch Tutorials 2.3.0+cu121 documentation + Compiled Autograd: 为 torch.compile 捕获更大的后向图 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/custom_function_conv_bn_tutorial.html b/docs/intermediate/custom_function_conv_bn_tutorial.html index 8c01b0a..608ed1f 100644 --- a/docs/intermediate/custom_function_conv_bn_tutorial.html +++ b/docs/intermediate/custom_function_conv_bn_tutorial.html @@ -9,7 +9,7 @@ - Fusing Convolution and Batch Norm using Custom Function — PyTorch Tutorials 2.3.0+cu121 documentation + Fusing Convolution and Batch Norm using Custom Function — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/custom_function_double_backward_tutorial.html b/docs/intermediate/custom_function_double_backward_tutorial.html index fb61090..64aeaf8 100644 --- a/docs/intermediate/custom_function_double_backward_tutorial.html +++ b/docs/intermediate/custom_function_double_backward_tutorial.html @@ -9,7 +9,7 @@ - Double Backward with Custom Functions — PyTorch Tutorials 2.3.0+cu121 documentation + Double Backward with Custom Functions — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/ddp_series_minGPT.html b/docs/intermediate/ddp_series_minGPT.html index b00d103..7f4dabd 100644 --- a/docs/intermediate/ddp_series_minGPT.html +++ b/docs/intermediate/ddp_series_minGPT.html @@ -9,7 +9,7 @@ - Training “real-world” models with DDP — PyTorch Tutorials 2.3.0+cu121 documentation + Training “real-world” models with DDP — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/ddp_series_multinode.html b/docs/intermediate/ddp_series_multinode.html index 0e89aca..90d7a18 100644 --- a/docs/intermediate/ddp_series_multinode.html +++ b/docs/intermediate/ddp_series_multinode.html @@ -9,7 +9,7 @@ - Multinode Training — PyTorch Tutorials 2.3.0+cu121 documentation + Multinode Training — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/ddp_tutorial.html b/docs/intermediate/ddp_tutorial.html index 03ff371..59f1a90 100644 --- a/docs/intermediate/ddp_tutorial.html +++ b/docs/intermediate/ddp_tutorial.html @@ -9,7 +9,7 @@ - Getting Started with Distributed Data Parallel — PyTorch Tutorials 2.3.0+cu121 documentation + Getting Started with Distributed Data Parallel — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/dist_pipeline_parallel_tutorial.html b/docs/intermediate/dist_pipeline_parallel_tutorial.html index ca102fc..d6efb0c 100644 --- a/docs/intermediate/dist_pipeline_parallel_tutorial.html +++ b/docs/intermediate/dist_pipeline_parallel_tutorial.html @@ -9,7 +9,7 @@ - Distributed Pipeline Parallelism Using RPC — PyTorch Tutorials 2.3.0+cu121 documentation + Distributed Pipeline Parallelism Using RPC — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/dist_tuto.html b/docs/intermediate/dist_tuto.html index f902c03..5b95277 100644 --- a/docs/intermediate/dist_tuto.html +++ b/docs/intermediate/dist_tuto.html @@ -9,7 +9,7 @@ - Writing Distributed Applications with PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + Writing Distributed Applications with PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/dqn_with_rnn_tutorial.html b/docs/intermediate/dqn_with_rnn_tutorial.html index 5889f7a..0852414 100644 --- a/docs/intermediate/dqn_with_rnn_tutorial.html +++ b/docs/intermediate/dqn_with_rnn_tutorial.html @@ -9,7 +9,7 @@ - Recurrent DQN: Training recurrent policies — PyTorch Tutorials 2.3.0+cu121 documentation + Recurrent DQN: Training recurrent policies — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/dynamic_quantization_bert_tutorial.html b/docs/intermediate/dynamic_quantization_bert_tutorial.html index 19380e8..4c15b1b 100644 --- a/docs/intermediate/dynamic_quantization_bert_tutorial.html +++ b/docs/intermediate/dynamic_quantization_bert_tutorial.html @@ -9,7 +9,7 @@ - (beta) Dynamic Quantization on BERT — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Dynamic Quantization on BERT — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/ensembling.html b/docs/intermediate/ensembling.html index ad5f65b..db5c303 100644 --- a/docs/intermediate/ensembling.html +++ b/docs/intermediate/ensembling.html @@ -9,7 +9,7 @@ - Model ensembling — PyTorch Tutorials 2.3.0+cu121 documentation + Model ensembling — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/flask_rest_api_tutorial.html b/docs/intermediate/flask_rest_api_tutorial.html index 472b340..963d98d 100644 --- a/docs/intermediate/flask_rest_api_tutorial.html +++ b/docs/intermediate/flask_rest_api_tutorial.html @@ -9,7 +9,7 @@ - API 定义 — PyTorch Tutorials 2.3.0+cu121 documentation + API 定义 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/forced_alignment_with_torchaudio_tutorial.html b/docs/intermediate/forced_alignment_with_torchaudio_tutorial.html index c2a055e..d3b760c 100644 --- a/docs/intermediate/forced_alignment_with_torchaudio_tutorial.html +++ b/docs/intermediate/forced_alignment_with_torchaudio_tutorial.html @@ -9,7 +9,7 @@ - Wav2Vec2 强制对齐 — PyTorch Tutorials 2.3.0+cu121 documentation + Wav2Vec2 强制对齐 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/forward_ad_usage.html b/docs/intermediate/forward_ad_usage.html index 2a58385..0effea9 100644 --- a/docs/intermediate/forward_ad_usage.html +++ b/docs/intermediate/forward_ad_usage.html @@ -9,7 +9,7 @@ - Forward-mode Automatic Differentiation (Beta) — PyTorch Tutorials 2.3.0+cu121 documentation + Forward-mode Automatic Differentiation (Beta) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/fx_conv_bn_fuser.html b/docs/intermediate/fx_conv_bn_fuser.html index 2265034..8b91a62 100644 --- a/docs/intermediate/fx_conv_bn_fuser.html +++ b/docs/intermediate/fx_conv_bn_fuser.html @@ -9,7 +9,7 @@ - (beta) Building a Convolution/Batch Norm fuser in FX — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Building a Convolution/Batch Norm fuser in FX — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/fx_profiling_tutorial.html b/docs/intermediate/fx_profiling_tutorial.html index 1465bc3..253935c 100644 --- a/docs/intermediate/fx_profiling_tutorial.html +++ b/docs/intermediate/fx_profiling_tutorial.html @@ -9,7 +9,7 @@ - (beta) Building a Simple CPU Performance Profiler with FX — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Building a Simple CPU Performance Profiler with FX — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/inductor_debug_cpu.html b/docs/intermediate/inductor_debug_cpu.html index a127c7b..fe5d76b 100644 --- a/docs/intermediate/inductor_debug_cpu.html +++ b/docs/intermediate/inductor_debug_cpu.html @@ -9,7 +9,7 @@ - Inductor CPU backend debugging and profiling — PyTorch Tutorials 2.3.0+cu121 documentation + Inductor CPU backend debugging and profiling — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/jacobians_hessians.html b/docs/intermediate/jacobians_hessians.html index 16937eb..1da0dcd 100644 --- a/docs/intermediate/jacobians_hessians.html +++ b/docs/intermediate/jacobians_hessians.html @@ -9,7 +9,7 @@ - Jacobians, Hessians, hvp, vhp, and more: composing function transforms — PyTorch Tutorials 2.3.0+cu121 documentation + Jacobians, Hessians, hvp, vhp, and more: composing function transforms — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/mario_rl_tutorial.html b/docs/intermediate/mario_rl_tutorial.html index 010cc66..6de3b2d 100644 --- a/docs/intermediate/mario_rl_tutorial.html +++ b/docs/intermediate/mario_rl_tutorial.html @@ -9,7 +9,7 @@ - 训练一个马里奥游戏的 RL Agent — PyTorch Tutorials 2.3.0+cu121 documentation + 训练一个马里奥游戏的 RL Agent — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/memory_format_tutorial.html b/docs/intermediate/memory_format_tutorial.html index 0e3663a..a87b94f 100644 --- a/docs/intermediate/memory_format_tutorial.html +++ b/docs/intermediate/memory_format_tutorial.html @@ -9,7 +9,7 @@ - (beta) Channels Last Memory Format in PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Channels Last Memory Format in PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/mnist_train_nas.html b/docs/intermediate/mnist_train_nas.html index 809c30f..e4b0264 100644 --- a/docs/intermediate/mnist_train_nas.html +++ b/docs/intermediate/mnist_train_nas.html @@ -9,7 +9,7 @@ - <no title> — PyTorch Tutorials 2.3.0+cu121 documentation + <no title> — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/model_parallel_tutorial.html b/docs/intermediate/model_parallel_tutorial.html index f2950f4..1c8a25a 100644 --- a/docs/intermediate/model_parallel_tutorial.html +++ b/docs/intermediate/model_parallel_tutorial.html @@ -9,7 +9,7 @@ - Single-Machine Model Parallel Best Practices — PyTorch Tutorials 2.3.0+cu121 documentation + Single-Machine Model Parallel Best Practices — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/neural_tangent_kernels.html b/docs/intermediate/neural_tangent_kernels.html index 3f2d992..1632612 100644 --- a/docs/intermediate/neural_tangent_kernels.html +++ b/docs/intermediate/neural_tangent_kernels.html @@ -9,7 +9,7 @@ - Neural Tangent Kernels — PyTorch Tutorials 2.3.0+cu121 documentation + Neural Tangent Kernels — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/nvfuser_intro_tutorial.html b/docs/intermediate/nvfuser_intro_tutorial.html index 625ba41..bdfb0d9 100644 --- a/docs/intermediate/nvfuser_intro_tutorial.html +++ b/docs/intermediate/nvfuser_intro_tutorial.html @@ -9,7 +9,7 @@ - Getting Started - Accelerate Your Scripts with nvFuser — PyTorch Tutorials 2.3.0+cu121 documentation + Getting Started - Accelerate Your Scripts with nvFuser — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/optimizer_step_in_backward_tutorial.html b/docs/intermediate/optimizer_step_in_backward_tutorial.html index 6518777..b202407 100644 --- a/docs/intermediate/optimizer_step_in_backward_tutorial.html +++ b/docs/intermediate/optimizer_step_in_backward_tutorial.html @@ -9,7 +9,7 @@ - How to save memory by fusing the optimizer step into the backward pass — PyTorch Tutorials 2.3.0+cu121 documentation + How to save memory by fusing the optimizer step into the backward pass — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/parametrizations.html b/docs/intermediate/parametrizations.html index b806fd5..63887ff 100644 --- a/docs/intermediate/parametrizations.html +++ b/docs/intermediate/parametrizations.html @@ -9,7 +9,7 @@ - Parametrizations Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + Parametrizations Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/per_sample_grads.html b/docs/intermediate/per_sample_grads.html index d21d785..d089fd2 100644 --- a/docs/intermediate/per_sample_grads.html +++ b/docs/intermediate/per_sample_grads.html @@ -9,7 +9,7 @@ - Per-sample-gradients — PyTorch Tutorials 2.3.0+cu121 documentation + Per-sample-gradients — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/process_group_cpp_extension_tutorial.html b/docs/intermediate/process_group_cpp_extension_tutorial.html index dcee91b..3f2fae9 100644 --- a/docs/intermediate/process_group_cpp_extension_tutorial.html +++ b/docs/intermediate/process_group_cpp_extension_tutorial.html @@ -9,7 +9,7 @@ - Customize Process Group Backends Using Cpp Extensions — PyTorch Tutorials 2.3.0+cu121 documentation + Customize Process Group Backends Using Cpp Extensions — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/pruning_tutorial.html b/docs/intermediate/pruning_tutorial.html index 9fdcc18..8fdea7f 100644 --- a/docs/intermediate/pruning_tutorial.html +++ b/docs/intermediate/pruning_tutorial.html @@ -9,7 +9,7 @@ - Pruning Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + Pruning Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/quantized_transfer_learning_tutorial.html b/docs/intermediate/quantized_transfer_learning_tutorial.html index f97a32a..f86e059 100644 --- a/docs/intermediate/quantized_transfer_learning_tutorial.html +++ b/docs/intermediate/quantized_transfer_learning_tutorial.html @@ -9,7 +9,7 @@ - (beta) Quantized Transfer Learning for Computer Vision Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Quantized Transfer Learning for Computer Vision Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/realtime_rpi.html b/docs/intermediate/realtime_rpi.html index c4cbb19..341d754 100644 --- a/docs/intermediate/realtime_rpi.html +++ b/docs/intermediate/realtime_rpi.html @@ -9,7 +9,7 @@ - 在 Raspberry Pi 4 上进行实时推理 (30 fps!) — PyTorch Tutorials 2.3.0+cu121 documentation + 在 Raspberry Pi 4 上进行实时推理 (30 fps!) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/reinforcement_ppo.html b/docs/intermediate/reinforcement_ppo.html index f6fbfb5..c38ef29 100644 --- a/docs/intermediate/reinforcement_ppo.html +++ b/docs/intermediate/reinforcement_ppo.html @@ -9,7 +9,7 @@ - 使用 TorchRL 强化学习 (PPO) 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 TorchRL 强化学习 (PPO) 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/reinforcement_q_learning.html b/docs/intermediate/reinforcement_q_learning.html index 3b5164a..ac7985d 100644 --- a/docs/intermediate/reinforcement_q_learning.html +++ b/docs/intermediate/reinforcement_q_learning.html @@ -9,7 +9,7 @@ - 强化学习 (DQN) 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + 强化学习 (DQN) 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/rpc_async_execution.html b/docs/intermediate/rpc_async_execution.html index a61e867..c201152 100644 --- a/docs/intermediate/rpc_async_execution.html +++ b/docs/intermediate/rpc_async_execution.html @@ -9,7 +9,7 @@ - Implementing Batch RPC Processing Using Asynchronous Executions — PyTorch Tutorials 2.3.0+cu121 documentation + Implementing Batch RPC Processing Using Asynchronous Executions — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/rpc_param_server_tutorial.html b/docs/intermediate/rpc_param_server_tutorial.html index 90dd960..249c909 100644 --- a/docs/intermediate/rpc_param_server_tutorial.html +++ b/docs/intermediate/rpc_param_server_tutorial.html @@ -9,7 +9,7 @@ - Implementing a Parameter Server Using Distributed RPC Framework — PyTorch Tutorials 2.3.0+cu121 documentation + Implementing a Parameter Server Using Distributed RPC Framework — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/rpc_tutorial.html b/docs/intermediate/rpc_tutorial.html index 0bda2de..0ec3807 100644 --- a/docs/intermediate/rpc_tutorial.html +++ b/docs/intermediate/rpc_tutorial.html @@ -9,7 +9,7 @@ - Getting Started with Distributed RPC Framework — PyTorch Tutorials 2.3.0+cu121 documentation + Getting Started with Distributed RPC Framework — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/scaled_dot_product_attention_tutorial.html b/docs/intermediate/scaled_dot_product_attention_tutorial.html index 0444342..3c4e6b3 100644 --- a/docs/intermediate/scaled_dot_product_attention_tutorial.html +++ b/docs/intermediate/scaled_dot_product_attention_tutorial.html @@ -9,7 +9,7 @@ - (Beta) Implementing High-Performance Transformers with Scaled Dot Product Attention (SDPA) — PyTorch Tutorials 2.3.0+cu121 documentation + (Beta) Implementing High-Performance Transformers with Scaled Dot Product Attention (SDPA) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    diff --git a/docs/intermediate/seq2seq_translation_tutorial.html b/docs/intermediate/seq2seq_translation_tutorial.html index af7c761..83b39f9 100644 --- a/docs/intermediate/seq2seq_translation_tutorial.html +++ b/docs/intermediate/seq2seq_translation_tutorial.html @@ -9,7 +9,7 @@ - 从零开始的自然语言处理：序列到序列网络和注意力机制进行翻译 — PyTorch Tutorials 2.3.0+cu121 documentation + 从零开始的自然语言处理：序列到序列网络和注意力机制进行翻译 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    diff --git a/docs/intermediate/spatial_transformer_tutorial.html b/docs/intermediate/spatial_transformer_tutorial.html index 67dec0d..499d5ce 100644 --- a/docs/intermediate/spatial_transformer_tutorial.html +++ b/docs/intermediate/spatial_transformer_tutorial.html @@ -9,7 +9,7 @@ - Spatial Transformer Networks 教程 — PyTorch Tutorials 2.3.0+cu121 documentation + Spatial Transformer Networks 教程 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    diff --git a/docs/intermediate/speech_recognition_pipeline_tutorial.html b/docs/intermediate/speech_recognition_pipeline_tutorial.html index b115b8f..b17fe00 100644 --- a/docs/intermediate/speech_recognition_pipeline_tutorial.html +++ b/docs/intermediate/speech_recognition_pipeline_tutorial.html @@ -9,7 +9,7 @@ - Wav2Vec2 进行语音识别 — PyTorch Tutorials 2.3.0+cu121 documentation + Wav2Vec2 进行语音识别 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    diff --git a/docs/intermediate/tensorboard_profiler_tutorial.html b/docs/intermediate/tensorboard_profiler_tutorial.html index 16496de..041e773 100644 --- a/docs/intermediate/tensorboard_profiler_tutorial.html +++ b/docs/intermediate/tensorboard_profiler_tutorial.html @@ -9,7 +9,7 @@ - PyTorch Profiler With TensorBoard — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch Profiler With TensorBoard — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/intermediate/tensorboard_tutorial.html b/docs/intermediate/tensorboard_tutorial.html index 04b7ff4..2b607fb 100644 --- a/docs/intermediate/tensorboard_tutorial.html +++ b/docs/intermediate/tensorboard_tutorial.html @@ -9,7 +9,7 @@ - TensorBoard 可视化模型、数据和训练 — PyTorch Tutorials 2.3.0+cu121 documentation + TensorBoard 可视化模型、数据和训练 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    diff --git a/docs/intermediate/text_to_speech_with_torchaudio.html b/docs/intermediate/text_to_speech_with_torchaudio.html index c5ae3e3..a9777ab 100644 --- a/docs/intermediate/text_to_speech_with_torchaudio.html +++ b/docs/intermediate/text_to_speech_with_torchaudio.html @@ -9,7 +9,7 @@ - Tacotron2 文本转语音 — PyTorch Tutorials 2.3.0+cu121 documentation + Tacotron2 文本转语音 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    diff --git a/docs/intermediate/tiatoolbox_tutorial.html b/docs/intermediate/tiatoolbox_tutorial.html index bb0be7e..8403132 100644 --- a/docs/intermediate/tiatoolbox_tutorial.html +++ b/docs/intermediate/tiatoolbox_tutorial.html @@ -9,7 +9,7 @@ - PyTorch 和 TIAToolbox 进行全切片图像分类 — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 和 TIAToolbox 进行全切片图像分类 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
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    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/distributed_rpc_profiling.html b/docs/prototype/distributed_rpc_profiling.html index 117c5f3..53362be 100644 --- a/docs/prototype/distributed_rpc_profiling.html +++ b/docs/prototype/distributed_rpc_profiling.html @@ -9,7 +9,7 @@ - Profiling PyTorch RPC-Based Workloads — PyTorch Tutorials 2.3.0+cu121 documentation + Profiling PyTorch RPC-Based Workloads — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/fx_graph_mode_ptq_dynamic.html b/docs/prototype/fx_graph_mode_ptq_dynamic.html index 825e3c7..831e3f3 100644 --- a/docs/prototype/fx_graph_mode_ptq_dynamic.html +++ b/docs/prototype/fx_graph_mode_ptq_dynamic.html @@ -9,7 +9,7 @@ - (prototype) FX Graph Mode Post Training Dynamic Quantization — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) FX Graph Mode Post Training Dynamic Quantization — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/fx_graph_mode_ptq_static.html b/docs/prototype/fx_graph_mode_ptq_static.html index 1a2c99f..ba627f1 100644 --- a/docs/prototype/fx_graph_mode_ptq_static.html +++ b/docs/prototype/fx_graph_mode_ptq_static.html @@ -9,7 +9,7 @@ - (prototype) FX Graph Mode Post Training Static Quantization — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) FX Graph Mode Post Training Static Quantization — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/fx_graph_mode_quant_guide.html b/docs/prototype/fx_graph_mode_quant_guide.html index 05a8ec6..5f73f99 100644 --- a/docs/prototype/fx_graph_mode_quant_guide.html +++ b/docs/prototype/fx_graph_mode_quant_guide.html @@ -9,7 +9,7 @@ - (prototype) FX Graph Mode Quantization User Guide — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) FX Graph Mode Quantization User Guide — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/gpu_quantization_torchao_tutorial.html b/docs/prototype/gpu_quantization_torchao_tutorial.html index af4cf75..2a69474 100644 --- a/docs/prototype/gpu_quantization_torchao_tutorial.html +++ b/docs/prototype/gpu_quantization_torchao_tutorial.html @@ -9,7 +9,7 @@ - (prototype) GPU Quantization with TorchAO — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) GPU Quantization with TorchAO — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/graph_mode_dynamic_bert_tutorial.html b/docs/prototype/graph_mode_dynamic_bert_tutorial.html index aafe69f..cae00e7 100644 --- a/docs/prototype/graph_mode_dynamic_bert_tutorial.html +++ b/docs/prototype/graph_mode_dynamic_bert_tutorial.html @@ -9,7 +9,7 @@ - (prototype) Graph Mode Dynamic Quantization on BERT — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) Graph Mode Dynamic Quantization on BERT — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/inductor_cpp_wrapper_tutorial.html b/docs/prototype/inductor_cpp_wrapper_tutorial.html index 86ec016..6838b84 100644 --- a/docs/prototype/inductor_cpp_wrapper_tutorial.html +++ b/docs/prototype/inductor_cpp_wrapper_tutorial.html @@ -9,7 +9,7 @@ - Inductor C++ Wrapper Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + Inductor C++ Wrapper Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/inductor_windows_cpu.html b/docs/prototype/inductor_windows_cpu.html new file mode 100644 index 0000000..02d07e6 --- /dev/null +++ b/docs/prototype/inductor_windows_cpu.html @@ -0,0 +1,1183 @@ + + + + + + + + + + + + 如何在 Windows CPU 上使用 TorchInductor — PyTorch Tutorials 2.5.0+cu124 documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    • 如何在 Windows CPU 上使用 TorchInductor
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    prototype/inductor_windows_cpu
    + + + + +
    + + + + + + + +
    + +
    +
    + +
    +

    如何在 Windows CPU 上使用 TorchInductor

    +

    Author: Zhaoqiong Zheng, Xu, Han

    +

    TorchInductor 是一个编译器后端，它将 TorchDynamo 生成的 FX 图转换为高度优化的 C++/Triton 内核。 +本教程将指导在 Windows CPU 上使用 TorchInductor。

    +
    +
    +
    +
    +
    +
    + What you will learn
    +
      +

    • 如何在 Windows CPU 上编译和执行使用 PyTorch 的 Python 函数

      • +

    • TorchInductor 使用 C++/Triton 内核进行优化的基础知识

      • +
    +
    +
    +
    +
    +
    +
    +
    + Prerequisites
    +
      +

    • PyTorch v2.5 或更高版本

      • +

    • Microsoft Visual C++ (MSVC)

      • +

    • Windows 版 Miniforge

      • +
    +
    +
    +
    +
    +
    +
    +

    安装所需软件

    +

    首先，让我们安装所需的软件。TorchInductor 优化需要 C++ 编译器。 +在本示例中，我们将使用 Microsoft Visual C++ (MSVC)。

    +
      +

    1. 下载并安装 MSVC。

      2. +

    2. 在安装过程中，在 工作负载 表中的 桌面和移动 部分选择 使用 C++ 进行桌面开发。然后安装软件。

      3. +
    +
    +

    Note

    +

    我们推荐使用 C++ 编译器 Clang 和 Intel 编译器。 +请查看 更高性能的替代编译器。

    +
    +
      +

    1. 下载并安装 Miniforge3-Windows-x86_64.exe。

      2. +
    +
    +
    +

    设置环境

    +
      +

    1. 通过 cmd.exe 打开命令行环境。

      2. +

    2. 使用以下命令激活 MSVC:

      +
      "C:/Program Files/Microsoft Visual Studio/2022/Community/VC/Auxiliary/Build/vcvars64.bat"
+
      +
      +
      3. +

    3. 使用以下命令激活 conda:

      +
      "C:/ProgramData/miniforge3/Scripts/activate.bat"
+
      +
      +
      4. +

    4. 创建并激活conda环境:

      +
      conda create -n inductor_cpu_windows python=3.10 -y
+conda activate inductor_cpu_windows
+
      +
      +
      5. +

    5. 安装 PyTorch 2.5 或更新版本。

      6. +
    +
    +
    +

    在 Windows CPU 上使用 TorchInductor

    +

    这里有一个简单的例子来演示如何使用 TorchInductor：

    +
    import torch
+def foo(x, y):
+    a = torch.sin(x)
+    b = torch.cos(y)
+    return a + b
+opt_foo1 = torch.compile(foo)
+print(opt_foo1(torch.randn(10, 10), torch.randn(10, 10)))
+
    +
    +

    以下是此代码可能返回的示例输出：

    +
    tensor([[-3.9074e-02,  1.3994e+00,  1.3894e+00,  3.2630e-01,  8.3060e-01,
+        1.1833e+00,  1.4016e+00,  7.1905e-01,  9.0637e-01, -1.3648e+00],
+        [ 1.3728e+00,  7.2863e-01,  8.6888e-01, -6.5442e-01,  5.6790e-01,
+        5.2025e-01, -1.2647e+00,  1.2684e+00, -1.2483e+00, -7.2845e-01],
+        [-6.7747e-01,  1.2028e+00,  1.1431e+00,  2.7196e-02,  5.5304e-01,
+        6.1945e-01,  4.6654e-01, -3.7376e-01,  9.3644e-01,  1.3600e+00],
+        [-1.0157e-01,  7.7200e-02,  1.0146e+00,  8.8175e-02, -1.4057e+00,
+        8.8119e-01,  6.2853e-01,  3.2773e-01,  8.5082e-01,  8.4615e-01],
+        [ 1.4140e+00,  1.2130e+00, -2.0762e-01,  3.3914e-01,  4.1122e-01,
+        8.6895e-01,  5.8852e-01,  9.3310e-01,  1.4101e+00,  9.8318e-01],
+        [ 1.2355e+00,  7.9290e-02,  1.3707e+00,  1.3754e+00,  1.3768e+00,
+        9.8970e-01,  1.1171e+00, -5.9944e-01,  1.2553e+00,  1.3394e+00],
+        [-1.3428e+00,  1.8400e-01,  1.1756e+00, -3.0654e-01,  9.7973e-01,
+        1.4019e+00,  1.1886e+00, -1.9194e-01,  1.3632e+00,  1.1811e+00],
+        [-7.1615e-01,  4.6622e-01,  1.2089e+00,  9.2011e-01,  1.0659e+00,
+        9.0892e-01,  1.1932e+00,  1.3888e+00,  1.3898e+00,  1.3218e+00],
+        [ 1.4139e+00, -1.4000e-01,  9.1192e-01,  3.0175e-01, -9.6432e-01,
+        -1.0498e+00,  1.4115e+00, -9.3212e-01, -9.0964e-01,  1.0127e+00],
+        [ 5.7244e-04,  1.2799e+00,  1.3595e+00,  1.0907e+00,  3.7191e-01,
+        1.4062e+00,  1.3672e+00,  6.8502e-02,  8.5216e-01,  8.6046e-01]])
+
    +
    +
    +
    +

    使用替代编译器以获得更好的性能

    +

    为了提高 Windows Inductor 的性能，您可以使用 Intel 编译器或 LLVM 编译器。然而，它们依赖于 Microsoft Visual C++ (MSVC) 的运行时库。因此，您的第一步应该是安装 MSVC。

    +
    +

    Intel 编译器

    +
      +

    1. 下载并安装 Intel 编译器 的 Windows 版本。

      2. +

    2. 使用 CXX 环境变量 set CXX=icx-cl 设置 Windows Inductor 编译器。

      3. +
    +

    Intel 还提供了一个全面的分步指南，包含性能数据。请查看 Intel® oneAPI DPC++/C++ Compiler Boosts PyTorch* Inductor Performance on Windows* for CPU Devices。

    +
    +
    +

    LLVM 编译器

    +
      +

    1. 下载并安装 LLVM 编译器 并选择 win64 版本。

      2. +

    2. 使用 CXX 环境变量 set CXX=clang-cl 设置 Windows Inductor 编译器。

      3. +
    +
    +
    +
    +

    结论

    +

    在本教程中，我们学习了如何在 Windows CPU 上使用 PyTorch 的 Inductor。此外，我们还讨论了使用 Intel 编译器和 LLVM 编译器进一步提高性能的方法。

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    + + + + + + + + \ No newline at end of file diff --git a/docs/prototype/ios_coreml_workflow.html b/docs/prototype/ios_coreml_workflow.html index e2517fe..cf3126f 100644 --- a/docs/prototype/ios_coreml_workflow.html +++ b/docs/prototype/ios_coreml_workflow.html @@ -9,7 +9,7 @@ - (Prototype) Convert Mobilenetv2 to Core ML — PyTorch Tutorials 2.3.0+cu121 documentation + (Prototype) Convert Mobilenetv2 to Core ML — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/ios_gpu_workflow.html b/docs/prototype/ios_gpu_workflow.html index 530dad5..e823b77 100644 --- a/docs/prototype/ios_gpu_workflow.html +++ b/docs/prototype/ios_gpu_workflow.html @@ -9,7 +9,7 @@ - (Prototype) Use iOS GPU in PyTorch — PyTorch Tutorials 2.3.0+cu121 documentation + (Prototype) Use iOS GPU in PyTorch — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/maskedtensor_adagrad.html b/docs/prototype/maskedtensor_adagrad.html index 194a5ec..44fc76c 100644 --- a/docs/prototype/maskedtensor_adagrad.html +++ b/docs/prototype/maskedtensor_adagrad.html @@ -9,7 +9,7 @@ - (Prototype) Efficiently writing “sparse” semantics for Adagrad with MaskedTensor — PyTorch Tutorials 2.3.0+cu121 documentation + (Prototype) Efficiently writing “sparse” semantics for Adagrad with MaskedTensor — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/maskedtensor_advanced_semantics.html b/docs/prototype/maskedtensor_advanced_semantics.html index 8778bef..5211f87 100644 --- a/docs/prototype/maskedtensor_advanced_semantics.html +++ b/docs/prototype/maskedtensor_advanced_semantics.html @@ -9,7 +9,7 @@ - (Prototype) MaskedTensor Advanced Semantics — PyTorch Tutorials 2.3.0+cu121 documentation + (Prototype) MaskedTensor Advanced Semantics — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/maskedtensor_overview.html b/docs/prototype/maskedtensor_overview.html index be1887e..8639ffc 100644 --- a/docs/prototype/maskedtensor_overview.html +++ b/docs/prototype/maskedtensor_overview.html @@ -9,7 +9,7 @@ - (Prototype) MaskedTensor Overview — PyTorch Tutorials 2.3.0+cu121 documentation + (Prototype) MaskedTensor Overview — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/maskedtensor_sparsity.html b/docs/prototype/maskedtensor_sparsity.html index c4f1156..3c0724b 100644 --- a/docs/prototype/maskedtensor_sparsity.html +++ b/docs/prototype/maskedtensor_sparsity.html @@ -9,7 +9,7 @@ - (Prototype) MaskedTensor Sparsity — PyTorch Tutorials 2.3.0+cu121 documentation + (Prototype) MaskedTensor Sparsity — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/nestedtensor.html b/docs/prototype/nestedtensor.html index 6b75739..d9bbb62 100644 --- a/docs/prototype/nestedtensor.html +++ b/docs/prototype/nestedtensor.html @@ -9,7 +9,7 @@ - Getting Started with Nested Tensors — PyTorch Tutorials 2.3.0+cu121 documentation + Getting Started with Nested Tensors — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/nnapi_mobilenetv2.html b/docs/prototype/nnapi_mobilenetv2.html index 88ec38b..c2c2776 100644 --- a/docs/prototype/nnapi_mobilenetv2.html +++ b/docs/prototype/nnapi_mobilenetv2.html @@ -9,7 +9,7 @@ - (Beta) Convert MobileNetV2 to NNAPI — PyTorch Tutorials 2.3.0+cu121 documentation + (Beta) Convert MobileNetV2 to NNAPI — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/numeric_suite_tutorial.html b/docs/prototype/numeric_suite_tutorial.html index ba80a4c..8ba1560 100644 --- a/docs/prototype/numeric_suite_tutorial.html +++ b/docs/prototype/numeric_suite_tutorial.html @@ -9,7 +9,7 @@ - PyTorch Numeric Suite Tutorial — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch Numeric Suite Tutorial — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/prototype_index.html b/docs/prototype/prototype_index.html index ec5a87c..bfdea00 100644 --- a/docs/prototype/prototype_index.html +++ b/docs/prototype/prototype_index.html @@ -9,7 +9,7 @@ - PyTorch Prototype Recipes — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch Prototype Recipes — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/pt2e_quant_ptq.html b/docs/prototype/pt2e_quant_ptq.html index 02173ac..c3b373d 100644 --- a/docs/prototype/pt2e_quant_ptq.html +++ b/docs/prototype/pt2e_quant_ptq.html @@ -9,7 +9,7 @@ - (prototype) PyTorch 2 Export Post Training Quantization — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) PyTorch 2 Export Post Training Quantization — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/pt2e_quant_qat.html b/docs/prototype/pt2e_quant_qat.html index ef60fff..bc882c1 100644 --- a/docs/prototype/pt2e_quant_qat.html +++ b/docs/prototype/pt2e_quant_qat.html @@ -9,7 +9,7 @@ - (prototype) PyTorch 2 Export Quantization-Aware Training (QAT) — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) PyTorch 2 Export Quantization-Aware Training (QAT) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/pt2e_quant_x86_inductor.html b/docs/prototype/pt2e_quant_x86_inductor.html index 8d238cc..9a18d47 100644 --- a/docs/prototype/pt2e_quant_x86_inductor.html +++ b/docs/prototype/pt2e_quant_x86_inductor.html @@ -9,7 +9,7 @@ - PyTorch 2 Export Quantization with X86 Backend through Inductor — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch 2 Export Quantization with X86 Backend through Inductor — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/pt2e_quantizer.html b/docs/prototype/pt2e_quantizer.html index 407580c..3c7c223 100644 --- a/docs/prototype/pt2e_quantizer.html +++ b/docs/prototype/pt2e_quantizer.html @@ -9,7 +9,7 @@ - How to Write a Quantizer for PyTorch 2 Export Quantization — PyTorch Tutorials 2.3.0+cu121 documentation + How to Write a Quantizer for PyTorch 2 Export Quantization — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/semi_structured_sparse.html b/docs/prototype/semi_structured_sparse.html index 52f01a8..b48b739 100644 --- a/docs/prototype/semi_structured_sparse.html +++ b/docs/prototype/semi_structured_sparse.html @@ -9,7 +9,7 @@ - (prototype) Accelerating BERT with semi-structured (2:4) sparsity — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) Accelerating BERT with semi-structured (2:4) sparsity — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/skip_param_init.html b/docs/prototype/skip_param_init.html index 68270ac..ebf3902 100644 --- a/docs/prototype/skip_param_init.html +++ b/docs/prototype/skip_param_init.html @@ -9,7 +9,7 @@ - Skipping Module Parameter Initialization — PyTorch Tutorials 2.3.0+cu121 documentation + Skipping Module Parameter Initialization — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/torchscript_freezing.html b/docs/prototype/torchscript_freezing.html index 0b842f5..42fcfea 100644 --- a/docs/prototype/torchscript_freezing.html +++ b/docs/prototype/torchscript_freezing.html @@ -9,7 +9,7 @@ - Model Freezing in TorchScript — PyTorch Tutorials 2.3.0+cu121 documentation + Model Freezing in TorchScript — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/tracing_based_selective_build.html b/docs/prototype/tracing_based_selective_build.html index 9ee264c..1052625 100644 --- a/docs/prototype/tracing_based_selective_build.html +++ b/docs/prototype/tracing_based_selective_build.html @@ -9,7 +9,7 @@ - (prototype) Tracing-based Selective Build Mobile Interpreter in Android and iOS — PyTorch Tutorials 2.3.0+cu121 documentation + (prototype) Tracing-based Selective Build Mobile Interpreter in Android and iOS — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/vmap_recipe.html b/docs/prototype/vmap_recipe.html index 4a3824e..cf1f619 100644 --- a/docs/prototype/vmap_recipe.html +++ b/docs/prototype/vmap_recipe.html @@ -9,7 +9,7 @@ - torch.vmap — PyTorch Tutorials 2.3.0+cu121 documentation + torch.vmap — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/prototype/vulkan_workflow.html b/docs/prototype/vulkan_workflow.html index 97a7c57..773afdb 100644 --- a/docs/prototype/vulkan_workflow.html +++ b/docs/prototype/vulkan_workflow.html @@ -9,7 +9,7 @@ - PyTorch Vulkan Backend User Workflow — PyTorch Tutorials 2.3.0+cu121 documentation + PyTorch Vulkan Backend User Workflow — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/amx.html b/docs/recipes/amx.html index 0c59611..a8a412d 100644 --- a/docs/recipes/amx.html +++ b/docs/recipes/amx.html @@ -9,7 +9,7 @@ - 利用英特尔®高级矩阵扩展(Intel® Advanced Matrix Extensions) — PyTorch Tutorials 2.3.0+cu121 documentation + 利用英特尔®高级矩阵扩展(Intel® Advanced Matrix Extensions) — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/android_native_app_with_custom_op.html b/docs/recipes/android_native_app_with_custom_op.html index bb46830..3361ff0 100644 --- a/docs/recipes/android_native_app_with_custom_op.html +++ b/docs/recipes/android_native_app_with_custom_op.html @@ -9,7 +9,7 @@ - Making Native Android Application that uses PyTorch prebuilt libraries — PyTorch Tutorials 2.3.0+cu121 documentation + Making Native Android Application that uses PyTorch prebuilt libraries — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/bundled_inputs.html b/docs/recipes/bundled_inputs.html index 23e18f6..71b77ff 100644 --- a/docs/recipes/bundled_inputs.html +++ b/docs/recipes/bundled_inputs.html @@ -9,7 +9,7 @@ - (beta) Bundling inputs to PyTorch Models — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Bundling inputs to PyTorch Models — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/compiling_optimizer.html b/docs/recipes/compiling_optimizer.html index 7eff5ee..dcb71f1 100644 --- a/docs/recipes/compiling_optimizer.html +++ b/docs/recipes/compiling_optimizer.html @@ -9,7 +9,7 @@ - (beta) 使用 torch.compile 编译优化器 — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) 使用 torch.compile 编译优化器 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/compiling_optimizer_lr_scheduler.html b/docs/recipes/compiling_optimizer_lr_scheduler.html index 7adb311..1df20c0 100644 --- a/docs/recipes/compiling_optimizer_lr_scheduler.html +++ b/docs/recipes/compiling_optimizer_lr_scheduler.html @@ -9,7 +9,7 @@ - (beta) Running the compiled optimizer with an LR Scheduler — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Running the compiled optimizer with an LR Scheduler — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/cuda_rpc.html b/docs/recipes/cuda_rpc.html index 67744ad..963eca1 100644 --- a/docs/recipes/cuda_rpc.html +++ b/docs/recipes/cuda_rpc.html @@ -9,7 +9,7 @@ - 使用TensorPipe CUDA RPC进行设备到设备通信 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用TensorPipe CUDA RPC进行设备到设备通信 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/deployment_with_flask.html b/docs/recipes/deployment_with_flask.html index 3fa450a..0e0f359 100644 --- a/docs/recipes/deployment_with_flask.html +++ b/docs/recipes/deployment_with_flask.html @@ -9,7 +9,7 @@ - 使用 Flask 进行部署 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用 Flask 进行部署 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/distributed_checkpoint_recipe.html b/docs/recipes/distributed_checkpoint_recipe.html index 017037b..280b602 100644 --- a/docs/recipes/distributed_checkpoint_recipe.html +++ b/docs/recipes/distributed_checkpoint_recipe.html @@ -9,7 +9,7 @@ - 分布式检查点 (DCP) 入门 — PyTorch Tutorials 2.3.0+cu121 documentation + 分布式检查点 (DCP) 入门 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/distributed_device_mesh.html b/docs/recipes/distributed_device_mesh.html index 841f9cc..ee923a1 100644 --- a/docs/recipes/distributed_device_mesh.html +++ b/docs/recipes/distributed_device_mesh.html @@ -9,7 +9,7 @@ - 开始使用 DeviceMesh — PyTorch Tutorials 2.3.0+cu121 documentation + 开始使用 DeviceMesh — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/distributed_optim_torchscript.html b/docs/recipes/distributed_optim_torchscript.html index cf422ec..c02c455 100644 --- a/docs/recipes/distributed_optim_torchscript.html +++ b/docs/recipes/distributed_optim_torchscript.html @@ -9,7 +9,7 @@ - 支持 TorchScript 的分布式优化器 — PyTorch Tutorials 2.3.0+cu121 documentation + 支持 TorchScript 的分布式优化器 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/distributed_rpc_profiling.html b/docs/recipes/distributed_rpc_profiling.html index fab889f..2bdec0d 100644 --- a/docs/recipes/distributed_rpc_profiling.html +++ b/docs/recipes/distributed_rpc_profiling.html @@ -9,7 +9,7 @@ - Profiling PyTorch RPC-Based Workloads — PyTorch Tutorials 2.3.0+cu121 documentation + Profiling PyTorch RPC-Based Workloads — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/fuse.html b/docs/recipes/fuse.html index 8b70386..44832be 100644 --- a/docs/recipes/fuse.html +++ b/docs/recipes/fuse.html @@ -9,7 +9,7 @@ - Fuse Modules Recipe — PyTorch Tutorials 2.3.0+cu121 documentation + Fuse Modules Recipe — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/inference_tuning_on_aws_graviton.html b/docs/recipes/inference_tuning_on_aws_graviton.html index dd3f81b..50c22d1 100644 --- a/docs/recipes/inference_tuning_on_aws_graviton.html +++ b/docs/recipes/inference_tuning_on_aws_graviton.html @@ -9,7 +9,7 @@ - (Beta) PyTorch在AWS Graviton处理器上的推理性能优化 — PyTorch Tutorials 2.3.0+cu121 documentation + (Beta) PyTorch在AWS Graviton处理器上的推理性能优化 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/intel_extension_for_pytorch.html b/docs/recipes/intel_extension_for_pytorch.html index 9debeff..39c5c5e 100644 --- a/docs/recipes/intel_extension_for_pytorch.html +++ b/docs/recipes/intel_extension_for_pytorch.html @@ -9,7 +9,7 @@ - Intel® Extension for PyTorch* — PyTorch Tutorials 2.3.0+cu121 documentation + Intel® Extension for PyTorch* — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/intel_neural_compressor_for_pytorch.html b/docs/recipes/intel_neural_compressor_for_pytorch.html index c3fe2d0..04f7370 100644 --- a/docs/recipes/intel_neural_compressor_for_pytorch.html +++ b/docs/recipes/intel_neural_compressor_for_pytorch.html @@ -9,7 +9,7 @@ - 使用Intel® Neural Compressor实现PyTorch的简易量化 — PyTorch Tutorials 2.3.0+cu121 documentation + 使用Intel® Neural Compressor实现PyTorch的简易量化 — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/mobile_interpreter.html b/docs/recipes/mobile_interpreter.html index cc0bfb6..3807f01 100644 --- a/docs/recipes/mobile_interpreter.html +++ b/docs/recipes/mobile_interpreter.html @@ -9,7 +9,7 @@ - (beta) Efficient mobile interpreter in Android and iOS — PyTorch Tutorials 2.3.0+cu121 documentation + (beta) Efficient mobile interpreter in Android and iOS — PyTorch Tutorials 2.5.0+cu124 documentation @@ -278,7 +278,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/mobile_perf.html b/docs/recipes/mobile_perf.html index 23ab204..8826cc2 100644 --- a/docs/recipes/mobile_perf.html +++ b/docs/recipes/mobile_perf.html @@ -9,7 +9,7 @@ - Pytorch Mobile Performance Recipes — PyTorch Tutorials 2.3.0+cu121 documentation + Pytorch Mobile Performance Recipes — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/model_preparation_android.html b/docs/recipes/model_preparation_android.html index 7a4d31c..73faf5a 100644 --- a/docs/recipes/model_preparation_android.html +++ b/docs/recipes/model_preparation_android.html @@ -9,7 +9,7 @@ - Model Preparation for Android Recipe — PyTorch Tutorials 2.3.0+cu121 documentation + Model Preparation for Android Recipe — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
    diff --git a/docs/recipes/model_preparation_ios.html b/docs/recipes/model_preparation_ios.html index 7b9a760..bdcf175 100644 --- a/docs/recipes/model_preparation_ios.html +++ b/docs/recipes/model_preparation_ios.html @@ -9,7 +9,7 @@ - Model Preparation for iOS Recipe — PyTorch Tutorials 2.3.0+cu121 documentation + Model Preparation for iOS Recipe — PyTorch Tutorials 2.5.0+cu124 documentation @@ -276,7 +276,7 @@
    - 2.3.0+cu121 + 2.5.0+cu124
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60, 61, 73, 95, 97, 109, 112, 118, 119, 122, 124, 126, 134, 136, 143, 144, 145, 151, 157, 160, 161, 164, 172, 173, 174, 175, 177, 178, 179, 183, 185, 203], "deep": [0, 1, 6, 12, 13, 25, 47, 49, 52, 60, 69, 97, 101, 103, 117, 119, 120, 121, 127, 128, 130, 138, 145, 146, 147, 154, 157, 158, 161, 166, 172, 176, 178, 212, 219, 222, 227, 262], "learn": [0, 1, 4, 6, 7, 9, 13, 14, 17, 20, 21, 25, 43, 45, 47, 49, 51, 52, 53, 54, 55, 56, 57, 60, 61, 69, 73, 79, 81, 82, 84, 86, 87, 97, 101, 103, 104, 105, 107, 108, 112, 113, 114, 115, 116, 121, 122, 123, 126, 127, 128, 132, 133, 134, 136, 137, 145, 146, 149, 153, 154, 155, 157, 159, 160, 161, 163, 166, 167, 170, 172, 174, 175, 176, 178, 179, 185, 190, 191, 192, 193, 194, 197, 198, 200, 201, 202, 204, 205, 209, 212, 217, 222, 224], "devic": [0, 1, 3, 6, 7, 8, 9, 10, 11, 14, 16, 18, 19, 20, 23, 24, 25, 33, 38, 40, 42, 43, 44, 45, 48, 49, 50, 52, 53, 55, 56, 58, 59, 60, 61, 63, 64, 72, 73, 79, 80, 87, 89, 95, 97, 99, 104, 105, 110, 111, 115, 117, 118, 120, 121, 123, 124, 125, 126, 130, 133, 134, 135, 136, 137, 138, 139, 145, 147, 148, 150, 151, 153, 155, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 169, 175, 176, 179, 180, 182, 183, 185, 186, 187, 188, 189, 194, 195, 198, 199, 200, 202, 203, 209, 211, 212, 213, 215, 219, 220, 221, 224, 229, 231, 232, 236, 240, 241, 245, 248, 253, 254, 256, 257, 260], "case": [0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 13, 14, 16, 17, 20, 22, 23, 25, 32, 43, 49, 51, 60, 61, 68, 73, 75, 82, 85, 97, 98, 99, 101, 102, 103, 108, 111, 112, 120, 121, 122, 123, 124, 125, 126, 127, 130, 131, 135, 136, 137, 139, 140, 142, 145, 146, 148, 150, 151, 153, 154, 155, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 169, 172, 173, 174, 175, 177, 178, 179, 180, 185, 186, 190, 192, 193, 194, 195, 198, 201, 202, 203, 206, 207, 209, 221, 224, 254], "stream": [0, 3, 15, 82, 98, 119, 135, 150, 159, 187, 209, 221], "camera": [0, 121, 159], "open": [0, 5, 9, 12, 20, 38, 49, 50, 58, 59, 60, 75, 87, 90, 103, 104, 105, 107, 115, 116, 117, 119, 122, 127, 128, 136, 138, 139, 140, 144, 147, 153, 155, 166, 167, 169, 172, 182, 186, 189, 205, 207, 209, 214, 221, 223, 224, 225, 226, 230, 259], "network": [0, 2, 3, 5, 7, 8, 12, 13, 14, 17, 19, 20, 21, 25, 32, 35, 43, 46, 49, 51, 57, 60, 68, 69, 73, 78, 79, 81, 92, 97, 98, 100, 101, 103, 105, 107, 111, 116, 117, 119, 121, 125, 126, 130, 133, 134, 144, 150, 151, 154, 157, 158, 163, 166, 169, 170, 172, 178, 195, 197, 200, 202, 221, 227, 236, 254], "exchang": [0, 49, 105, 107, 122, 136, 166, 169], "an": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 32, 42, 43, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 61, 65, 67, 69, 73, 75, 76, 78, 80, 82, 83, 85, 86, 87, 92, 97, 98, 99, 100, 101, 105, 107, 108, 109, 110, 111, 112, 113, 116, 117, 121, 122, 123, 124, 126, 127, 128, 130, 131, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 150, 151, 153, 154, 155, 156, 157, 159, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 187, 188, 189, 190, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 214, 219, 221, 223, 224, 226, 228, 229, 233, 254, 259, 262, 264, 265], "repres": [0, 1, 5, 7, 10, 12, 13, 18, 20, 21, 25, 43, 49, 51, 52, 60, 63, 73, 75, 82, 85, 97, 103, 105, 107, 109, 110, 115, 116, 122, 123, 124, 126, 127, 137, 140, 142, 143, 144, 147, 148, 160, 161, 164, 166, 172, 174, 175, 177, 179, 183, 190, 194, 198, 199, 205, 264], "With": [0, 4, 8, 10, 15, 16, 17, 18, 19, 21, 42, 48, 52, 58, 59, 61, 73, 85, 101, 115, 124, 131, 136, 138, 145, 150, 151, 153, 162, 163, 164, 165, 166, 177, 178, 185, 187, 195, 198, 200, 201, 202, 205, 212, 225, 226, 229, 262, 264], "ai": [0, 75, 90, 99, 100, 104, 123, 126, 138, 147, 166, 176, 215, 221, 230, 252], "develop": [0, 1, 3, 5, 8, 10, 12, 15, 23, 24, 58, 59, 60, 82, 85, 101, 105, 107, 113, 115, 136, 140, 148, 156, 164, 169, 180, 185, 187, 188, 189, 190, 193, 198, 199, 201, 205, 209, 221, 223, 228, 236, 264, 265], "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 34, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 64, 65, 67, 68, 73, 76, 78, 79, 80, 82, 83, 85, 87, 95, 97, 98, 99, 100, 101, 102, 103, 105, 107, 108, 109, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 133, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 212, 219, 221, 223, 224, 225, 226, 228, 229, 232, 233, 250, 254, 262, 264], "more": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 17, 19, 20, 21, 22, 25, 38, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 55, 56, 61, 67, 69, 73, 75, 76, 78, 79, 85, 97, 98, 99, 101, 102, 103, 105, 109, 110, 111, 112, 113, 115, 116, 117, 118, 120, 121, 122, 124, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 140, 142, 143, 144, 147, 150, 151, 153, 154, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 177, 178, 179, 180, 183, 184, 185, 186, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 202, 204, 205, 206, 207, 209, 221, 224, 232, 262, 265], "move": [0, 1, 4, 5, 7, 12, 23, 26, 27, 28, 29, 30, 31, 40, 43, 47, 48, 73, 74, 99, 110, 122, 123, 124, 133, 134, 135, 137, 141, 147, 150, 153, 154, 155, 156, 158, 161, 163, 164, 165, 167, 168, 169, 171, 178, 179, 184, 189, 191, 199, 200, 207, 210, 224, 254], "between": [0, 1, 5, 6, 8, 11, 12, 14, 16, 17, 19, 21, 22, 23, 40, 47, 48, 49, 58, 59, 60, 65, 73, 82, 83, 85, 87, 95, 97, 98, 99, 102, 103, 108, 121, 123, 124, 126, 136, 137, 138, 144, 147, 148, 150, 151, 157, 161, 163, 164, 165, 166, 170, 172, 173, 174, 175, 177, 178, 179, 182, 185, 186, 187, 190, 191, 193, 196, 197, 199, 200, 201, 202, 219, 233, 264, 265], "state": [0, 1, 5, 8, 9, 10, 11, 12, 14, 17, 22, 38, 44, 49, 52, 53, 55, 60, 61, 78, 79, 87, 97, 98, 102, 112, 119, 122, 123, 127, 128, 130, 132, 134, 137, 138, 139, 142, 147, 153, 155, 157, 160, 161, 162, 163, 164, 166, 169, 182, 186, 190, 193, 196, 202, 217], "art": [0, 5, 44, 52, 79, 103, 119, 138, 157, 186], "tool": [0, 3, 6, 8, 14, 21, 25, 51, 60, 82, 87, 98, 123, 134, 136, 137, 145, 162, 165, 169, 170, 172, 178, 183, 196, 209, 210, 224], "choos": [0, 1, 8, 10, 12, 15, 44, 49, 52, 55, 59, 65, 87, 99, 111, 112, 124, 128, 134, 136, 144, 147, 154, 159, 160, 161, 166, 169, 172, 178, 179, 185, 186, 198, 200, 228], "combin": [0, 5, 10, 21, 61, 75, 87, 97, 98, 101, 103, 115, 120, 121, 123, 125, 127, 128, 130, 139, 151, 157, 158, 161, 164, 166, 184, 187, 194, 198, 200], "best": [0, 5, 6, 7, 8, 17, 23, 37, 43, 52, 58, 61, 73, 87, 98, 105, 108, 109, 112, 115, 117, 119, 121, 132, 135, 136, 138, 139, 145, 155, 158, 159, 161, 162, 164, 167, 185, 195, 200, 202, 221, 224, 264], "them": [0, 1, 2, 3, 5, 6, 8, 9, 10, 11, 12, 14, 17, 18, 19, 23, 25, 43, 44, 47, 48, 49, 51, 53, 55, 59, 60, 61, 65, 67, 68, 73, 75, 78, 87, 97, 98, 99, 100, 101, 102, 103, 105, 107, 108, 111, 112, 115, 116, 118, 121, 122, 124, 126, 127, 128, 130, 131, 135, 136, 137, 139, 140, 144, 145, 146, 150, 151, 153, 154, 155, 157, 159, 161, 162, 163, 164, 172, 177, 178, 179, 182, 185, 192, 194, 195, 196, 201, 202, 203, 209, 210, 212, 214, 219, 221, 226, 254, 262], "support": [0, 4, 6, 7, 11, 14, 15, 16, 17, 18, 19, 22, 23, 24, 42, 47, 51, 56, 60, 61, 73, 78, 80, 83, 85, 91, 97, 105, 107, 109, 113, 121, 122, 123, 126, 131, 133, 134, 136, 137, 138, 142, 145, 148, 154, 156, 157, 159, 160, 162, 163, 164, 169, 172, 173, 174, 175, 177, 178, 179, 180, 182, 183, 184, 186, 188, 189, 190, 191, 192, 194, 195, 196, 197, 198, 199, 200, 201, 202, 205, 207, 208, 209, 211, 212, 221, 224, 229, 252, 254, 262, 263], "commun": [0, 11, 15, 18, 55, 61, 110, 113, 121, 122, 123, 124, 126, 132, 133, 134, 156, 160, 162, 163, 164, 169, 172, 177, 197], "partner": [0, 113], "about": [0, 1, 4, 5, 6, 7, 8, 9, 10, 14, 15, 17, 19, 20, 21, 22, 23, 38, 42, 43, 49, 52, 53, 54, 55, 57, 73, 78, 87, 97, 99, 100, 101, 102, 103, 105, 107, 108, 109, 112, 113, 117, 119, 120, 121, 122, 126, 127, 128, 131, 133, 134, 136, 139, 140, 143, 144, 145, 146, 153, 155, 158, 159, 160, 161, 162, 164, 165, 166, 167, 169, 172, 173, 174, 175, 177, 179, 184, 185, 186, 188, 189, 191, 192, 193, 195, 197, 198, 199, 200, 201, 202, 204, 205, 209, 210, 223, 224, 229, 262], "ar": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 37, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 55, 56, 58, 59, 60, 61, 67, 68, 69, 73, 75, 76, 78, 80, 82, 83, 85, 87, 95, 97, 98, 99, 100, 101, 102, 103, 105, 107, 108, 109, 111, 112, 113, 115, 116, 117, 118, 119, 120, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 150, 151, 153, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 180, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 212, 219, 221, 223, 224, 229, 232, 242, 252, 254, 262, 264, 265, 266], "go": [0, 4, 11, 12, 13, 14, 16, 18, 19, 21, 22, 23, 25, 48, 49, 51, 58, 59, 60, 78, 95, 98, 101, 102, 105, 107, 108, 117, 119, 121, 122, 125, 127, 133, 136, 139, 142, 143, 144, 146, 158, 159, 161, 163, 166, 170, 178, 179, 180, 185, 188, 189, 190, 201, 205, 224, 229], "walk": [0, 5, 6, 10, 15, 16, 22, 23, 24, 25, 43, 54, 58, 59, 60, 61, 100, 114, 120, 121, 125, 145, 147, 163, 177, 180, 185, 187, 188, 189, 200, 205, 223], "through": [0, 1, 3, 4, 5, 6, 7, 8, 10, 13, 14, 15, 16, 17, 19, 21, 22, 23, 24, 25, 34, 43, 44, 47, 49, 52, 54, 55, 58, 59, 60, 61, 73, 75, 78, 84, 87, 97, 98, 99, 100, 101, 102, 105, 107, 108, 110, 114, 115, 118, 119, 120, 121, 122, 124, 125, 127, 130, 131, 136, 139, 143, 144, 145, 146, 147, 148, 150, 151, 153, 155, 156, 160, 161, 162, 163, 164, 165, 166, 169, 170, 172, 173, 175, 176, 177, 178, 183, 184, 185, 187, 188, 189, 190, 192, 196, 197, 198, 201, 202, 205, 206, 209, 210, 221, 223, 229, 264], "4": [0, 1, 2, 3, 5, 6, 7, 12, 13, 14, 16, 21, 23, 24, 25, 32, 34, 36, 40, 43, 45, 48, 51, 52, 53, 54, 55, 63, 64, 65, 73, 75, 80, 87, 90, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 108, 111, 113, 115, 116, 117, 119, 121, 122, 123, 125, 126, 129, 130, 132, 133, 136, 137, 145, 147, 148, 150, 153, 154, 157, 158, 160, 161, 162, 163, 164, 167, 172, 174, 175, 177, 179, 182, 185, 190, 191, 192, 193, 194, 197, 198, 199, 205, 209, 216, 220, 223, 246, 253, 254, 256, 262, 264, 265, 268], "main": [0, 1, 3, 4, 5, 6, 7, 11, 16, 19, 22, 23, 52, 53, 55, 58, 59, 61, 87, 97, 104, 107, 108, 113, 119, 122, 123, 127, 132, 135, 136, 138, 145, 158, 161, 162, 163, 164, 167, 174, 175, 177, 178, 179, 185, 187, 188, 198, 201, 206, 207, 209, 219, 221, 222, 223, 224, 227, 238, 258, 260, 262, 264, 266], "step": [0, 3, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 23, 37, 38, 43, 44, 47, 49, 52, 60, 61, 65, 67, 69, 73, 82, 85, 87, 89, 92, 94, 96, 97, 98, 99, 102, 103, 104, 105, 108, 110, 111, 115, 117, 118, 119, 120, 121, 122, 123, 127, 128, 130, 132, 134, 136, 137, 138, 140, 143, 145, 147, 150, 151, 154, 158, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 177, 178, 179, 180, 182, 183, 185, 186, 189, 194, 195, 196, 198, 199, 200, 201, 202, 203, 205, 207, 209, 210, 211, 212, 215, 217, 221, 222, 223, 224, 229, 231, 239, 245, 246, 251, 254, 255, 260], "we": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 32, 34, 39, 40, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 55, 58, 59, 60, 63, 64, 65, 67, 68, 69, 73, 75, 76, 78, 79, 82, 83, 85, 87, 95, 97, 98, 99, 101, 102, 103, 105, 108, 109, 111, 113, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 209, 210, 212, 223, 224, 225, 226, 229, 232, 250, 254, 262, 264], "work": [0, 1, 2, 4, 5, 6, 7, 9, 12, 14, 17, 18, 20, 21, 22, 23, 25, 42, 43, 49, 50, 51, 52, 55, 56, 58, 59, 60, 61, 73, 78, 85, 87, 97, 98, 100, 103, 113, 115, 116, 119, 121, 125, 127, 128, 130, 131, 132, 134, 135, 136, 137, 139, 140, 142, 143, 144, 146, 150, 153, 154, 155, 156, 157, 159, 160, 162, 164, 165, 166, 169, 172, 174, 175, 177, 179, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 202, 203, 204, 206, 207, 209, 221, 224, 225, 226, 254, 264, 265], "virtualenv": 0, "order": [0, 4, 6, 11, 12, 15, 17, 20, 22, 34, 44, 45, 49, 50, 55, 60, 63, 64, 65, 67, 68, 69, 73, 82, 87, 105, 107, 108, 109, 111, 113, 118, 121, 123, 125, 126, 128, 131, 134, 135, 136, 143, 144, 145, 146, 148, 156, 157, 163, 166, 167, 172, 173, 174, 175, 176, 179, 180, 183, 189, 192, 194, 195, 201, 202, 206, 223, 254], "avoid": [0, 5, 16, 44, 58, 59, 87, 97, 122, 123, 124, 130, 134, 135, 136, 148, 151, 153, 160, 162, 178, 185, 190, 191, 194, 197, 202, 203, 224], "conflict": [0, 16, 145], "your": [0, 2, 6, 8, 9, 11, 12, 14, 15, 17, 18, 19, 22, 23, 25, 38, 42, 43, 44, 45, 47, 49, 50, 51, 53, 54, 55, 58, 59, 61, 67, 73, 75, 78, 82, 87, 99, 101, 102, 103, 105, 107, 108, 109, 110, 112, 113, 114, 121, 122, 123, 125, 130, 131, 132, 133, 134, 136, 137, 138, 140, 142, 144, 146, 147, 148, 150, 153, 154, 156, 157, 158, 159, 160, 163, 164, 165, 167, 169, 170, 172, 173, 174, 175, 177, 178, 186, 187, 188, 189, 195, 197, 198, 199, 200, 201, 202, 203, 205, 206, 207, 210, 214, 219, 223, 225, 226, 247, 258, 259, 262, 264, 265, 269], "local": [0, 5, 6, 7, 8, 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175, 184, 186, 193, 198, 199, 200, 203, 209, 220, 227, 232, 238, 245, 247, 248, 265], "venv": 0, "sourc": [0, 1, 3, 5, 6, 7, 9, 10, 11, 12, 13, 14, 16, 17, 20, 22, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 55, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 122, 124, 125, 126, 127, 128, 130, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 164, 165, 166, 167, 169, 172, 173, 175, 178, 179, 182, 185, 187, 188, 190, 191, 192, 193, 194, 195, 196, 197, 200, 204, 205, 206, 207, 212, 219, 221, 223, 224, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 256, 257], "bin": [0, 4, 6, 22, 23, 92, 136, 187, 195, 196, 205, 209, 219, 221, 224, 227], "activ": [0, 5, 6, 9, 10, 12, 14, 15, 17, 19, 47, 52, 82, 93, 97, 99, 104, 122, 124, 132, 136, 138, 145, 146, 153, 157, 159, 165, 169, 178, 180, 183, 186, 187, 188, 196, 200, 201, 202, 206, 209, 220, 221, 229, 239, 258, 264], "need": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 32, 34, 43, 44, 45, 47, 49, 50, 51, 52, 53, 54, 55, 58, 59, 60, 61, 63, 64, 67, 75, 76, 79, 82, 83, 87, 97, 98, 99, 101, 102, 103, 105, 108, 111, 112, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 133, 134, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 173, 174, 175, 176, 178, 179, 180, 183, 185, 186, 188, 189, 190, 194, 195, 196, 198, 199, 200, 201, 202, 203, 205, 207, 209, 210, 221, 223, 224, 225, 226, 229, 254, 264], "instal": [0, 1, 5, 6, 7, 8, 17, 20, 23, 24, 50, 51, 53, 55, 57, 58, 87, 90, 94, 107, 115, 116, 118, 119, 122, 123, 124, 127, 128, 132, 133, 136, 137, 140, 142, 144, 147, 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254, 262], "feel": [0, 6, 10, 19, 43, 49, 78, 97, 103, 105, 107, 108, 112, 122, 143, 144, 145, 147, 148, 153, 169, 174, 175, 188], "free": [0, 6, 10, 19, 22, 23, 25, 43, 49, 60, 73, 78, 85, 97, 105, 107, 108, 112, 122, 126, 130, 136, 142, 143, 144, 147, 148, 153, 160, 162, 166, 169, 174, 175, 176, 188, 230, 247], "skip": [0, 1, 4, 5, 10, 14, 17, 19, 23, 42, 43, 98, 112, 116, 131, 142, 147, 162, 164, 169, 175, 183, 197, 202], "These": [0, 1, 5, 7, 8, 11, 12, 14, 17, 19, 20, 21, 25, 43, 49, 52, 55, 82, 87, 98, 100, 102, 103, 108, 109, 113, 117, 118, 136, 147, 158, 160, 161, 163, 165, 166, 172, 177, 178, 183, 185, 198, 199, 201, 202, 262, 264], "meant": [0, 6, 11, 85, 122, 192], "appli": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15, 17, 19, 23, 25, 51, 52, 58, 59, 60, 61, 64, 68, 73, 79, 82, 85, 97, 99, 108, 111, 113, 116, 119, 121, 123, 130, 131, 134, 135, 136, 139, 140, 142, 143, 146, 147, 148, 151, 153, 154, 155, 157, 160, 162, 163, 164, 166, 167, 172, 177, 178, 179, 182, 185, 186, 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158, 162, 163, 164, 169, 172, 173, 174, 175, 176, 177, 179, 180, 184, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 201, 205, 206, 210, 221, 223, 233, 254, 264], "know": [0, 1, 5, 6, 8, 11, 18, 19, 22, 23, 43, 49, 73, 95, 99, 101, 103, 108, 113, 125, 127, 128, 131, 136, 137, 139, 145, 147, 148, 150, 151, 155, 160, 161, 162, 166, 170, 174, 175, 177, 178, 179, 180, 183, 191, 196, 262, 264], "hit": [0, 5, 9, 19, 61, 73, 113, 124, 169], "ani": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19, 21, 22, 23, 43, 45, 47, 49, 51, 52, 53, 55, 60, 65, 67, 76, 97, 98, 100, 101, 103, 105, 107, 108, 110, 111, 112, 113, 115, 120, 123, 124, 125, 127, 131, 132, 136, 138, 139, 142, 143, 144, 147, 148, 150, 153, 154, 155, 159, 160, 161, 163, 164, 167, 169, 172, 174, 175, 177, 178, 182, 184, 186, 187, 188, 189, 190, 191, 192, 193, 195, 196, 199, 202, 203, 205, 208, 209, 210, 212, 219, 223, 226, 229, 241, 254, 262, 264], "give": [0, 1, 2, 5, 6, 11, 14, 17, 23, 25, 45, 47, 49, 50, 52, 58, 59, 60, 61, 73, 75, 79, 97, 98, 99, 101, 102, 103, 112, 118, 128, 132, 139, 143, 144, 145, 146, 147, 155, 159, 163, 166, 169, 172, 173, 174, 175, 177, 178, 183, 191, 194, 202, 224, 262, 264], "feedback": [0, 6, 9, 19, 122, 138, 143, 144, 147, 148, 177, 178, 186, 188, 189, 196, 197, 198, 205, 223], "d": [0, 2, 5, 6, 7, 8, 12, 19, 22, 52, 61, 63, 64, 65, 67, 71, 72, 76, 87, 89, 92, 95, 99, 103, 111, 113, 115, 122, 124, 126, 127, 128, 130, 134, 136, 138, 146, 147, 150, 153, 166, 169, 172, 176, 186, 193, 194, 199, 206, 209, 216, 221, 251, 264, 265], "hear": [0, 143, 144], "think": [0, 6, 22, 23, 44, 52, 68, 78, 98, 99, 101, 102, 103, 113, 144, 146, 160, 163, 165, 193, 206, 264], "click": [1, 7, 9, 12, 13, 14, 17, 20, 21, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 170, 173, 175, 179, 182, 185, 189, 190, 191, 192, 193, 194, 196, 204, 205, 206, 209, 212, 226, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 256, 257], "here": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 55, 58, 59, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 82, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 111, 112, 113, 114, 115, 116, 117, 118, 119, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 158, 160, 161, 163, 164, 165, 166, 167, 169, 170, 173, 174, 175, 176, 177, 179, 180, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 204, 205, 206, 209, 210, 212, 219, 221, 223, 224, 226, 229, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 256, 257, 262, 264, 265], "download": [1, 4, 6, 7, 9, 12, 13, 14, 17, 19, 20, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 58, 59, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 82, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 122, 123, 125, 126, 127, 128, 130, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 158, 159, 160, 161, 163, 165, 166, 167, 169, 170, 173, 175, 179, 183, 185, 188, 189, 190, 191, 192, 193, 194, 196, 198, 199, 204, 205, 206, 207, 209, 212, 221, 222, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 255, 256, 257, 268], "full": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 17, 19, 20, 22, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 50, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 111, 112, 113, 114, 115, 116, 117, 118, 119, 122, 123, 125, 126, 127, 128, 130, 132, 135, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 165, 166, 167, 169, 173, 175, 179, 182, 183, 185, 190, 191, 192, 193, 194, 195, 196, 199, 204, 205, 206, 209, 210, 212, 223, 229, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 256, 257], "author": [1, 5, 7, 9, 11, 12, 13, 14, 16, 17, 19, 24, 36, 42, 45, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 73, 81, 82, 83, 85, 86, 97, 98, 99, 101, 102, 103, 104, 107, 108, 109, 111, 112, 113, 114, 116, 117, 122, 123, 124, 126, 127, 128, 132, 133, 134, 135, 136, 137, 138, 140, 143, 144, 145, 147, 148, 150, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 173, 174, 175, 177, 178, 180, 182, 183, 184, 185, 186, 187, 188, 189, 198, 199, 200, 201, 202, 205, 206, 207, 209, 210, 212, 223, 265], "vincent": [1, 14, 137, 160], "moen": [1, 14, 137, 160], "separ": [1, 5, 6, 7, 8, 20, 22, 23, 25, 49, 52, 85, 97, 109, 124, 126, 139, 145, 147, 154, 158, 163, 166, 172, 179, 180, 182, 183, 190, 194, 198, 201, 257], "rl": [1, 61, 121, 160, 161, 162], "algorithm": [1, 5, 6, 10, 11, 12, 49, 52, 56, 69, 82, 87, 98, 99, 100, 101, 111, 118, 122, 124, 126, 130, 136, 137, 147, 156, 160, 163, 167, 212], "variou": [1, 8, 15, 47, 48, 49, 50, 60, 83, 85, 102, 109, 112, 116, 126, 144, 146, 157, 160, 163, 164, 172, 185, 192, 194], "piec": [1, 5, 8, 14, 59, 85, 159, 160, 164, 172, 176, 178, 179, 180, 189, 214], "assembl": [1, 8, 49, 135], "collect": [1, 4, 6, 11, 14, 15, 17, 18, 19, 21, 42, 43, 44, 45, 49, 55, 60, 61, 73, 75, 79, 97, 99, 103, 121, 122, 123, 124, 134, 135, 137, 144, 147, 150, 156, 161, 164, 176, 178, 202, 231], "final": [1, 6, 9, 10, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 42, 43, 47, 49, 52, 58, 60, 73, 75, 85, 87, 97, 102, 105, 107, 108, 109, 112, 113, 117, 118, 119, 122, 123, 124, 126, 127, 128, 130, 131, 135, 136, 140, 144, 145, 146, 147, 151, 153, 155, 157, 158, 160, 161, 162, 163, 164, 166, 169, 170, 176, 177, 178, 180, 185, 186, 188, 189, 190, 193, 198, 199, 200, 201, 202, 204, 205, 209], "function": [1, 3, 4, 5, 6, 8, 9, 10, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 32, 38, 42, 43, 48, 49, 51, 53, 55, 59, 60, 61, 62, 65, 67, 68, 69, 75, 76, 79, 80, 82, 83, 89, 90, 92, 93, 94, 95, 96, 101, 102, 103, 104, 105, 107, 108, 109, 111, 112, 113, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 135, 136, 137, 139, 143, 144, 145, 147, 148, 149, 150, 153, 154, 156, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 180, 182, 186, 187, 188, 190, 191, 192, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 209, 210, 212, 221, 222, 224, 231, 232, 233, 234, 240, 247, 250, 251, 254, 256, 258], "trainabl": [1, 6, 68, 97, 99, 158], "paramet": [1, 4, 5, 7, 9, 10, 11, 12, 14, 15, 16, 17, 19, 20, 22, 24, 25, 32, 33, 35, 37, 38, 43, 44, 47, 48, 49, 51, 52, 61, 65, 67, 68, 69, 73, 75, 85, 87, 89, 92, 94, 96, 97, 98, 99, 101, 102, 103, 104, 109, 110, 111, 115, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 132, 134, 135, 136, 137, 138, 139, 140, 142, 143, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 158, 161, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 183, 185, 190, 196, 197, 198, 202, 204, 211, 212, 213, 215, 221, 222, 229, 231, 236, 238, 242, 243, 244, 245, 246, 250, 251, 254, 255, 260, 268], "tutori": [1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 43, 44, 45, 46, 51, 52, 53, 55, 56, 58, 59, 60, 61, 73, 74, 75, 77, 79, 81, 82, 84, 86, 87, 91, 97, 98, 100, 101, 104, 105, 106, 107, 108, 112, 113, 115, 116, 117, 118, 119, 121, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 155, 156, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 176, 178, 179, 181, 182, 183, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 209, 210, 212, 218, 223, 224, 229, 230, 235, 236, 238, 248, 252, 254], "guid": [1, 17, 58, 59, 61, 82, 85, 123, 136, 148, 159, 169, 174, 175, 177, 185, 197, 202, 230, 263], "ground": [1, 14, 44, 73, 179], "aim": [1, 6, 61, 75, 97, 100, 153, 161, 164, 193], "focus": [1, 3, 20, 97, 100, 150, 156, 166], "rel": [1, 5, 6, 7, 117, 119, 125, 126, 138, 146, 150, 151, 164, 166, 177, 187, 198, 222], "straightforward": [1, 5, 6, 16, 17, 49, 60, 97, 98, 145, 201], "determinist": [1, 11, 14, 137, 149, 161], "gradient": [1, 6, 7, 10, 11, 13, 14, 16, 25, 37, 42, 43, 44, 47, 49, 52, 56, 61, 63, 64, 65, 67, 68, 69, 71, 72, 78, 87, 97, 98, 99, 101, 102, 103, 104, 110, 111, 115, 117, 121, 122, 123, 124, 125, 127, 130, 131, 132, 134, 136, 142, 146, 147, 150, 153, 157, 158, 160, 161, 162, 163, 164, 170, 172, 190, 206, 217, 230, 236], "simpl": [1, 3, 4, 5, 6, 8, 12, 15, 16, 17, 19, 21, 22, 23, 24, 25, 47, 49, 51, 54, 56, 61, 67, 73, 79, 85, 87, 97, 107, 112, 116, 120, 121, 123, 125, 126, 131, 136, 139, 140, 145, 146, 151, 155, 157, 160, 162, 163, 164, 165, 167, 169, 173, 183, 186, 200, 202, 206, 208, 212, 221, 222, 229, 254, 264, 265], "continu": [1, 5, 17, 20, 21, 49, 53, 60, 73, 85, 87, 97, 102, 113, 116, 121, 124, 128, 132, 136, 143, 144, 147, 158, 160, 164, 166, 169, 177, 188, 189, 190, 192, 193, 199, 200, 201, 202, 205, 223, 254, 264], "control": [1, 4, 8, 10, 14, 21, 23, 25, 34, 43, 60, 61, 66, 83, 85, 97, 110, 111, 113, 114, 122, 125, 126, 135, 136, 142, 154, 160, 161, 162, 173, 184, 198, 209, 254], "It": [1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 42, 43, 44, 45, 47, 49, 51, 52, 60, 61, 73, 74, 75, 76, 82, 87, 95, 97, 98, 99, 100, 101, 103, 108, 112, 113, 115, 117, 122, 123, 124, 126, 127, 128, 130, 131, 132, 134, 135, 136, 137, 139, 141, 142, 144, 145, 146, 147, 150, 151, 153, 154, 155, 157, 158, 161, 162, 164, 166, 167, 168, 169, 171, 172, 174, 175, 178, 179, 180, 194, 201, 202, 203, 204, 205, 206, 209, 214, 223, 224, 225, 226, 229, 233, 262, 264], "consist": [1, 3, 6, 7, 14, 15, 16, 22, 24, 25, 43, 75, 97, 99, 118, 124, 132, 143, 144, 147, 151, 153, 160, 165, 166, 169, 174, 175, 178, 180, 192, 193, 200, 201, 209, 212, 264], "parametr": [1, 2, 17, 121, 160, 202], "action": [1, 19, 58, 59, 101, 113, 122, 123, 147, 157, 160, 161, 162, 163, 164, 169, 183, 190, 191, 192, 193, 198, 199, 205, 209, 252, 264], "pair": [1, 6, 14, 47, 49, 52, 116, 118, 128, 130, 138, 151, 155, 160, 161, 166, 169, 179, 180, 195, 200, 212, 264], "maxim": [1, 14, 52, 73, 82, 97, 99, 126, 147, 161, 173, 177, 195], "given": [1, 6, 8, 10, 12, 14, 17, 20, 21, 22, 23, 25, 32, 43, 48, 49, 51, 52, 60, 61, 73, 76, 78, 82, 85, 97, 98, 100, 101, 103, 112, 116, 122, 127, 128, 134, 136, 139, 142, 143, 146, 147, 148, 155, 157, 160, 161, 163, 164, 166, 173, 174, 175, 178, 179, 193, 196, 201, 202, 232], "certain": [1, 4, 5, 6, 10, 11, 15, 49, 55, 60, 101, 113, 120, 122, 124, 125, 130, 142, 146, 148, 160, 165, 189, 190, 193, 194, 195, 199], "what": [1, 2, 3, 5, 8, 14, 18, 19, 20, 21, 22, 23, 25, 43, 45, 46, 53, 54, 55, 58, 59, 61, 73, 78, 86, 87, 98, 99, 101, 102, 103, 114, 121, 124, 125, 126, 128, 132, 133, 136, 137, 143, 147, 151, 153, 157, 160, 161, 162, 165, 170, 172, 174, 179, 188, 192, 196, 198, 201, 223, 227, 233, 236, 250, 254, 258, 264], "write": [1, 4, 8, 9, 10, 21, 22, 23, 44, 49, 58, 59, 60, 61, 64, 75, 98, 99, 100, 101, 104, 116, 117, 121, 125, 126, 131, 132, 134, 137, 138, 140, 142, 143, 145, 147, 148, 150, 151, 154, 156, 160, 163, 164, 166, 169, 172, 173, 186, 189, 193, 197, 198, 199, 206, 207, 209, 224, 225, 226, 233, 259, 264], "custom": [1, 4, 6, 8, 11, 17, 49, 52, 64, 65, 66, 79, 90, 109, 111, 121, 126, 137, 147, 160, 163, 172, 173, 178, 180, 184, 189, 196, 198, 200, 201, 202, 203, 205, 221, 236], "its": [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 25, 43, 47, 49, 51, 52, 53, 55, 60, 61, 68, 69, 73, 75, 80, 82, 95, 97, 99, 101, 102, 103, 105, 107, 109, 111, 112, 113, 115, 122, 123, 124, 125, 126, 127, 128, 136, 137, 138, 139, 140, 142, 144, 145, 147, 148, 150, 153, 154, 157, 160, 161, 162, 163, 164, 166, 169, 170, 173, 174, 175, 176, 177, 185, 189, 192, 193, 194, 198, 201, 202, 203, 205, 207, 209, 210, 219, 221, 223, 229, 264], "includ": [1, 2, 3, 4, 5, 6, 8, 14, 15, 16, 22, 23, 24, 25, 42, 48, 49, 53, 55, 58, 59, 60, 61, 69, 73, 75, 82, 85, 87, 97, 98, 105, 107, 109, 113, 115, 124, 126, 127, 128, 131, 132, 134, 136, 137, 145, 147, 148, 156, 157, 160, 163, 166, 169, 170, 173, 174, 175, 176, 177, 178, 179, 183, 185, 189, 190, 192, 195, 200, 201, 205, 207, 209, 221, 223, 225, 226, 229, 232, 239, 258, 262, 264], "design": [1, 5, 6, 14, 17, 24, 25, 52, 56, 61, 73, 85, 103, 128, 134, 137, 160, 161, 162, 164, 165, 169, 170, 178, 180, 190, 191, 192, 196, 198, 201, 202, 206], "effici": [1, 5, 7, 10, 12, 15, 17, 20, 23, 25, 42, 49, 51, 73, 82, 95, 97, 101, 103, 115, 119, 122, 123, 124, 126, 127, 136, 137, 146, 151, 157, 160, 164, 165, 169, 172, 176, 178, 187, 188, 193, 194, 195, 202, 205], "store": [1, 4, 5, 6, 16, 17, 19, 20, 22, 23, 40, 43, 48, 51, 53, 60, 68, 87, 95, 98, 99, 101, 103, 105, 111, 125, 126, 128, 136, 137, 142, 144, 145, 147, 148, 154, 156, 157, 160, 161, 162, 163, 164, 166, 183, 185, 193, 198, 199, 202, 205, 254, 256], "trajectori": [1, 14, 61, 137, 160], "transit": [1, 14, 60, 85, 86, 98, 137, 161, 201], "assum": [1, 2, 4, 6, 8, 10, 12, 14, 15, 19, 21, 22, 43, 44, 51, 54, 60, 73, 97, 98, 100, 102, 116, 124, 125, 127, 128, 136, 137, 140, 154, 157, 160, 163, 165, 166, 174, 175, 176, 179, 192, 193, 194, 200, 201, 224], "complet": [1, 4, 5, 6, 15, 21, 25, 49, 76, 78, 85, 87, 98, 99, 101, 113, 117, 119, 122, 124, 126, 131, 136, 157, 158, 159, 160, 161, 163, 166, 172, 173, 178, 179, 185, 192, 193, 226, 229, 254], "ppo": [1, 121], "compon": [1, 5, 6, 8, 10, 14, 20, 25, 52, 61, 85, 97, 101, 112, 113, 115, 119, 121, 126, 137, 143, 147, 160, 164, 167, 169, 173, 174, 175, 178, 194], "depend": [1, 5, 6, 7, 8, 11, 14, 21, 22, 23, 42, 47, 50, 52, 60, 73, 82, 85, 97, 98, 102, 110, 118, 119, 121, 124, 126, 130, 131, 136, 137, 138, 140, 142, 143, 144, 146, 147, 150, 156, 159, 160, 163, 169, 173, 174, 175, 182, 183, 184, 185, 189, 192, 197, 198, 199, 205, 207, 209, 223, 225, 226, 233, 254], "tensordict": [1, 14, 137, 147, 160], "nn": [1, 2, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 32, 37, 38, 39, 42, 43, 44, 45, 47, 49, 52, 55, 60, 65, 66, 69, 73, 75, 77, 79, 87, 89, 90, 92, 94, 96, 97, 98, 99, 102, 103, 105, 107, 108, 109, 110, 115, 117, 118, 119, 121, 122, 123, 124, 125, 127, 128, 129, 130, 134, 135, 137, 138, 139, 142, 143, 144, 146, 147, 148, 149, 150, 151, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 178, 180, 182, 183, 184, 186, 191, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 210, 211, 212, 213, 215, 216, 219, 220, 221, 222, 224, 227, 229, 231, 233, 234, 235, 236, 239, 240, 242, 243, 244, 246, 248, 249, 250, 251, 252, 253, 254, 255, 258, 260], "tensordictmodul": [1, 14, 137, 160], "although": [1, 12, 16, 43, 49, 60, 61, 98, 99, 103, 105, 108, 115, 119, 125, 147, 150, 154, 158, 163, 173, 174, 175, 177, 183, 204, 264], "suffici": [1, 6, 49, 52, 97, 98, 117, 132, 134, 153], "transpar": [1, 12, 42, 99, 137, 163, 207, 221], "understood": [1, 4, 113], "without": [1, 4, 5, 6, 8, 9, 10, 14, 17, 20, 23, 32, 42, 49, 53, 55, 60, 73, 78, 97, 98, 107, 112, 113, 116, 123, 124, 125, 128, 130, 136, 138, 139, 142, 144, 146, 147, 148, 153, 155, 156, 157, 158, 159, 160, 161, 162, 165, 166, 169, 172, 177, 178, 190, 192, 193, 194, 195, 200, 201, 202, 204, 209, 210, 212, 221, 228, 229, 254, 262, 264], "understand": [1, 2, 4, 6, 15, 23, 43, 44, 52, 57, 58, 59, 82, 85, 91, 98, 99, 101, 108, 117, 121, 125, 126, 127, 128, 131, 136, 138, 142, 144, 145, 150, 158, 166, 172, 174, 175, 177, 191, 196, 200, 201, 209, 250], "class": [1, 2, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 16, 19, 20, 21, 23, 24, 25, 33, 34, 37, 38, 42, 44, 45, 47, 49, 52, 53, 58, 59, 60, 64, 65, 67, 73, 75, 76, 78, 79, 83, 85, 87, 89, 90, 92, 93, 94, 96, 98, 99, 100, 102, 103, 104, 105, 108, 109, 110, 111, 112, 115, 117, 118, 119, 121, 122, 123, 125, 126, 127, 128, 129, 130, 131, 132, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 147, 148, 149, 150, 151, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 190, 191, 192, 194, 195, 196, 198, 199, 200, 201, 203, 204, 209, 210, 213, 214, 215, 216, 217, 219, 220, 222, 224, 227, 234, 235, 238, 240, 241, 242, 243, 244, 245, 249, 250, 251, 253, 254, 263, 264, 265], "sota": [1, 75, 113, 119], "implement": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 17, 20, 24, 42, 43, 45, 47, 49, 51, 55, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 76, 79, 85, 103, 108, 111, 115, 120, 121, 124, 125, 126, 127, 131, 134, 135, 136, 137, 139, 140, 142, 145, 146, 147, 148, 150, 151, 155, 157, 160, 161, 164, 169, 174, 175, 179, 180, 187, 191, 193, 194, 195, 197, 198, 201, 202, 205, 207, 208, 209, 221, 223, 225, 232, 263], "rather": [1, 13, 23, 25, 49, 52, 69, 73, 85, 97, 103, 112, 121, 128, 130, 144, 145, 150, 154, 155, 160, 172, 185, 189, 190, 224], "high": [1, 2, 5, 6, 14, 15, 19, 23, 25, 42, 44, 49, 52, 53, 55, 57, 60, 82, 85, 99, 103, 105, 109, 112, 121, 122, 123, 124, 126, 127, 130, 136, 140, 147, 150, 160, 169, 170, 172, 177, 178, 187, 193, 196, 197, 198, 200, 254, 262], "level": [1, 2, 5, 6, 17, 19, 20, 23, 25, 44, 49, 53, 55, 57, 68, 79, 100, 105, 115, 122, 123, 124, 126, 127, 128, 132, 134, 136, 138, 142, 143, 144, 145, 148, 150, 165, 166, 169, 172, 174, 175, 177, 178, 183, 186, 196, 197, 198, 200, 202, 210, 224, 228, 268], "illustr": [1, 19, 44, 47, 56, 116, 117, 124, 125, 126, 139, 161, 170, 172, 179, 192, 193, 196], "librari": [1, 3, 4, 5, 6, 8, 12, 14, 18, 20, 22, 23, 25, 42, 44, 50, 51, 57, 61, 75, 87, 107, 108, 113, 115, 118, 121, 126, 130, 131, 138, 140, 144, 156, 159, 160, 164, 169, 174, 175, 178, 195, 205, 207, 220, 221, 223, 224, 227, 228, 229, 250, 252], "featur": [1, 4, 6, 10, 11, 12, 14, 17, 19, 22, 23, 34, 49, 50, 51, 52, 58, 59, 60, 61, 82, 83, 85, 90, 94, 95, 97, 98, 103, 108, 113, 121, 123, 125, 137, 138, 145, 146, 147, 150, 153, 156, 159, 160, 164, 165, 170, 173, 174, 175, 176, 177, 178, 179, 186, 187, 188, 189, 193, 194, 197, 200, 202, 205, 206, 207, 209, 252, 254], "context": [1, 2, 5, 8, 14, 16, 17, 43, 49, 60, 61, 64, 73, 103, 109, 111, 120, 124, 135, 142, 154, 160, 163, 164, 165, 166, 169, 178, 187, 200, 202, 207, 209, 213, 233], "bash": [1, 18, 20, 147, 161, 227], "pip3": [1, 18, 50, 122, 137, 160, 161, 169, 176, 185, 188, 189], "mujoco": [1, 137, 160], "glfw": 1, "tqdm": [1, 14, 17, 122, 137, 138, 160, 186, 202], "avail": [1, 2, 3, 5, 6, 10, 12, 14, 15, 17, 18, 19, 20, 21, 22, 23, 40, 42, 43, 44, 48, 50, 51, 52, 53, 58, 59, 73, 80, 87, 97, 101, 105, 113, 115, 119, 122, 125, 136, 137, 140, 142, 147, 148, 157, 158, 159, 160, 161, 164, 165, 166, 169, 172, 176, 177, 178, 179, 182, 183, 188, 189, 197, 198, 199, 200, 202, 206, 221, 223, 224, 225, 226, 228, 229, 233, 262], "is_fork": [1, 137, 160], "multiprocess": [1, 6, 7, 11, 14, 34, 51, 53, 55, 56, 110, 122, 123, 134, 135, 136, 137, 160, 163, 164, 213, 215, 260], "get_start_method": [1, 137, 160], "fork": [1, 21, 137, 160, 161], "is_avail": [1, 5, 6, 12, 20, 33, 38, 40, 42, 44, 45, 48, 49, 52, 63, 73, 80, 87, 89, 95, 97, 104, 110, 111, 115, 117, 118, 130, 137, 147, 148, 156, 157, 158, 160, 161, 163, 165, 166, 167, 173, 179, 194, 231], "els": [1, 4, 5, 8, 9, 11, 12, 14, 16, 17, 18, 19, 20, 23, 25, 33, 38, 42, 44, 45, 47, 49, 51, 52, 58, 59, 60, 63, 73, 87, 94, 95, 96, 97, 103, 104, 105, 108, 110, 111, 115, 116, 117, 118, 122, 127, 128, 130, 135, 136, 137, 138, 143, 147, 148, 151, 156, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 179, 182, 183, 186, 187, 194, 196, 198, 199, 202, 209, 210, 213, 216, 217, 219, 223, 231, 232, 245, 247, 253, 254, 256, 257, 260, 264, 265], "cpu": [1, 3, 5, 6, 8, 9, 10, 11, 12, 14, 15, 18, 19, 20, 23, 33, 38, 42, 43, 44, 45, 48, 49, 52, 60, 63, 64, 72, 73, 80, 82, 83, 87, 89, 90, 95, 97, 99, 104, 105, 108, 109, 110, 111, 115, 117, 118, 121, 123, 124, 130, 134, 135, 136, 137, 138, 147, 148, 151, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 176, 179, 182, 183, 186, 187, 188, 189, 194, 195, 196, 198, 199, 200, 203, 207, 208, 213, 217, 220, 224, 227, 230, 231, 233, 235, 238, 239, 241, 245, 252, 254, 255], "collector_devic": 1, "chang": [1, 2, 5, 6, 10, 11, 12, 14, 19, 21, 22, 23, 24, 40, 43, 48, 50, 51, 52, 53, 55, 58, 59, 61, 76, 78, 79, 80, 82, 83, 85, 87, 95, 97, 98, 100, 101, 102, 105, 108, 112, 116, 121, 123, 124, 126, 132, 133, 136, 137, 138, 140, 142, 145, 146, 147, 150, 153, 154, 156, 157, 158, 162, 169, 172, 173, 174, 175, 178, 182, 183, 185, 187, 188, 189, 192, 194, 198, 199, 201, 205, 207, 209, 212, 221, 223, 236, 254, 262], "seri": [1, 6, 15, 23, 52, 53, 54, 55, 56, 82, 91, 120, 121, 127, 128, 132, 133, 140, 144, 157, 160, 192], "reusabl": [1, 6, 25], "swappabl": 1, "signatur": [1, 5, 8, 10, 14, 15, 23, 108, 136, 154, 163, 174, 175, 254], "characterist": [1, 14, 43, 144, 146, 147, 159, 165], "copi": [1, 5, 6, 12, 18, 22, 23, 44, 45, 50, 55, 58, 61, 73, 82, 97, 109, 110, 112, 114, 117, 123, 125, 130, 134, 136, 137, 138, 139, 142, 143, 144, 147, 150, 154, 158, 163, 169, 172, 182, 183, 184, 189, 195, 199, 200, 205, 207, 209, 219, 220, 235, 265], "loss_modul": [1, 160], "whatev": [1, 8, 22, 23, 99, 101, 112, 196], "convent": [1, 14, 52, 60, 112, 126, 137, 172], "receiv": [1, 4, 6, 14, 16, 55, 64, 87, 101, 111, 136, 160, 162, 163, 164, 173], "necessari": [1, 4, 5, 6, 7, 8, 10, 12, 15, 16, 18, 19, 23, 24, 44, 52, 53, 55, 60, 85, 87, 98, 112, 113, 122, 123, 124, 130, 134, 147, 150, 160, 162, 163, 164, 169, 174, 175, 178, 180, 183, 186, 192, 194, 196, 198, 199, 200, 250], "return": [1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 33, 34, 37, 38, 40, 44, 45, 47, 49, 51, 52, 59, 60, 64, 65, 67, 68, 73, 75, 78, 79, 80, 82, 85, 87, 89, 90, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 104, 105, 108, 109, 110, 111, 112, 113, 115, 116, 117, 118, 122, 123, 124, 126, 127, 128, 129, 130, 131, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 190, 192, 194, 195, 196, 198, 199, 200, 201, 202, 204, 206, 207, 209, 210, 211, 213, 214, 215, 216, 219, 220, 221, 222, 223, 224, 227, 231, 232, 234, 235, 238, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 253, 254, 256, 257, 258], "replay_buff": [1, 160], "sampl": [1, 6, 8, 44, 47, 48, 49, 51, 52, 55, 60, 61, 75, 78, 79, 87, 92, 97, 99, 105, 110, 115, 116, 117, 118, 121, 123, 127, 130, 136, 137, 138, 140, 146, 147, 153, 154, 158, 160, 161, 162, 164, 172, 174, 175, 179, 183, 186, 194, 195, 198, 200, 206, 210, 226, 227, 264], "loss_dict": 1, "instanc": [1, 4, 5, 6, 7, 11, 12, 14, 21, 22, 23, 25, 45, 53, 54, 55, 58, 59, 60, 78, 82, 87, 97, 98, 99, 102, 103, 122, 123, 125, 126, 132, 133, 134, 135, 137, 145, 147, 158, 160, 162, 163, 164, 166, 173, 183, 184, 198, 200, 201, 203, 221, 254, 259], "written": [1, 4, 5, 6, 8, 10, 14, 22, 23, 25, 85, 100, 131, 137, 144, 151, 154, 155, 158, 165, 169, 172, 185, 190, 221], "under": [1, 4, 5, 8, 14, 18, 19, 23, 47, 49, 50, 52, 54, 56, 97, 99, 109, 113, 115, 124, 125, 136, 138, 140, 146, 147, 154, 157, 164, 169, 170, 178, 179, 180, 188, 189, 191, 193, 205, 223, 226, 264], "loss_": 1, "smth": 1, "where": [1, 3, 4, 6, 7, 8, 11, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 32, 47, 49, 51, 60, 61, 64, 68, 75, 78, 79, 83, 85, 87, 97, 98, 99, 101, 102, 103, 110, 113, 122, 124, 126, 127, 128, 131, 133, 134, 135, 136, 138, 139, 140, 142, 145, 148, 150, 151, 153, 154, 155, 159, 160, 161, 162, 163, 164, 165, 166, 170, 173, 175, 176, 178, 179, 180, 183, 185, 188, 190, 193, 194, 195, 196, 201, 202, 205, 209, 227, 229, 265], "string": [1, 8, 15, 22, 23, 49, 51, 58, 59, 60, 65, 67, 105, 111, 115, 116, 118, 126, 127, 128, 137, 140, 157, 160, 166, 172, 183, 209, 210, 259, 262], "describ": [1, 4, 5, 6, 8, 10, 14, 15, 16, 19, 20, 21, 22, 23, 48, 49, 52, 58, 59, 61, 73, 97, 105, 114, 120, 136, 151, 160, 161, 164, 169, 172, 174, 175, 177, 197, 198, 199, 203, 254], "addit": [1, 2, 5, 7, 8, 11, 15, 17, 19, 50, 60, 73, 75, 97, 102, 105, 108, 109, 113, 122, 124, 125, 134, 136, 138, 139, 140, 143, 145, 148, 150, 157, 162, 163, 166, 170, 173, 174, 175, 177, 186, 190, 191, 192, 193, 198, 201, 202, 207, 209, 219, 221], "kei": [1, 6, 8, 11, 14, 15, 17, 49, 58, 75, 82, 90, 100, 103, 105, 109, 112, 114, 115, 116, 119, 122, 126, 137, 138, 140, 144, 147, 157, 159, 160, 161, 162, 165, 166, 169, 170, 172, 174, 175, 176, 178, 186, 194, 195, 196, 202, 210, 212, 221, 238, 256, 264], "mai": [1, 4, 5, 6, 8, 10, 11, 12, 14, 15, 17, 19, 21, 22, 23, 25, 42, 49, 50, 52, 58, 59, 60, 68, 73, 85, 95, 99, 112, 113, 116, 123, 124, 125, 126, 130, 131, 137, 138, 139, 140, 142, 144, 145, 146, 151, 153, 154, 159, 160, 163, 166, 169, 172, 173, 174, 175, 177, 178, 180, 182, 183, 186, 189, 192, 194, 198, 199, 200, 201, 202, 203, 209, 219, 229, 232, 254, 264, 265], "metric": [1, 17, 87, 97, 109, 122, 138, 147, 169, 172, 178, 179, 202, 222], "log": [1, 7, 14, 18, 49, 50, 52, 53, 58, 73, 97, 98, 99, 102, 103, 104, 118, 123, 126, 130, 133, 138, 149, 159, 160, 162, 164, 167, 169, 170, 172, 174, 175, 178, 186, 196, 209, 212, 257], "dure": [1, 3, 7, 8, 12, 14, 16, 18, 19, 25, 32, 37, 49, 52, 60, 61, 63, 64, 76, 78, 85, 97, 99, 103, 108, 111, 112, 113, 118, 121, 122, 123, 124, 125, 128, 130, 131, 132, 134, 137, 143, 144, 145, 150, 151, 154, 158, 159, 160, 161, 162, 164, 169, 173, 177, 178, 179, 186, 197, 199, 203, 207, 221, 224, 225, 226, 229, 254], "reason": [1, 5, 6, 8, 14, 15, 17, 23, 25, 52, 78, 82, 97, 99, 102, 112, 117, 125, 130, 136, 145, 150, 158, 160, 165, 166, 185, 192, 202, 224, 254], "independ": [1, 7, 23, 49, 60, 79, 103, 108, 110, 146, 147, 151, 163, 190], "user": [1, 3, 5, 14, 17, 18, 19, 22, 24, 25, 44, 49, 50, 60, 76, 79, 82, 83, 85, 97, 101, 108, 110, 113, 114, 115, 122, 124, 128, 134, 138, 140, 143, 144, 145, 148, 162, 164, 165, 166, 167, 169, 172, 174, 175, 176, 177, 178, 179, 180, 183, 186, 188, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 205, 208, 221, 229, 264, 265], "sum": [1, 2, 4, 5, 7, 11, 13, 14, 16, 18, 19, 21, 25, 37, 38, 40, 43, 44, 49, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 76, 78, 82, 87, 89, 92, 97, 98, 99, 101, 103, 104, 109, 111, 115, 117, 122, 123, 125, 127, 128, 129, 130, 131, 136, 137, 146, 147, 151, 153, 154, 157, 158, 160, 161, 162, 163, 164, 167, 169, 173, 174, 175, 176, 183, 190, 191, 192, 193, 198, 199, 211, 212, 213, 215, 222, 232, 254, 260], "done": [1, 4, 5, 6, 8, 10, 14, 16, 17, 19, 20, 21, 22, 23, 25, 37, 38, 49, 54, 58, 59, 82, 85, 97, 98, 99, 108, 113, 115, 122, 123, 124, 125, 128, 130, 136, 137, 139, 144, 145, 147, 148, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 170, 172, 174, 175, 185, 186, 195, 202, 203, 209, 221, 224, 258], "via": [1, 3, 5, 6, 7, 16, 17, 18, 20, 22, 23, 54, 55, 58, 59, 73, 85, 97, 121, 122, 123, 124, 126, 136, 137, 140, 146, 154, 159, 160, 165, 170, 172, 173, 177, 178, 179, 189, 192, 202, 221, 262, 268], "loss_val": [1, 137, 160], "item": [1, 2, 6, 7, 9, 10, 11, 12, 14, 15, 34, 37, 38, 40, 44, 49, 52, 60, 63, 64, 65, 67, 68, 69, 72, 73, 87, 90, 92, 94, 95, 96, 97, 98, 101, 103, 104, 109, 111, 112, 114, 115, 117, 118, 119, 122, 123, 127, 128, 130, 136, 137, 138, 140, 142, 144, 147, 148, 158, 159, 160, 161, 162, 163, 164, 166, 167, 170, 172, 179, 180, 182, 194, 210, 214, 219, 222, 231, 235, 248, 251, 263, 265], "startswith": [1, 83, 148, 166, 247], "parent": [1, 14, 104, 115, 143, 147, 184, 186], "As": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 19, 20, 21, 22, 23, 25, 43, 49, 50, 52, 58, 59, 60, 61, 73, 85, 87, 97, 103, 105, 108, 112, 116, 118, 122, 123, 124, 125, 126, 127, 134, 136, 137, 138, 142, 143, 144, 145, 146, 147, 150, 153, 154, 157, 158, 160, 161, 162, 163, 164, 165, 169, 172, 175, 176, 177, 178, 179, 180, 183, 185, 186, 188, 189, 193, 194, 196, 198, 201, 205, 209, 223], "mani": [1, 2, 4, 5, 6, 10, 14, 15, 17, 18, 23, 25, 49, 51, 52, 60, 61, 65, 69, 73, 82, 97, 99, 100, 101, 104, 105, 107, 111, 113, 122, 124, 126, 127, 130, 136, 138, 139, 146, 148, 150, 151, 155, 158, 160, 162, 163, 166, 174, 175, 177, 178, 192, 195, 202, 205, 206, 221, 254, 262, 264, 265], "expect": [1, 4, 5, 6, 10, 11, 14, 20, 22, 23, 32, 45, 47, 49, 51, 58, 59, 60, 61, 73, 85, 87, 97, 101, 102, 103, 112, 113, 117, 119, 126, 130, 134, 135, 137, 146, 147, 153, 154, 157, 159, 160, 161, 162, 163, 165, 172, 173, 174, 175, 177, 179, 180, 183, 188, 189, 195, 196, 198, 200, 201, 205, 206, 221, 224], "similar": [1, 3, 5, 8, 10, 11, 14, 15, 19, 22, 23, 48, 49, 58, 59, 61, 82, 83, 97, 98, 103, 108, 116, 124, 131, 135, 136, 137, 140, 144, 150, 154, 160, 162, 163, 164, 165, 166, 169, 170, 172, 177, 179, 180, 183, 186, 190, 191, 192, 193, 194, 199, 200, 219], "structur": [1, 4, 5, 6, 8, 9, 14, 18, 19, 20, 21, 22, 23, 33, 48, 49, 52, 53, 60, 61, 78, 85, 97, 98, 102, 105, 110, 112, 121, 132, 137, 139, 144, 147, 148, 150, 154, 155, 157, 160, 164, 170, 172, 173, 179, 193, 195, 197, 198, 206, 209, 262, 264, 268], "make": [1, 4, 5, 6, 8, 10, 12, 14, 18, 19, 22, 23, 43, 44, 45, 47, 49, 50, 51, 53, 54, 55, 57, 58, 59, 60, 61, 68, 69, 73, 87, 97, 99, 100, 101, 102, 103, 108, 111, 112, 113, 114, 115, 117, 118, 121, 122, 123, 124, 126, 127, 128, 130, 134, 136, 137, 138, 140, 143, 144, 145, 146, 147, 150, 153, 154, 156, 157, 158, 160, 161, 162, 163, 164, 165, 166, 170, 172, 173, 174, 175, 177, 179, 183, 185, 186, 189, 190, 191, 192, 193, 194, 195, 196, 198, 201, 206, 214, 219, 221, 224, 228, 229, 254, 258, 264, 266], "possibl": [1, 2, 4, 5, 6, 8, 10, 14, 15, 17, 22, 23, 52, 60, 61, 75, 98, 101, 108, 119, 125, 130, 131, 137, 139, 142, 144, 146, 147, 150, 158, 159, 160, 162, 163, 166, 179, 183, 186, 188, 194, 198, 199, 200, 201, 202, 203, 205, 221, 224, 254, 264], "across": [1, 5, 7, 8, 9, 11, 14, 16, 18, 20, 24, 49, 52, 54, 55, 56, 61, 82, 97, 105, 115, 120, 122, 123, 124, 132, 133, 134, 135, 136, 139, 147, 150, 157, 163, 164, 176, 177, 182, 212, 236, 262], "modal": [1, 60], "complex": [1, 6, 23, 25, 50, 61, 67, 68, 97, 105, 112, 120, 123, 134, 151, 154, 162, 164, 170, 194, 204, 210], "multipl": [1, 5, 8, 10, 11, 14, 16, 17, 18, 19, 20, 23, 40, 45, 48, 49, 53, 54, 55, 56, 61, 65, 78, 79, 81, 82, 87, 97, 101, 110, 120, 123, 124, 125, 126, 127, 128, 134, 135, 136, 139, 140, 144, 145, 147, 150, 159, 160, 162, 163, 164, 166, 169, 170, 172, 174, 175, 176, 177, 178, 183, 185, 194, 200, 201, 202, 236, 251, 264, 265], "entri": [1, 4, 11, 14, 23, 53, 75, 98, 101, 103, 109, 110, 112, 115, 132, 137, 144, 145, 157, 160, 162, 165, 169, 174, 175, 192, 193, 194, 196], "word": [1, 6, 7, 10, 11, 14, 42, 44, 49, 60, 73, 79, 82, 97, 98, 100, 102, 112, 115, 116, 118, 121, 127, 128, 136, 138, 144, 153, 154, 157, 164, 166, 177, 182, 191, 193, 194, 196, 200, 264], "oblivi": [1, 160], "type": [1, 4, 5, 6, 8, 9, 10, 14, 18, 19, 20, 21, 22, 23, 37, 38, 40, 42, 48, 49, 50, 51, 52, 60, 61, 73, 78, 80, 82, 85, 95, 101, 105, 108, 113, 118, 120, 122, 123, 124, 126, 135, 138, 139, 140, 143, 144, 145, 148, 149, 155, 156, 157, 160, 162, 163, 164, 165, 169, 172, 173, 174, 175, 176, 178, 180, 182, 186, 188, 190, 195, 198, 200, 201, 203, 205, 209, 210, 214, 217, 221, 222, 223, 224, 229, 245, 259, 264], "being": [1, 3, 4, 5, 6, 10, 12, 14, 17, 20, 21, 23, 42, 47, 49, 52, 58, 59, 60, 76, 80, 82, 97, 98, 99, 101, 103, 105, 110, 113, 117, 122, 124, 126, 130, 136, 137, 143, 154, 157, 160, 161, 163, 178, 186, 189, 191, 192, 194, 196, 200, 202, 203, 221], "run": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 21, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 51, 52, 56, 57, 61, 63, 64, 65, 67, 68, 69, 71, 72, 75, 76, 78, 79, 80, 82, 87, 89, 90, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 111, 112, 113, 114, 116, 117, 118, 119, 121, 122, 123, 124, 125, 128, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 173, 174, 176, 177, 178, 179, 182, 183, 184, 185, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 209, 210, 214, 219, 221, 223, 224, 226, 228, 229, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 256, 257, 264], "elementari": [1, 2], "those": [1, 4, 5, 6, 10, 11, 14, 17, 42, 43, 61, 79, 87, 98, 103, 113, 115, 116, 124, 125, 127, 136, 139, 144, 153, 154, 156, 157, 164, 166, 170, 172, 174, 175, 178, 183, 185, 189, 191, 202, 203, 205, 206, 207, 224, 264], "keep": [1, 6, 7, 10, 11, 14, 23, 43, 49, 51, 52, 60, 61, 73, 82, 85, 95, 97, 99, 101, 102, 108, 112, 116, 119, 121, 122, 123, 124, 125, 127, 128, 133, 134, 137, 143, 145, 151, 158, 160, 164, 166, 178, 182, 183, 198, 209, 219], "didact": [1, 136], "displai": [1, 2, 5, 6, 12, 14, 34, 44, 52, 58, 75, 108, 109, 117, 130, 140, 158, 161, 166, 169, 259, 262], "each": [1, 2, 5, 6, 7, 8, 10, 11, 12, 14, 16, 17, 18, 19, 21, 23, 24, 25, 34, 43, 44, 45, 48, 49, 51, 52, 53, 55, 56, 58, 59, 60, 61, 65, 68, 73, 75, 76, 79, 82, 83, 85, 87, 97, 98, 99, 102, 103, 107, 108, 109, 111, 112, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 126, 127, 128, 131, 132, 133, 134, 135, 136, 137, 139, 142, 143, 144, 146, 147, 148, 150, 151, 153, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 174, 175, 176, 177, 178, 179, 186, 187, 190, 193, 194, 196, 198, 199, 201, 202, 209, 210, 212, 221, 232, 254, 262, 264], "popul": [1, 14, 22, 43, 49, 58, 59, 87, 122, 137, 147, 160, 162, 212], "later": [1, 3, 4, 5, 6, 11, 23, 47, 49, 52, 60, 73, 78, 87, 97, 101, 102, 112, 113, 123, 124, 127, 128, 130, 131, 135, 136, 139, 142, 143, 144, 145, 146, 147, 151, 155, 160, 161, 164, 165, 166, 170, 172, 174, 175, 183, 190, 198, 199, 212, 224, 229, 233], "stage": [1, 7, 14, 16, 149, 187, 189, 207], "start": [1, 4, 5, 6, 9, 11, 14, 16, 17, 18, 19, 23, 24, 25, 43, 44, 49, 50, 52, 53, 54, 55, 59, 60, 61, 73, 87, 97, 98, 100, 101, 105, 113, 116, 120, 121, 122, 124, 125, 126, 127, 128, 130, 135, 136, 138, 140, 144, 145, 146, 147, 149, 150, 153, 154, 158, 159, 161, 162, 163, 166, 169, 170, 172, 173, 174, 177, 178, 179, 183, 185, 186, 188, 192, 196, 198, 199, 200, 201, 202, 204, 209, 224, 240, 253, 265], "solv": [1, 6, 14, 49, 51, 97, 103, 117, 118, 150, 154, 158, 160, 162, 164, 177, 192], "task": [1, 6, 7, 13, 14, 17, 21, 24, 49, 58, 59, 60, 75, 97, 98, 103, 109, 113, 116, 117, 118, 119, 120, 121, 123, 137, 138, 154, 158, 160, 161, 166, 167, 172, 179, 186, 202, 205, 209], "strategi": [1, 5, 17, 18, 24, 52, 82, 113, 121, 128, 136, 145, 146, 150, 155, 162, 163, 202], "predict": [1, 9, 17, 19, 20, 33, 37, 38, 43, 44, 49, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 87, 89, 90, 92, 97, 98, 102, 103, 104, 111, 113, 115, 116, 118, 121, 124, 126, 127, 128, 138, 139, 146, 147, 150, 155, 161, 166, 170, 179, 182, 183, 198, 199, 202, 214, 220, 258, 259], "henc": [1, 14, 17, 43, 48, 61, 78, 80, 82, 113, 123, 125, 134, 135, 148, 150, 151, 156, 160, 162, 164, 177, 202, 221], "two": [1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25, 40, 42, 43, 48, 49, 50, 52, 57, 58, 59, 60, 73, 75, 83, 85, 87, 92, 95, 97, 98, 99, 101, 102, 103, 105, 107, 108, 109, 116, 117, 119, 122, 123, 126, 127, 130, 131, 133, 134, 135, 136, 137, 140, 142, 144, 145, 146, 147, 148, 150, 151, 154, 155, 156, 157, 158, 160, 161, 162, 164, 165, 166, 172, 176, 177, 178, 179, 180, 184, 185, 187, 191, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 225, 226, 230, 254, 264, 265, 269], "constructor": [1, 6, 10, 11, 12, 21, 22, 23, 25, 60, 65, 67, 69, 78, 85, 111, 116, 122, 123, 134, 135, 144, 156, 157, 160, 162, 164, 193, 203, 254], "both": [1, 2, 4, 5, 6, 7, 8, 10, 11, 12, 14, 16, 19, 20, 21, 22, 23, 24, 25, 42, 49, 51, 52, 58, 59, 60, 61, 73, 82, 85, 97, 103, 109, 113, 116, 118, 122, 124, 126, 127, 130, 133, 134, 135, 136, 142, 143, 145, 146, 148, 150, 151, 157, 158, 160, 162, 163, 164, 165, 166, 174, 175, 176, 177, 178, 179, 180, 183, 185, 186, 187, 190, 193, 195, 196, 198, 200, 201, 210, 221, 224, 229, 232, 262, 264], "compat": [1, 4, 5, 6, 8, 11, 17, 50, 60, 94, 95, 101, 137, 148, 165, 174, 175, 183, 188, 203, 205, 223], "comput": [1, 3, 5, 6, 8, 11, 12, 13, 16, 17, 19, 20, 21, 23, 24, 25, 32, 37, 38, 40, 44, 47, 48, 49, 52, 53, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 83, 85, 95, 97, 98, 99, 100, 102, 105, 107, 110, 111, 115, 117, 119, 120, 121, 122, 123, 124, 125, 126, 130, 131, 132, 133, 134, 136, 137, 138, 140, 142, 143, 144, 145, 147, 149, 150, 153, 154, 155, 157, 159, 160, 161, 163, 165, 166, 169, 172, 173, 174, 175, 177, 178, 179, 183, 185, 188, 189, 194, 195, 196, 197, 198, 199, 200, 202, 203, 206, 207, 209, 212, 220, 224, 229, 232, 264], "fit": [1, 6, 7, 9, 10, 11, 12, 20, 24, 61, 87, 103, 122, 123, 124, 134, 149, 150, 164, 182, 264], "crucial": [1, 2, 12, 14, 23, 82, 101, 137, 160, 224], "convert_to_funct": 1, "extract": [1, 5, 20, 49, 52, 58, 59, 73, 97, 116, 117, 127, 128, 138, 142, 145, 155, 158, 160, 166, 173, 174, 175, 179, 209], "convert": [1, 5, 9, 10, 12, 14, 19, 20, 22, 23, 44, 49, 51, 52, 55, 73, 75, 95, 97, 105, 107, 110, 112, 113, 115, 116, 118, 119, 121, 127, 128, 138, 140, 158, 159, 160, 161, 162, 163, 167, 170, 178, 179, 182, 184, 185, 186, 189, 190, 191, 193, 194, 197, 200, 201, 210, 219, 221, 224, 225, 226, 228, 229, 254], "strictli": [1, 160], "speak": [1, 8, 43, 125, 136, 150], "perfectli": [1, 14, 65, 78, 111], "encourag": [1, 6, 19, 140, 161, 166, 172], "usag": [1, 3, 4, 11, 13, 15, 21, 23, 37, 60, 82, 109, 116, 121, 123, 125, 136, 137, 145, 146, 160, 162, 164, 165, 169, 178, 185, 186, 189, 194, 195, 196, 200, 221, 258, 264], "doe": [1, 2, 5, 6, 8, 13, 14, 15, 19, 22, 23, 25, 43, 47, 60, 61, 73, 79, 80, 85, 97, 98, 99, 101, 103, 105, 108, 112, 113, 117, 122, 123, 131, 134, 135, 136, 137, 140, 143, 146, 147, 148, 150, 153, 154, 159, 160, 161, 163, 164, 165, 166, 169, 170, 173, 174, 175, 177, 179, 183, 184, 185, 191, 192, 193, 198, 200, 203, 204, 206, 209, 224, 226, 229, 232, 264], "often": [1, 4, 5, 6, 10, 14, 17, 49, 73, 87, 97, 99, 101, 103, 112, 113, 124, 125, 126, 128, 147, 154, 178, 194, 202, 204, 264], "same": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 17, 19, 20, 21, 22, 23, 25, 32, 40, 43, 44, 47, 49, 51, 52, 53, 55, 58, 59, 60, 65, 73, 78, 80, 85, 87, 95, 97, 98, 99, 101, 102, 103, 105, 108, 109, 111, 112, 118, 119, 122, 123, 124, 125, 127, 130, 133, 134, 136, 138, 139, 140, 142, 145, 146, 147, 148, 150, 153, 154, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 180, 182, 183, 186, 187, 190, 191, 192, 193, 194, 195, 198, 199, 200, 201, 202, 209, 219, 223, 224, 229, 232, 254, 258, 262, 264], "usual": [1, 5, 6, 8, 19, 23, 43, 58, 59, 60, 61, 99, 100, 102, 103, 113, 117, 124, 125, 128, 130, 131, 134, 136, 137, 145, 148, 153, 157, 158, 160, 167, 196, 206, 262], "former": [1, 5, 61, 79, 127, 128, 166], "lag": [1, 160], "absolut": [1, 6, 7, 10, 82, 99, 126, 157, 161, 209], "dilut": 1, "averag": [1, 3, 19, 49, 52, 61, 82, 87, 97, 113, 115, 123, 127, 128, 130, 136, 138, 144, 147, 155, 160, 161, 164, 166, 167, 169, 177, 178, 183, 198, 199], "associ": [1, 5, 6, 8, 10, 17, 50, 82, 131, 142, 143, 157, 165, 172, 191, 202, 203], "One": [1, 2, 4, 5, 6, 7, 10, 11, 15, 21, 23, 49, 51, 60, 61, 73, 79, 82, 97, 98, 99, 101, 122, 123, 124, 125, 128, 134, 136, 138, 139, 143, 144, 150, 153, 154, 167, 170, 173, 178, 179, 192, 196, 201, 206, 210, 224, 264, 265], "advantag": [1, 3, 6, 14, 17, 23, 49, 60, 85, 95, 98, 107, 120, 122, 125, 136, 137, 154, 160, 173, 178, 183, 186, 193, 202, 210, 221, 223], "match": [1, 4, 5, 10, 14, 17, 19, 20, 22, 49, 51, 58, 59, 60, 61, 68, 75, 76, 92, 97, 105, 108, 111, 112, 113, 135, 138, 139, 143, 145, 148, 150, 153, 155, 160, 163, 173, 174, 175, 183, 186, 191, 193, 196, 198, 202, 221], "exactli": [1, 5, 7, 8, 10, 12, 17, 25, 43, 51, 52, 60, 78, 80, 101, 103, 105, 137, 145, 154, 175, 186, 202], "configur": [1, 4, 5, 6, 14, 18, 19, 20, 22, 23, 24, 42, 49, 50, 60, 61, 82, 113, 122, 124, 132, 134, 143, 145, 150, 153, 158, 160, 163, 169, 172, 177, 184, 185, 200, 201, 209, 221, 226, 227, 268], "pessimist": [1, 160], "bound": [1, 23, 49, 112, 126, 145, 160, 161, 169, 174, 175, 177, 179, 185], "pai": [1, 10, 45, 49, 60, 115], "attent": [1, 7, 10, 42, 45, 49, 115, 118, 119, 121, 124, 137, 167, 185, 186, 194, 254], "create_target_param": 1, "keyword": [1, 5, 157, 160, 172], "argument": [1, 2, 4, 5, 6, 8, 14, 21, 22, 23, 32, 43, 44, 48, 51, 55, 60, 69, 76, 78, 82, 89, 97, 99, 102, 103, 109, 111, 112, 115, 122, 123, 126, 127, 128, 133, 134, 136, 137, 139, 145, 146, 155, 156, 157, 160, 162, 163, 164, 165, 169, 172, 173, 174, 175, 180, 189, 192, 195, 200, 206, 207, 209, 210, 223, 224, 264, 265], "below": [1, 2, 4, 6, 10, 11, 12, 14, 16, 17, 18, 19, 20, 23, 24, 34, 43, 45, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 79, 82, 85, 97, 98, 99, 101, 102, 103, 105, 107, 108, 113, 114, 116, 118, 119, 124, 126, 130, 132, 133, 134, 135, 136, 137, 138, 142, 145, 148, 150, 153, 156, 158, 160, 161, 162, 163, 164, 165, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 185, 186, 187, 189, 191, 192, 193, 194, 196, 203, 204, 205, 212, 219, 223, 224, 226, 229, 254, 264], "tell": [1, 18, 23, 42, 69, 87, 103, 111, 126, 127, 137, 139, 142, 153, 161, 162, 164, 166, 176, 188, 189, 210, 264], "fals": [1, 2, 6, 7, 10, 11, 12, 14, 19, 20, 23, 24, 34, 37, 38, 42, 43, 44, 49, 52, 55, 59, 60, 63, 64, 73, 82, 83, 87, 89, 92, 94, 96, 97, 101, 110, 111, 112, 115, 116, 117, 119, 122, 123, 124, 125, 126, 130, 135, 138, 142, 144, 145, 147, 148, 149, 151, 153, 154, 158, 159, 160, 161, 162, 163, 165, 166, 167, 170, 172, 173, 174, 175, 177, 178, 179, 180, 183, 185, 186, 187, 191, 192, 193, 195, 196, 198, 199, 201, 202, 207, 209, 211, 212, 219, 220, 221, 222, 224, 229, 231, 233, 245, 247, 248, 249, 251, 253, 254, 255, 260, 262, 263, 264, 265], "target_actor_network_param": 1, "attribut": [1, 6, 11, 14, 22, 25, 43, 47, 53, 60, 73, 76, 79, 82, 85, 90, 103, 108, 116, 125, 135, 137, 142, 148, 149, 154, 157, 174, 175, 177, 183, 186, 194, 195, 197, 200, 204, 208, 230, 264], "access": [1, 5, 6, 7, 10, 12, 14, 17, 19, 23, 50, 60, 68, 73, 78, 79, 87, 97, 102, 111, 112, 118, 119, 122, 125, 132, 136, 143, 154, 159, 161, 163, 172, 174, 175, 178, 186, 188, 190, 191, 193, 195, 202, 209, 210, 219, 254, 262], "detach": [1, 2, 6, 9, 11, 12, 13, 20, 32, 52, 73, 89, 90, 95, 101, 105, 108, 138, 151, 155, 166, 182, 186, 230, 245], "def": [1, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 33, 34, 37, 38, 44, 45, 47, 49, 51, 52, 53, 55, 60, 64, 65, 67, 73, 75, 78, 79, 85, 87, 89, 90, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 108, 109, 111, 112, 113, 115, 116, 117, 118, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 190, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 206, 209, 210, 211, 212, 213, 214, 215, 216, 217, 219, 220, 222, 224, 227, 229, 231, 232, 234, 235, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 256, 257, 260, 264], "_init": 1, "self": [1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 33, 34, 37, 38, 44, 45, 47, 49, 51, 52, 53, 55, 60, 65, 67, 73, 78, 79, 85, 87, 89, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 108, 109, 111, 112, 115, 118, 123, 124, 125, 127, 128, 129, 130, 134, 135, 136, 139, 143, 144, 145, 147, 149, 150, 151, 154, 155, 157, 161, 162, 163, 164, 166, 167, 169, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 186, 194, 195, 196, 198, 199, 200, 203, 204, 210, 213, 215, 216, 217, 219, 220, 222, 223, 224, 227, 229, 234, 235, 238, 239, 240, 241, 242, 243, 244, 245, 249, 250, 251, 253, 254], "actor_network": [1, 160], "value_network": [1, 160], "none": [1, 7, 11, 12, 14, 15, 17, 18, 19, 20, 24, 34, 49, 51, 60, 63, 64, 76, 79, 87, 89, 90, 97, 104, 105, 108, 111, 113, 115, 117, 118, 119, 122, 123, 130, 135, 136, 138, 139, 142, 143, 145, 146, 147, 148, 149, 151, 153, 155, 158, 161, 163, 165, 166, 172, 174, 175, 176, 179, 180, 183, 186, 195, 202, 203, 208, 210, 214, 216, 217, 231, 245, 246, 254, 262, 264], "super": [1, 4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 18, 19, 20, 21, 22, 25, 33, 37, 38, 44, 45, 47, 49, 52, 59, 60, 65, 67, 73, 78, 79, 85, 87, 89, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 109, 111, 112, 115, 118, 123, 125, 127, 128, 129, 130, 134, 135, 139, 143, 144, 147, 149, 150, 151, 154, 155, 157, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 180, 182, 194, 195, 196, 198, 199, 200, 203, 204, 209, 210, 213, 215, 216, 219, 220, 222, 223, 224, 227, 234, 235, 238, 240, 241, 242, 243, 244, 249, 250, 251, 253], "true": [1, 2, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20, 22, 23, 24, 32, 34, 37, 38, 41, 42, 43, 44, 45, 47, 49, 51, 52, 55, 58, 59, 60, 63, 64, 68, 73, 76, 82, 87, 89, 90, 92, 94, 95, 96, 97, 98, 101, 104, 108, 109, 110, 111, 113, 115, 116, 117, 118, 119, 122, 123, 124, 125, 126, 127, 129, 130, 131, 134, 135, 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164, 167, 169, 172, 177, 178, 183, 186, 210, 221, 233, 236, 254, 264], "state_valu": 1, "built": [1, 4, 5, 6, 7, 8, 22, 23, 47, 49, 59, 60, 61, 99, 108, 113, 115, 116, 121, 136, 137, 138, 160, 165, 170, 174, 175, 178, 179, 196, 205, 223, 232], "present": [1, 6, 8, 18, 22, 61, 82, 83, 97, 108, 135, 138, 144, 154, 156, 157, 158, 161, 162, 164, 172, 173, 176, 179, 194], "origin": [1, 5, 6, 7, 8, 12, 14, 17, 19, 23, 32, 49, 52, 58, 59, 60, 73, 87, 90, 97, 102, 105, 113, 115, 118, 119, 124, 125, 127, 128, 138, 143, 151, 154, 155, 157, 158, 161, 172, 173, 174, 175, 177, 178, 180, 182, 183, 184, 185, 187, 193, 198, 201, 202, 219, 221, 229, 254], "paper": [1, 5, 12, 16, 17, 52, 58, 59, 61, 73, 97, 113, 114, 118, 119, 124, 138, 160, 163, 165, 166, 167, 194, 202], "found": [1, 4, 5, 6, 10, 16, 22, 23, 25, 42, 49, 50, 60, 79, 97, 113, 115, 116, 118, 126, 128, 134, 135, 136, 137, 138, 143, 144, 148, 161, 163, 164, 165, 172, 174, 175, 182, 183, 184, 186, 194, 207, 221, 223, 264], "ddpgmlpactor": 1, 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177, 194, 203, 224, 260], "gpu": [1, 3, 4, 7, 12, 17, 18, 19, 20, 24, 33, 38, 40, 42, 43, 47, 48, 49, 50, 52, 53, 54, 56, 57, 60, 61, 64, 72, 73, 77, 80, 81, 82, 83, 88, 92, 96, 97, 99, 105, 111, 114, 117, 120, 121, 122, 123, 124, 125, 132, 133, 134, 135, 136, 137, 138, 139, 145, 148, 149, 150, 151, 153, 155, 158, 160, 161, 163, 164, 165, 172, 173, 176, 178, 179, 186, 187, 197, 202, 207, 208, 211, 215, 217, 224, 231, 232, 235, 241, 252, 254, 256, 259], "worker": [1, 6, 7, 11, 16, 51, 52, 61, 115, 120, 122, 123, 135, 136, 148, 160, 163, 164, 169, 213], "syncdatacollector": [1, 137, 160], "process": [1, 4, 5, 6, 11, 12, 14, 15, 16, 17, 18, 20, 22, 23, 24, 25, 42, 47, 49, 50, 51, 52, 56, 60, 61, 73, 82, 85, 97, 103, 105, 110, 112, 113, 114, 116, 118, 119, 120, 121, 122, 123, 125, 126, 127, 128, 132, 133, 136, 137, 138, 144, 145, 147, 148, 150, 155, 159, 161, 163, 164, 165, 166, 169, 172, 174, 175, 176, 177, 178, 183, 185, 186, 188, 189, 194, 196, 197, 202, 204, 205, 209, 214, 229, 263, 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160, 161, 166, 172, 173, 176, 183, 190, 198, 199, 200, 206, 209, 254, 264, 265, 266], "randn": [2, 5, 6, 12, 13, 20, 23, 32, 45, 47, 52, 63, 65, 67, 71, 72, 76, 78, 80, 89, 97, 98, 99, 101, 102, 104, 105, 108, 110, 111, 125, 129, 134, 135, 139, 142, 143, 144, 145, 146, 150, 151, 155, 162, 164, 165, 173, 174, 175, 185, 187, 192, 194, 198, 199, 200, 206, 209, 213, 231, 232, 233, 235, 239, 240, 246, 253, 256, 260], "b": [2, 5, 6, 7, 12, 18, 21, 23, 32, 43, 47, 63, 64, 65, 67, 71, 72, 76, 80, 83, 89, 92, 93, 95, 98, 99, 102, 103, 104, 109, 110, 111, 125, 127, 128, 130, 143, 145, 146, 148, 150, 159, 161, 173, 175, 192, 194, 195, 204, 210, 232, 239, 247, 253, 265], "sumbackward0": 2, "backprop": [2, 43, 71, 72, 76, 98, 101, 111, 127, 147], "scalar": [2, 5, 14, 15, 23, 32, 43, 49, 52, 60, 63, 76, 101, 111, 170, 198, 207], "equival": [2, 4, 5, 11, 13, 17, 22, 23, 32, 43, 99, 138, 142, 155, 161, 163, 172, 174, 175, 186, 187, 190, 192, 194, 199, 200, 201, 202], "print": [2, 4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 32, 33, 34, 37, 38, 40, 42, 43, 44, 45, 47, 48, 49, 51, 52, 53, 58, 59, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 122, 123, 125, 127, 128, 130, 133, 134, 135, 136, 137, 138, 139, 140, 143, 144, 145, 146, 147, 148, 149, 151, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 202, 204, 207, 209, 210, 211, 212, 213, 215, 216, 219, 220, 221, 222, 224, 229, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 245, 247, 248, 250, 251, 253, 254, 256, 257, 258, 260, 264], "dx": [2, 64, 76, 99, 111, 131, 175], "got": [2, 15, 19, 55, 98, 99, 101, 113, 134, 147, 148, 156, 163, 189, 198, 201, 214, 264], "matrix": [2, 5, 6, 12, 17, 23, 32, 40, 43, 48, 82, 92, 98, 99, 101, 103, 109, 110, 124, 127, 128, 146, 151, 154, 165, 166, 167, 172, 174, 175, 177, 178, 193, 194, 200, 202, 206, 221, 222, 227], "explan": [2, 52, 61, 161, 170], "arriv": [2, 6, 15, 23, 42, 113, 122, 134, 162, 209], "valu": [2, 4, 5, 6, 7, 9, 12, 14, 18, 19, 20, 21, 22, 23, 25, 32, 33, 40, 41, 43, 47, 48, 49, 50, 55, 58, 59, 60, 61, 63, 68, 73, 80, 82, 85, 87, 92, 97, 98, 99, 101, 102, 103, 105, 108, 111, 113, 115, 124, 125, 126, 127, 130, 133, 134, 136, 138, 139, 140, 142, 144, 147, 150, 151, 155, 156, 157, 161, 162, 163, 164, 165, 166, 169, 172, 173, 174, 175, 176, 183, 184, 186, 188, 190, 191, 192, 193, 194, 196, 197, 198, 199, 201, 204, 205, 209, 210, 212, 217, 223, 262], "section": [2, 4, 5, 6, 7, 8, 11, 15, 18, 19, 21, 23, 43, 44, 47, 50, 51, 52, 73, 95, 97, 98, 99, 102, 103, 108, 113, 116, 118, 125, 130, 136, 140, 142, 145, 147, 151, 158, 161, 162, 164, 169, 172, 174, 177, 178, 179, 180, 183, 189, 191, 192, 201, 203, 212, 221, 262, 264, 265, 266, 268], "jacobian": [2, 43, 89, 121, 142, 206], "product": [2, 3, 4, 6, 12, 40, 42, 43, 48, 60, 61, 85, 99, 105, 113, 121, 122, 136, 140, 142, 166, 176, 177, 178, 186, 200, 201, 206, 210, 232, 252], "1021": 2, "4020": 2, "314": 2, "6695": 2, "613": 2, "4944": [2, 209], "0001": [2, 19, 49, 87, 89, 118, 145, 222], "kfloat": [2, 3, 59, 187, 189, 207], "102": 2, "4000": [2, 49, 60, 92, 247], "1024": [2, 5, 18, 21, 42, 82, 97, 130, 148, 165, 185, 200, 209, 211, 212, 232, 240], "0000": [2, 23, 174, 202, 209, 265], "stop": [2, 4, 5, 23, 51, 58, 59, 76, 78, 87, 98, 101, 110, 126, 128, 136, 148, 153, 160, 162, 166, 169], "histori": [2, 9, 47, 48, 101, 110, 113, 117, 128, 147, 157, 158, 166, 182], "nogradguard": [2, 258], "block": [2, 5, 6, 7, 8, 10, 12, 16, 17, 19, 22, 23, 47, 49, 75, 76, 82, 90, 101, 115, 116, 123, 124, 135, 136, 137, 145, 158, 162, 163, 164, 165, 169, 172, 185, 202, 208, 209, 268], "no_grad": [2, 7, 9, 12, 17, 19, 32, 37, 38, 42, 43, 44, 52, 58, 59, 63, 64, 68, 76, 87, 89, 92, 96, 97, 98, 99, 101, 102, 104, 110, 111, 115, 117, 122, 123, 127, 128, 130, 137, 138, 145, 147, 158, 159, 160, 161, 163, 166, 167, 170, 173, 175, 178, 179, 182, 183, 185, 186, 195, 198, 199, 200, 203, 217, 221, 248, 255, 258], "Or": [2, 21, 23, 153, 164, 180, 199, 207, 209, 264], "eq": [2, 19, 23, 49, 60, 95, 123, 130, 163, 167, 174, 183, 198, 199, 222, 239, 264], "bool": [2, 11, 14, 15, 17, 23, 95, 109, 118, 138, 144, 147, 156, 160, 161, 165, 172, 180, 186, 191, 193, 202, 209, 254, 262], "is_leaf": 2, "detach_": [2, 164], "register_hook": [2, 129], "retain_grad": 2, "doc": [2, 4, 6, 32, 33, 34, 37, 38, 40, 60, 69, 94, 104, 109, 111, 133, 136, 143, 144, 162, 164, 172, 175, 182, 194, 206, 231, 238, 262, 263, 264, 269], "calcul": [2, 12, 17, 43, 44, 49, 52, 56, 60, 73, 82, 85, 87, 97, 110, 127, 128, 138, 144, 147, 161, 162, 164, 165, 166, 172, 178, 183, 192, 194, 198, 201, 202], "penalti": [2, 154, 159], "h": [2, 4, 5, 6, 7, 8, 9, 10, 12, 22, 23, 25, 38, 49, 51, 96, 124, 130, 138, 145, 147, 148, 156, 179, 182, 186, 189, 209, 214, 221, 223, 226, 247, 258], "model": [2, 3, 5, 8, 11, 14, 16, 22, 23, 24, 33, 35, 37, 38, 39, 42, 43, 44, 47, 48, 52, 53, 54, 56, 61, 65, 67, 68, 69, 75, 78, 86, 87, 89, 90, 91, 93, 95, 96, 98, 99, 100, 101, 104, 106, 107, 108, 109, 110, 111, 116, 118, 119, 120, 121, 123, 126, 127, 128, 129, 130, 133, 136, 140, 142, 143, 145, 146, 149, 153, 154, 155, 159, 160, 161, 162, 163, 164, 165, 173, 174, 175, 177, 178, 184, 185, 187, 194, 197, 200, 201, 202, 205, 206, 208, 211, 214, 215, 216, 220, 222, 223, 228, 229, 230, 231, 235, 236, 239, 242, 243, 244, 246, 249, 250, 251, 252, 253, 255, 258, 259, 260], "linear": [2, 5, 6, 7, 9, 11, 16, 17, 19, 25, 37, 38, 43, 44, 45, 47, 48, 49, 60, 68, 69, 73, 78, 79, 87, 89, 92, 93, 94, 96, 97, 98, 100, 102, 103, 105, 109, 110, 111, 112, 115, 117, 118, 119, 123, 124, 125, 127, 128, 129, 130, 134, 135, 138, 139, 142, 145, 146, 147, 149, 150, 151, 154, 155, 157, 158, 161, 162, 163, 164, 165, 166, 167, 170, 173, 174, 175, 178, 180, 182, 183, 185, 186, 190, 194, 196, 198, 199, 200, 201, 202, 203, 204, 206, 208, 210, 211, 212, 213, 215, 216, 219, 220, 221, 222, 224, 227, 229, 231, 233, 234, 235, 238, 240, 241, 242, 243, 244, 245, 246, 249, 250, 251, 253, 254, 260], "loss": [2, 3, 5, 6, 7, 9, 11, 14, 16, 17, 19, 32, 38, 43, 48, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 78, 87, 89, 92, 94, 96, 99, 102, 103, 104, 111, 112, 115, 117, 118, 121, 122, 123, 125, 127, 129, 130, 135, 136, 147, 148, 149, 150, 153, 155, 158, 161, 163, 164, 166, 167, 169, 170, 173, 179, 182, 183, 189, 192, 198, 199, 202, 221, 222, 231, 242, 246, 251, 255], "target": [2, 3, 4, 6, 9, 12, 14, 16, 18, 19, 22, 23, 44, 47, 49, 55, 60, 73, 78, 90, 94, 97, 98, 99, 102, 103, 104, 113, 116, 118, 123, 127, 128, 130, 135, 136, 137, 139, 143, 145, 153, 155, 156, 159, 161, 162, 163, 164, 166, 167, 170, 172, 173, 174, 175, 179, 180, 182, 183, 189, 198, 199, 200, 201, 205, 207, 209, 221, 222, 223, 226, 230, 231, 255, 258], "mseloss": [2, 12, 37, 47, 65, 67, 68, 69, 78, 97, 110, 111, 134, 135, 150, 162, 215, 231, 246, 260], "grad_output": [2, 8, 10, 13, 64, 76, 78, 111], "ones_lik": [2, 32, 40, 48, 95, 143, 192], "create_graph": [2, 131], "gradient_penalti": 2, "dim": [2, 4, 5, 11, 14, 21, 33, 40, 41, 45, 48, 49, 60, 73, 90, 92, 93, 94, 96, 97, 99, 102, 103, 104, 110, 115, 118, 123, 127, 128, 130, 135, 145, 148, 149, 150, 155, 157, 159, 160, 162, 163, 164, 165, 166, 167, 170, 172, 174, 175, 191, 192, 193, 194, 204, 207, 220, 222, 234, 258], "combined_loss": 2, "1042": 2, "0638": 2, "0103": 2, "0723": 2, "2543": 2, "1222": 2, "0071": 2, "0814": 2, "1683": 2, "1052": 2, "0355": 2, "document": [2, 4, 5, 6, 20, 47, 52, 60, 61, 79, 82, 85, 87, 101, 112, 113, 117, 121, 134, 136, 137, 140, 142, 144, 145, 158, 163, 164, 165, 169, 172, 173, 174, 175, 177, 178, 179, 180, 192, 198, 200, 206, 207, 210, 219, 221, 229, 254, 262, 264, 265, 269], "link": [2, 4, 5, 6, 10, 12, 22, 23, 52, 58, 59, 82, 105, 108, 114, 116, 118, 136, 140, 142, 192, 205, 207, 209, 221, 262, 263, 268], "subclass": [2, 5, 6, 14, 17, 25, 64, 67, 79, 111, 121, 126, 137, 147, 157, 163, 170, 179, 192, 194, 202], "encod": [2, 7, 9, 14, 17, 42, 47, 48, 75, 76, 100, 104, 113, 118, 122, 126, 127, 128, 137, 154, 160, 164, 172, 179, 182, 185, 186, 196, 201, 202, 209, 231, 254], "method": [2, 4, 5, 6, 7, 8, 10, 11, 12, 14, 16, 17, 19, 21, 23, 25, 44, 47, 49, 51, 55, 58, 59, 60, 64, 65, 67, 73, 79, 83, 85, 90, 95, 97, 99, 101, 111, 112, 113, 115, 120, 121, 126, 131, 134, 137, 138, 140, 142, 143, 144, 145, 146, 147, 150, 154, 155, 156, 157, 158, 160, 161, 162, 163, 170, 172, 173, 174, 175, 177, 183, 184, 190, 198, 199, 201, 202, 204, 209, 210, 214, 224, 225, 226, 229, 264], "forward": [2, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 22, 23, 25, 33, 37, 38, 43, 44, 45, 47, 49, 52, 56, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 79, 85, 87, 89, 92, 93, 94, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 108, 111, 112, 115, 117, 118, 121, 122, 123, 124, 125, 127, 128, 129, 130, 131, 132, 134, 135, 136, 139, 140, 143, 147, 149, 150, 151, 153, 154, 155, 157, 158, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 178, 180, 182, 183, 184, 186, 188, 189, 194, 195, 196, 198, 199, 200, 204, 205, 207, 209, 210, 212, 213, 214, 215, 216, 219, 220, 221, 222, 227, 229, 234, 235, 238, 239, 240, 241, 242, 243, 244, 249, 250, 251, 253, 254, 258], "detail": [2, 5, 6, 8, 10, 12, 15, 16, 20, 22, 23, 25, 43, 44, 45, 52, 53, 58, 59, 60, 61, 69, 73, 82, 83, 85, 111, 113, 116, 119, 123, 124, 126, 128, 130, 132, 134, 143, 145, 150, 151, 153, 158, 161, 164, 165, 169, 170, 173, 174, 175, 178, 180, 186, 189, 190, 191, 192, 193, 195, 199, 200, 206, 209, 212, 219, 221, 225, 226, 229, 232, 247, 254], "namespac": [2, 6, 8, 10, 22, 23, 108, 138, 156, 180, 186, 194, 209, 258], "inherit": [2, 11, 15, 22, 51, 60, 85, 99, 144, 147, 150, 160, 172, 179, 192, 194, 196, 200], "linearfunct": 2, "public": [2, 8, 10, 15, 156, 209, 265], "static": [2, 8, 10, 14, 21, 58, 59, 60, 107, 121, 138, 142, 143, 156, 174, 175, 182, 184, 185, 186, 197, 198, 199, 200, 201, 209, 248, 262], "option": [2, 5, 6, 8, 10, 11, 14, 23, 44, 46, 49, 51, 53, 60, 61, 82, 87, 97, 109, 120, 121, 126, 132, 135, 137, 139, 145, 148, 150, 157, 159, 172, 174, 175, 183, 184, 185, 186, 194, 195, 198, 199, 200, 201, 205, 210, 213, 217, 219, 228, 254, 264, 268], "autogradcontext": [2, 8, 10], "ctx": [2, 5, 8, 10, 13, 18, 64, 111, 130, 131, 142, 213], "save_for_backward": [2, 5, 13, 64, 111, 130, 131], "mm": [2, 5, 12, 59, 110, 138, 186, 187, 189, 195, 198, 207, 208, 223, 226], "expand_a": [2, 19, 183, 198, 199], "tensor_list": [2, 8, 10, 136], "get_saved_vari": 2, "grad_input": [2, 13, 78, 130, 131], "grad_weight": 2, "grad_bia": [2, 13], "Then": [2, 12, 15, 17, 20, 22, 24, 25, 44, 45, 52, 58, 59, 61, 73, 85, 98, 99, 102, 103, 114, 121, 123, 134, 135, 150, 153, 156, 157, 160, 161, 162, 164, 166, 169, 174, 175, 189, 196, 201, 202, 223, 225, 226, 229], "5314": 2, "2807": 2, "4864": 2, "7608": 2, "9101": [2, 174], "0073": 2, "mulconst": [2, 78], "object": [2, 4, 5, 6, 7, 9, 10, 11, 14, 19, 20, 22, 23, 43, 49, 51, 52, 60, 61, 64, 68, 69, 75, 95, 97, 101, 110, 111, 112, 116, 117, 118, 121, 125, 130, 136, 137, 142, 143, 144, 146, 155, 156, 160, 161, 162, 163, 164, 165, 169, 170, 172, 174, 175, 178, 182, 183, 194, 198, 199, 201, 217, 221, 222, 224, 226, 232, 247], "stash": [2, 64, 111], "saved_data": 2, "were": [2, 3, 5, 6, 9, 12, 17, 18, 23, 32, 52, 60, 83, 85, 97, 99, 101, 103, 113, 114, 126, 133, 134, 139, 148, 154, 160, 161, 163, 165, 166, 174, 175, 177, 190, 202, 205, 206], "todoubl": 2, "On": [2, 4, 5, 6, 8, 17, 19, 21, 22, 23, 115, 117, 122, 134, 136, 138, 148, 154, 157, 162, 163, 173, 178, 179, 202, 204, 209], "easiest": [2, 5, 9, 23, 121, 140, 146, 158, 160, 229], "tabl": [2, 16, 21, 89, 103, 109, 115, 121, 122, 136, 138, 144, 145, 163, 164, 165, 169, 174, 175, 176, 220, 239, 268], "set_data": 2, "output_nr": 2, "after": [2, 3, 5, 6, 7, 9, 10, 12, 14, 15, 17, 18, 19, 20, 21, 23, 24, 25, 32, 33, 34, 43, 45, 47, 49, 52, 53, 58, 59, 60, 61, 63, 64, 76, 79, 87, 97, 98, 99, 102, 103, 105, 110, 111, 112, 113, 115, 116, 122, 124, 127, 128, 130, 133, 134, 135, 136, 137, 138, 139, 143, 145, 147, 148, 150, 153, 154, 156, 157, 158, 159, 160, 161, 163, 164, 166, 167, 169, 170, 174, 175, 177, 179, 180, 182, 183, 184, 186, 188, 189, 196, 198, 199, 200, 201, 202, 203, 204, 205, 207, 209, 214, 224, 225, 226, 229, 232, 254, 260], "bug": [2, 5, 10, 23, 108, 145, 187], "report": [2, 10, 17, 23, 52, 73, 87, 98, 121, 138, 145, 162, 164, 165, 187, 202], "fix": [2, 14, 17, 20, 23, 24, 49, 50, 51, 52, 97, 108, 113, 125, 158, 162, 174, 175, 185, 202, 264], "soon": [2, 5, 52, 58, 59, 122, 148, 153, 199, 221], "overview": [2, 5, 6, 11, 53, 55, 61, 113, 119, 120, 121, 127, 128, 134, 135, 136, 143, 156, 160, 162, 163, 164, 166, 169, 190, 191, 193, 197, 228], "alwai": [2, 3, 4, 6, 9, 14, 16, 18, 19, 22, 23, 49, 52, 99, 102, 103, 108, 113, 124, 125, 130, 136, 137, 138, 140, 159, 160, 161, 162, 164, 174, 179, 186, 188, 189, 190, 196, 205, 223, 254, 264], "problem": [2, 4, 6, 11, 14, 15, 18, 22, 23, 49, 51, 52, 61, 98, 100, 103, 115, 117, 126, 137, 143, 145, 146, 150, 154, 158, 160, 162, 164, 169, 173, 177, 190, 192, 233, 264], "question": [2, 4, 5, 6, 8, 10, 17, 22, 23, 49, 75, 122, 136, 138, 144, 166, 184, 191, 201, 202, 232], "forum": [2, 4, 5, 6, 22, 23, 44, 79, 110, 143, 144, 184], "view": [3, 7, 9, 10, 11, 12, 14, 15, 16, 19, 25, 47, 49, 50, 52, 53, 55, 56, 61, 73, 78, 82, 92, 93, 94, 96, 98, 99, 101, 102, 103, 104, 105, 110, 112, 118, 123, 124, 126, 127, 132, 133, 134, 135, 136, 142, 143, 144, 145, 150, 151, 156, 157, 161, 162, 163, 164, 165, 166, 167, 170, 174, 175, 182, 183, 184, 194, 198, 199, 207, 212, 227, 241, 242, 243, 244, 246, 249, 250, 251, 262], "prerequisit": [3, 7, 53, 55, 56, 100, 108, 114, 124, 132, 133, 134, 135, 136, 137, 156, 162, 163, 164, 172, 198], "frontend": [3, 10, 84, 110, 121, 178, 187, 188, 194, 200, 221], "semant": [3, 6, 22, 49, 58, 59, 68, 95, 100, 102, 111, 136, 138, 192, 193, 194, 197, 206, 264], "11": [3, 5, 6, 7, 11, 17, 18, 23, 59, 61, 95, 104, 109, 122, 123, 142, 159, 164, 172, 173, 174, 175, 176, 195, 205, 209, 216, 220, 226, 228, 232, 239, 258, 264, 268], "nvidia": [3, 5, 17, 50, 95, 130, 136, 138, 148, 173, 202, 216, 231, 248, 252, 259], "toolkit": [3, 23, 100, 143, 147], "releas": [3, 4, 6, 10, 17, 20, 23, 24, 42, 50, 105, 108, 109, 112, 122, 123, 125, 140, 143, 153, 163, 165, 169, 200, 202, 205, 209, 221, 264], "greatli": [3, 6, 49, 161], "overhead": [3, 5, 6, 10, 17, 56, 82, 109, 122, 123, 124, 134, 146, 148, 150, 159, 162, 164, 165, 169, 173, 177, 178, 185, 187, 194, 200, 202], "increas": [3, 5, 6, 18, 19, 20, 24, 44, 73, 82, 83, 87, 97, 122, 123, 124, 126, 128, 132, 135, 143, 153, 159, 169, 183, 185, 194, 195, 198, 210], "mostli": [3, 10, 19, 85, 97, 116, 127, 164, 166, 180, 198, 199, 200], "deploy": [3, 4, 25, 42, 60, 97, 112, 126, 178, 187, 200, 205, 221, 228, 229, 254], "appear": [3, 11, 14, 22, 25, 103, 264], "heart": [3, 49, 113, 265], "veri": [3, 4, 5, 6, 8, 12, 14, 15, 18, 19, 21, 22, 23, 24, 25, 45, 47, 48, 49, 58, 59, 60, 61, 65, 73, 75, 76, 85, 99, 101, 113, 115, 117, 123, 124, 125, 127, 135, 136, 150, 153, 154, 158, 161, 162, 164, 165, 166, 167, 169, 170, 177, 179, 183, 190, 192, 196, 199, 206, 265, 266], "time": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 19, 20, 21, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 83, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 125, 126, 127, 128, 130, 131, 134, 135, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 182, 183, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 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123, 142, 149, 159, 172, 173, 174, 175, 187, 195, 198, 199, 201], "But": [3, 6, 8, 10, 20, 42, 44, 45, 52, 73, 78, 101, 103, 116, 125, 148, 153, 154, 155, 161, 174, 175, 177, 179, 183, 186, 190, 193, 201, 206, 219, 224, 229, 254, 264], "slightli": [3, 5, 14, 23, 122, 136, 137, 159, 166, 174, 175, 193], "prealloc": [3, 14], "reus": [3, 10, 65, 78, 111, 131, 138, 142, 154, 161, 177, 178, 186, 188], "tensoropt": [3, 187], "floatcuda": 3, "dtype": [3, 7, 8, 9, 10, 13, 14, 15, 38, 40, 41, 48, 49, 51, 52, 60, 63, 64, 72, 78, 80, 85, 89, 92, 95, 98, 101, 102, 103, 109, 111, 115, 119, 127, 130, 131, 138, 142, 145, 147, 148, 151, 161, 165, 166, 167, 174, 175, 176, 179, 180, 186, 187, 190, 191, 192, 193, 194, 196, 198, 200, 201, 207, 210, 219, 221, 224, 229, 231, 235, 238, 245, 248, 254, 255], "longcuda": 3, "klong": 3, "zero": [3, 6, 7, 11, 16, 17, 19, 25, 32, 40, 41, 44, 47, 48, 49, 60, 63, 64, 65, 67, 68, 69, 73, 78, 87, 92, 95, 98, 99, 103, 104, 110, 111, 117, 118, 122, 123, 127, 128, 135, 136, 137, 142, 145, 150, 151, 154, 156, 157, 158, 161, 162, 164, 166, 170, 179, 182, 186, 190, 192, 193, 195, 201, 202, 210, 224, 236, 247, 248, 254, 257, 260], "ktrainbatchs": 3, "28": [3, 6, 7, 17, 33, 34, 37, 38, 47, 78, 93, 94, 104, 139, 149, 155, 170, 177, 202, 204, 205, 209, 222, 224, 232, 234, 247], "training_step": [3, 149], "void": [3, 5, 6, 15, 22, 23, 59, 145, 156, 187, 189, 209, 232, 239, 247], "cudagraph": 3, "cudastream": 3, "capturestream": 3, "getstreamfrompool": 3, "setcurrentcudastream": 3, "capture_begin": 3, "capture_end": 3, "warm": [3, 21, 70, 103, 109, 169, 173, 177, 178, 194, 204, 232], "side": [3, 20, 51, 52, 82, 103, 139, 148, 153, 155, 156, 161, 162, 167, 169, 189, 262], "prepar": [3, 11, 17, 19, 25, 44, 51, 52, 58, 59, 68, 69, 102, 103, 111, 112, 116, 135, 138, 139, 153, 156, 160, 162, 182, 186, 194, 196, 197, 200, 201, 202, 205, 210, 219, 223, 228, 229], "cach": [3, 64, 111, 138, 145, 169, 177, 178, 185, 186], "cubla": [3, 232], "cudnn": [3, 5, 78, 117, 130, 137, 148, 151, 231], "warmupstream": 3, "int": [3, 4, 5, 6, 9, 11, 14, 18, 19, 22, 23, 24, 51, 53, 55, 58, 59, 60, 75, 85, 87, 98, 109, 115, 118, 122, 123, 126, 136, 138, 145, 147, 149, 156, 157, 162, 163, 164, 165, 169, 173, 174, 175, 179, 182, 186, 189, 194, 207, 209, 210, 214, 216, 221, 224, 254, 258, 262], "num_warmup_it": 3, "success": [3, 6, 14, 23, 73, 101, 103, 126, 145, 166, 189, 205, 207], "replai": [3, 14, 25, 76, 147], "spin": [3, 60, 177], "ordinari": [3, 195], "epoch": [3, 6, 7, 9, 16, 19, 24, 37, 38, 44, 52, 53, 55, 75, 87, 92, 94, 96, 97, 98, 99, 102, 103, 104, 112, 115, 117, 118, 122, 123, 126, 130, 136, 148, 149, 153, 158, 160, 164, 166, 167, 170, 179, 199, 222, 231, 242, 246, 251], "59584": 3, "60000": [3, 136], "3921": 3, "2051": 3, "accuraci": [3, 9, 17, 19, 20, 24, 37, 38, 44, 92, 97, 104, 115, 119, 120, 121, 122, 123, 126, 130, 149, 151, 157, 158, 159, 163, 167, 170, 172, 178, 183, 186, 195, 196, 199, 200, 202, 219, 222, 228, 229], "938": [3, 6, 148], 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162, 172, 204, 209, 224], "nevertheless": [3, 5, 19, 23, 148, 160], "primari": [4, 5, 6, 15, 143, 176, 177, 178, 187, 194, 207], "program": [4, 5, 18, 21, 22, 23, 25, 60, 61, 98, 100, 101, 103, 121, 124, 127, 144, 163, 173, 174, 178, 198, 199, 200, 201], "languag": [4, 5, 6, 7, 21, 23, 24, 25, 44, 49, 58, 59, 60, 78, 79, 98, 100, 102, 116, 118, 119, 121, 124, 126, 127, 128, 138, 164, 166, 174, 175, 182, 187, 196, 247, 254, 256, 263, 264, 265], "suitabl": [4, 8, 132, 136, 140, 172, 200, 224], "prefer": [4, 6, 8, 53, 58, 146, 151, 156, 160, 177, 195, 254], "eas": [4, 5, 85, 122, 178, 221], "situat": [4, 15, 23, 25, 37, 130, 131, 134, 136, 179, 185, 196], "properti": [4, 5, 6, 11, 14, 21, 23, 25, 32, 40, 48, 101, 103, 126, 148, 154, 166, 174, 175, 177, 178, 191, 209, 221, 250, 258, 262], "unfavor": 4, "environ": [4, 5, 6, 7, 11, 17, 18, 22, 25, 42, 55, 61, 82, 85, 105, 112, 114, 115, 121, 122, 123, 124, 133, 134, 135, 136, 145, 149, 150, 156, 161, 162, 163, 164, 173, 174, 175, 176, 177, 205, 207, 209, 213, 215, 216, 223, 224, 232, 254, 260], "latter": [4, 5, 6, 60, 61, 126, 162, 199], "land": [4, 23, 113, 147, 192, 221], "latenc": [4, 6, 17, 121, 124, 126, 133, 145, 159, 173, 177, 178, 188, 195, 202, 224], "strict": [4, 112, 172, 191, 221, 249], "bind": [4, 6, 10, 23, 121, 177, 178, 264], "java": [4, 58, 178, 205, 223, 224], "rust": 4, "paragraph": [4, 6, 23, 265, 268], "outlin": [4, 5, 6, 23, 228], "pure": [4, 5, 6, 10, 23, 47, 121, 127, 131, 139, 155, 179, 187, 200], "journei": [4, 6, 52, 138], "enabl": [4, 5, 6, 8, 11, 14, 15, 16, 18, 19, 23, 24, 42, 47, 55, 56, 58, 59, 60, 61, 75, 82, 97, 107, 112, 122, 123, 124, 126, 129, 130, 131, 134, 136, 138, 145, 148, 153, 157, 159, 160, 169, 170, 172, 176, 177, 178, 180, 184, 185, 190, 192, 194, 196, 197, 200, 205, 221, 225, 226, 229, 231, 241, 262], "vanilla": [4, 5, 6, 23, 49, 65, 99, 111, 127, 172, 190], "eager": [4, 10, 23, 60, 85, 86, 121, 129, 145, 148, 165, 173, 175, 182, 196, 198, 199, 200, 201, 211, 222], 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210, 217, 219, 221, 223, 224, 225, 226, 232, 239, 248, 253, 254, 256, 258], "scriptmodul": [4, 22, 23, 25, 85, 204, 223, 254, 258], "embed": [4, 7, 9, 16, 21, 23, 49, 60, 75, 79, 93, 98, 100, 102, 110, 112, 115, 118, 121, 122, 124, 138, 163, 164, 166, 170, 176, 182, 189, 194, 196, 242, 264], "resnet18": [4, 43, 90, 117, 148, 158, 159, 169, 172, 183, 196, 198, 199, 200, 230, 239, 258], "normal": [4, 6, 8, 11, 12, 19, 20, 21, 37, 39, 49, 51, 52, 58, 59, 60, 65, 73, 80, 85, 87, 90, 92, 94, 96, 97, 98, 99, 102, 103, 111, 112, 117, 119, 123, 127, 128, 130, 136, 137, 140, 147, 149, 154, 158, 159, 162, 163, 165, 166, 167, 169, 170, 172, 173, 178, 183, 185, 191, 198, 199, 205, 210, 214, 221, 222, 224, 225, 226, 229, 230, 242, 243, 244, 251, 254, 255, 264], "rand": [4, 5, 6, 14, 15, 17, 21, 23, 25, 33, 40, 43, 48, 85, 89, 92, 93, 95, 96, 109, 114, 130, 131, 145, 147, 153, 154, 165, 177, 178, 179, 180, 188, 196, 198, 199, 202, 204, 207, 211, 212, 215, 220, 221, 224, 225, 226, 227, 234, 240, 248, 254, 255, 258], "224": [4, 12, 19, 20, 51, 58, 59, 75, 90, 97, 117, 119, 140, 143, 144, 153, 158, 159, 167, 169, 172, 177, 178, 183, 188, 189, 195, 198, 199, 200, 205, 207, 214, 219, 221, 224, 225, 226, 230, 239, 248, 254, 255, 258], "traced_script_modul": [4, 224], "ident": [4, 6, 17, 55, 85, 124, 133, 143, 151, 158, 167, 170, 186, 193, 195, 202, 219], "2698": 4, "0381": 4, "4023": 4, "3010": 4, "0448": 4, "slicebackward": 4, "circumst": [4, 5], "emploi": [4, 97, 166, 169], "particular": [4, 5, 6, 8, 11, 23, 42, 44, 51, 60, 82, 83, 87, 103, 124, 126, 127, 136, 137, 139, 140, 151, 155, 163, 172, 174, 175, 179, 180, 190, 191, 193, 194, 224], "form": [4, 6, 9, 12, 15, 17, 23, 47, 49, 52, 60, 98, 105, 110, 113, 116, 121, 125, 128, 140, 145, 166, 172, 175, 185, 194, 202, 203, 214, 264], "accordingli": [4, 10, 12, 18, 22, 137, 150, 153, 162, 172, 189, 262], "sai": [4, 5, 6, 24, 43, 51, 99, 101, 103, 113, 115, 125, 139, 146, 150, 153, 157, 169, 185, 201, 223, 265], "mymodul": [4, 6, 109, 173, 174, 175, 203, 213], "__init__": [4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 19, 20, 21, 22, 25, 33, 37, 38, 44, 45, 47, 49, 51, 52, 53, 60, 65, 67, 73, 78, 79, 85, 87, 89, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 109, 111, 112, 115, 118, 123, 125, 127, 128, 129, 130, 134, 135, 136, 139, 143, 144, 147, 149, 150, 151, 154, 155, 157, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 194, 195, 196, 198, 199, 200, 203, 204, 210, 213, 215, 216, 217, 219, 220, 222, 224, 227, 229, 234, 235, 238, 240, 241, 242, 243, 244, 245, 249, 250, 251, 253, 254, 264], "n": [4, 5, 6, 7, 9, 12, 17, 19, 22, 23, 32, 33, 37, 38, 40, 43, 47, 48, 49, 51, 59, 60, 75, 82, 85, 89, 90, 93, 94, 95, 97, 104, 110, 113, 115, 118, 122, 123, 127, 130, 134, 136, 137, 138, 144, 146, 147, 148, 151, 154, 157, 161, 162, 163, 164, 166, 167, 170, 179, 183, 185, 186, 190, 191, 192, 193, 194, 198, 199, 201, 202, 206, 209, 214, 221, 231, 232, 237, 245, 248, 256, 258], "mv": [4, 110], 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6, 9, 10, 16, 22, 23, 42, 49, 58, 59, 60, 98, 99, 102, 103, 122, 135, 136, 151, 156, 160, 162, 163, 164, 176, 179, 188, 195, 198, 199, 200, 209, 214, 224, 225, 226, 229, 254], "hand": [4, 5, 6, 8, 14, 17, 18, 23, 61, 73, 98, 103, 128, 136, 140, 155, 173, 178, 191, 202], "shown": [4, 6, 8, 17, 19, 20, 21, 52, 58, 59, 113, 116, 124, 126, 138, 145, 147, 158, 161, 162, 164, 165, 169, 172, 173, 177, 178, 184, 189, 191, 192, 193, 196, 199, 201, 202, 221, 229, 254, 262, 264], "filenam": [4, 6, 49, 104, 109, 116, 127, 128, 172, 231], "traced_resnet_model": 4, "pt": [4, 6, 22, 23, 25, 53, 58, 59, 75, 112, 117, 119, 122, 123, 138, 189, 195, 205, 207, 209, 219, 221, 222, 223, 224, 225, 226, 229, 241, 242, 243, 244, 249, 258], "my_module_model": 4, "left": [4, 17, 32, 43, 47, 49, 51, 52, 64, 85, 89, 99, 103, 111, 112, 113, 136, 138, 147, 151, 160, 161, 163, 165, 169, 170, 201, 202, 262, 264], "realm": [4, 6], "cross": [4, 7, 8, 13, 20, 44, 52, 95, 118, 124, 126, 177, 264], "sphere": 4, 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221, 258], "const": [4, 5, 6, 8, 10, 15, 22, 23, 59, 145, 156, 187, 209, 221, 223, 232, 247, 258], "char": [4, 22, 23, 59, 145, 209, 221, 258], "cerr": [4, 22, 23, 221, 258], "app": [4, 23, 105, 119, 121, 140, 195, 205, 214, 221, 223, 228, 229, 254], "try": [4, 6, 12, 14, 15, 17, 19, 21, 22, 23, 25, 42, 44, 47, 48, 49, 52, 53, 58, 59, 60, 61, 73, 79, 97, 98, 99, 100, 101, 104, 105, 109, 116, 125, 126, 127, 128, 130, 137, 143, 145, 147, 148, 150, 151, 153, 156, 157, 160, 161, 165, 166, 169, 173, 174, 175, 177, 183, 185, 188, 191, 198, 202, 204, 209, 214, 221, 223, 258, 264, 265], "deseri": [4, 6, 23, 112, 183, 198, 199], "catch": [4, 8, 11, 22, 58, 209, 221, 223, 258], "c10": [4, 8, 10, 15, 22, 145, 156, 187, 189, 209, 221, 232, 247, 258], "ok": [4, 103, 162, 264], "relev": [4, 6, 14, 53, 98, 100, 103, 113, 114, 122, 124, 157, 172], "accept": [4, 5, 20, 67, 78, 87, 97, 102, 111, 115, 116, 124, 126, 142, 146, 151, 155, 160, 163, 169, 172, 180, 201, 203, 206, 254], "proce": [4, 11, 25, 97, 99, 145, 158, 166], "examin": [4, 11, 22, 25, 58, 59, 82, 97, 144], "moment": [4, 6, 11, 174, 180, 193, 207, 224], "cpp": [4, 5, 6, 8, 22, 23, 120, 121, 145, 188, 197, 200, 209, 221, 247, 258], "cmakelist": [4, 6, 22, 23, 209, 221, 258], "txt": [4, 5, 6, 9, 22, 23, 49, 75, 116, 127, 128, 138, 145, 159, 166, 186, 209, 221, 258], "cmake_minimum_requir": [4, 6, 22, 23, 209, 221, 258], "fatal_error": [4, 6, 22, 23, 209, 221, 258], "custom_op": [4, 108, 174, 175, 258], "find_packag": [4, 6, 22, 23, 221, 258], "add_execut": [4, 6, 22, 23, 221, 258], "target_link_librari": [4, 6, 22, 23, 209, 221, 258], "torch_librari": [4, 6, 8, 22, 23, 221, 258], "set_properti": [4, 6, 221, 258], "cxx_standard": [4, 6, 221, 258], "14": [4, 6, 22, 23, 24, 47, 73, 92, 123, 145, 172, 177, 209, 221, 222, 229, 232, 239, 268], "last": [4, 6, 11, 12, 14, 19, 23, 40, 43, 49, 52, 53, 59, 60, 73, 83, 85, 87, 99, 102, 105, 113, 117, 121, 124, 125, 127, 128, 136, 137, 143, 145, 149, 150, 153, 158, 160, 161, 162, 164, 165, 166, 170, 177, 179, 189, 190, 193, 194, 219, 221, 223, 229, 248, 254], "thing": [4, 5, 6, 8, 15, 21, 22, 23, 25, 43, 44, 47, 49, 58, 59, 85, 87, 97, 98, 99, 101, 102, 103, 113, 116, 124, 125, 126, 130, 131, 132, 133, 136, 137, 140, 144, 145, 148, 149, 154, 159, 160, 167, 178, 183, 185, 196, 198, 209, 264], "grab": [4, 6, 52, 159, 164], "latest": [4, 6, 10, 14, 20, 87, 107, 108, 112, 121, 138, 158, 159, 160, 163, 166, 167, 172, 173, 209, 259, 262], "stabl": [4, 20, 26, 27, 28, 29, 30, 32, 33, 34, 37, 38, 40, 94, 98, 113, 141, 159, 168, 169, 171, 182, 224, 231, 234, 252, 262], "page": [4, 6, 10, 22, 23, 50, 54, 61, 109, 127, 140, 164, 169, 176, 200, 205, 209, 210, 218, 221, 223, 266, 268], "websit": [4, 6, 161], "unzip": [4, 6, 19, 50, 172, 179, 182, 183, 198, 199, 209], "archiv": [4, 5, 6, 25, 148, 259], "against": [4, 22, 23, 44, 60, 81, 105, 136, 148, 160, 221], "window": [4, 5, 6, 7, 20, 44, 51, 103, 105, 134, 163, 169, 179, 207, 264], "debug": [4, 6, 8, 19, 25, 58, 59, 60, 78, 98, 121, 125, 174, 175, 187, 196, 197, 232, 257], "abi": [4, 5, 6, 22, 23, 205, 207, 209, 221], "plan": [4, 6, 10, 18, 60, 112, 122, 124, 172, 176, 183, 188, 193, 199, 207, 209, 225], "correct": [4, 5, 6, 8, 10, 11, 12, 13, 19, 37, 38, 43, 44, 47, 49, 60, 64, 73, 85, 87, 92, 97, 98, 99, 102, 111, 122, 123, 125, 127, 130, 134, 137, 145, 148, 154, 157, 160, 162, 163, 166, 167, 169, 170, 183, 194, 198, 199, 222, 262], "laid": 4, "within": [4, 5, 7, 14, 18, 21, 23, 61, 85, 103, 105, 109, 110, 124, 131, 138, 143, 145, 154, 157, 161, 163, 172, 177, 178, 186, 187, 193, 194, 196, 200, 207, 209, 262, 264], "mkdir": [4, 6, 23, 104, 147, 169, 172, 182, 195, 209], "dcmake_prefix_path": [4, 6, 22, 23, 221, 258], "config": [4, 6, 10, 17, 20, 24, 87, 123, 126, 129, 138, 145, 159, 177, 178, 180, 185, 186, 187, 198, 200, 202, 221, 253, 256], "someth": [4, 5, 6, 11, 14, 19, 23, 25, 44, 87, 99, 101, 113, 116, 136, 145, 158, 159, 160, 166, 206, 264], "root": [4, 5, 6, 14, 22, 23, 34, 37, 38, 41, 43, 44, 51, 52, 87, 92, 97, 98, 110, 130, 137, 145, 163, 164, 167, 169, 179, 189, 205, 214, 221, 224, 237, 251, 254, 255, 262], "4b5a67132e81": 4, "identif": [4, 6, 22, 23, 221], "gnu": [4, 5, 6, 22, 23, 221, 248], "cxx": [4, 6, 22, 23, 205, 207, 209, 221], "check": [4, 5, 6, 7, 8, 13, 14, 15, 19, 20, 22, 23, 25, 42, 43, 44, 45, 49, 50, 52, 55, 58, 59, 60, 73, 75, 85, 97, 98, 101, 104, 105, 108, 109, 110, 115, 116, 122, 126, 134, 136, 137, 140, 142, 143, 145, 147, 148, 154, 155, 157, 159, 160, 163, 172, 173, 174, 175, 177, 179, 189, 193, 194, 199, 201, 207, 209, 221, 223, 224, 254], "usr": [4, 6, 18, 22, 23, 136, 195, 221], "cc": [4, 6, 22, 23, 43, 108, 118, 205, 207, 221], "detect": [4, 6, 11, 12, 18, 22, 23, 52, 75, 121, 140, 159, 169, 173, 221], "info": [4, 5, 6, 22, 23, 82, 118, 133, 136, 138, 147, 161, 172, 174, 175, 176, 186, 208, 221, 222, 229], "pthread": [4, 5, 6, 22, 23, 209, 221], "pthread_creat": [4, 6, 22, 23, 221], "thread": [4, 5, 6, 8, 9, 21, 22, 23, 52, 61, 109, 134, 135, 138, 150, 159, 162, 163, 164, 177, 178, 182, 183, 195, 221, 232, 247], "scan": [4, 6, 22, 23, 172], "50": [4, 6, 7, 12, 16, 17, 19, 21, 22, 23, 24, 49, 52, 53, 58, 78, 92, 137, 145, 148, 157, 161, 164, 167, 178, 179, 183, 186, 192, 198, 200, 202, 204, 220, 222, 224, 229, 231, 248], "cmakefil": [4, 6, 22, 23], "dir": [4, 6, 22, 23, 82, 126, 148, 149, 205, 209, 224, 247], "o": [4, 5, 6, 7, 17, 22, 23, 90, 97, 98, 108, 128, 138, 151, 153, 172, 202, 264], "100": [4, 6, 9, 14, 16, 17, 19, 21, 22, 23, 37, 38, 44, 45, 48, 49, 52, 63, 64, 67, 68, 69, 71, 72, 80, 89, 92, 93, 94, 97, 99, 111, 119, 123, 125, 127, 128, 129, 130, 134, 139, 144, 145, 146, 147, 148, 150, 155, 157, 159, 160, 161, 164, 166, 167, 170, 172, 173, 174, 175, 177, 178, 183, 188, 192, 196, 198, 199, 202, 216, 220, 222, 232, 235, 247, 259], "suppli": [4, 6, 101, 148, 159, 264], "binari": [4, 6, 20, 22, 23, 49, 52, 105, 136, 148, 157, 173, 179, 189, 191, 197, 200, 205, 209, 219, 221, 223, 224, 232], "incompat": [4, 174, 175, 198], "1d": [4, 68, 93, 111, 206], "4d": [4, 47, 78, 148, 201], "path_to_model": 4, "successfulli": [4, 6, 22, 50, 58, 59, 60, 105, 119, 126, 136, 145, 163, 192, 195, 207, 226, 228, 242, 258], "coupl": [4, 14, 49, 103, 122, 124, 131, 137, 139, 153, 170, 184, 204], "awai": [4, 5, 6, 23, 47, 60, 98, 99, 101, 113, 144, 150, 160, 161, 162, 193, 264], "ivalu": [4, 23, 58, 145, 156, 207, 209, 221, 224, 258], "push_back": [4, 22, 23, 221, 258], "totensor": [4, 12, 19, 20, 23, 34, 37, 38, 44, 51, 52, 58, 59, 73, 75, 87, 90, 92, 94, 96, 97, 116, 117, 119, 123, 130, 136, 140, 149, 158, 159, 163, 167, 169, 170, 172, 183, 188, 189, 198, 199, 205, 207, 214, 221, 222, 224, 230, 251, 255, 258], "slice": [4, 5, 48, 80, 102, 127, 151, 157, 194, 207], "eras": [4, 25], "org": [4, 6, 26, 27, 28, 29, 30, 32, 33, 34, 35, 37, 38, 40, 42, 45, 46, 49, 58, 59, 74, 77, 84, 91, 93, 94, 96, 100, 104, 106, 113, 120, 122, 127, 128, 138, 141, 142, 143, 144, 153, 154, 158, 159, 166, 168, 169, 171, 173, 175, 182, 185, 188, 189, 191, 193, 195, 197, 204, 205, 206, 207, 208, 209, 214, 222, 223, 224, 225, 227, 231, 234, 235, 236, 237, 238, 258, 262, 264], "cppdoc": [4, 6], "pariti": 4, "manipul": [4, 60, 103, 144, 153, 183, 186], "five": [4, 9, 65, 95, 111, 113], "ideal": [4, 6, 14, 58, 59, 97, 150, 166, 178, 198], "variabl": [4, 5, 6, 7, 8, 12, 20, 22, 23, 42, 49, 60, 69, 76, 82, 87, 98, 99, 101, 111, 114, 127, 133, 136, 145, 162, 165, 174, 175, 177, 185, 192, 194, 206, 207, 209, 223, 254], "kcuda": [4, 6, 187], "live": [4, 6, 10, 15, 121, 125, 135, 163, 164, 193, 264], "hopefulli": [4, 6, 50, 51, 73, 85, 99, 112], "equip": [4, 5, 131, 137, 190], "concept": [4, 6, 11, 22, 55, 100, 101, 114, 121, 126, 147, 162, 165, 166, 187, 198, 200, 201], "Of": [4, 14, 23, 97, 101, 125, 134, 136, 170, 191, 193], "cours": [4, 6, 14, 17, 19, 23, 53, 97, 100, 101, 103, 104, 125, 134, 136, 170, 202], "did": [4, 6, 8, 19, 23, 25, 44, 52, 60, 68, 105, 111, 113, 136, 142, 154, 160, 163, 166, 177, 183, 264], "cover": [4, 5, 14, 15, 16, 18, 22, 25, 47, 58, 59, 100, 108, 113, 114, 119, 121, 122, 126, 136, 156, 160, 163, 164, 170, 173, 174, 175, 176, 192, 194, 198, 201, 221, 254], "insid": [4, 5, 6, 10, 16, 17, 18, 20, 22, 23, 45, 78, 108, 124, 169, 179, 196, 202, 206, 224, 264], "shortli": [4, 162], "html": [4, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 40, 45, 46, 52, 57, 74, 77, 84, 90, 91, 94, 100, 104, 106, 113, 114, 118, 120, 122, 138, 141, 143, 144, 158, 168, 171, 172, 175, 182, 188, 189, 191, 193, 204, 205, 231, 234, 235, 236, 238, 264], "peter": 5, "goldsborough": 5, "plethora": 5, "relat": [5, 11, 14, 52, 60, 101, 103, 113, 124, 145, 154, 174, 175, 183, 264], "algebra": [5, 14, 48, 99], "wrangl": 5, "novel": 5, "research": [5, 6, 17, 19, 23, 25, 49, 52, 60, 73, 75, 85, 99, 114, 115, 136, 138, 151, 155, 157, 172, 182, 202], "modul": [5, 7, 9, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 33, 37, 38, 39, 42, 44, 45, 47, 49, 52, 53, 55, 58, 59, 65, 66, 68, 73, 78, 79, 87, 89, 92, 94, 95, 96, 97, 98, 99, 102, 103, 105, 107, 108, 109, 110, 112, 115, 116, 117, 118, 121, 122, 123, 124, 125, 127, 128, 129, 130, 134, 136, 139, 143, 144, 145, 147, 148, 151, 153, 155, 156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 176, 177, 178, 180, 182, 183, 184, 185, 186, 187, 188, 189, 194, 195, 197, 198, 199, 200, 201, 202, 204, 207, 209, 210, 213, 215, 216, 220, 221, 222, 223, 224, 227, 228, 229, 232, 234, 235, 236, 239, 240, 241, 242, 243, 244, 249, 250, 251, 252, 253, 254, 258, 263, 264, 265], "power": [5, 6, 23, 43, 49, 57, 65, 73, 75, 87, 97, 99, 121, 123, 126, 136, 145, 147, 151, 156, 157, 159, 166, 172, 185, 188, 193, 195, 228, 264], "spare": [5, 6], "deriv": [5, 6, 10, 17, 23, 25, 43, 48, 76, 78, 99, 101, 102, 103, 110, 125, 130, 131, 142, 146, 196, 202], "express": [5, 13, 23, 95, 98, 107, 114, 124, 138, 174, 175, 192, 198, 199, 201, 210, 264], "better": [5, 6, 14, 17, 19, 21, 44, 52, 56, 61, 79, 97, 103, 109, 113, 115, 121, 126, 127, 128, 140, 145, 146, 147, 153, 155, 158, 160, 161, 166, 169, 170, 172, 174, 175, 177, 178, 183, 185, 190, 191, 196, 198, 199, 200, 201, 202, 224], "frequent": [5, 22, 23, 75, 82, 103, 123, 176, 177, 178, 192, 221], "expens": [5, 17, 97, 109, 164, 178, 185, 202], "plausibl": 5, "address": [5, 12, 18, 22, 24, 82, 136, 162, 163, 175, 177, 198, 265], "nativ": [5, 6, 8, 15, 23, 42, 55, 87, 107, 108, 119, 121, 122, 124, 137, 138, 164, 177, 178, 180, 185, 190, 193, 198, 221, 224, 239, 247], "intend": [5, 6, 8, 12, 23, 97, 123, 124, 130, 145, 148, 165, 173, 174, 175, 190, 198], "much": [5, 6, 8, 10, 12, 14, 17, 19, 23, 25, 52, 56, 73, 97, 98, 99, 103, 112, 119, 122, 125, 126, 143, 146, 147, 153, 159, 160, 163, 164, 166, 169, 170, 173, 177, 185, 190, 193, 201, 202, 219, 228, 229, 262, 264], "boilerpl": [5, 6, 19, 44, 99, 170, 190], "degre": [5, 64, 126, 166, 169, 193], "matter": [5, 135, 172, 190, 192], "organ": [5, 8, 14, 23, 51, 112, 127, 144, 150, 265], "tackl": [5, 109], "decid": [5, 6, 8, 10, 17, 18, 52, 87, 161, 176, 193, 197, 202], "contribut": [5, 52, 61, 65, 82, 111, 138, 148, 169, 177], "upstream": [5, 221], "rest": [5, 6, 14, 44, 117, 121, 137, 140, 144, 158, 160, 162, 163, 192, 199, 219, 264, 265], "chase": [5, 113], "someon": [5, 166], "fire": [5, 134], "dai": [5, 42, 103, 115, 116, 124], "head": [5, 7, 17, 21, 42, 75, 83, 109, 113, 124, 126, 134, 158, 165, 179, 194, 202], "straight": [5, 6, 23, 140, 166], "recurr": [5, 9, 44, 49, 60, 79, 81, 98, 102, 110, 121, 127, 128, 154, 166, 182, 196], "unit": [5, 6, 25, 49, 110, 122, 123, 146, 151, 157, 160, 161, 166, 172, 177, 178, 188], "superior": 5, "lstm": [5, 44, 49, 78, 79, 93, 100, 110, 119, 121, 127, 128, 164, 182, 184, 196, 229, 235, 252], "lack": [5, 15, 82, 190], "forget": [5, 6, 112, 158, 173, 189], "gate": [5, 49], "exponenti": [5, 49, 99, 101, 154, 161, 185], "elu": [5, 110], "never": [5, 7, 98, 99, 100, 103, 115, 125, 157, 167], "lltm": 5, "long": [5, 6, 7, 9, 10, 20, 23, 49, 50, 60, 78, 80, 82, 87, 98, 99, 100, 101, 103, 113, 118, 122, 125, 127, 128, 137, 138, 144, 145, 150, 154, 161, 164, 166, 169, 179, 186, 187, 196, 198, 209, 224, 232, 239, 247, 264, 265], "term": [5, 6, 15, 52, 73, 99, 100, 101, 109, 122, 124, 151, 157, 160, 175, 185, 193, 198, 199, 200, 201, 203, 264, 265], "signific": [5, 6, 9, 19, 42, 52, 58, 59, 82, 122, 130, 138, 144, 145, 146, 148, 153, 160, 165, 169, 173, 178, 204, 224, 264], "lstmcell": 5, "cell": [5, 21, 23, 25, 50, 60, 75, 80, 109, 160, 161, 165, 172, 185, 265], "plain": [5, 6, 23, 49, 127, 128, 166, 179], "input_featur": 5, "state_s": 5, "candid": [5, 145], "reset_paramet": [5, 130], "stdv": 5, "math": [5, 7, 10, 49, 63, 64, 65, 67, 68, 69, 71, 72, 85, 89, 95, 101, 104, 110, 111, 118, 127, 128, 130, 151, 159, 161, 165, 166, 268], "sqrt": [5, 7, 85, 104, 118, 130, 190, 203], "uniform_": [5, 6, 7, 9, 115, 164, 182, 196, 203], "old_h": 5, "old_cel": 5, "cat": [5, 7, 9, 20, 21, 40, 44, 48, 49, 60, 78, 90, 92, 98, 101, 102, 110, 115, 118, 128, 135, 140, 145, 150, 161, 164, 166, 170, 179, 182, 201, 230, 251], "gate_weight": 5, "split": [5, 7, 8, 9, 18, 19, 20, 21, 45, 49, 52, 60, 79, 85, 87, 98, 99, 102, 103, 113, 118, 121, 127, 128, 134, 135, 138, 143, 150, 160, 163, 164, 166, 179, 182, 183, 186, 194, 198, 199, 247], "input_g": 5, "sigmoid": [5, 6, 52, 93, 110, 180, 201, 248, 253], "output_g": 5, "tanh": [5, 6, 14, 25, 49, 52, 60, 93, 99, 110, 127, 146, 160, 166, 248], "candidate_cel": 5, "new_cel": 5, "hidden": [5, 7, 9, 21, 49, 60, 78, 97, 98, 102, 124, 126, 127, 128, 137, 143, 149, 164, 165, 166, 182, 196, 198, 235, 262], "new_h": [5, 25, 51], "rnn": [5, 9, 21, 25, 45, 49, 60, 61, 78, 79, 93, 110, 118, 121, 135, 137, 154, 163, 166, 182, 196, 200, 248], "new_c": 5, "intel": [5, 121, 136, 145, 148, 200, 207, 222, 252], "mkl": [5, 145, 239], "nnpack": 5, "why": [5, 6, 8, 11, 14, 25, 44, 52, 85, 97, 99, 103, 112, 114, 131, 134, 145, 153, 166, 173, 174, 175, 191, 193, 264], "room": [5, 97, 150, 264], "obviou": [5, 113], "knowledg": [5, 49, 52, 73, 99, 100, 114, 121, 145, 147, 264], "execut": [5, 6, 7, 8, 11, 15, 16, 20, 21, 22, 23, 25, 42, 43, 45, 50, 60, 61, 76, 78, 82, 98, 108, 120, 121, 125, 126, 135, 136, 137, 144, 145, 148, 150, 156, 160, 161, 163, 164, 165, 173, 174, 175, 177, 178, 183, 184, 186, 187, 188, 195, 204, 205, 207, 209, 224, 225, 226, 231, 254], "kernel": [5, 6, 8, 13, 17, 18, 23, 47, 83, 108, 110, 121, 139, 145, 148, 150, 154, 155, 157, 165, 166, 169, 173, 177, 178, 185, 187, 200, 202], "involv": [5, 8, 9, 15, 16, 17, 19, 23, 25, 50, 60, 85, 98, 101, 105, 112, 120, 125, 127, 133, 140, 147, 153, 164, 166, 174, 175, 183, 185, 194, 202], "launch": [5, 6, 21, 53, 61, 115, 126, 133, 134, 150, 162, 163, 164, 165, 169, 177, 207, 227], "amount": [5, 19, 25, 73, 82, 112, 124, 134, 157, 173, 185, 224], "becom": [5, 6, 11, 21, 24, 52, 61, 73, 75, 78, 85, 97, 124, 131, 146, 148, 169, 170, 177, 187, 194, 198, 254], "furthermor": [5, 19, 97, 139, 146, 170, 177, 187, 201, 225, 226], "interpret": [5, 6, 23, 25, 40, 56, 82, 85, 103, 121, 127, 128, 138, 166, 173, 174, 175, 187, 197, 230, 236, 252, 264], "slow": [5, 6, 8, 42, 123, 149, 177, 229], "down": [5, 8, 10, 11, 16, 19, 42, 50, 82, 87, 99, 104, 123, 137, 145, 146, 147, 163, 167, 170, 177, 190, 262], "therefor": [5, 6, 9, 15, 19, 49, 51, 60, 97, 108, 112, 113, 115, 120, 134, 135, 148, 151, 156, 157, 163, 164, 174, 175, 177, 192, 193, 201, 207, 224, 264], "rewrit": [5, 21, 45, 60, 107, 130, 154, 174, 175, 201, 206, 207, 254], "fuse": [5, 17, 19, 121, 145, 158, 159, 177, 178, 180, 182, 183, 185, 195, 199, 202, 207, 228, 248, 254], "group": [5, 7, 11, 16, 18, 19, 24, 49, 61, 83, 109, 113, 120, 121, 122, 123, 128, 130, 132, 134, 135, 136, 145, 169, 176, 179, 264, 265], "profit": 5, "fewer": [5, 11, 130, 146], "visibl": [5, 22, 23, 44, 87, 172, 183], "aten": [5, 8, 10, 15, 23, 42, 109, 145, 169, 174, 175, 178, 183, 186, 187, 189, 198, 199, 200, 220, 221, 227, 239, 245, 247], "translat": [5, 23, 25, 49, 60, 105, 107, 116, 118, 151, 166, 188, 192, 254], "benefit": [5, 6, 9, 17, 18, 42, 43, 85, 87, 119, 122, 142, 148, 153, 158, 165, 177, 185, 198, 202, 221], "massiv": [5, 25, 44, 101, 103, 221], "parallel": [5, 6, 11, 16, 18, 44, 46, 49, 51, 52, 55, 73, 79, 87, 112, 121, 126, 132, 136, 138, 145, 151, 160, 162, 163, 164, 176, 177, 231, 241, 248, 260], "ahead": [5, 22, 153, 170, 174, 175, 180, 189], "cpp_extens": [5, 10, 23, 156, 209, 232], "setup": [5, 6, 7, 10, 16, 19, 22, 42, 52, 53, 55, 122, 123, 126, 134, 149, 150, 153, 156, 159, 164, 185, 189, 192, 193, 205, 206, 207, 215, 232, 247], "lltm_cpp": 5, "ext_modul": [5, 10, 23, 156], "cppextens": [5, 10, 23, 156], "cmdclass": [5, 10, 23, 156], "build_ext": [5, 10, 23, 156], "buildextens": [5, 10, 23, 156], "conveni": [5, 8, 14, 22, 23, 44, 47, 49, 101, 125, 127, 128, 139, 146, 156, 160, 191, 193, 221, 254], "wrapper": [5, 6, 8, 16, 55, 112, 122, 123, 131, 137, 147, 160, 172, 197, 200, 241], "include_dir": [5, 10, 156], "include_path": 5, "manag": [5, 22, 43, 49, 61, 108, 109, 113, 120, 124, 132, 133, 134, 150, 154, 165, 169, 178, 233], "And": [5, 6, 10, 22, 23, 24, 25, 52, 101, 103, 105, 113, 131, 145, 146, 148, 151, 159, 169, 170, 173, 174, 175, 177, 178, 196, 200, 201, 214], "overal": [5, 19, 42, 49, 122, 123, 136, 150, 161, 172, 198, 201, 229], "d_sigmoid": 5, "bit": [5, 12, 15, 23, 25, 51, 68, 95, 109, 113, 117, 137, 149, 159, 160, 161, 166, 185, 190, 198, 200, 208, 229], "pybind11": [5, 8, 22, 23, 156, 232], "datatyp": [5, 23, 40, 48, 109, 221], "Its": [5, 97, 99, 194, 264], "inspect": [5, 23, 78, 97, 108, 122, 126, 144, 165, 167, 173, 174, 175, 183, 186], "notic": [5, 8, 14, 21, 22, 23, 25, 32, 42, 43, 44, 52, 60, 73, 85, 97, 99, 112, 131, 136, 145, 147, 150, 154, 155, 158, 160, 169, 173, 174, 175, 177, 178, 189, 190, 192, 196], "dispos": 5, "nvcc": 5, "workaround": [5, 7, 23, 79, 85, 131, 142], "logic": [5, 6, 11, 17, 23, 85, 98, 123, 126, 133, 135, 157, 163, 164, 172, 178, 184, 202, 203], "sigmoidalphablendforwardcuda": 5, "port": [5, 16, 136, 163], "entir": [5, 6, 14, 16, 18, 19, 25, 47, 49, 53, 60, 78, 97, 99, 102, 117, 121, 122, 123, 127, 130, 135, 143, 150, 153, 155, 157, 158, 160, 164, 166, 177, 183, 190, 191, 192, 195, 198, 199, 209, 264], "lltm_forward": 5, "addmm": [5, 6, 109, 145, 174, 189, 198, 207, 208, 220, 239], "transpos": [5, 6, 7, 12, 40, 44, 48, 49, 51, 52, 60, 90, 92, 94, 96, 110, 117, 118, 130, 145, 147, 154, 158, 161, 165, 167, 170, 174, 175, 194, 207, 230], "respect": [5, 16, 32, 34, 43, 49, 51, 52, 63, 64, 68, 69, 71, 72, 99, 101, 111, 114, 115, 124, 125, 135, 137, 142, 144, 145, 146, 155, 160, 164, 166, 169, 174, 175, 177, 178, 199, 250], "ultim": [5, 19, 49, 52, 60, 85, 190], "plop": [5, 23], "autograd": [5, 12, 13, 15, 16, 21, 25, 32, 40, 42, 46, 47, 57, 59, 61, 62, 68, 69, 77, 78, 81, 91, 93, 98, 100, 101, 104, 109, 110, 119, 121, 127, 128, 130, 131, 134, 135, 145, 146, 151, 155, 161, 162, 163, 166, 178, 192, 201, 206, 209, 213, 217, 227, 231, 248, 256], "nice": [5, 12, 49, 80, 144, 153, 155, 160], "dig": [5, 99, 103, 165], "deeper": [5, 11, 12, 95, 97, 99, 144, 145, 165, 178, 212], "interest": [5, 6, 10, 14, 17, 20, 23, 25, 44, 49, 51, 58, 59, 78, 87, 97, 99, 105, 107, 108, 113, 117, 122, 126, 146, 153, 154, 158, 160, 167, 174, 175, 177, 179, 202, 206, 264], "alex": 5, "grave": 5, "thesi": 5, "d_tanh": 5, "relu": [5, 6, 12, 19, 20, 23, 25, 37, 38, 44, 47, 52, 73, 78, 87, 89, 92, 93, 94, 96, 97, 99, 103, 104, 105, 110, 112, 123, 134, 135, 139, 145, 147, 149, 150, 151, 155, 157, 158, 159, 161, 162, 163, 164, 166, 167, 170, 173, 174, 175, 178, 182, 183, 201, 204, 206, 215, 216, 219, 220, 221, 222, 224, 231, 234, 240, 241, 242, 243, 244, 248, 249, 250, 251, 253, 254], "exp": [5, 7, 9, 65, 89, 98, 99, 104, 111, 118, 125, 131, 142, 161, 192], "d_elu": 5, "mask": [5, 17, 58, 75, 90, 109, 118, 121, 137, 154, 157, 161, 165, 172, 179, 185, 190, 191, 193, 194, 197, 202, 221, 256], "type_a": [5, 118], "lltm_backward": 5, "grad_h": 5, "grad_cel": 5, "d_output_g": 5, "d_tanh_new_cel": 5, "d_new_cel": 5, "d_old_cel": 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166, 170, 172, 174, 175, 182, 183, 185, 186, 190, 192, 193, 195, 198, 201, 202, 209, 224, 229, 262, 263, 264], "bdist_egg": 5, "egg_info": [5, 23], "egg": [5, 23], "pkg": [5, 23, 259], "dependency_link": [5, 23], "top": [5, 6, 8, 17, 19, 20, 22, 23, 38, 50, 51, 52, 82, 83, 94, 96, 97, 115, 124, 127, 136, 140, 144, 158, 159, 164, 165, 169, 170, 177, 179, 183, 198, 199, 200, 202, 210, 228, 258, 262, 266], "top_level": [5, 23], "manifest": [5, 23, 192, 195], "bdist": 5, "x86_64": [5, 18, 23, 205, 209], "install_lib": 5, "temp": [5, 9, 19, 23, 125, 129, 138, 182, 183, 186, 198, 199, 235], "gcc": [5, 23, 108, 145], "miniconda": [5, 18, 23], "compiler_compat": [5, 23], "wl": [5, 22, 23], "sysroot": [5, 23], "wsign": [5, 23], "dndebug": [5, 23], "g": [5, 6, 7, 8, 10, 11, 12, 14, 18, 23, 25, 42, 43, 49, 51, 52, 60, 61, 79, 87, 89, 97, 99, 100, 103, 108, 110, 117, 121, 123, 126, 127, 128, 134, 136, 138, 139, 145, 153, 155, 156, 160, 162, 164, 166, 169, 174, 175, 177, 180, 183, 186, 187, 193, 197, 201, 206, 207, 259, 264], "fwrapv": [5, 23], "o3": [5, 23, 232], "wall": [5, 23, 98, 144, 247], "wstrict": [5, 23], "prototyp": [5, 10, 11, 15, 23, 61, 113, 174, 175, 187, 194, 195, 201, 206, 207], "fpic": [5, 23, 108], "site": [5, 18, 22, 23, 50, 52, 58, 59, 143, 144, 166, 188, 225, 226, 228, 239, 247, 264], "csrc": [5, 22, 23, 156, 189, 223], "th": [5, 14, 23, 51, 99, 103, 136, 147], "thc": [5, 23], "7m": [5, 23], "dtorch_api_include_extension_h": [5, 23], "dtorch_extension_nam": [5, 23], "d_glibcxx_use_cxx11_abi": [5, 23], "cc1plu": [5, 23], "warn": [5, 19, 23, 42, 51, 138, 145, 149, 160, 165, 172, 173, 174, 175, 183, 186, 188, 190, 191, 192, 193, 198, 199, 232, 254], "valid": [5, 7, 9, 13, 17, 20, 23, 24, 49, 87, 94, 97, 104, 107, 109, 112, 113, 115, 117, 118, 122, 123, 126, 130, 131, 149, 156, 158, 172, 179, 182, 183, 191, 192, 201, 202, 205, 223], "objc": [5, 23], "l": [5, 7, 12, 14, 20, 23, 43, 49, 51, 52, 89, 99, 108, 110, 127, 128, 160, 161, 166, 174, 194, 195, 232], "rpath": [5, 23], "cpython": [5, 23], "37m": [5, 23], "stub": [5, 158, 210, 224, 265], "loader": [5, 6, 12, 24, 38, 44, 79, 160, 163, 179, 223, 232], "byte": [5, 138, 140, 175, 182, 209, 231], "37": [5, 7, 17, 109, 159, 164, 178, 202, 239], "pyc": 5, "native_lib": 5, "zip_saf": 5, "analyz": [5, 19, 23, 60, 82, 121, 153, 160, 173, 175, 186], "__pycache__": 5, "__file__": [5, 156, 232], "dist": [5, 7, 11, 16, 18, 110, 122, 123, 134, 136, 154, 156, 163, 176, 215, 216, 260], "py3": 5, "remov": [5, 9, 12, 17, 19, 49, 52, 53, 59, 60, 83, 109, 110, 114, 116, 125, 134, 138, 143, 145, 153, 159, 165, 166, 172, 173, 174, 175, 179, 182, 183, 184, 185, 186, 190, 191, 194, 195, 198, 199, 202, 205, 229, 232, 235, 247, 254, 262], "everyth": [5, 43, 87, 97, 99, 108, 126, 127, 131, 137, 140, 158, 159, 160, 161, 162, 166, 170, 188, 189, 224, 247], "finish": [5, 6, 16, 23, 44, 45, 58, 87, 92, 94, 115, 134, 135, 136, 144, 150, 162, 164, 170, 189, 200, 205, 219, 224, 251], "ubuntu": [5, 6, 169, 209], "16": 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138, 139, 145, 146, 155, 159, 165, 173, 177, 178, 185, 188, 194, 200, 202, 211, 221, 236, 247, 248, 252], "measur": [5, 12, 21, 82, 97, 103, 123, 138, 144, 146, 150, 160, 161, 165, 167, 173, 177, 178, 185, 196, 200, 204, 213, 224, 232, 247], "durat": [5, 83, 156, 161, 169, 178, 264], "32": [5, 14, 17, 18, 19, 20, 21, 23, 24, 47, 52, 55, 73, 87, 92, 93, 97, 102, 105, 109, 123, 126, 130, 137, 138, 145, 146, 147, 148, 151, 155, 159, 163, 164, 165, 166, 167, 169, 172, 174, 175, 177, 178, 179, 199, 204, 220, 229, 232, 234, 240, 248], "128": [5, 6, 12, 22, 51, 52, 55, 73, 87, 97, 103, 109, 118, 123, 124, 126, 127, 128, 130, 135, 136, 137, 138, 139, 145, 150, 155, 159, 161, 162, 163, 164, 166, 173, 179, 186, 201, 204, 208, 213, 221, 231, 232, 233, 234, 247, 255], "100000": [5, 58, 59, 127, 128, 138, 147, 232], "3f": [5, 9, 17, 19, 44, 87, 92, 115, 118, 147, 165, 179, 182, 194, 199, 202, 231, 251], "wrote": [5, 23, 140, 173, 179, 264], "post": [5, 6, 11, 20, 49, 58, 59, 97, 121, 122, 123, 126, 138, 140, 148, 150, 167, 177, 178, 184, 186, 194, 197, 199, 201, 214], "my": [5, 21, 42, 50, 98, 103, 192, 199, 204, 264], "machin": [5, 6, 18, 20, 21, 25, 44, 49, 50, 51, 53, 54, 55, 56, 58, 59, 60, 61, 73, 87, 105, 107, 116, 118, 121, 122, 123, 126, 132, 133, 134, 135, 136, 144, 155, 159, 163, 164, 165, 166, 177, 179, 186, 195, 199, 204], "506": 5, "480": [5, 239], "444": 5, "694": 5, "349": [5, 92], "335": [5, 148, 164, 260], "443": [5, 164, 239], "523": 5, "speedup": [5, 17, 21, 42, 44, 121, 139, 145, 150, 155, 178, 182, 183, 185, 194, 202, 224], "30": [5, 6, 7, 14, 17, 19, 45, 82, 99, 115, 121, 122, 148, 157, 162, 164, 183, 193, 198, 202, 232, 233, 239], "albeit": [5, 14, 229], "major": [5, 10, 11, 19, 103, 117, 145, 153, 165, 173, 177, 178, 193], "particularli": [5, 13, 17, 53, 154, 166, 202], "engin": [5, 6, 14, 20, 43, 61, 87, 107, 119, 123, 159, 164, 172, 175, 179, 188, 206, 208, 221, 229, 262], "wonder": [5, 99, 153], "abstract": [5, 11, 14, 51, 87, 95, 100, 103, 110, 113, 124, 126, 136, 143, 156, 160, 265], "correspondingli": 5, "big": [5, 42, 52, 98, 103, 128, 130, 139, 153, 160, 166, 172, 195], "win": [5, 115, 153, 186], "No": [5, 6, 49, 53, 60, 99, 145, 149, 180, 205, 212], "cuda_devic": 5, "creation": [5, 6, 10, 193, 203, 209], "assert": [5, 9, 11, 12, 17, 18, 19, 22, 51, 94, 95, 98, 105, 108, 125, 129, 130, 134, 139, 142, 143, 145, 146, 151, 154, 155, 163, 165, 170, 173, 182, 194, 195, 201, 202, 206, 209, 210, 211, 231, 232, 245, 253], "synchron": [5, 11, 16, 55, 56, 61, 82, 134, 136, 150, 160, 162, 163, 169, 173, 177, 178, 185, 194, 213, 231, 253], "1e6": [5, 9, 19, 138, 165, 182, 183, 186, 198, 199, 211, 229, 232, 260], "1e5": 5, "again": [5, 6, 9, 21, 25, 44, 50, 60, 78, 97, 98, 102, 103, 108, 113, 116, 119, 125, 130, 136, 137, 153, 162, 164, 166, 169, 172, 173, 177, 185, 198, 201, 224, 264], "187": [5, 232], "719": 5, "410": [5, 148], "815": 5, "149": 5, "802": [5, 145], "393": [5, 178], "458": [5, 145], "That": [5, 6, 17, 23, 43, 44, 45, 49, 99, 101, 102, 103, 105, 108, 116, 124, 127, 135, 142, 144, 146, 148, 150, 151, 153, 160, 165, 169, 179, 190, 191, 193, 202, 224, 225, 264], "great": [5, 49, 60, 105, 112, 113, 192, 198, 264], "pull": [5, 7, 21, 144, 174, 175], "dive": [5, 6, 11, 23, 134, 145, 158], "elabor": [5, 6, 124, 145, 162], "fly": [5, 14, 23, 51, 98, 115, 160, 229], "background": [5, 6, 23, 58, 59, 73, 113, 159, 170, 172, 179, 264], "tmp": [5, 23, 126, 130, 145, 172, 187, 219, 224, 229, 239], "torch_extens": 5, "emit": [5, 6, 98], "ninja": 5, "verbos": [5, 23, 133, 172, 178, 208, 209, 265], "complic": [5, 14, 98, 99, 103, 126, 178, 198, 206, 210, 254], "techniqu": [5, 9, 16, 17, 19, 21, 49, 60, 97, 98, 103, 107, 121, 124, 130, 131, 132, 144, 150, 154, 157, 158, 164, 172, 178, 185, 190, 194, 202, 204, 205, 229], "fine": [5, 6, 17, 19, 49, 51, 98, 113, 120, 125, 135, 136, 145, 158, 159, 169, 186, 189, 190, 202, 248], "system": [5, 6, 8, 10, 12, 14, 15, 22, 23, 25, 55, 76, 97, 121, 126, 136, 154, 159, 160, 162, 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167, 172, 178, 180, 193, 219, 230, 238, 245], "row": [5, 18, 23, 34, 40, 51, 73, 80, 99, 101, 102, 103, 116, 124, 126, 127, 146, 158, 161, 162, 177, 178, 191, 193, 206, 209, 232, 265], "arithmet": [5, 19, 144, 186], "fortun": [5, 6, 10, 15, 23, 87, 136, 137], "expos": [5, 6, 8, 22, 23, 108, 113, 121, 140, 164, 182, 198, 199, 207, 209], "foo": [5, 21, 22, 142, 143, 154, 163, 173, 175, 183, 198, 203, 210, 247, 264, 265], "12": [5, 7, 23, 42, 58, 59, 92, 101, 109, 122, 123, 145, 150, 162, 170, 174, 179, 180, 185, 191, 194, 201, 202, 205, 209, 222, 223, 226, 228, 232, 259, 264, 268], "hold": [5, 14, 16, 18, 47, 60, 63, 64, 65, 67, 68, 69, 76, 78, 87, 98, 111, 122, 123, 133, 135, 140, 153, 161, 162, 164], "foo_a": 5, "packed_accessor64": 5, "packed_accessor32": 5, "pack": [5, 49, 60, 78, 115, 145, 160, 162, 164, 194, 209, 224, 254], "integ": [5, 6, 8, 60, 97, 99, 101, 103, 113, 115, 126, 147, 157, 174, 175, 179, 185, 193, 198, 199, 200, 208, 229, 267], "fundament": [5, 49, 91, 101, 103, 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126, 132, 133, 134, 136, 224], "reinforc": [6, 14, 61, 121, 147, 160, 161, 162, 163], "game": [6, 44, 52, 79, 147], "tractabl": [6, 98], "multithread": [6, 43, 56, 109, 232], "lock": [6, 14, 25, 56, 135, 136, 162, 163, 178, 263], "gil": [6, 56, 61, 134, 217], "scalabl": [6, 126, 190, 221], "shortcom": [6, 192], "neuroevolut": 6, "owner": [6, 162, 163, 164], "anyth": [6, 13, 44, 98, 101, 102, 103, 140, 149, 159, 182, 183, 185, 264, 265], "serv": [6, 37, 57, 61, 85, 97, 102, 121, 127, 134, 140, 144, 147, 150, 156, 163, 164, 177, 178, 192, 214], "web": [6, 105, 214, 252, 264], "server": [6, 16, 25, 61, 119, 120, 121, 127, 134, 150, 156, 164, 178, 180, 186, 195, 221, 229], "3d": [6, 7, 75, 93, 101, 102, 115, 172, 198, 201], "graphic": [6, 165, 207], "photo": [6, 230], "softwar": [6, 138, 150, 156, 169, 177, 207, 214, 264], "integr": [6, 10, 14, 23, 78, 87, 109, 121, 126, 140, 170, 177, 178, 180, 200, 201, 207, 230], "remain": [6, 7, 87, 97, 119, 136, 143, 153, 157, 166, 180, 185, 192, 194, 196, 200, 210], "forth": [6, 150, 177, 265], "retain": [6, 40, 48, 76, 80, 112], "intuit": [6, 52, 73, 78, 99, 108, 112, 145, 150, 166, 172, 191], "tradit": [6, 42, 52, 97, 99, 107, 146, 163], "compet": [6, 113, 115, 119, 126, 177, 178], "complement": 6, "alik": 6, "love": [6, 113], "simplic": [6, 73, 122, 130, 160, 161, 223], "core": [6, 8, 10, 11, 42, 45, 60, 76, 98, 99, 100, 104, 108, 112, 115, 121, 124, 126, 136, 137, 145, 148, 159, 169, 174, 175, 178, 195, 197, 198, 205, 223, 247, 248], "principl": [6, 8, 102, 103, 121, 126], "curiou": [6, 139, 153, 155, 212], "tri": [6, 18, 52, 98, 103, 113, 161, 207], "experienc": [6, 85], "ask": [6, 17, 22, 23, 60, 103, 128, 137, 160, 202, 210], "rememb": [6, 44, 52, 59, 73, 76, 98, 99, 102, 109, 112, 140, 146, 147, 153, 166], "dot": [6, 14, 32, 49, 52, 60, 102, 103, 121, 146, 166, 177, 178, 206, 232], "colon": [6, 172, 264], "minim": [6, 10, 12, 17, 23, 52, 61, 63, 64, 67, 68, 69, 73, 82, 99, 103, 121, 122, 126, 133, 138, 145, 161, 173, 183, 186, 190, 200, 202, 205, 210], "verifi": [6, 20, 58, 59, 85, 108, 114, 116, 119, 131, 139, 142, 143, 146, 148, 157, 159, 177, 178, 179, 207, 221], "too": [6, 10, 14, 19, 44, 64, 68, 82, 87, 97, 98, 103, 109, 111, 124, 127, 134, 140, 150, 153, 157, 161, 162, 164, 166, 190, 229, 262, 264, 265], "cu90": 6, "url": [6, 19, 104, 118, 169, 173, 185, 209, 223, 237, 262], "wget": [6, 18, 75, 179, 182, 185, 209], "nightli": [6, 18, 75, 122, 138, 142, 173, 176, 179, 185, 188, 189, 197, 198, 200, 205, 206, 209], "dep": 6, "tini": [6, 123, 150, 153], "three": [6, 10, 12, 14, 15, 51, 52, 61, 64, 73, 82, 85, 92, 95, 98, 108, 112, 113, 115, 118, 121, 124, 128, 136, 148, 154, 156, 160, 164, 165, 166, 167, 169, 170, 176, 177, 178, 185, 193, 200, 229, 264, 265], "ey": [6, 20, 23, 32, 103, 146, 151, 154, 206, 209, 264], "fledg": 6, "visual": [6, 14, 25, 43, 52, 73, 75, 82, 83, 90, 116, 121, 122, 125, 126, 131, 144, 154, 160, 169, 170, 172, 177, 178, 187, 192, 230, 252], "studio": [6, 58, 205, 223, 225, 228], "qmake": 6, "makefil": 6, "comfort": 6, "box": [6, 8, 10, 11, 17, 73, 113, 126, 131, 136, 147, 159, 162, 169, 177, 178, 179, 200, 202, 206, 221, 226, 264], "cmake_prefix_path": [6, 22, 23], "invok": [6, 8, 22, 23, 25, 97, 134, 135, 142, 144, 145, 156, 163, 164, 178, 187, 189, 192, 200, 204], "agre": [6, 23, 138], "break": [6, 8, 10, 11, 12, 19, 38, 49, 51, 60, 75, 82, 112, 113, 116, 118, 128, 140, 147, 153, 157, 161, 162, 164, 166, 169, 173, 190, 237, 264], "unexpect": [6, 51, 192, 196, 201], "pwd": [6, 209, 227], "fa350df05ecf": 6, "home": [6, 48, 113, 190, 195, 205, 207, 210, 218, 223], "enter": [6, 49, 60, 122, 134, 136], "ran": [6, 103, 160, 163, 165, 174, 175, 205, 232], "me": [6, 17, 42, 49, 99, 153, 166, 202, 264, 265], "extens": [6, 7, 15, 22, 23, 52, 112, 121, 127, 131, 136, 172, 177, 187, 190, 192, 198, 200, 222, 252], "besid": [6, 23, 103, 154, 162, 264], "encapsul": [6, 47, 153, 162], "buffer": [6, 14, 44, 47, 59, 69, 76, 110, 111, 112, 122, 130, 134, 139, 142, 147, 151, 153, 154, 155, 157, 161, 174, 175, 178, 189, 203, 207, 209, 224], "nest": [6, 14, 43, 110, 143, 160, 162, 164, 165, 197, 264, 265], "similarli": [6, 9, 12, 22, 51, 60, 80, 83, 113, 116, 125, 126, 135, 144, 145, 146, 153, 180, 193], "w": [6, 7, 9, 12, 32, 38, 43, 47, 49, 51, 73, 76, 98, 102, 103, 122, 125, 130, 138, 147, 148, 164, 169, 179, 185, 186, 188, 223], "struct": [6, 15, 22, 209, 254], "int64_t": [6, 8, 23], "register_paramet": [6, 203], "reflect": [6, 8, 23, 48, 95, 137, 160, 196], "magic": [6, 99, 128, 136, 146], "behind": [6, 8, 17, 23, 45, 82, 97, 99, 130, 161, 180, 191, 193, 197, 202, 203, 264], "scene": [6, 23, 58, 59, 113, 203], "another_bia": 6, "recurs": [6, 16, 44, 60, 110, 203, 219], "0808": 6, "8613": 6, "2017": [6, 73, 104, 118], "5206": 6, "5353": 6, "3740": 6, "0976": 6, "4786": 6, "4928": 6, "1434": 6, "4713": 6, "1735": 6, "3293": 6, "3467": 6, "3858": 6, "1980": 6, "1986": 6, "1975": 6, "4278": 6, "1831": 6, "2709": 6, "3730": 6, "4307": 6, "3236": 6, 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160, 164, 172, 176, 178, 179, 180, 190, 215], "assembl": [1, 8, 49, 135], "collect": [1, 4, 6, 11, 14, 15, 17, 18, 19, 21, 42, 43, 44, 45, 49, 55, 60, 61, 73, 75, 79, 97, 99, 103, 121, 122, 123, 124, 134, 135, 137, 144, 147, 150, 156, 161, 164, 176, 178, 203, 232], "final": [1, 6, 9, 10, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 42, 43, 47, 49, 52, 58, 60, 73, 75, 85, 87, 97, 102, 105, 107, 108, 109, 112, 113, 117, 118, 119, 122, 123, 124, 126, 127, 128, 130, 131, 135, 136, 140, 144, 145, 146, 147, 151, 153, 155, 157, 158, 160, 161, 162, 163, 164, 166, 169, 170, 176, 177, 178, 180, 185, 186, 189, 190, 191, 194, 199, 200, 201, 202, 203, 205, 206, 210], "function": [1, 3, 4, 5, 6, 8, 9, 10, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 32, 38, 42, 43, 48, 49, 51, 53, 55, 59, 60, 61, 62, 65, 67, 68, 69, 75, 76, 79, 80, 82, 83, 89, 90, 92, 93, 94, 95, 96, 101, 102, 103, 104, 105, 107, 108, 109, 111, 112, 113, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 135, 136, 137, 139, 143, 144, 145, 147, 148, 149, 150, 153, 154, 156, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 180, 182, 186, 187, 189, 191, 192, 193, 194, 195, 196, 197, 202, 203, 204, 205, 207, 208, 210, 211, 213, 222, 223, 225, 232, 233, 234, 235, 241, 248, 251, 252, 255, 257, 259], "trainabl": [1, 6, 68, 97, 99, 158], "paramet": [1, 4, 5, 7, 9, 10, 11, 12, 14, 15, 16, 17, 19, 20, 22, 24, 25, 32, 33, 35, 37, 38, 43, 44, 47, 48, 49, 51, 52, 61, 65, 67, 68, 69, 73, 75, 85, 87, 89, 92, 94, 96, 97, 98, 99, 101, 102, 103, 104, 109, 110, 111, 115, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 132, 134, 135, 136, 137, 138, 139, 140, 142, 143, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 158, 161, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 183, 185, 191, 197, 198, 199, 203, 205, 212, 213, 214, 216, 222, 223, 230, 232, 237, 239, 243, 244, 245, 246, 247, 251, 252, 255, 256, 261, 269], "tutori": [1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 43, 44, 45, 46, 51, 52, 53, 55, 56, 58, 59, 60, 61, 73, 74, 75, 77, 79, 81, 82, 84, 86, 87, 91, 97, 98, 100, 101, 104, 105, 106, 107, 108, 112, 113, 115, 116, 117, 118, 119, 121, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 155, 156, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 176, 178, 179, 181, 182, 183, 185, 186, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 201, 202, 203, 205, 206, 207, 208, 210, 211, 213, 219, 224, 225, 230, 231, 236, 237, 239, 249, 253, 255], "guid": [1, 17, 58, 59, 61, 82, 85, 123, 136, 148, 159, 169, 174, 175, 177, 185, 198, 203, 231, 264], "ground": [1, 14, 44, 73, 179], "aim": [1, 6, 61, 75, 97, 100, 153, 161, 164, 194], "focus": [1, 3, 20, 97, 100, 150, 156, 166], "rel": [1, 5, 6, 7, 117, 119, 125, 126, 138, 146, 150, 151, 164, 166, 177, 187, 199, 223], "straightforward": [1, 5, 6, 16, 17, 49, 60, 97, 98, 145, 202], "determinist": [1, 11, 14, 137, 149, 161], "gradient": [1, 6, 7, 10, 11, 13, 14, 16, 25, 37, 42, 43, 44, 47, 49, 52, 56, 61, 63, 64, 65, 67, 68, 69, 71, 72, 78, 87, 97, 98, 99, 101, 102, 103, 104, 110, 111, 115, 117, 121, 122, 123, 124, 125, 127, 130, 131, 132, 134, 136, 142, 146, 147, 150, 153, 157, 158, 160, 161, 162, 163, 164, 170, 172, 191, 207, 218, 231, 237], "simpl": [1, 3, 4, 5, 6, 8, 12, 15, 16, 17, 19, 21, 22, 23, 24, 25, 47, 49, 51, 54, 56, 61, 67, 73, 79, 85, 87, 97, 107, 112, 116, 120, 121, 123, 125, 126, 131, 136, 139, 140, 145, 146, 151, 155, 157, 160, 162, 163, 164, 165, 167, 169, 173, 183, 186, 201, 203, 207, 209, 213, 222, 223, 230, 255, 265, 266], "continu": [1, 5, 17, 20, 21, 49, 53, 60, 73, 85, 87, 97, 102, 113, 116, 121, 124, 128, 132, 136, 143, 144, 147, 158, 160, 164, 166, 169, 177, 189, 190, 191, 193, 194, 200, 201, 202, 203, 206, 224, 255, 265], "control": [1, 4, 8, 10, 14, 21, 23, 25, 34, 43, 60, 61, 66, 83, 85, 97, 110, 111, 113, 114, 122, 125, 126, 135, 136, 142, 154, 160, 161, 162, 173, 184, 199, 210, 255], "It": [1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 42, 43, 44, 45, 47, 49, 51, 52, 60, 61, 73, 74, 75, 76, 82, 87, 95, 97, 98, 99, 100, 101, 103, 108, 112, 113, 115, 117, 122, 123, 124, 126, 127, 128, 130, 131, 132, 134, 135, 136, 137, 139, 141, 142, 144, 145, 146, 147, 150, 151, 153, 154, 155, 157, 158, 161, 162, 164, 166, 167, 168, 169, 171, 172, 174, 175, 178, 179, 180, 195, 202, 203, 204, 205, 206, 207, 210, 215, 224, 225, 226, 227, 230, 234, 263, 265], "consist": [1, 3, 6, 7, 14, 15, 16, 22, 24, 25, 43, 75, 97, 99, 118, 124, 132, 143, 144, 147, 151, 153, 160, 165, 166, 169, 174, 175, 178, 180, 193, 194, 201, 202, 210, 213, 265], "parametr": [1, 2, 17, 121, 160, 203], "action": [1, 19, 58, 59, 101, 113, 122, 123, 147, 157, 160, 161, 162, 163, 164, 169, 183, 191, 192, 193, 194, 199, 200, 206, 210, 253, 265], "pair": [1, 6, 14, 47, 49, 52, 116, 118, 128, 130, 138, 151, 155, 160, 161, 166, 169, 179, 180, 196, 201, 213, 265], "maxim": [1, 14, 52, 73, 82, 97, 99, 126, 147, 161, 173, 177, 196], "given": [1, 6, 8, 10, 12, 14, 17, 20, 21, 22, 23, 25, 32, 43, 48, 49, 51, 52, 60, 61, 73, 76, 78, 82, 85, 97, 98, 100, 101, 103, 112, 116, 122, 127, 128, 134, 136, 139, 142, 143, 146, 147, 148, 155, 157, 160, 161, 163, 164, 166, 173, 174, 175, 178, 179, 194, 197, 202, 203, 233], "certain": [1, 4, 5, 6, 10, 11, 15, 49, 55, 60, 101, 113, 120, 122, 124, 125, 130, 142, 146, 148, 160, 165, 190, 191, 194, 195, 196, 200], "what": [1, 2, 3, 5, 8, 14, 18, 19, 20, 21, 22, 23, 25, 43, 45, 46, 53, 54, 55, 58, 59, 61, 73, 78, 86, 87, 98, 99, 101, 102, 103, 114, 121, 124, 125, 126, 128, 132, 133, 136, 137, 143, 147, 151, 153, 157, 160, 161, 162, 165, 170, 172, 174, 179, 188, 189, 193, 197, 199, 202, 224, 228, 234, 237, 251, 255, 259, 265], "write": [1, 4, 8, 9, 10, 21, 22, 23, 44, 49, 58, 59, 60, 61, 64, 75, 98, 99, 100, 101, 104, 116, 117, 121, 125, 126, 131, 132, 134, 137, 138, 140, 142, 143, 145, 147, 148, 150, 151, 154, 156, 160, 163, 164, 166, 169, 172, 173, 186, 190, 194, 198, 199, 200, 207, 208, 210, 225, 226, 227, 234, 260, 265], "custom": [1, 4, 6, 8, 11, 17, 49, 52, 64, 65, 66, 79, 90, 109, 111, 121, 126, 137, 147, 160, 163, 172, 173, 178, 180, 184, 190, 197, 199, 201, 202, 203, 204, 206, 222, 237], "its": [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 25, 43, 47, 49, 51, 52, 53, 55, 60, 61, 68, 69, 73, 75, 80, 82, 95, 97, 99, 101, 102, 103, 105, 107, 109, 111, 112, 113, 115, 122, 123, 124, 125, 126, 127, 128, 136, 137, 138, 139, 140, 142, 144, 145, 147, 148, 150, 153, 154, 157, 160, 161, 162, 163, 164, 166, 169, 170, 173, 174, 175, 176, 177, 185, 190, 193, 194, 195, 199, 202, 203, 204, 206, 208, 210, 211, 220, 222, 224, 230, 265], "includ": [1, 2, 3, 4, 5, 6, 8, 14, 15, 16, 22, 23, 24, 25, 42, 48, 49, 53, 55, 58, 59, 60, 61, 69, 73, 75, 82, 85, 87, 97, 98, 105, 107, 109, 113, 115, 124, 126, 127, 128, 131, 132, 134, 136, 137, 145, 147, 148, 156, 157, 160, 163, 166, 169, 170, 173, 174, 175, 176, 177, 178, 179, 183, 185, 190, 191, 193, 196, 201, 202, 206, 208, 210, 222, 224, 226, 227, 230, 233, 240, 259, 263, 265], "design": [1, 5, 6, 14, 17, 24, 25, 52, 56, 61, 73, 85, 103, 128, 134, 137, 160, 161, 162, 164, 165, 169, 170, 178, 180, 191, 192, 193, 197, 199, 202, 203, 207], "effici": [1, 5, 7, 10, 12, 15, 17, 20, 23, 25, 42, 49, 51, 73, 82, 95, 97, 101, 103, 115, 119, 122, 123, 124, 126, 127, 136, 137, 146, 151, 157, 160, 164, 165, 169, 172, 176, 178, 187, 189, 194, 195, 196, 203, 206], "store": [1, 4, 5, 6, 16, 17, 19, 20, 22, 23, 40, 43, 48, 51, 53, 60, 68, 87, 95, 98, 99, 101, 103, 105, 111, 125, 126, 128, 136, 137, 142, 144, 145, 147, 148, 154, 156, 157, 160, 161, 162, 163, 164, 166, 183, 185, 194, 199, 200, 203, 206, 255, 257], "trajectori": [1, 14, 61, 137, 160], "transit": [1, 14, 60, 85, 86, 98, 137, 161, 202], "assum": [1, 2, 4, 6, 8, 10, 12, 14, 15, 19, 21, 22, 43, 44, 51, 54, 60, 73, 97, 98, 100, 102, 116, 124, 125, 127, 128, 136, 137, 140, 154, 157, 160, 163, 165, 166, 174, 175, 176, 179, 193, 194, 195, 201, 202, 225], "complet": [1, 4, 5, 6, 15, 21, 25, 49, 76, 78, 85, 87, 98, 99, 101, 113, 117, 119, 122, 124, 126, 131, 136, 157, 158, 159, 160, 161, 163, 166, 172, 173, 178, 179, 185, 193, 194, 227, 230, 255], "ppo": [1, 121], "compon": [1, 5, 6, 8, 10, 14, 20, 25, 52, 61, 85, 97, 101, 112, 113, 115, 119, 121, 126, 137, 143, 147, 160, 164, 167, 169, 173, 174, 175, 178, 195], "depend": [1, 5, 6, 7, 8, 11, 14, 21, 22, 23, 42, 47, 50, 52, 60, 73, 82, 85, 97, 98, 102, 110, 118, 119, 121, 124, 126, 130, 131, 136, 137, 138, 140, 142, 143, 144, 146, 147, 150, 156, 159, 160, 163, 169, 173, 174, 175, 182, 183, 184, 185, 190, 193, 198, 199, 200, 206, 208, 210, 224, 226, 227, 234, 255], "tensordict": [1, 14, 137, 147, 160], "nn": [1, 2, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 32, 37, 38, 39, 42, 43, 44, 45, 47, 49, 52, 55, 60, 65, 66, 69, 73, 75, 77, 79, 87, 89, 90, 92, 94, 96, 97, 98, 99, 102, 103, 105, 107, 108, 109, 110, 115, 117, 118, 119, 121, 122, 123, 124, 125, 127, 128, 129, 130, 134, 135, 137, 138, 139, 142, 143, 144, 146, 147, 148, 149, 150, 151, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 178, 180, 182, 183, 184, 186, 192, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 211, 212, 213, 214, 216, 217, 220, 221, 222, 223, 225, 228, 230, 232, 234, 235, 236, 237, 240, 241, 243, 244, 245, 247, 249, 250, 251, 252, 253, 254, 255, 256, 259, 261], "tensordictmodul": [1, 14, 137, 160], "although": [1, 12, 16, 43, 49, 60, 61, 98, 99, 103, 105, 108, 115, 119, 125, 147, 150, 154, 158, 163, 173, 174, 175, 177, 183, 205, 265], "suffici": [1, 6, 49, 52, 97, 98, 117, 132, 134, 153], "transpar": [1, 12, 42, 99, 137, 163, 208, 222], "understood": [1, 4, 113], "without": [1, 4, 5, 6, 8, 9, 10, 14, 17, 20, 23, 32, 42, 49, 53, 55, 60, 73, 78, 97, 98, 107, 112, 113, 116, 123, 124, 125, 128, 130, 136, 138, 139, 142, 144, 146, 147, 148, 153, 155, 156, 157, 158, 159, 160, 161, 162, 165, 166, 169, 172, 177, 178, 191, 193, 194, 195, 196, 201, 202, 203, 205, 210, 211, 213, 222, 229, 230, 255, 263, 265], "understand": [1, 2, 4, 6, 15, 23, 43, 44, 52, 57, 58, 59, 82, 85, 91, 98, 99, 101, 108, 117, 121, 125, 126, 127, 128, 131, 136, 138, 142, 144, 145, 150, 158, 166, 172, 174, 175, 177, 192, 197, 201, 202, 210, 251], "class": [1, 2, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 16, 19, 20, 21, 23, 24, 25, 33, 34, 37, 38, 42, 44, 45, 47, 49, 52, 53, 58, 59, 60, 64, 65, 67, 73, 75, 76, 78, 79, 83, 85, 87, 89, 90, 92, 93, 94, 96, 98, 99, 100, 102, 103, 104, 105, 108, 109, 110, 111, 112, 115, 117, 118, 119, 121, 122, 123, 125, 126, 127, 128, 129, 130, 131, 132, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 147, 148, 149, 150, 151, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 191, 192, 193, 195, 196, 197, 199, 200, 201, 202, 204, 205, 210, 211, 214, 215, 216, 217, 218, 220, 221, 223, 225, 228, 235, 236, 239, 241, 242, 243, 244, 245, 246, 250, 251, 252, 254, 255, 264, 265, 266], "sota": [1, 75, 113, 119], "implement": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 17, 20, 24, 42, 43, 45, 47, 49, 51, 55, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 76, 79, 85, 103, 108, 111, 115, 120, 121, 124, 125, 126, 127, 131, 134, 135, 136, 137, 139, 140, 142, 145, 146, 147, 148, 150, 151, 155, 157, 160, 161, 164, 169, 174, 175, 179, 180, 187, 192, 194, 195, 196, 198, 199, 202, 203, 206, 208, 209, 210, 222, 224, 226, 233, 264], "rather": [1, 13, 23, 25, 49, 52, 69, 73, 85, 97, 103, 112, 121, 128, 130, 144, 145, 150, 154, 155, 160, 172, 185, 190, 191, 225], "high": [1, 2, 5, 6, 14, 15, 19, 23, 25, 42, 44, 49, 52, 53, 55, 57, 60, 82, 85, 99, 103, 105, 109, 112, 121, 122, 123, 124, 126, 127, 130, 136, 140, 147, 150, 160, 169, 170, 172, 177, 178, 187, 194, 197, 198, 199, 201, 255, 263], "level": [1, 2, 5, 6, 17, 19, 20, 23, 25, 44, 49, 53, 55, 57, 68, 79, 100, 105, 115, 122, 123, 124, 126, 127, 128, 132, 134, 136, 138, 142, 143, 144, 145, 148, 150, 165, 166, 169, 172, 174, 175, 177, 178, 183, 186, 197, 198, 199, 201, 203, 211, 225, 229, 269], "illustr": [1, 19, 44, 47, 56, 116, 117, 124, 125, 126, 139, 161, 170, 172, 179, 193, 194, 197], "librari": [1, 3, 4, 5, 6, 8, 12, 14, 18, 20, 22, 23, 25, 42, 44, 50, 51, 57, 61, 75, 87, 107, 108, 113, 115, 118, 121, 126, 130, 131, 138, 140, 144, 156, 159, 160, 164, 169, 174, 175, 178, 196, 206, 208, 221, 222, 224, 225, 228, 229, 230, 251, 253], "featur": [1, 4, 6, 10, 11, 12, 14, 17, 19, 22, 23, 34, 49, 50, 51, 52, 58, 59, 60, 61, 82, 83, 85, 90, 94, 95, 97, 98, 103, 108, 113, 121, 123, 125, 137, 138, 145, 146, 147, 150, 153, 156, 159, 160, 164, 165, 170, 173, 174, 175, 176, 177, 178, 179, 186, 187, 189, 190, 194, 195, 198, 201, 203, 206, 207, 208, 210, 253, 255], "context": [1, 2, 5, 8, 14, 16, 17, 43, 49, 60, 61, 64, 73, 103, 109, 111, 120, 124, 135, 142, 154, 160, 163, 164, 165, 166, 169, 178, 187, 201, 203, 208, 210, 214, 234], "bash": [1, 18, 20, 147, 161, 228], "pip3": [1, 18, 50, 122, 137, 160, 161, 169, 176, 185, 189, 190], "mujoco": [1, 137, 160], "glfw": 1, "tqdm": [1, 14, 17, 122, 137, 138, 160, 186, 203], "avail": [1, 2, 3, 5, 6, 10, 12, 14, 15, 17, 18, 19, 20, 21, 22, 23, 40, 42, 43, 44, 48, 50, 51, 52, 53, 58, 59, 73, 80, 87, 97, 101, 105, 113, 115, 119, 122, 125, 136, 137, 140, 142, 147, 148, 157, 158, 159, 160, 161, 164, 165, 166, 169, 172, 176, 177, 178, 179, 182, 183, 189, 190, 198, 199, 200, 201, 203, 207, 222, 224, 225, 226, 227, 229, 230, 234, 263], "is_fork": [1, 137, 160], "multiprocess": [1, 6, 7, 11, 14, 34, 51, 53, 55, 56, 110, 122, 123, 134, 135, 136, 137, 160, 163, 164, 214, 216, 261], "get_start_method": [1, 137, 160], "fork": [1, 21, 137, 160, 161], "is_avail": [1, 5, 6, 12, 20, 33, 38, 40, 42, 44, 45, 48, 49, 52, 63, 73, 80, 87, 89, 95, 97, 104, 110, 111, 115, 117, 118, 130, 137, 147, 148, 156, 157, 158, 160, 161, 163, 165, 166, 167, 173, 179, 195, 232], "els": [1, 4, 5, 8, 9, 11, 12, 14, 16, 17, 18, 19, 20, 23, 25, 33, 38, 42, 44, 45, 47, 49, 51, 52, 58, 59, 60, 63, 73, 87, 94, 95, 96, 97, 103, 104, 105, 108, 110, 111, 115, 116, 117, 118, 122, 127, 128, 130, 135, 136, 137, 138, 143, 147, 148, 151, 156, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 179, 182, 183, 186, 187, 195, 197, 199, 200, 203, 210, 211, 214, 217, 218, 220, 224, 232, 233, 246, 248, 254, 255, 257, 258, 261, 265, 266], "cpu": [1, 3, 5, 6, 8, 9, 10, 11, 12, 14, 15, 18, 19, 20, 23, 33, 38, 42, 43, 44, 45, 48, 49, 52, 60, 63, 64, 72, 73, 80, 82, 83, 87, 89, 90, 95, 97, 99, 104, 105, 108, 109, 110, 111, 115, 117, 118, 121, 123, 124, 130, 134, 135, 136, 137, 138, 147, 148, 151, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 176, 179, 182, 183, 186, 187, 189, 190, 195, 196, 197, 199, 200, 201, 204, 208, 209, 214, 218, 221, 225, 228, 231, 232, 234, 236, 239, 240, 242, 246, 253, 255, 256], "collector_devic": 1, "chang": [1, 2, 5, 6, 10, 11, 12, 14, 19, 21, 22, 23, 24, 40, 43, 48, 50, 51, 52, 53, 55, 58, 59, 61, 76, 78, 79, 80, 82, 83, 85, 87, 95, 97, 98, 100, 101, 102, 105, 108, 112, 116, 121, 123, 124, 126, 132, 133, 136, 137, 138, 140, 142, 145, 146, 147, 150, 153, 154, 156, 157, 158, 162, 169, 172, 173, 174, 175, 178, 182, 183, 185, 187, 189, 190, 193, 195, 199, 200, 202, 206, 208, 210, 213, 222, 224, 237, 255, 263], "seri": [1, 6, 15, 23, 52, 53, 54, 55, 56, 82, 91, 120, 121, 127, 128, 132, 133, 140, 144, 157, 160, 193], "reusabl": [1, 6, 25], "swappabl": 1, "signatur": [1, 5, 8, 10, 14, 15, 23, 108, 136, 154, 163, 174, 175, 255], "characterist": [1, 14, 43, 144, 146, 147, 159, 165], "copi": [1, 5, 6, 12, 18, 22, 23, 44, 45, 50, 55, 58, 61, 73, 82, 97, 109, 110, 112, 114, 117, 123, 125, 130, 134, 136, 137, 138, 139, 142, 143, 144, 147, 150, 154, 158, 163, 169, 172, 182, 183, 184, 190, 196, 200, 201, 206, 208, 210, 220, 221, 236, 266], "loss_modul": [1, 160], "whatev": [1, 8, 22, 23, 99, 101, 112, 197], "convent": [1, 14, 52, 60, 112, 126, 137, 172], "receiv": [1, 4, 6, 14, 16, 55, 64, 87, 101, 111, 136, 160, 162, 163, 164, 173], "necessari": [1, 4, 5, 6, 7, 8, 10, 12, 15, 16, 18, 19, 23, 24, 44, 52, 53, 55, 60, 85, 87, 98, 112, 113, 122, 123, 124, 130, 134, 147, 150, 160, 162, 163, 164, 169, 174, 175, 178, 180, 183, 186, 193, 195, 197, 199, 200, 201, 251], "return": [1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 33, 34, 37, 38, 40, 44, 45, 47, 49, 51, 52, 59, 60, 64, 65, 67, 68, 73, 75, 78, 79, 80, 82, 85, 87, 89, 90, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 104, 105, 108, 109, 110, 111, 112, 113, 115, 116, 117, 118, 122, 123, 124, 126, 127, 128, 129, 130, 131, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 191, 193, 195, 196, 197, 199, 200, 201, 202, 203, 205, 207, 208, 210, 211, 212, 214, 215, 216, 217, 220, 221, 222, 223, 224, 225, 228, 232, 233, 235, 236, 239, 241, 242, 243, 244, 245, 246, 248, 249, 250, 251, 252, 254, 255, 257, 258, 259], "replay_buff": [1, 160], "sampl": [1, 6, 8, 44, 47, 48, 49, 51, 52, 55, 60, 61, 75, 78, 79, 87, 92, 97, 99, 105, 110, 115, 116, 117, 118, 121, 123, 127, 130, 136, 137, 138, 140, 146, 147, 153, 154, 158, 160, 161, 162, 164, 172, 174, 175, 179, 183, 186, 195, 196, 199, 201, 207, 211, 227, 228, 265], "loss_dict": 1, "instanc": [1, 4, 5, 6, 7, 11, 12, 14, 21, 22, 23, 25, 45, 53, 54, 55, 58, 59, 60, 78, 82, 87, 97, 98, 99, 102, 103, 122, 123, 125, 126, 132, 133, 134, 135, 137, 145, 147, 158, 160, 162, 163, 164, 166, 173, 183, 184, 199, 201, 202, 204, 222, 255, 260], "written": [1, 4, 5, 6, 8, 10, 14, 22, 23, 25, 85, 100, 131, 137, 144, 151, 154, 155, 158, 165, 169, 172, 185, 191, 222], "under": [1, 4, 5, 8, 14, 18, 19, 23, 47, 49, 50, 52, 54, 56, 97, 99, 109, 113, 115, 124, 125, 136, 138, 140, 146, 147, 154, 157, 164, 169, 170, 178, 179, 180, 189, 190, 192, 194, 206, 224, 227, 265], "loss_": 1, "smth": 1, "where": [1, 3, 4, 6, 7, 8, 11, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 32, 47, 49, 51, 60, 61, 64, 68, 75, 78, 79, 83, 85, 87, 97, 98, 99, 101, 102, 103, 110, 113, 122, 124, 126, 127, 128, 131, 133, 134, 135, 136, 138, 139, 140, 142, 145, 148, 150, 151, 153, 154, 155, 159, 160, 161, 162, 163, 164, 165, 166, 170, 173, 175, 176, 178, 179, 180, 183, 185, 189, 191, 194, 195, 196, 197, 202, 203, 206, 210, 228, 230, 266], "string": [1, 8, 15, 22, 23, 49, 51, 58, 59, 60, 65, 67, 105, 111, 115, 116, 118, 126, 127, 128, 137, 140, 157, 160, 166, 172, 183, 210, 211, 260, 263], "describ": [1, 4, 5, 6, 8, 10, 14, 15, 16, 19, 20, 21, 22, 23, 48, 49, 52, 58, 59, 61, 73, 97, 105, 114, 120, 136, 151, 160, 161, 164, 169, 172, 174, 175, 177, 198, 199, 200, 204, 255], "addit": [1, 2, 5, 7, 8, 11, 15, 17, 19, 50, 60, 73, 75, 97, 102, 105, 108, 109, 113, 122, 124, 125, 134, 136, 138, 139, 140, 143, 145, 148, 150, 157, 162, 163, 166, 170, 173, 174, 175, 177, 186, 191, 192, 193, 194, 199, 202, 203, 208, 210, 220, 222], "kei": [1, 6, 8, 11, 14, 15, 17, 49, 58, 75, 82, 90, 100, 103, 105, 109, 112, 114, 115, 116, 119, 122, 126, 137, 138, 140, 144, 147, 157, 159, 160, 161, 162, 165, 166, 169, 170, 172, 174, 175, 176, 178, 186, 195, 196, 197, 203, 211, 213, 222, 239, 257, 265], "mai": [1, 4, 5, 6, 8, 10, 11, 12, 14, 15, 17, 19, 21, 22, 23, 25, 42, 49, 50, 52, 58, 59, 60, 68, 73, 85, 95, 99, 112, 113, 116, 123, 124, 125, 126, 130, 131, 137, 138, 139, 140, 142, 144, 145, 146, 151, 153, 154, 159, 160, 163, 166, 169, 172, 173, 174, 175, 177, 178, 180, 182, 183, 186, 190, 193, 195, 199, 200, 201, 202, 203, 204, 210, 220, 230, 233, 255, 265, 266], "metric": [1, 17, 87, 97, 109, 122, 138, 147, 169, 172, 178, 179, 203, 223], "log": [1, 7, 14, 18, 49, 50, 52, 53, 58, 73, 97, 98, 99, 102, 103, 104, 118, 123, 126, 130, 133, 138, 149, 159, 160, 162, 164, 167, 169, 170, 172, 174, 175, 178, 186, 197, 210, 213, 258], "dure": [1, 3, 7, 8, 12, 14, 16, 18, 19, 25, 32, 37, 49, 52, 60, 61, 63, 64, 76, 78, 85, 97, 99, 103, 108, 111, 112, 113, 118, 121, 122, 123, 124, 125, 128, 130, 131, 132, 134, 137, 143, 144, 145, 150, 151, 154, 158, 159, 160, 161, 162, 164, 169, 173, 177, 178, 179, 186, 198, 200, 204, 208, 222, 225, 226, 227, 230, 255], "reason": [1, 5, 6, 8, 14, 15, 17, 23, 25, 52, 78, 82, 97, 99, 102, 112, 117, 125, 130, 136, 145, 150, 158, 160, 165, 166, 185, 193, 203, 225, 255], "independ": [1, 7, 23, 49, 60, 79, 103, 108, 110, 146, 147, 151, 163, 191], "user": [1, 3, 5, 14, 17, 18, 19, 22, 24, 25, 44, 49, 50, 60, 76, 79, 82, 83, 85, 97, 101, 108, 110, 113, 114, 115, 122, 124, 128, 134, 138, 140, 143, 144, 145, 148, 162, 164, 165, 166, 167, 169, 172, 174, 175, 176, 177, 178, 179, 180, 183, 186, 189, 191, 192, 193, 194, 197, 198, 199, 200, 201, 202, 203, 206, 209, 222, 230, 265, 266], "sum": [1, 2, 4, 5, 7, 11, 13, 14, 16, 18, 19, 21, 25, 37, 38, 40, 43, 44, 49, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 76, 78, 82, 87, 89, 92, 97, 98, 99, 101, 103, 104, 109, 111, 115, 117, 122, 123, 125, 127, 128, 129, 130, 131, 136, 137, 146, 147, 151, 153, 154, 157, 158, 160, 161, 162, 163, 164, 167, 169, 173, 174, 175, 176, 183, 191, 192, 193, 194, 199, 200, 212, 213, 214, 216, 223, 233, 255, 261], "done": [1, 4, 5, 6, 8, 10, 14, 16, 17, 19, 20, 21, 22, 23, 25, 37, 38, 49, 54, 58, 59, 82, 85, 97, 98, 99, 108, 113, 115, 122, 123, 124, 125, 128, 130, 136, 137, 139, 144, 145, 147, 148, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 170, 172, 174, 175, 185, 186, 196, 203, 204, 210, 222, 225, 259], "via": [1, 3, 5, 6, 7, 16, 17, 18, 20, 22, 23, 54, 55, 58, 59, 73, 85, 97, 121, 122, 123, 124, 126, 136, 137, 140, 146, 154, 159, 160, 165, 170, 172, 173, 177, 178, 179, 190, 193, 203, 222, 263, 269], "loss_val": [1, 137, 160], "item": [1, 2, 6, 7, 9, 10, 11, 12, 14, 15, 34, 37, 38, 40, 44, 49, 52, 60, 63, 64, 65, 67, 68, 69, 72, 73, 87, 90, 92, 94, 95, 96, 97, 98, 101, 103, 104, 109, 111, 112, 114, 115, 117, 118, 119, 122, 123, 127, 128, 130, 136, 137, 138, 140, 142, 144, 147, 148, 158, 159, 160, 161, 162, 163, 164, 166, 167, 170, 172, 179, 180, 182, 195, 211, 215, 220, 223, 232, 236, 249, 252, 264, 266], "startswith": [1, 83, 148, 166, 248], "parent": [1, 14, 104, 115, 143, 147, 184, 186], "As": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 19, 20, 21, 22, 23, 25, 43, 49, 50, 52, 58, 59, 60, 61, 73, 85, 87, 97, 103, 105, 108, 112, 116, 118, 122, 123, 124, 125, 126, 127, 134, 136, 137, 138, 142, 143, 144, 145, 146, 147, 150, 153, 154, 157, 158, 160, 161, 162, 163, 164, 165, 169, 172, 175, 176, 177, 178, 179, 180, 183, 185, 186, 189, 190, 194, 195, 197, 199, 202, 206, 210, 224], "mani": [1, 2, 4, 5, 6, 10, 14, 15, 17, 18, 23, 25, 49, 51, 52, 60, 61, 65, 69, 73, 82, 97, 99, 100, 101, 104, 105, 107, 111, 113, 122, 124, 126, 127, 130, 136, 138, 139, 146, 148, 150, 151, 155, 158, 160, 162, 163, 166, 174, 175, 177, 178, 193, 196, 203, 206, 207, 222, 255, 263, 265, 266], "expect": [1, 4, 5, 6, 10, 11, 14, 20, 22, 23, 32, 45, 47, 49, 51, 58, 59, 60, 61, 73, 85, 87, 97, 101, 102, 103, 112, 113, 117, 119, 126, 130, 134, 135, 137, 146, 147, 153, 154, 157, 159, 160, 161, 162, 163, 165, 172, 173, 174, 175, 177, 179, 180, 183, 189, 190, 196, 197, 199, 201, 202, 206, 207, 222, 225], "similar": [1, 3, 5, 8, 10, 11, 14, 15, 19, 22, 23, 48, 49, 58, 59, 61, 82, 83, 97, 98, 103, 108, 116, 124, 131, 135, 136, 137, 140, 144, 150, 154, 160, 162, 163, 164, 165, 166, 169, 170, 172, 177, 179, 180, 183, 186, 191, 192, 193, 194, 195, 200, 201, 220], "structur": [1, 4, 5, 6, 8, 9, 14, 18, 19, 20, 21, 22, 23, 33, 48, 49, 52, 53, 60, 61, 78, 85, 97, 98, 102, 105, 110, 112, 121, 132, 137, 139, 144, 147, 148, 150, 154, 155, 157, 160, 164, 170, 172, 173, 179, 194, 196, 198, 199, 207, 210, 263, 265, 269], "make": [1, 4, 5, 6, 8, 10, 12, 14, 18, 19, 22, 23, 43, 44, 45, 47, 49, 50, 51, 53, 54, 55, 57, 58, 59, 60, 61, 68, 69, 73, 87, 97, 99, 100, 101, 102, 103, 108, 111, 112, 113, 114, 115, 117, 118, 121, 122, 123, 124, 126, 127, 128, 130, 134, 136, 137, 138, 140, 143, 144, 145, 146, 147, 150, 153, 154, 156, 157, 158, 160, 161, 162, 163, 164, 165, 166, 170, 172, 173, 174, 175, 177, 179, 183, 185, 186, 190, 191, 192, 193, 194, 195, 196, 197, 199, 202, 207, 215, 220, 222, 225, 229, 230, 255, 259, 265, 267], "possibl": [1, 2, 4, 5, 6, 8, 10, 14, 15, 17, 22, 23, 52, 60, 61, 75, 98, 101, 108, 119, 125, 130, 131, 137, 139, 142, 144, 146, 147, 150, 158, 159, 160, 162, 163, 166, 179, 183, 186, 189, 195, 199, 200, 201, 202, 203, 204, 206, 222, 225, 255, 265], "across": [1, 5, 7, 8, 9, 11, 14, 16, 18, 20, 24, 49, 52, 54, 55, 56, 61, 82, 97, 105, 115, 120, 122, 123, 124, 132, 133, 134, 135, 136, 139, 147, 150, 157, 163, 164, 176, 177, 182, 213, 237, 263], "modal": [1, 60], "complex": [1, 6, 23, 25, 50, 61, 67, 68, 97, 105, 112, 120, 123, 134, 151, 154, 162, 164, 170, 195, 205, 211], "multipl": [1, 5, 8, 10, 11, 14, 16, 17, 18, 19, 20, 23, 40, 45, 48, 49, 53, 54, 55, 56, 61, 65, 78, 79, 81, 82, 87, 97, 101, 110, 120, 123, 124, 125, 126, 127, 128, 134, 135, 136, 139, 140, 144, 145, 147, 150, 159, 160, 162, 163, 164, 166, 169, 170, 172, 174, 175, 176, 177, 178, 183, 185, 195, 201, 202, 203, 237, 252, 265, 266], "entri": [1, 4, 11, 14, 23, 53, 75, 98, 101, 103, 109, 110, 112, 115, 132, 137, 144, 145, 157, 160, 162, 165, 169, 174, 175, 193, 194, 195, 197], "word": [1, 6, 7, 10, 11, 14, 42, 44, 49, 60, 73, 79, 82, 97, 98, 100, 102, 112, 115, 116, 118, 121, 127, 128, 136, 138, 144, 153, 154, 157, 164, 166, 177, 182, 192, 194, 195, 197, 201, 265], "oblivi": [1, 160], "type": [1, 4, 5, 6, 8, 9, 10, 14, 18, 19, 20, 21, 22, 23, 37, 38, 40, 42, 48, 49, 50, 51, 52, 60, 61, 73, 78, 80, 82, 85, 95, 101, 105, 108, 113, 118, 120, 122, 123, 124, 126, 135, 138, 139, 140, 143, 144, 145, 148, 149, 155, 156, 157, 160, 162, 163, 164, 165, 169, 172, 173, 174, 175, 176, 178, 180, 182, 186, 189, 191, 196, 199, 201, 202, 204, 206, 210, 211, 215, 218, 222, 223, 224, 225, 230, 246, 260, 265], "being": [1, 3, 4, 5, 6, 10, 12, 14, 17, 20, 21, 23, 42, 47, 49, 52, 58, 59, 60, 76, 80, 82, 97, 98, 99, 101, 103, 105, 110, 113, 117, 122, 124, 126, 130, 136, 137, 143, 154, 157, 160, 161, 163, 178, 186, 190, 192, 193, 195, 197, 201, 203, 204, 222], "run": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 21, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 51, 52, 56, 57, 61, 63, 64, 65, 67, 68, 69, 71, 72, 75, 76, 78, 79, 80, 82, 87, 89, 90, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 111, 112, 113, 114, 116, 117, 118, 119, 121, 122, 123, 124, 125, 128, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 173, 174, 176, 177, 178, 179, 182, 183, 184, 185, 187, 189, 190, 191, 192, 193, 194, 195, 197, 198, 199, 200, 201, 202, 203, 205, 206, 207, 208, 210, 211, 215, 220, 222, 224, 225, 227, 229, 230, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 255, 257, 258, 265], "elementari": [1, 2], "those": [1, 4, 5, 6, 10, 11, 14, 17, 42, 43, 61, 79, 87, 98, 103, 113, 115, 116, 124, 125, 127, 136, 139, 144, 153, 154, 156, 157, 164, 166, 170, 172, 174, 175, 178, 183, 185, 190, 192, 203, 204, 206, 207, 208, 225, 265], "keep": [1, 6, 7, 10, 11, 14, 23, 43, 49, 51, 52, 60, 61, 73, 82, 85, 95, 97, 99, 101, 102, 108, 112, 116, 119, 121, 122, 123, 124, 125, 127, 128, 133, 134, 137, 143, 145, 151, 158, 160, 164, 166, 178, 182, 183, 199, 210, 220], "didact": [1, 136], "displai": [1, 2, 5, 6, 12, 14, 34, 44, 52, 58, 75, 108, 109, 117, 130, 140, 158, 161, 166, 169, 260, 263], "each": [1, 2, 5, 6, 7, 8, 10, 11, 12, 14, 16, 17, 18, 19, 21, 23, 24, 25, 34, 43, 44, 45, 48, 49, 51, 52, 53, 55, 56, 58, 59, 60, 61, 65, 68, 73, 75, 76, 79, 82, 83, 85, 87, 97, 98, 99, 102, 103, 107, 108, 109, 111, 112, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 126, 127, 128, 131, 132, 133, 134, 135, 136, 137, 139, 142, 143, 144, 146, 147, 148, 150, 151, 153, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 174, 175, 176, 177, 178, 179, 186, 187, 191, 194, 195, 197, 199, 200, 202, 203, 210, 211, 213, 222, 233, 255, 263, 265], "popul": [1, 14, 22, 43, 49, 58, 59, 87, 122, 137, 147, 160, 162, 213], "later": [1, 3, 4, 5, 6, 11, 23, 47, 49, 52, 60, 73, 78, 87, 97, 101, 102, 112, 113, 123, 124, 127, 128, 130, 131, 135, 136, 139, 142, 143, 144, 145, 146, 147, 151, 155, 160, 161, 164, 165, 166, 170, 172, 174, 175, 183, 191, 199, 200, 213, 225, 230, 234], "stage": [1, 7, 14, 16, 149, 187, 190, 208], "start": [1, 4, 5, 6, 9, 11, 14, 16, 17, 18, 19, 23, 24, 25, 43, 44, 49, 50, 52, 53, 54, 55, 59, 60, 61, 73, 87, 97, 98, 100, 101, 105, 113, 116, 120, 121, 122, 124, 125, 126, 127, 128, 130, 135, 136, 138, 140, 144, 145, 146, 147, 149, 150, 153, 154, 158, 159, 161, 162, 163, 166, 169, 170, 172, 173, 174, 177, 178, 179, 183, 185, 186, 189, 193, 197, 199, 200, 201, 202, 203, 205, 210, 225, 241, 254, 266], "solv": [1, 6, 14, 49, 51, 97, 103, 117, 118, 150, 154, 158, 160, 162, 164, 177, 193], "task": [1, 6, 7, 13, 14, 17, 21, 24, 49, 58, 59, 60, 75, 97, 98, 103, 109, 113, 116, 117, 118, 119, 120, 121, 123, 137, 138, 154, 158, 160, 161, 166, 167, 172, 179, 186, 203, 206, 210], "strategi": [1, 5, 17, 18, 24, 52, 82, 113, 121, 128, 136, 145, 146, 150, 155, 162, 163, 203], "predict": [1, 9, 17, 19, 20, 33, 37, 38, 43, 44, 49, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 87, 89, 90, 92, 97, 98, 102, 103, 104, 111, 113, 115, 116, 118, 121, 124, 126, 127, 128, 138, 139, 146, 147, 150, 155, 161, 166, 170, 179, 182, 183, 199, 200, 203, 215, 221, 259, 260], "henc": [1, 14, 17, 43, 48, 61, 78, 80, 82, 113, 123, 125, 134, 135, 148, 150, 151, 156, 160, 162, 164, 177, 203, 222], "two": [1, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25, 40, 42, 43, 48, 49, 50, 52, 57, 58, 59, 60, 73, 75, 83, 85, 87, 92, 95, 97, 98, 99, 101, 102, 103, 105, 107, 108, 109, 116, 117, 119, 122, 123, 126, 127, 130, 131, 133, 134, 135, 136, 137, 140, 142, 144, 145, 146, 147, 148, 150, 151, 154, 155, 156, 157, 158, 160, 161, 162, 164, 165, 166, 172, 176, 177, 178, 179, 180, 184, 185, 187, 192, 194, 195, 197, 199, 200, 201, 202, 203, 204, 205, 226, 227, 231, 255, 265, 266, 270], "constructor": [1, 6, 10, 11, 12, 21, 22, 23, 25, 60, 65, 67, 69, 78, 85, 111, 116, 122, 123, 134, 135, 144, 156, 157, 160, 162, 164, 194, 204, 255], "both": [1, 2, 4, 5, 6, 7, 8, 10, 11, 12, 14, 16, 19, 20, 21, 22, 23, 24, 25, 42, 49, 51, 52, 58, 59, 60, 61, 73, 82, 85, 97, 103, 109, 113, 116, 118, 122, 124, 126, 127, 130, 133, 134, 135, 136, 142, 143, 145, 146, 148, 150, 151, 157, 158, 160, 162, 163, 164, 165, 166, 174, 175, 176, 177, 178, 179, 180, 183, 185, 186, 187, 191, 194, 196, 197, 199, 201, 202, 211, 222, 225, 230, 233, 263, 265], "compat": [1, 4, 5, 6, 8, 11, 17, 50, 60, 94, 95, 101, 137, 148, 165, 174, 175, 183, 189, 204, 206, 224], "comput": [1, 3, 5, 6, 8, 11, 12, 13, 16, 17, 19, 20, 21, 23, 24, 25, 32, 37, 38, 40, 44, 47, 48, 49, 52, 53, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 83, 85, 95, 97, 98, 99, 100, 102, 105, 107, 110, 111, 115, 117, 119, 120, 121, 122, 123, 124, 125, 126, 130, 131, 132, 133, 134, 136, 137, 138, 140, 142, 143, 144, 145, 147, 149, 150, 153, 154, 155, 157, 159, 160, 161, 163, 165, 166, 169, 172, 173, 174, 175, 177, 178, 179, 183, 185, 189, 190, 195, 196, 197, 198, 199, 200, 201, 203, 204, 207, 208, 210, 213, 221, 225, 230, 233, 265], "fit": [1, 6, 7, 9, 10, 11, 12, 20, 24, 61, 87, 103, 122, 123, 124, 134, 149, 150, 164, 182, 265], "crucial": [1, 2, 12, 14, 23, 82, 101, 137, 160, 225], "convert_to_funct": 1, "extract": [1, 5, 20, 49, 52, 58, 59, 73, 97, 116, 117, 127, 128, 138, 142, 145, 155, 158, 160, 166, 173, 174, 175, 179, 210], "convert": [1, 5, 9, 10, 12, 14, 19, 20, 22, 23, 44, 49, 51, 52, 55, 73, 75, 95, 97, 105, 107, 110, 112, 113, 115, 116, 118, 119, 121, 127, 128, 138, 140, 158, 159, 160, 161, 162, 163, 167, 170, 178, 179, 182, 184, 185, 186, 190, 191, 192, 194, 195, 198, 201, 202, 211, 220, 222, 225, 226, 227, 229, 230, 255], "strictli": [1, 160], "speak": [1, 8, 43, 125, 136, 150], "perfectli": [1, 14, 65, 78, 111], "encourag": [1, 6, 19, 140, 161, 166, 172], "usag": [1, 3, 4, 11, 13, 15, 21, 23, 37, 60, 82, 109, 116, 121, 123, 125, 136, 137, 145, 146, 160, 162, 164, 165, 169, 178, 185, 186, 190, 195, 196, 197, 201, 222, 259, 265], "doe": [1, 2, 5, 6, 8, 13, 14, 15, 19, 22, 23, 25, 43, 47, 60, 61, 73, 79, 80, 85, 97, 98, 99, 101, 103, 105, 108, 112, 113, 117, 122, 123, 131, 134, 135, 136, 137, 140, 143, 146, 147, 148, 150, 153, 154, 159, 160, 161, 163, 164, 165, 166, 169, 170, 173, 174, 175, 177, 179, 183, 184, 185, 192, 193, 194, 199, 201, 204, 205, 207, 210, 225, 227, 230, 233, 265], 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113, 122, 124, 132, 134, 143, 145, 150, 153, 158, 160, 163, 169, 172, 177, 184, 185, 201, 202, 210, 222, 227, 228, 269], "pessimist": [1, 160], "bound": [1, 23, 49, 112, 126, 145, 160, 161, 169, 174, 175, 177, 179, 185], "pai": [1, 10, 45, 49, 60, 115], "attent": [1, 7, 10, 42, 45, 49, 115, 118, 119, 121, 124, 137, 167, 185, 186, 195, 255], "create_target_param": 1, "keyword": [1, 5, 157, 160, 172], "argument": [1, 2, 4, 5, 6, 8, 14, 21, 22, 23, 32, 43, 44, 48, 51, 55, 60, 69, 76, 78, 82, 89, 97, 99, 102, 103, 109, 111, 112, 115, 122, 123, 126, 127, 128, 133, 134, 136, 137, 139, 145, 146, 155, 156, 157, 160, 162, 163, 164, 165, 169, 172, 173, 174, 175, 180, 190, 193, 196, 201, 207, 208, 210, 211, 224, 225, 265, 266], "below": [1, 2, 4, 6, 10, 11, 12, 14, 16, 17, 18, 19, 20, 23, 24, 34, 43, 45, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 79, 82, 85, 97, 98, 99, 101, 102, 103, 105, 107, 108, 113, 114, 116, 118, 119, 124, 126, 130, 132, 133, 134, 135, 136, 137, 138, 142, 145, 148, 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137, 142, 148, 149, 154, 157, 174, 175, 177, 183, 186, 195, 196, 198, 201, 205, 209, 231, 265], "access": [1, 5, 6, 7, 10, 12, 14, 17, 19, 23, 50, 60, 68, 73, 78, 79, 87, 97, 102, 111, 112, 118, 119, 122, 125, 132, 136, 143, 154, 159, 161, 163, 172, 174, 175, 178, 186, 189, 191, 192, 194, 196, 203, 210, 211, 220, 255, 263], "detach": [1, 2, 6, 9, 11, 12, 13, 20, 32, 52, 73, 89, 90, 95, 101, 105, 108, 138, 151, 155, 166, 182, 186, 231, 246], "def": [1, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 33, 34, 37, 38, 44, 45, 47, 49, 51, 52, 53, 55, 60, 64, 65, 67, 73, 75, 78, 79, 85, 87, 89, 90, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 108, 109, 111, 112, 113, 115, 116, 117, 118, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 161, 162, 163, 164, 165, 166, 167, 169, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 191, 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60, 63, 64, 76, 79, 87, 89, 90, 97, 104, 105, 108, 111, 113, 115, 117, 118, 119, 122, 123, 130, 135, 136, 138, 139, 142, 143, 145, 146, 147, 148, 149, 151, 153, 155, 158, 161, 163, 165, 166, 172, 174, 175, 176, 179, 180, 183, 186, 196, 203, 204, 209, 211, 215, 217, 218, 232, 246, 247, 255, 263, 265], "super": [1, 4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 18, 19, 20, 21, 22, 25, 33, 37, 38, 44, 45, 47, 49, 52, 59, 60, 65, 67, 73, 78, 79, 85, 87, 89, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 109, 111, 112, 115, 118, 123, 125, 127, 128, 129, 130, 134, 135, 139, 143, 144, 147, 149, 150, 151, 154, 155, 157, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 180, 182, 195, 196, 197, 199, 200, 201, 204, 205, 210, 211, 214, 216, 217, 220, 221, 223, 224, 225, 228, 235, 236, 239, 241, 242, 243, 244, 245, 250, 251, 252, 254], "true": [1, 2, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20, 22, 23, 24, 32, 34, 37, 38, 41, 42, 43, 44, 45, 47, 49, 51, 52, 55, 58, 59, 60, 63, 64, 68, 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233, 255, 269], "actor_in_kei": 1, "in_kei": [1, 14, 137, 160], "sinc": [1, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 16, 19, 20, 21, 23, 44, 49, 51, 52, 53, 60, 65, 73, 78, 85, 97, 98, 99, 101, 102, 103, 105, 111, 113, 115, 116, 117, 118, 119, 124, 126, 127, 128, 131, 132, 136, 137, 140, 143, 144, 149, 151, 153, 154, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 170, 172, 173, 176, 177, 179, 180, 183, 184, 185, 186, 189, 190, 191, 192, 193, 199, 200, 201, 202, 206, 225, 233, 265], "base": [1, 5, 6, 7, 9, 10, 11, 14, 16, 17, 18, 20, 23, 24, 25, 42, 44, 49, 52, 57, 58, 59, 60, 73, 75, 76, 78, 85, 87, 97, 99, 105, 109, 112, 115, 116, 119, 120, 121, 122, 123, 126, 127, 129, 137, 138, 147, 156, 157, 161, 163, 166, 169, 170, 172, 175, 178, 179, 182, 183, 185, 186, 187, 193, 197, 198, 199, 200, 201, 202, 203, 225, 227, 265], "singl": [1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 17, 18, 20, 21, 22, 23, 43, 47, 51, 53, 54, 55, 56, 58, 59, 60, 61, 78, 85, 87, 97, 99, 113, 115, 121, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 144, 146, 147, 151, 155, 160, 161, 162, 163, 164, 166, 169, 172, 173, 174, 175, 176, 180, 183, 185, 195, 199, 202, 203, 207, 220, 225, 229, 255, 265], "critic": [1, 52, 73, 85, 133, 225, 230], "actor_crit": 1, "actorcriticwrapp": 1, "loss_funct": [1, 99, 102, 103], "l2": [1, 87, 93, 157], "q": [1, 7, 17, 43, 49, 60, 121, 124, 147, 165, 172, 197, 199, 203, 236], "empir": [1, 151, 160], "bootstrap": [1, 137], "td": [1, 14, 52, 137], "varianc": [1, 6, 19, 160], "bia": [1, 2, 5, 6, 7, 9, 13, 19, 43, 47, 52, 68, 69, 93, 99, 104, 109, 111, 112, 115, 123, 129, 130, 135, 137, 143, 146, 157, 160, 164, 165, 167, 174, 180, 182, 186, 195, 197, 200, 202, 203, 205, 220, 225, 246, 249], "mean": [1, 2, 5, 6, 7, 10, 12, 14, 19, 23, 25, 42, 47, 49, 51, 52, 58, 59, 60, 68, 73, 76, 80, 82, 85, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 103, 104, 109, 111, 112, 115, 116, 117, 122, 124, 126, 127, 130, 136, 138, 140, 144, 147, 148, 150, 154, 158, 159, 160, 161, 163, 164, 165, 166, 167, 169, 170, 172, 174, 175, 183, 186, 189, 191, 192, 193, 195, 199, 200, 202, 206, 207, 208, 212, 230, 231, 233, 236, 240, 255], "obtain": [1, 9, 24, 49, 60, 68, 87, 111, 126, 130, 136, 138, 143, 146, 155, 160, 161, 163, 169, 172, 179], "reward": [1, 4, 14, 137, 147, 160, 161, 162, 164], "noth": [1, 16, 23, 42, 73, 113, 131, 150, 160, 164, 169, 180], "mont": 1, "carlo": 1, "whole": [1, 3, 25, 44, 47, 60, 112, 113, 121, 136, 144, 157, 158, 160, 166, 183, 184, 186, 192, 202, 207, 210], "sequenc": [1, 5, 6, 12, 21, 23, 48, 49, 60, 67, 68, 98, 100, 103, 111, 112, 113, 115, 116, 118, 137, 138, 154, 160, 165, 166, 174, 175, 176, 183, 185, 186, 195, 197, 207, 213, 220, 225, 255, 265], "upcom": 1, "intermedi": [1, 17, 25, 74, 108, 112, 120, 121, 132, 135, 142, 145, 146, 147, 150, 153, 202, 203], "lambda": [1, 5, 7, 17, 20, 22, 49, 90, 104, 115, 116, 125, 129, 144, 159, 161, 162, 173, 174, 175, 203, 207, 232, 233, 248, 257, 265], "compromis": 1, "easi": [1, 2, 5, 6, 9, 23, 24, 44, 45, 51, 58, 59, 60, 61, 68, 80, 95, 97, 99, 122, 124, 126, 136, 143, 144, 146, 151, 154, 160, 169, 177, 184, 187, 197, 203, 207, 211, 222], "valueestim": 1, "enum": 1, "pointer": [1, 5, 6, 22, 23, 98, 163], "defin": [1, 2, 5, 12, 14, 15, 16, 17, 18, 20, 21, 23, 25, 38, 43, 45, 52, 58, 59, 62, 65, 67, 68, 69, 73, 78, 79, 85, 87, 98, 99, 103, 105, 111, 112, 113, 116, 118, 121, 122, 123, 125, 127, 132, 136, 137, 139, 140, 143, 144, 147, 151, 153, 155, 161, 162, 163, 165, 167, 169, 170, 173, 174, 175, 184, 189, 191, 197, 201, 202, 203, 210, 211, 222, 230, 237, 263], "default": [1, 3, 5, 6, 8, 9, 10, 11, 12, 15, 19, 20, 21, 24, 43, 45, 49, 51, 52, 55, 60, 63, 64, 69, 75, 76, 78, 82, 95, 99, 101, 108, 111, 115, 116, 117, 118, 119, 121, 122, 123, 124, 130, 135, 136, 137, 139, 142, 143, 145, 148, 150, 153, 156, 158, 159, 160, 162, 163, 164, 165, 169, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 187, 190, 194, 195, 196, 197, 199, 200, 201, 202, 204, 208, 210, 218, 222, 225, 230, 232, 237, 246, 255, 256, 263, 264, 265], "simplest": [1, 6, 23, 47, 99, 137, 160, 166], "util": [1, 3, 5, 7, 10, 14, 15, 17, 19, 20, 22, 23, 24, 25, 33, 34, 37, 38, 44, 45, 49, 51, 52, 53, 55, 60, 73, 75, 82, 87, 92, 94, 96, 104, 109, 112, 113, 115, 116, 117, 118, 119, 121, 122, 123, 124, 126, 129, 130, 135, 136, 138, 139, 142, 143, 145, 146, 148, 149, 154, 155, 156, 158, 159, 160, 163, 165, 166, 167, 169, 170, 172, 173, 177, 178, 179, 183, 185, 186, 190, 195, 196, 199, 200, 201, 202, 203, 204, 206, 208, 210, 211, 212, 220, 222, 223, 224, 226, 227, 238, 242, 247, 248, 249, 252, 254, 255, 256, 257], "default_value_estim": 1, "td0": 1, "instruct": [1, 6, 7, 19, 23, 24, 42, 108, 113, 115, 116, 118, 127, 128, 137, 138, 142, 157, 158, 160, 162, 164, 166, 177, 178, 183, 196, 199, 200, 201, 208, 210, 222, 233, 248], "queri": [1, 14, 22, 49, 60, 112, 118, 163, 165, 166, 179, 186, 195, 199, 202], "default_value_kwarg": 1, "td0estim": 1, "td1estim": 1, "tdlambdaestim": 1, 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151, 157, 158, 161, 162, 165, 166, 169, 173, 174, 177, 183, 185, 186, 191, 201, 204, 230, 255, 266, 268], "termin": [1, 14, 23, 53, 60, 87, 160, 161, 163, 164, 172, 190, 208, 227], "effect": [1, 5, 6, 8, 9, 11, 23, 55, 73, 82, 97, 103, 108, 124, 127, 128, 139, 153, 155, 157, 161, 165, 166, 172, 177, 178, 193, 201, 202, 207, 263], "regist": [1, 22, 43, 47, 78, 108, 109, 112, 121, 122, 124, 134, 142, 153, 154, 160, 174, 175, 178, 210, 222], "new": [1, 2, 4, 5, 6, 8, 9, 12, 13, 14, 22, 23, 24, 25, 31, 42, 43, 45, 48, 49, 50, 52, 55, 60, 62, 73, 75, 79, 80, 82, 85, 97, 99, 102, 103, 108, 109, 110, 112, 113, 117, 121, 122, 123, 125, 126, 127, 137, 138, 142, 143, 145, 147, 150, 153, 154, 155, 156, 157, 158, 160, 161, 162, 165, 166, 169, 172, 174, 175, 179, 180, 182, 187, 189, 190, 191, 195, 197, 198, 199, 200, 201, 202, 206, 207, 208, 210, 224, 225, 226, 227, 228, 265], "infer": [1, 3, 6, 8, 9, 10, 19, 20, 21, 22, 23, 42, 48, 49, 60, 61, 97, 101, 103, 105, 113, 121, 125, 126, 130, 140, 143, 145, 159, 160, 162, 172, 173, 178, 179, 186, 189, 190, 195, 196, 198, 199, 200, 201, 203, 205, 208, 211, 225, 226, 227, 230, 237, 243, 259], "around": [1, 5, 6, 11, 23, 24, 49, 55, 58, 59, 75, 97, 117, 128, 139, 145, 146, 151, 155, 158, 166, 169, 170, 174, 175, 183, 191, 192, 196, 199, 265, 268], "1m": [1, 137, 160], "10_000": [1, 97], "outer": [1, 6, 122, 146], "loop": [1, 3, 4, 5, 7, 8, 11, 16, 17, 19, 21, 25, 44, 47, 49, 51, 52, 59, 60, 65, 73, 75, 78, 85, 87, 97, 111, 118, 123, 126, 127, 138, 139, 145, 146, 147, 153, 155, 163, 164, 166, 170, 178, 184, 186, 203, 252], "equal": [1, 4, 10, 95, 97, 115, 116, 125, 138, 148, 157, 160, 161, 172, 174, 175, 177, 194], "length": [1, 7, 12, 14, 17, 20, 42, 45, 49, 52, 60, 102, 103, 105, 113, 115, 116, 124, 128, 137, 138, 147, 160, 165, 166, 176, 186, 193, 195, 198, 203, 207, 210, 253, 266], "sub": [1, 6, 20, 25, 49, 60, 109, 124, 129, 144, 150, 160, 164, 166, 169, 177, 178, 186, 248, 265], "traj_len": [1, 137], "200": [1, 6, 9, 90, 93, 137, 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16, 49, 51, 52, 73, 82, 97, 110, 112, 116, 136, 143, 157, 169, 172, 185, 192, 204, 266], "hyperparamet": [1, 6, 14, 17, 52, 87, 112, 115, 121, 126, 191, 195], "randomcroptensordict": 1, "make_replay_buff": 1, "buffer_s": 1, "random_crop_len": 1, "prefetch": [1, 137, 178], "prb": 1, "sampler": [1, 6, 19, 34, 55, 110, 122, 123, 138, 160, 166, 167, 183, 186, 199, 200], "max_capac": 1, "alpha": [1, 5, 6, 15, 98, 108, 127, 128, 147, 150, 172, 179, 191, 195, 266], "7": [1, 3, 5, 6, 17, 18, 19, 22, 23, 34, 36, 51, 58, 59, 80, 85, 95, 96, 101, 109, 116, 117, 122, 123, 130, 135, 136, 147, 148, 150, 158, 159, 167, 172, 173, 174, 175, 176, 178, 179, 185, 188, 190, 201, 204, 205, 206, 208, 209, 210, 212, 213, 217, 220, 221, 223, 224, 226, 227, 229, 230, 232, 249, 255, 258, 269], "beta": [1, 6, 20, 52, 105, 118, 121, 194, 218, 236, 253], "scratch_dir": 1, "buffer_scratch_dir": 1, "sample_dim": 1, "temporari": [1, 5, 117, 126, 178, 182], "disk": [1, 4, 23, 25, 105, 112, 137, 189, 190, 196, 210, 225], "tempfil": [1, 7, 87, 117, 125, 126, 134], "tmpdir": 1, "temporarydirectori": [1, 87, 117, 125], "along": [1, 4, 5, 6, 7, 8, 14, 17, 21, 23, 43, 48, 49, 53, 54, 55, 56, 60, 83, 97, 101, 102, 110, 116, 117, 119, 122, 123, 127, 128, 132, 133, 137, 153, 157, 161, 163, 170, 172, 176, 193, 203, 204], "dimens": [1, 5, 6, 7, 12, 14, 18, 20, 21, 44, 47, 48, 49, 60, 78, 79, 87, 92, 99, 101, 102, 103, 110, 115, 121, 124, 127, 130, 137, 139, 147, 148, 155, 157, 159, 160, 162, 174, 175, 176, 192, 195, 199, 200, 207, 225], "feed": [1, 6, 12, 19, 44, 47, 49, 60, 97, 100, 102, 105, 112, 124, 127, 128, 134, 135, 147, 161, 166, 170, 177, 197], "adapt": [1, 2, 14, 17, 24, 87, 105, 126, 203], "divid": [1, 7, 8, 9, 10, 11, 12, 14, 15, 19, 85, 97, 99, 127, 135, 136, 150, 154, 164, 177, 178, 182], "yield": [1, 6, 11, 12, 16, 17, 19, 21, 104, 112, 115, 116, 118, 124, 125, 162, 164, 185, 194, 203, 243], "regard": [1, 6, 11, 14, 23, 60, 112, 145, 146, 160, 169, 265], "25": [1, 7, 9, 22, 23, 73, 89, 90, 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160, 162, 165, 169, 178, 179, 186, 195], "altern": [1, 6, 10, 23, 48, 49, 102, 113, 117, 123, 139, 144, 148, 156, 158, 160, 166, 169, 172, 173, 183, 185, 194, 201, 211], "hack": [1, 138, 186, 191], "find": [1, 2, 4, 5, 6, 8, 10, 17, 22, 23, 48, 52, 73, 82, 83, 85, 87, 98, 101, 121, 123, 127, 128, 136, 138, 142, 143, 145, 150, 154, 158, 161, 164, 166, 169, 174, 175, 184, 191, 192, 193, 194, 197, 199, 202, 203, 206, 210, 224, 225, 255], "despit": [1, 73, 134], "fact": [1, 3, 5, 6, 8, 12, 14, 19, 22, 23, 60, 73, 80, 97, 99, 103, 113, 125, 154, 160, 161, 170], "part": [1, 3, 5, 6, 7, 8, 9, 10, 13, 14, 15, 16, 20, 23, 42, 43, 45, 49, 52, 58, 59, 60, 73, 76, 87, 98, 100, 103, 113, 116, 118, 121, 122, 124, 125, 128, 131, 132, 135, 136, 137, 138, 140, 144, 145, 150, 153, 154, 160, 166, 174, 175, 182, 183, 184, 185, 187, 190, 191, 193, 198, 200, 206, 210, 211, 224, 225, 255, 263, 264, 265], "thank": [1, 9, 19, 49, 104, 115, 119, 126, 127, 128, 136, 138, 166, 177, 178, 186, 189, 190, 197, 206, 224], "hardupd": 1, "softupd": [1, 137], "appropri": [1, 6, 7, 8, 42, 49, 60, 126, 127, 134, 154, 158, 163, 170, 176, 183, 199, 200, 201, 222], "locat": [1, 6, 31, 48, 78, 80, 82, 103, 109, 113, 136, 158, 160, 166, 169, 174, 175, 177, 179, 190, 206, 224, 225, 240, 260], "target_net_updat": 1, "ep": [1, 13, 73, 118, 130, 137, 143, 164, 174, 175, 180, 191, 200, 202, 203, 220], "adam": [1, 6, 11, 13, 14, 47, 49, 52, 69, 96, 97, 99, 110, 111, 118, 136, 137, 147, 149, 153, 160, 161, 162, 164, 166, 173, 212, 213, 216, 261], "optimizer_actor": 1, "lr": [1, 7, 11, 14, 16, 19, 24, 37, 38, 43, 44, 47, 49, 52, 65, 67, 69, 87, 89, 92, 94, 96, 97, 98, 99, 102, 103, 104, 110, 111, 112, 115, 117, 118, 122, 123, 130, 134, 135, 136, 137, 145, 147, 149, 150, 158, 160, 161, 162, 163, 164, 166, 167, 169, 170, 179, 212, 216, 218, 222, 223, 232, 239, 243, 244, 245, 247, 251, 252, 256, 261], "1e": [1, 13, 17, 20, 37, 38, 43, 63, 65, 67, 68, 69, 71, 72, 87, 93, 98, 111, 118, 125, 126, 130, 139, 151, 155, 158, 160, 161, 162, 164, 180, 191, 203, 220, 239], "weight_decai": [1, 98, 112, 158, 179, 218], "optimizer_valu": 1, "total_collection_step": 1, "pretti": [1, 16, 21, 44, 109, 113, 126, 146, 164, 183, 207], "rewards_ev": 1, "collected_fram": 1, "pbar": [1, 14, 137, 160], "r0": [1, 122], "enumer": [1, 7, 17, 19, 37, 38, 44, 49, 51, 52, 75, 87, 92, 94, 96, 98, 103, 115, 117, 123, 124, 127, 130, 137, 158, 159, 160, 163, 166, 167, 169, 170, 195, 203, 222, 223, 252, 256], "update_policy_weights_": 1, "numel": [1, 7, 8, 78, 97, 125, 130, 137, 148, 151, 160, 162, 191, 248, 257], "extend": [1, 4, 5, 6, 8, 19, 24, 52, 58, 59, 61, 87, 105, 106, 107, 113, 121, 123, 128, 135, 137, 159, 160, 163, 164, 172, 176, 178, 180, 187, 201, 210, 222], "current_fram": 1, "_": [1, 5, 11, 12, 14, 15, 16, 19, 21, 33, 34, 35, 36, 37, 40, 44, 48, 49, 52, 60, 75, 80, 87, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 102, 104, 106, 111, 115, 117, 118, 135, 136, 137, 138, 139, 140, 143, 145, 146, 148, 150, 151, 153, 158, 160, 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22, 23, 51, 58, 59, 73, 90, 92, 95, 97, 117, 150, 156, 158, 159, 164, 167, 172, 183, 187, 189, 191, 199, 200, 206, 210, 222, 224, 231, 233, 259], "set_descript": [1, 14, 137, 160], "2f": [1, 7, 19, 97, 115, 119, 123, 127, 130, 157, 159, 162, 164, 177, 178, 183, 185, 199, 200, 205, 230, 233, 236, 254], "grad": [1, 2, 6, 12, 13, 16, 32, 43, 47, 63, 64, 68, 73, 76, 78, 89, 101, 104, 111, 123, 125, 127, 128, 129, 130, 131, 134, 136, 142, 146, 151, 153, 160, 162, 163, 164, 191, 207, 213, 218, 232, 252], "norm": [1, 2, 14, 17, 19, 52, 78, 89, 97, 110, 121, 124, 154, 157, 160, 172, 183, 197, 203], "shutdown": [1, 16, 135, 162, 163, 164, 214], "del": [1, 44, 130, 142, 153, 160, 185, 187, 239], "plot": [1, 6, 12, 14, 17, 51, 52, 73, 82, 89, 113, 117, 126, 137, 147, 150, 160, 161, 162, 167, 170, 172, 197, 238], "mention": [1, 5, 6, 10, 11, 15, 16, 52, 60, 73, 85, 95, 97, 98, 112, 123, 124, 136, 137, 161, 163, 169, 172, 186, 199], "greater": [1, 11, 49, 52, 125, 177, 190, 208], "matplotlib": [1, 6, 12, 14, 34, 44, 51, 52, 57, 73, 75, 89, 90, 92, 94, 96, 104, 117, 127, 128, 137, 147, 150, 158, 160, 161, 166, 167, 170, 172, 179, 197, 238], "pyplot": [1, 6, 12, 14, 34, 44, 51, 52, 73, 75, 89, 90, 92, 94, 96, 104, 117, 127, 128, 137, 147, 150, 158, 160, 161, 166, 167, 170, 172, 179, 197, 238], "plt": [1, 6, 12, 14, 34, 44, 51, 52, 73, 75, 89, 90, 92, 94, 96, 117, 127, 128, 137, 147, 150, 158, 160, 161, 166, 167, 170, 172, 179, 197, 238], "zip": [1, 6, 17, 18, 44, 49, 50, 52, 104, 105, 108, 112, 116, 128, 138, 139, 151, 155, 161, 162, 164, 170, 172, 179, 182, 186, 203, 210, 218, 225, 232], "label": [1, 6, 17, 34, 40, 43, 44, 51, 52, 58, 59, 73, 75, 78, 87, 90, 92, 94, 96, 97, 99, 103, 109, 110, 113, 115, 117, 119, 122, 124, 127, 134, 135, 138, 147, 150, 158, 159, 162, 166, 169, 170, 179, 186, 203, 210, 215, 223, 233, 236, 238, 252, 261, 265], "legend": [1, 52, 147, 265], "xlabel": [1, 14, 52, 73, 137, 161, 172], "ylabel": [1, 17, 52, 73, 161, 172], "tight_layout": [1, 51, 73, 150, 158], "concret": [1, 5, 6, 8, 11, 150, 160, 191, 202], "takeawai": [1, 114], "further": [1, 4, 5, 6, 8, 19, 21, 23, 47, 61, 73, 87, 97, 113, 116, 118, 124, 127, 143, 145, 150, 157, 160, 172, 173, 178, 185, 195, 197, 198, 199, 200, 201, 206, 222, 224, 230, 255], "dispatch": [1, 5, 15, 121, 156, 178, 210], "distpatch": 1, "iql": 1, "flexibl": [1, 2, 5, 6, 23, 24, 25, 49, 60, 85, 105, 112, 115, 121, 122, 132, 201, 242], "minut": [1, 7, 9, 12, 13, 14, 17, 20, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 110, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 159, 160, 161, 165, 166, 167, 169, 170, 173, 175, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258], "000": [1, 7, 9, 12, 13, 14, 17, 19, 20, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 170, 172, 173, 175, 177, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258], "coding_ddpg": 1, "jupyt": [1, 7, 9, 12, 13, 14, 17, 20, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 82, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 170, 172, 173, 175, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258], "notebook": [1, 7, 9, 12, 13, 14, 17, 18, 20, 23, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 50, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 82, 83, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 170, 172, 173, 175, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258, 260], "ipynb": [1, 7, 9, 12, 13, 14, 17, 20, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 173, 175, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258], "galleri": [1, 7, 9, 12, 13, 14, 17, 20, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 173, 175, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258], "sphinx": [1, 7, 9, 12, 13, 14, 17, 20, 24, 25, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 60, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 79, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 112, 113, 114, 115, 116, 117, 118, 119, 125, 126, 127, 128, 130, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 157, 160, 161, 165, 166, 167, 169, 173, 175, 179, 182, 185, 191, 192, 193, 194, 195, 197, 205, 207, 213, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 257, 258, 263, 264, 265, 266, 270], "build": [2, 6, 7, 12, 14, 19, 20, 25, 35, 47, 49, 60, 61, 65, 68, 69, 75, 76, 78, 81, 87, 91, 95, 98, 103, 109, 111, 113, 114, 115, 118, 120, 121, 127, 128, 135, 136, 137, 138, 140, 142, 153, 155, 160, 161, 162, 163, 164, 175, 176, 182, 183, 186, 188, 189, 190, 195, 196, 198, 199, 201, 207, 222, 225, 226, 227, 248, 264, 269], "highli": [2, 5, 6, 10, 18, 49, 60, 87, 166, 176, 178, 207], "dynam": [2, 4, 5, 6, 8, 12, 14, 15, 19, 20, 22, 23, 25, 43, 53, 61, 65, 97, 100, 107, 111, 112, 119, 121, 148, 157, 160, 180, 183, 184, 185, 198, 199, 200, 201, 210, 222, 224, 237], "explor": [2, 6, 8, 14, 21, 23, 45, 49, 73, 108, 121, 126, 131, 137, 145, 147, 153, 160, 165, 166], "note": [2, 4, 5, 6, 7, 8, 9, 12, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 43, 44, 45, 47, 49, 50, 52, 61, 73, 85, 99, 100, 101, 102, 103, 108, 109, 112, 113, 116, 117, 122, 123, 124, 125, 126, 130, 131, 133, 134, 135, 136, 138, 139, 142, 143, 145, 146, 148, 150, 153, 155, 156, 157, 158, 162, 163, 164, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 186, 189, 190, 191, 192, 193, 194, 195, 199, 200, 201, 203, 204, 205, 206, 207, 224, 240, 255, 263, 265], "differenti": [2, 5, 6, 14, 18, 25, 35, 40, 46, 47, 57, 76, 121, 137, 155, 161, 167, 193], "requires_grad": [2, 6, 7, 8, 12, 13, 20, 32, 37, 43, 47, 63, 64, 68, 73, 76, 89, 95, 101, 104, 105, 108, 110, 111, 117, 125, 129, 130, 131, 142, 147, 148, 158, 179, 193, 203, 207, 239, 246, 252], "track": [2, 5, 7, 8, 9, 14, 43, 52, 63, 82, 99, 101, 110, 111, 117, 122, 127, 128, 133, 137, 143, 158, 164, 166, 169, 210], "auto": [2, 3, 5, 6, 8, 10, 12, 22, 55, 59, 122, 123, 145, 156, 187, 189, 190, 208, 210, 222, 233, 248, 265, 266], "cout": [2, 4, 6, 22, 23, 189, 259], "endl": [2, 6, 22, 23, 189, 210], "cpufloattyp": [2, 4, 6, 23, 210], "wa": [2, 3, 4, 5, 11, 17, 20, 22, 23, 25, 42, 44, 49, 51, 52, 58, 59, 60, 61, 73, 76, 79, 95, 97, 98, 99, 101, 108, 112, 113, 115, 116, 123, 124, 126, 134, 136, 147, 151, 153, 154, 155, 157, 159, 160, 161, 164, 165, 166, 170, 177, 178, 185, 190, 193, 194, 200, 203, 210, 225, 233, 265], "result": [2, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 17, 19, 20, 21, 23, 24, 25, 43, 44, 51, 58, 59, 60, 63, 64, 65, 67, 68, 69, 71, 72, 76, 78, 82, 83, 87, 97, 101, 107, 108, 111, 112, 114, 116, 119, 122, 124, 125, 128, 134, 136, 137, 138, 142, 143, 144, 145, 146, 147, 148, 150, 151, 155, 156, 157, 158, 159, 161, 162, 163, 164, 165, 170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 183, 185, 190, 192, 193, 194, 195, 197, 199, 200, 201, 202, 204, 205, 206, 207, 208, 210, 211, 220, 223, 224, 225, 230, 233, 235, 240, 243, 248, 255, 259, 263], "grad_fn": [2, 4, 25, 32, 43, 47, 76, 89, 101, 125, 131, 174, 186], "addbackward1": 2, "z": [2, 5, 7, 23, 32, 43, 49, 52, 60, 76, 80, 85, 89, 92, 95, 101, 148, 166, 175, 193, 205, 210, 258, 266], "27": [2, 7, 51, 145, 164, 177, 185, 230, 233], "mulbackward1": 2, "meanbackward0": 2, "requires_grad_": [2, 12, 32, 76, 101, 104, 146], "flag": [2, 5, 14, 23, 43, 73, 76, 101, 138, 151, 154, 166, 175, 177, 186, 198, 200, 206], "place": [2, 5, 6, 11, 12, 14, 18, 22, 23, 43, 45, 48, 49, 52, 76, 78, 85, 99, 101, 108, 113, 116, 118, 122, 126, 130, 134, 136, 139, 149, 150, 153, 155, 157, 158, 160, 161, 166, 172, 173, 176, 183, 191, 199, 200, 201, 207, 210, 255, 265, 266, 267], "randn": [2, 5, 6, 12, 13, 20, 23, 32, 45, 47, 52, 63, 65, 67, 71, 72, 76, 78, 80, 89, 97, 98, 99, 101, 102, 104, 105, 108, 110, 111, 125, 129, 134, 135, 139, 142, 143, 144, 145, 146, 150, 151, 155, 162, 164, 165, 173, 174, 175, 185, 187, 188, 193, 195, 199, 200, 201, 207, 210, 214, 232, 233, 234, 236, 240, 241, 247, 254, 257, 261], "b": [2, 5, 6, 7, 12, 18, 21, 23, 32, 43, 47, 63, 64, 65, 67, 71, 72, 76, 80, 83, 89, 92, 93, 95, 98, 99, 102, 103, 104, 109, 110, 111, 125, 127, 128, 130, 143, 145, 146, 148, 150, 159, 161, 173, 175, 188, 193, 195, 196, 205, 211, 233, 240, 248, 254, 266], "sumbackward0": 2, "backprop": [2, 43, 71, 72, 76, 98, 101, 111, 127, 147], "scalar": [2, 5, 14, 15, 23, 32, 43, 49, 52, 60, 63, 76, 101, 111, 170, 199, 208], "equival": [2, 4, 5, 11, 13, 17, 22, 23, 32, 43, 99, 138, 142, 155, 161, 163, 172, 174, 175, 186, 187, 191, 193, 195, 200, 201, 202, 203], "print": [2, 4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 32, 33, 34, 37, 38, 40, 42, 43, 44, 45, 47, 48, 49, 51, 52, 53, 58, 59, 63, 64, 65, 67, 68, 69, 71, 72, 73, 75, 76, 78, 80, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 122, 123, 125, 127, 128, 130, 133, 134, 135, 136, 137, 138, 139, 140, 143, 144, 145, 146, 147, 148, 149, 151, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 188, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 203, 205, 208, 210, 211, 212, 213, 214, 216, 217, 220, 221, 222, 223, 225, 230, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 246, 248, 249, 251, 252, 254, 255, 257, 258, 259, 261, 265], "dx": [2, 64, 76, 99, 111, 131, 175], "got": [2, 15, 19, 55, 98, 99, 101, 113, 134, 147, 148, 156, 163, 190, 199, 202, 215, 265], "matrix": [2, 5, 6, 12, 17, 23, 32, 40, 43, 48, 82, 92, 98, 99, 101, 103, 109, 110, 124, 127, 128, 146, 151, 154, 165, 166, 167, 172, 174, 175, 177, 178, 194, 195, 201, 203, 207, 222, 223, 228], "explan": [2, 52, 61, 161, 170], "arriv": [2, 6, 15, 23, 42, 113, 122, 134, 162, 210], "valu": [2, 4, 5, 6, 7, 9, 12, 14, 18, 19, 20, 21, 22, 23, 25, 32, 33, 40, 41, 43, 47, 48, 49, 50, 55, 58, 59, 60, 61, 63, 68, 73, 80, 82, 85, 87, 92, 97, 98, 99, 101, 102, 103, 105, 108, 111, 113, 115, 124, 125, 126, 127, 130, 133, 134, 136, 138, 139, 140, 142, 144, 147, 150, 151, 155, 156, 157, 161, 162, 163, 164, 165, 166, 169, 172, 173, 174, 175, 176, 183, 184, 186, 189, 191, 192, 193, 194, 195, 197, 198, 199, 200, 202, 205, 206, 210, 211, 213, 218, 224, 263], "section": [2, 4, 5, 6, 7, 8, 11, 15, 18, 19, 21, 23, 43, 44, 47, 50, 51, 52, 73, 95, 97, 98, 99, 102, 103, 108, 113, 116, 118, 125, 130, 136, 140, 142, 145, 147, 151, 158, 161, 162, 164, 169, 172, 174, 177, 178, 179, 180, 183, 190, 192, 193, 202, 204, 213, 222, 263, 265, 266, 267, 269], "jacobian": [2, 43, 89, 121, 142, 207], "product": [2, 3, 4, 6, 12, 40, 42, 43, 48, 60, 61, 85, 99, 105, 113, 121, 122, 136, 140, 142, 166, 176, 177, 178, 186, 201, 202, 207, 211, 233, 253], "1021": 2, "4020": 2, "314": 2, "6695": 2, "613": 2, "4944": [2, 210], "0001": [2, 19, 49, 87, 89, 118, 145, 223], "kfloat": [2, 3, 59, 187, 190, 208], "102": 2, "4000": [2, 49, 60, 92, 248], "1024": [2, 5, 18, 21, 42, 82, 97, 130, 148, 165, 185, 201, 210, 212, 213, 233, 241], "0000": [2, 23, 174, 203, 210, 266], "stop": [2, 4, 5, 23, 51, 58, 59, 76, 78, 87, 98, 101, 110, 126, 128, 136, 148, 153, 160, 162, 166, 169], "histori": [2, 9, 47, 48, 101, 110, 113, 117, 128, 147, 157, 158, 166, 182], "nogradguard": [2, 259], "block": [2, 5, 6, 7, 8, 10, 12, 16, 17, 19, 22, 23, 47, 49, 75, 76, 82, 90, 101, 115, 116, 123, 124, 135, 136, 137, 145, 158, 162, 163, 164, 165, 169, 172, 185, 203, 209, 210, 269], "no_grad": [2, 7, 9, 12, 17, 19, 32, 37, 38, 42, 43, 44, 52, 58, 59, 63, 64, 68, 76, 87, 89, 92, 96, 97, 98, 99, 101, 102, 104, 110, 111, 115, 117, 122, 123, 127, 128, 130, 137, 138, 145, 147, 158, 159, 160, 161, 163, 166, 167, 170, 173, 175, 178, 179, 182, 183, 185, 186, 196, 199, 200, 201, 204, 218, 222, 249, 256, 259], "Or": [2, 21, 23, 153, 164, 180, 200, 208, 210, 265], "eq": [2, 19, 23, 49, 60, 95, 123, 130, 163, 167, 174, 183, 199, 200, 223, 240, 265], "bool": [2, 11, 14, 15, 17, 23, 95, 109, 118, 138, 144, 147, 156, 160, 161, 165, 172, 180, 186, 192, 194, 203, 210, 255, 263], "is_leaf": 2, "detach_": [2, 164], "register_hook": [2, 129], "retain_grad": 2, "doc": [2, 4, 6, 32, 33, 34, 37, 38, 40, 60, 69, 94, 104, 109, 111, 133, 136, 143, 144, 162, 164, 172, 175, 182, 195, 207, 232, 239, 263, 264, 265, 270], "calcul": [2, 12, 17, 43, 44, 49, 52, 56, 60, 73, 82, 85, 87, 97, 110, 127, 128, 138, 144, 147, 161, 162, 164, 165, 166, 172, 178, 183, 193, 195, 199, 202, 203], "penalti": [2, 154, 159], "h": [2, 4, 5, 6, 7, 8, 9, 10, 12, 22, 23, 25, 38, 49, 51, 96, 124, 130, 138, 145, 147, 148, 156, 179, 182, 186, 190, 210, 215, 222, 224, 227, 248, 259], "model": [2, 3, 5, 8, 11, 14, 16, 22, 23, 24, 33, 35, 37, 38, 39, 42, 43, 44, 47, 48, 52, 53, 54, 56, 61, 65, 67, 68, 69, 75, 78, 86, 87, 89, 90, 91, 93, 95, 96, 98, 99, 100, 101, 104, 106, 107, 108, 109, 110, 111, 116, 118, 119, 120, 121, 123, 126, 127, 128, 129, 130, 133, 136, 140, 142, 143, 145, 146, 149, 153, 154, 155, 159, 160, 161, 162, 163, 164, 165, 173, 174, 175, 177, 178, 184, 185, 187, 195, 198, 201, 202, 203, 206, 207, 209, 212, 215, 216, 217, 221, 223, 224, 229, 230, 231, 232, 236, 237, 240, 243, 244, 245, 247, 250, 251, 252, 253, 254, 256, 259, 260, 261], "linear": [2, 5, 6, 7, 9, 11, 16, 17, 19, 25, 37, 38, 43, 44, 45, 47, 48, 49, 60, 68, 69, 73, 78, 79, 87, 89, 92, 93, 94, 96, 97, 98, 100, 102, 103, 105, 109, 110, 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"1274": 3, "961": 3, "1779": 3, "1017": 3, "1559": 3, "0871": 3, "972": 3, "2240": 3, "0735": [3, 203], "0520": 3, "0710": 3, "0935": 3, "0666": [3, 23], "0744": 3, "0603": 3, "981": 3, "0762": 3, "0547": 3, "0207": 3, "0525": [3, 210], "0m6": 3, "952": [3, 145], "0m7": 3, "048": 3, "0m0": 3, "619": 3, "gain": [3, 5, 17, 82, 146, 155, 169, 177, 203], "six": [3, 160, 167, 265], "kind": [3, 5, 6, 19, 23, 44, 47, 49, 58, 59, 73, 98, 102, 112, 119, 121, 138, 174, 178, 199, 255], "larg": [3, 5, 6, 7, 12, 16, 17, 18, 23, 42, 49, 87, 97, 102, 103, 105, 117, 120, 121, 122, 123, 126, 130, 134, 136, 139, 140, 150, 151, 160, 161, 163, 164, 165, 172, 173, 177, 178, 179, 193, 201, 203, 204, 225, 263, 265], "improv": [3, 5, 6, 8, 10, 17, 19, 21, 24, 42, 49, 56, 97, 108, 120, 121, 122, 123, 124, 130, 143, 146, 148, 150, 154, 155, 158, 161, 165, 166, 172, 173, 177, 178, 185, 186, 196, 199, 202, 203, 206, 220, 222, 224, 266], "due": [3, 5, 6, 17, 18, 22, 52, 58, 60, 82, 85, 108, 122, 123, 124, 134, 153, 154, 158, 163, 173, 177, 183, 185, 193, 202, 203, 204, 213, 264, 265], "heavi": [3, 6, 49, 97, 101, 225], "impact": [3, 12, 17, 87, 97, 137, 162, 165, 185, 203, 211, 255], "smaller": [3, 9, 51, 79, 97, 103, 123, 124, 158, 160, 162, 172, 205, 210, 225], "nevertheless": [3, 5, 19, 23, 148, 160], "primari": [4, 5, 6, 15, 143, 176, 177, 178, 187, 195, 208], "program": [4, 5, 18, 21, 22, 23, 25, 60, 61, 98, 100, 101, 103, 121, 124, 127, 144, 163, 173, 174, 178, 188, 199, 200, 201, 202], "languag": [4, 5, 6, 7, 21, 23, 24, 25, 44, 49, 58, 59, 60, 78, 79, 98, 100, 102, 116, 118, 119, 121, 124, 126, 127, 128, 138, 164, 166, 174, 175, 182, 187, 197, 248, 255, 257, 264, 265, 266], "suitabl": [4, 8, 132, 136, 140, 172, 201, 225], "prefer": [4, 6, 8, 53, 58, 146, 151, 156, 160, 177, 196, 255], "eas": [4, 5, 85, 122, 178, 222], "situat": [4, 15, 23, 25, 37, 130, 131, 134, 136, 179, 185, 197], "properti": [4, 5, 6, 11, 14, 21, 23, 25, 32, 40, 48, 101, 103, 126, 148, 154, 166, 174, 175, 177, 178, 192, 210, 222, 251, 259, 263], "unfavor": 4, "environ": [4, 5, 6, 7, 11, 17, 18, 22, 25, 42, 55, 61, 82, 85, 105, 112, 114, 115, 121, 122, 123, 124, 133, 134, 135, 136, 145, 149, 150, 156, 161, 162, 163, 164, 173, 174, 175, 176, 177, 206, 208, 210, 214, 216, 217, 224, 225, 233, 255, 261], "latter": [4, 5, 6, 60, 61, 126, 162, 200], "land": [4, 23, 113, 147, 193, 222], "latenc": [4, 6, 17, 121, 124, 126, 133, 145, 159, 173, 177, 178, 189, 196, 203, 225], "strict": [4, 112, 172, 192, 222, 250], "bind": [4, 6, 10, 23, 121, 177, 178, 265], "java": [4, 58, 178, 206, 224, 225], "rust": 4, "paragraph": [4, 6, 23, 266, 269], "outlin": [4, 5, 6, 23, 229], "pure": [4, 5, 6, 10, 23, 47, 121, 127, 131, 139, 155, 179, 187, 201], "journei": [4, 6, 52, 138], "enabl": [4, 5, 6, 8, 11, 14, 15, 16, 18, 19, 23, 24, 42, 47, 55, 56, 58, 59, 60, 61, 75, 82, 97, 107, 112, 122, 123, 124, 126, 129, 130, 131, 134, 136, 138, 145, 148, 153, 157, 159, 160, 169, 170, 172, 176, 177, 178, 180, 184, 185, 191, 193, 195, 197, 198, 201, 206, 222, 226, 227, 230, 232, 242, 263], "vanilla": [4, 5, 6, 23, 49, 65, 99, 111, 127, 172, 191], "eager": [4, 10, 23, 60, 85, 86, 121, 129, 145, 148, 165, 173, 175, 182, 197, 199, 200, 201, 202, 212, 223], "discuss": [4, 5, 6, 8, 10, 15, 16, 23, 44, 73, 79, 101, 102, 116, 122, 123, 129, 135, 143, 144, 145, 150, 151, 173, 177, 178, 184, 191, 192, 193, 194, 209, 230], "littl": [4, 17, 25, 52, 61, 97, 99, 113, 137, 160, 162, 164, 165, 167, 169, 203], "effort": [4, 14, 49, 51, 52, 108, 183, 197, 198], "next": [4, 5, 6, 8, 9, 11, 12, 14, 15, 16, 17, 19, 20, 22, 23, 34, 42, 43, 49, 51, 53, 55, 56, 58, 59, 60, 75, 78, 80, 82, 85, 92, 94, 96, 97, 98, 99, 102, 103, 105, 112, 113, 115, 117, 121, 122, 123, 124, 125, 127, 128, 130, 131, 133, 137, 138, 139, 140, 144, 145, 147, 150, 151, 153, 155, 158, 161, 162, 163, 164, 166, 167, 169, 170, 178, 179, 182, 183, 185, 189, 190, 193, 194, 197, 199, 200, 201, 203, 205, 210, 222, 224, 225, 263, 265, 266], "mechan": [4, 5, 6, 11, 14, 15, 24, 32, 49, 56, 60, 131, 144, 154, 166, 167, 169, 175, 178, 201, 222], "evalu": [4, 6, 9, 12, 17, 19, 20, 24, 37, 73, 97, 105, 107, 112, 118, 146, 151, 160, 161, 163, 170, 173, 174, 175, 179, 182, 200, 203, 223, 243], "onc": [4, 5, 6, 8, 10, 11, 14, 16, 17, 20, 21, 22, 23, 25, 51, 52, 56, 60, 82, 97, 98, 102, 105, 113, 132, 137, 140, 148, 149, 153, 154, 157, 159, 160, 161, 163, 166, 169, 170, 178, 185, 186, 190, 195, 197, 203, 222, 225, 233], "record": [4, 6, 8, 19, 20, 23, 25, 43, 49, 60, 112, 121, 122, 123, 127, 130, 131, 144, 147, 153, 160, 161, 163, 164, 173, 175, 206, 255], "explicit": [4, 6, 21, 23, 60, 140, 148, 164, 192, 202, 211, 265], "pars": [4, 5, 23, 49, 51, 103, 116, 122, 123, 126, 211, 265], "subject": [4, 11, 14, 23, 42, 108, 113, 123, 142, 166, 174, 175, 189, 190, 195, 200, 206, 207, 208, 224], "constraint": [4, 6, 12, 17, 18, 60, 85, 98, 99, 121, 124, 126, 154, 160, 172, 199, 200, 202, 203, 255], "impos": [4, 225, 234], "guidanc": [4, 8, 177, 178, 197], "offici": [4, 82, 108, 113, 115, 136, 161, 173, 175, 182, 201, 220, 222, 255], "jit": [4, 6, 8, 15, 19, 21, 22, 25, 49, 58, 59, 60, 85, 112, 119, 138, 143, 148, 173, 178, 183, 186, 189, 190, 196, 199, 200, 205, 206, 208, 209, 210, 211, 218, 220, 222, 224, 225, 226, 227, 233, 240, 249, 254, 255, 257, 259], "scriptmodul": [4, 22, 23, 25, 85, 205, 224, 255, 259], "embed": [4, 7, 9, 16, 21, 23, 49, 60, 75, 79, 93, 98, 100, 102, 110, 112, 115, 118, 121, 122, 124, 138, 163, 164, 166, 170, 176, 182, 190, 195, 197, 243, 265], "resnet18": [4, 43, 90, 117, 148, 158, 159, 169, 172, 183, 197, 199, 200, 201, 231, 240, 259], "normal": [4, 6, 8, 11, 12, 19, 20, 21, 37, 39, 49, 51, 52, 58, 59, 60, 65, 73, 80, 85, 87, 90, 92, 94, 96, 97, 98, 99, 102, 103, 111, 112, 117, 119, 123, 127, 128, 130, 136, 137, 140, 147, 149, 154, 158, 159, 162, 163, 165, 166, 167, 169, 170, 172, 173, 178, 183, 185, 192, 199, 200, 206, 211, 215, 222, 223, 225, 226, 227, 230, 231, 243, 244, 245, 252, 255, 256, 265], "rand": [4, 5, 6, 14, 15, 17, 21, 23, 25, 33, 40, 43, 48, 85, 89, 92, 93, 95, 96, 109, 114, 130, 131, 145, 147, 153, 154, 165, 177, 178, 179, 180, 189, 197, 199, 200, 203, 205, 208, 212, 213, 216, 221, 222, 225, 226, 227, 228, 235, 241, 249, 255, 256, 259], "224": [4, 12, 19, 20, 51, 58, 59, 75, 90, 97, 117, 119, 140, 143, 144, 153, 158, 159, 167, 169, 172, 177, 178, 183, 189, 190, 196, 199, 200, 201, 206, 208, 215, 220, 222, 225, 226, 227, 231, 240, 249, 255, 256, 259], "traced_script_modul": [4, 225], "ident": [4, 6, 17, 55, 85, 124, 133, 143, 151, 158, 167, 170, 186, 194, 196, 203, 220], "2698": 4, "0381": 4, "4023": 4, "3010": 4, "0448": 4, "slicebackward": 4, "circumst": [4, 5], "emploi": [4, 97, 166, 169], "particular": [4, 5, 6, 8, 11, 23, 42, 44, 51, 60, 82, 83, 87, 103, 124, 126, 127, 136, 137, 139, 140, 151, 155, 163, 172, 174, 175, 179, 180, 191, 192, 194, 195, 225], "form": [4, 6, 9, 12, 15, 17, 23, 47, 49, 52, 60, 98, 105, 110, 113, 116, 121, 125, 128, 140, 145, 166, 172, 175, 185, 195, 203, 204, 215, 265], "accordingli": [4, 10, 12, 18, 22, 137, 150, 153, 162, 172, 190, 263], "sai": [4, 5, 6, 24, 43, 51, 99, 101, 103, 113, 115, 125, 139, 146, 150, 153, 157, 169, 185, 202, 224, 266], "mymodul": [4, 6, 109, 173, 174, 175, 204, 214], "__init__": [4, 5, 6, 7, 9, 11, 12, 13, 14, 16, 19, 20, 21, 22, 25, 33, 37, 38, 44, 45, 47, 49, 51, 52, 53, 60, 65, 67, 73, 78, 79, 85, 87, 89, 92, 93, 94, 96, 97, 98, 99, 102, 103, 104, 105, 109, 111, 112, 115, 118, 123, 125, 127, 128, 129, 130, 134, 135, 136, 139, 143, 144, 147, 149, 150, 151, 154, 155, 157, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 179, 180, 182, 183, 184, 195, 196, 197, 199, 200, 201, 204, 205, 211, 214, 216, 217, 218, 220, 221, 223, 225, 228, 230, 235, 236, 239, 241, 242, 243, 244, 245, 246, 250, 251, 252, 254, 255, 265], "n": [4, 5, 6, 7, 9, 12, 17, 19, 22, 23, 32, 33, 37, 38, 40, 43, 47, 48, 49, 51, 59, 60, 75, 82, 85, 89, 90, 93, 94, 95, 97, 104, 110, 113, 115, 118, 122, 123, 127, 130, 134, 136, 137, 138, 144, 146, 147, 148, 151, 154, 157, 161, 162, 163, 164, 166, 167, 170, 179, 183, 185, 186, 188, 191, 192, 193, 194, 195, 199, 200, 202, 203, 207, 210, 215, 222, 232, 233, 238, 246, 249, 257, 259], "mv": [4, 110], "my_modul": 4, "20": [4, 6, 7, 9, 13, 16, 17, 19, 23, 33, 58, 59, 61, 78, 79, 82, 85, 87, 93, 95, 109, 123, 126, 128, 134, 136, 137, 143, 145, 147, 148, 150, 151, 153, 157, 162, 164, 167, 169, 174, 175, 178, 185, 189, 194, 197, 200, 203, 211, 223, 225, 233, 234, 236, 240, 248, 261, 269], "sm": [4, 169], "exclud": [4, 8, 43], "doesn": [4, 7, 8, 10, 12, 13, 17, 25, 58, 99, 101, 103, 113, 125, 144, 146, 148, 157, 172, 173, 177, 180, 184, 185, 191, 197, 200, 202, 203, 207, 210, 213, 230, 265], "yet": [4, 6, 10, 11, 18, 23, 50, 73, 102, 107, 108, 113, 136, 163, 166, 176, 180, 186, 195, 200, 201, 222, 226, 227], "could": [4, 5, 6, 8, 10, 11, 23, 52, 60, 87, 97, 98, 99, 101, 102, 103, 105, 109, 122, 123, 124, 125, 127, 128, 130, 136, 140, 148, 150, 153, 160, 161, 162, 163, 164, 166, 169, 170, 172, 177, 178, 179, 180, 191, 193, 199, 201, 202, 207, 222], "ignor": [4, 19, 49, 51, 97, 102, 103, 112, 143, 149, 156, 160, 172, 179, 180, 183, 189, 191, 192, 193, 194, 195, 199, 200, 220], "readi": [4, 6, 9, 10, 16, 22, 23, 42, 49, 58, 59, 60, 98, 99, 102, 103, 122, 135, 136, 151, 156, 160, 162, 163, 164, 176, 179, 189, 196, 199, 200, 201, 210, 215, 225, 226, 227, 230, 255], "hand": [4, 5, 6, 8, 14, 17, 18, 23, 61, 73, 98, 103, 128, 136, 140, 155, 173, 178, 192, 203], "shown": [4, 6, 8, 17, 19, 20, 21, 52, 58, 59, 113, 116, 124, 126, 138, 145, 147, 158, 161, 162, 164, 165, 169, 172, 173, 177, 178, 184, 190, 192, 193, 194, 197, 200, 202, 203, 222, 230, 255, 263, 265], "filenam": [4, 6, 49, 104, 109, 116, 127, 128, 172, 232], "traced_resnet_model": 4, "pt": [4, 6, 22, 23, 25, 53, 58, 59, 75, 112, 117, 119, 122, 123, 138, 190, 196, 206, 208, 210, 220, 222, 223, 224, 225, 226, 227, 230, 242, 243, 244, 245, 250, 259], "my_module_model": 4, "left": [4, 17, 32, 43, 47, 49, 51, 52, 64, 85, 89, 99, 103, 111, 112, 113, 136, 138, 147, 151, 160, 161, 163, 165, 169, 170, 202, 203, 263, 265], "realm": [4, 6], "cross": [4, 7, 8, 13, 20, 44, 52, 95, 118, 124, 126, 177, 265], "sphere": 4, "distribut": [4, 5, 6, 14, 15, 19, 24, 52, 54, 73, 75, 79, 80, 87, 97, 99, 103, 108, 113, 121, 122, 123, 124, 126, 132, 133, 138, 148, 150, 153, 156, 160, 162, 169, 177, 186, 195, 198, 204, 210, 214, 216, 217, 218, 225, 233, 253, 261], "encompass": 4, "share": [4, 5, 6, 10, 11, 18, 22, 23, 48, 55, 66, 78, 80, 87, 97, 101, 108, 110, 113, 121, 122, 125, 134, 136, 137, 147, 160, 162, 163, 164, 174, 175, 177, 197, 210, 222], "header": [4, 5, 6, 8, 22, 23, 144, 156, 190, 206, 210, 224, 227, 263, 265, 266], "cmake": [4, 6, 190, 208, 222, 259], "futur": [4, 7, 18, 21, 22, 42, 49, 58, 59, 109, 110, 118, 123, 135, 138, 142, 147, 153, 156, 158, 161, 162, 163, 164, 174, 175, 180, 182, 189, 190, 194, 199, 200, 201, 202, 206, 210, 224, 255], "begin": [4, 5, 6, 7, 11, 12, 17, 19, 22, 23, 25, 32, 43, 49, 50, 52, 55, 58, 59, 73, 85, 89, 102, 103, 108, 113, 115, 116, 122, 124, 138, 143, 153, 158, 161, 163, 169, 170, 193, 195, 203, 225, 230, 265], "iostream": [4, 5, 6, 22, 23, 222], "argc": [4, 22, 23, 222, 259], "const": [4, 5, 6, 8, 10, 15, 22, 23, 59, 145, 156, 187, 210, 222, 224, 233, 248, 259], "char": [4, 22, 23, 59, 145, 210, 222, 259], "cerr": [4, 22, 23, 222, 259], "app": [4, 23, 105, 119, 121, 140, 196, 206, 215, 222, 224, 229, 230, 255], "try": [4, 6, 12, 14, 15, 17, 19, 21, 22, 23, 25, 42, 44, 47, 48, 49, 52, 53, 58, 59, 60, 61, 73, 79, 97, 98, 99, 100, 101, 104, 105, 109, 116, 125, 126, 127, 128, 130, 137, 143, 145, 147, 148, 150, 151, 153, 156, 157, 160, 161, 165, 166, 169, 173, 174, 175, 177, 183, 185, 189, 192, 199, 203, 205, 210, 215, 222, 224, 259, 265, 266], "deseri": [4, 6, 23, 112, 183, 199, 200], "catch": [4, 8, 11, 22, 58, 210, 222, 224, 259], "c10": [4, 8, 10, 15, 22, 145, 156, 187, 190, 210, 222, 233, 248, 259], "ok": [4, 103, 162, 265], "relev": [4, 6, 14, 53, 98, 100, 103, 113, 114, 122, 124, 157, 172], "accept": [4, 5, 20, 67, 78, 87, 97, 102, 111, 115, 116, 124, 126, 142, 146, 151, 155, 160, 163, 169, 172, 180, 202, 204, 207, 255], "proce": [4, 11, 25, 97, 99, 145, 158, 166], "examin": [4, 11, 22, 25, 58, 59, 82, 97, 144], "moment": [4, 6, 11, 174, 180, 194, 208, 225], "cpp": [4, 5, 6, 8, 22, 23, 120, 121, 145, 189, 198, 201, 210, 222, 248, 259], "cmakelist": [4, 6, 22, 23, 210, 222, 259], "txt": [4, 5, 6, 9, 22, 23, 49, 75, 116, 127, 128, 138, 145, 159, 166, 186, 210, 222, 259], "cmake_minimum_requir": [4, 6, 22, 23, 210, 222, 259], "fatal_error": [4, 6, 22, 23, 210, 222, 259], "custom_op": [4, 108, 174, 175, 259], "find_packag": [4, 6, 22, 23, 222, 259], "add_execut": [4, 6, 22, 23, 222, 259], "target_link_librari": [4, 6, 22, 23, 210, 222, 259], "torch_librari": [4, 6, 8, 22, 23, 222, 259], "set_properti": [4, 6, 222, 259], "cxx_standard": [4, 6, 222, 259], "14": [4, 6, 22, 23, 24, 47, 73, 92, 123, 145, 172, 177, 210, 222, 223, 230, 233, 240, 269], "last": [4, 6, 11, 12, 14, 19, 23, 40, 43, 49, 52, 53, 59, 60, 73, 83, 85, 87, 99, 102, 105, 113, 117, 121, 124, 125, 127, 128, 136, 137, 143, 145, 149, 150, 153, 158, 160, 161, 162, 164, 165, 166, 170, 177, 179, 190, 191, 194, 195, 220, 222, 224, 230, 249, 255], "thing": [4, 5, 6, 8, 15, 21, 22, 23, 25, 43, 44, 47, 49, 58, 59, 85, 87, 97, 98, 99, 101, 102, 103, 113, 116, 124, 125, 126, 130, 131, 132, 133, 136, 137, 140, 144, 145, 148, 149, 154, 159, 160, 167, 178, 183, 185, 197, 199, 210, 265], "grab": [4, 6, 52, 159, 164], "latest": [4, 6, 10, 14, 20, 87, 107, 108, 112, 121, 138, 158, 159, 160, 163, 166, 167, 172, 173, 210, 260, 263], "stabl": [4, 20, 26, 27, 28, 29, 30, 32, 33, 34, 37, 38, 40, 94, 98, 113, 141, 159, 168, 169, 171, 182, 225, 232, 235, 253, 263], "page": [4, 6, 10, 22, 23, 50, 54, 61, 109, 127, 140, 164, 169, 176, 201, 206, 210, 211, 219, 222, 224, 267, 269], "websit": [4, 6, 161], "unzip": [4, 6, 19, 50, 172, 179, 182, 183, 199, 200, 210], "archiv": [4, 5, 6, 25, 148, 260], "against": [4, 22, 23, 44, 60, 81, 105, 136, 148, 160, 222], "window": [4, 5, 6, 7, 20, 44, 51, 103, 105, 121, 134, 163, 169, 179, 208, 265], "debug": [4, 6, 8, 19, 25, 58, 59, 60, 78, 98, 121, 125, 174, 175, 187, 197, 198, 233, 258], "abi": [4, 5, 6, 22, 23, 206, 208, 210, 222], "plan": [4, 6, 10, 18, 60, 112, 122, 124, 172, 176, 183, 189, 194, 200, 208, 210, 226], "correct": [4, 5, 6, 8, 10, 11, 12, 13, 19, 37, 38, 43, 44, 47, 49, 60, 64, 73, 85, 87, 92, 97, 98, 99, 102, 111, 122, 123, 125, 127, 130, 134, 137, 145, 148, 154, 157, 160, 162, 163, 166, 167, 169, 170, 183, 195, 199, 200, 223, 263], "laid": 4, "within": [4, 5, 7, 14, 18, 21, 23, 61, 85, 103, 105, 109, 110, 124, 131, 138, 143, 145, 154, 157, 161, 163, 172, 177, 178, 186, 187, 194, 195, 197, 201, 208, 210, 263, 265], "mkdir": [4, 6, 23, 104, 147, 169, 172, 182, 196, 210], "dcmake_prefix_path": [4, 6, 22, 23, 222, 259], "config": [4, 6, 10, 17, 20, 24, 87, 123, 126, 129, 138, 145, 159, 177, 178, 180, 185, 186, 187, 199, 201, 203, 222, 254, 257], "someth": [4, 5, 6, 11, 14, 19, 23, 25, 44, 87, 99, 101, 113, 116, 136, 145, 158, 159, 160, 166, 207, 265], "root": [4, 5, 6, 14, 22, 23, 34, 37, 38, 41, 43, 44, 51, 52, 87, 92, 97, 98, 110, 130, 137, 145, 163, 164, 167, 169, 179, 190, 206, 215, 222, 225, 238, 252, 255, 256, 263], "4b5a67132e81": 4, "identif": [4, 6, 22, 23, 222], "gnu": [4, 5, 6, 22, 23, 222, 249], "cxx": [4, 6, 22, 23, 188, 206, 208, 210, 222], "check": [4, 5, 6, 7, 8, 13, 14, 15, 19, 20, 22, 23, 25, 42, 43, 44, 45, 49, 50, 52, 55, 58, 59, 60, 73, 75, 85, 97, 98, 101, 104, 105, 108, 109, 110, 115, 116, 122, 126, 134, 136, 137, 140, 142, 143, 145, 147, 148, 154, 155, 157, 159, 160, 163, 172, 173, 174, 175, 177, 179, 190, 194, 195, 200, 202, 208, 210, 222, 224, 225, 255], "usr": [4, 6, 18, 22, 23, 136, 196, 222], "cc": [4, 6, 22, 23, 43, 108, 118, 206, 208, 222], "detect": [4, 6, 11, 12, 18, 22, 23, 52, 75, 121, 140, 159, 169, 173, 222], "info": [4, 5, 6, 22, 23, 82, 118, 133, 136, 138, 147, 161, 172, 174, 175, 176, 186, 209, 222, 223, 230], "pthread": [4, 5, 6, 22, 23, 210, 222], "pthread_creat": [4, 6, 22, 23, 222], "thread": [4, 5, 6, 8, 9, 21, 22, 23, 52, 61, 109, 134, 135, 138, 150, 159, 162, 163, 164, 177, 178, 182, 183, 196, 222, 233, 248], "scan": [4, 6, 22, 23, 172], "50": [4, 6, 7, 12, 16, 17, 19, 21, 22, 23, 24, 49, 52, 53, 58, 78, 92, 137, 145, 148, 157, 161, 164, 167, 178, 179, 183, 186, 193, 199, 201, 203, 205, 221, 223, 225, 230, 232, 249], "cmakefil": [4, 6, 22, 23], "dir": [4, 6, 22, 23, 82, 126, 148, 149, 206, 210, 225, 248], "o": [4, 5, 6, 7, 17, 22, 23, 90, 97, 98, 108, 128, 138, 151, 153, 172, 203, 265], "100": [4, 6, 9, 14, 16, 17, 19, 21, 22, 23, 37, 38, 44, 45, 48, 49, 52, 63, 64, 67, 68, 69, 71, 72, 80, 89, 92, 93, 94, 97, 99, 111, 119, 123, 125, 127, 128, 129, 130, 134, 139, 144, 145, 146, 147, 148, 150, 155, 157, 159, 160, 161, 164, 166, 167, 170, 172, 173, 174, 175, 177, 178, 183, 189, 193, 197, 199, 200, 203, 217, 221, 223, 233, 236, 248, 260], "suppli": [4, 6, 101, 148, 159, 265], "binari": [4, 6, 20, 22, 23, 49, 52, 105, 136, 148, 157, 173, 179, 190, 192, 198, 201, 206, 210, 220, 222, 224, 225, 233], "incompat": [4, 174, 175, 199], "1d": [4, 68, 93, 111, 207], "4d": [4, 47, 78, 148, 202], "path_to_model": 4, "successfulli": [4, 6, 22, 50, 58, 59, 60, 105, 119, 126, 136, 145, 163, 193, 196, 208, 227, 229, 243, 259], "coupl": [4, 14, 49, 103, 122, 124, 131, 137, 139, 153, 170, 184, 205], "awai": [4, 5, 6, 23, 47, 60, 98, 99, 101, 113, 144, 150, 160, 161, 162, 194, 265], "ivalu": [4, 23, 58, 145, 156, 208, 210, 222, 225, 259], "push_back": [4, 22, 23, 222, 259], "totensor": [4, 12, 19, 20, 23, 34, 37, 38, 44, 51, 52, 58, 59, 73, 75, 87, 90, 92, 94, 96, 97, 116, 117, 119, 123, 130, 136, 140, 149, 158, 159, 163, 167, 169, 170, 172, 183, 189, 190, 199, 200, 206, 208, 215, 222, 223, 225, 231, 252, 256, 259], "slice": [4, 5, 48, 80, 102, 127, 151, 157, 195, 208], "eras": [4, 25], "org": [4, 6, 26, 27, 28, 29, 30, 32, 33, 34, 35, 37, 38, 40, 42, 45, 46, 49, 58, 59, 74, 77, 84, 91, 93, 94, 96, 100, 104, 106, 113, 120, 122, 127, 128, 138, 141, 142, 143, 144, 153, 154, 158, 159, 166, 168, 169, 171, 173, 175, 182, 185, 189, 190, 192, 194, 196, 198, 205, 206, 207, 208, 209, 210, 215, 223, 224, 225, 226, 228, 232, 235, 236, 237, 238, 239, 259, 263, 265], "cppdoc": [4, 6], "pariti": 4, "manipul": [4, 60, 103, 144, 153, 183, 186], "five": [4, 9, 65, 95, 111, 113], "ideal": [4, 6, 14, 58, 59, 97, 150, 166, 178, 199], "variabl": [4, 5, 6, 7, 8, 12, 20, 22, 23, 42, 49, 60, 69, 76, 82, 87, 98, 99, 101, 111, 114, 127, 133, 136, 145, 162, 165, 174, 175, 177, 185, 193, 195, 207, 208, 210, 224, 255], "kcuda": [4, 6, 187], "live": [4, 6, 10, 15, 121, 125, 135, 163, 164, 194, 265], "hopefulli": [4, 6, 50, 51, 73, 85, 99, 112], "equip": [4, 5, 131, 137, 191], "concept": [4, 6, 11, 22, 55, 100, 101, 114, 121, 126, 147, 162, 165, 166, 187, 199, 201, 202], "Of": [4, 14, 23, 97, 101, 125, 134, 136, 170, 192, 194], "cours": [4, 6, 14, 17, 19, 23, 53, 97, 100, 101, 103, 104, 125, 134, 136, 170, 203], "did": [4, 6, 8, 19, 23, 25, 44, 52, 60, 68, 105, 111, 113, 136, 142, 154, 160, 163, 166, 177, 183, 265], "cover": [4, 5, 14, 15, 16, 18, 22, 25, 47, 58, 59, 100, 108, 113, 114, 119, 121, 122, 126, 136, 156, 160, 163, 164, 170, 173, 174, 175, 176, 193, 195, 199, 202, 222, 255], "insid": [4, 5, 6, 10, 16, 17, 18, 20, 22, 23, 45, 78, 108, 124, 169, 179, 197, 203, 207, 225, 265], "shortli": [4, 162], "html": [4, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 40, 45, 46, 52, 57, 74, 77, 84, 90, 91, 94, 100, 104, 106, 113, 114, 118, 120, 122, 138, 141, 143, 144, 158, 168, 171, 172, 175, 182, 189, 190, 192, 194, 205, 206, 232, 235, 236, 237, 239, 265], "peter": 5, "goldsborough": 5, "plethora": 5, "relat": [5, 11, 14, 52, 60, 101, 103, 113, 124, 145, 154, 174, 175, 183, 265], "algebra": [5, 14, 48, 99], "wrangl": 5, "novel": 5, "research": [5, 6, 17, 19, 23, 25, 49, 52, 60, 73, 75, 85, 99, 114, 115, 136, 138, 151, 155, 157, 172, 182, 203], "modul": [5, 7, 9, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 33, 37, 38, 39, 42, 44, 45, 47, 49, 52, 53, 55, 58, 59, 65, 66, 68, 73, 78, 79, 87, 89, 92, 94, 95, 96, 97, 98, 99, 102, 103, 105, 107, 108, 109, 110, 112, 115, 116, 117, 118, 121, 122, 123, 124, 125, 127, 128, 129, 130, 134, 136, 139, 143, 144, 145, 147, 148, 151, 153, 155, 156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 176, 177, 178, 180, 182, 183, 184, 185, 186, 187, 189, 190, 195, 196, 198, 199, 200, 201, 202, 203, 205, 208, 210, 211, 214, 216, 217, 221, 222, 223, 224, 225, 228, 229, 230, 233, 235, 236, 237, 240, 241, 242, 243, 244, 245, 250, 251, 252, 253, 254, 255, 259, 264, 265, 266], "power": [5, 6, 23, 43, 49, 57, 65, 73, 75, 87, 97, 99, 121, 123, 126, 136, 145, 147, 151, 156, 157, 159, 166, 172, 185, 189, 194, 196, 229, 265], "spare": [5, 6], "deriv": [5, 6, 10, 17, 23, 25, 43, 48, 76, 78, 99, 101, 102, 103, 110, 125, 130, 131, 142, 146, 197, 203], "express": [5, 13, 23, 95, 98, 107, 114, 124, 138, 174, 175, 193, 199, 200, 202, 211, 265], "better": [5, 6, 14, 17, 19, 21, 44, 52, 56, 61, 79, 97, 103, 109, 113, 115, 121, 126, 127, 128, 140, 145, 146, 147, 153, 155, 158, 160, 161, 166, 169, 170, 172, 174, 175, 177, 178, 183, 185, 191, 192, 197, 199, 200, 201, 202, 203, 225], "frequent": [5, 22, 23, 75, 82, 103, 123, 176, 177, 178, 193, 222], "expens": [5, 17, 97, 109, 164, 178, 185, 203], "plausibl": 5, "address": [5, 12, 18, 22, 24, 82, 136, 162, 163, 175, 177, 199, 266], "nativ": [5, 6, 8, 15, 23, 42, 55, 87, 107, 108, 119, 121, 122, 124, 137, 138, 164, 177, 178, 180, 185, 191, 194, 199, 222, 225, 240, 248], "intend": [5, 6, 8, 12, 23, 97, 123, 124, 130, 145, 148, 165, 173, 174, 175, 191, 199], "much": [5, 6, 8, 10, 12, 14, 17, 19, 23, 25, 52, 56, 73, 97, 98, 99, 103, 112, 119, 122, 125, 126, 143, 146, 147, 153, 159, 160, 163, 164, 166, 169, 170, 173, 177, 185, 191, 194, 202, 203, 220, 229, 230, 263, 265], "boilerpl": [5, 6, 19, 44, 99, 170, 191], "degre": [5, 64, 126, 166, 169, 194], "matter": [5, 135, 172, 191, 193], "organ": [5, 8, 14, 23, 51, 112, 127, 144, 150, 266], "tackl": [5, 109], "decid": [5, 6, 8, 10, 17, 18, 52, 87, 161, 176, 194, 198, 203], "contribut": [5, 52, 61, 65, 82, 111, 138, 148, 169, 177], "upstream": [5, 222], "rest": [5, 6, 14, 44, 117, 121, 137, 140, 144, 158, 160, 162, 163, 193, 200, 220, 265, 266], "chase": [5, 113], "someon": [5, 166], "fire": [5, 134], "dai": [5, 42, 103, 115, 116, 124], "head": [5, 7, 17, 21, 42, 75, 83, 109, 113, 124, 126, 134, 158, 165, 179, 195, 203], "straight": [5, 6, 23, 140, 166], "recurr": [5, 9, 44, 49, 60, 79, 81, 98, 102, 110, 121, 127, 128, 154, 166, 182, 197], "unit": [5, 6, 25, 49, 110, 122, 123, 146, 151, 157, 160, 161, 166, 172, 177, 178, 189], "superior": 5, "lstm": [5, 44, 49, 78, 79, 93, 100, 110, 119, 121, 127, 128, 164, 182, 184, 197, 230, 236, 253], "lack": [5, 15, 82, 191], "forget": [5, 6, 112, 158, 173, 190], "gate": [5, 49], "exponenti": [5, 49, 99, 101, 154, 161, 185], "elu": [5, 110], "never": [5, 7, 98, 99, 100, 103, 115, 125, 157, 167], "lltm": 5, "long": [5, 6, 7, 9, 10, 20, 23, 49, 50, 60, 78, 80, 82, 87, 98, 99, 100, 101, 103, 113, 118, 122, 125, 127, 128, 137, 138, 144, 145, 150, 154, 161, 164, 166, 169, 179, 186, 187, 197, 199, 210, 225, 233, 240, 248, 265, 266], "term": [5, 6, 15, 52, 73, 99, 100, 101, 109, 122, 124, 151, 157, 160, 175, 185, 194, 199, 200, 201, 202, 204, 265, 266], "signific": [5, 6, 9, 19, 42, 52, 58, 59, 82, 122, 130, 138, 144, 145, 146, 148, 153, 160, 165, 169, 173, 178, 205, 225, 265], "lstmcell": 5, "cell": [5, 21, 23, 25, 50, 60, 75, 80, 109, 160, 161, 165, 172, 185, 266], "plain": [5, 6, 23, 49, 127, 128, 166, 179], "input_featur": 5, "state_s": 5, "candid": [5, 145], "reset_paramet": [5, 130], "stdv": 5, "math": [5, 7, 10, 49, 63, 64, 65, 67, 68, 69, 71, 72, 85, 89, 95, 101, 104, 110, 111, 118, 127, 128, 130, 151, 159, 161, 165, 166, 269], "sqrt": [5, 7, 85, 104, 118, 130, 191, 204], "uniform_": [5, 6, 7, 9, 115, 164, 182, 197, 204], "old_h": 5, "old_cel": 5, "cat": [5, 7, 9, 20, 21, 40, 44, 48, 49, 60, 78, 90, 92, 98, 101, 102, 110, 115, 118, 128, 135, 140, 145, 150, 161, 164, 166, 170, 179, 182, 202, 231, 252], "gate_weight": 5, "split": [5, 7, 8, 9, 18, 19, 20, 21, 45, 49, 52, 60, 79, 85, 87, 98, 99, 102, 103, 113, 118, 121, 127, 128, 134, 135, 138, 143, 150, 160, 163, 164, 166, 179, 182, 183, 186, 195, 199, 200, 248], "input_g": 5, "sigmoid": [5, 6, 52, 93, 110, 180, 202, 249, 254], "output_g": 5, "tanh": [5, 6, 14, 25, 49, 52, 60, 93, 99, 110, 127, 146, 160, 166, 249], "candidate_cel": 5, "new_cel": 5, "hidden": [5, 7, 9, 21, 49, 60, 78, 97, 98, 102, 124, 126, 127, 128, 137, 143, 149, 164, 165, 166, 182, 197, 199, 236, 263], "new_h": [5, 25, 51], "rnn": [5, 9, 21, 25, 45, 49, 60, 61, 78, 79, 93, 110, 118, 121, 135, 137, 154, 163, 166, 182, 197, 201, 249], "new_c": 5, "intel": [5, 121, 136, 145, 148, 201, 208, 223, 253], "mkl": [5, 145, 240], "nnpack": 5, "why": [5, 6, 8, 11, 14, 25, 44, 52, 85, 97, 99, 103, 112, 114, 131, 134, 145, 153, 166, 173, 174, 175, 192, 194, 265], "room": [5, 97, 150, 265], "obviou": [5, 113], "knowledg": [5, 49, 52, 73, 99, 100, 114, 121, 145, 147, 265], "execut": [5, 6, 7, 8, 11, 15, 16, 20, 21, 22, 23, 25, 42, 43, 45, 50, 60, 61, 76, 78, 82, 98, 108, 120, 121, 125, 126, 135, 136, 137, 144, 145, 148, 150, 156, 160, 161, 163, 164, 165, 173, 174, 175, 177, 178, 183, 184, 186, 187, 189, 196, 205, 206, 208, 210, 225, 226, 227, 232, 255], "kernel": [5, 6, 8, 13, 17, 18, 23, 47, 83, 108, 110, 121, 139, 145, 148, 150, 154, 155, 157, 165, 166, 169, 173, 177, 178, 185, 187, 201, 203], "involv": [5, 8, 9, 15, 16, 17, 19, 23, 25, 50, 60, 85, 98, 101, 105, 112, 120, 125, 127, 133, 140, 147, 153, 164, 166, 174, 175, 183, 185, 195, 203], "launch": [5, 6, 21, 53, 61, 115, 126, 133, 134, 150, 162, 163, 164, 165, 169, 177, 208, 228], "amount": [5, 19, 25, 73, 82, 112, 124, 134, 157, 173, 185, 225], "becom": [5, 6, 11, 21, 24, 52, 61, 73, 75, 78, 85, 97, 124, 131, 146, 148, 169, 170, 177, 187, 195, 199, 255], "furthermor": [5, 19, 97, 139, 146, 170, 177, 187, 202, 226, 227], "interpret": [5, 6, 23, 25, 40, 56, 82, 85, 103, 121, 127, 128, 138, 166, 173, 174, 175, 187, 198, 231, 237, 253, 265], "slow": [5, 6, 8, 42, 123, 149, 177, 230], "down": [5, 8, 10, 11, 16, 19, 42, 50, 82, 87, 99, 104, 123, 137, 145, 146, 147, 163, 167, 170, 177, 191, 263], "therefor": [5, 6, 9, 15, 19, 49, 51, 60, 97, 108, 112, 113, 115, 120, 134, 135, 148, 151, 156, 157, 163, 164, 174, 175, 177, 193, 194, 202, 208, 225, 265], "rewrit": [5, 21, 45, 60, 107, 130, 154, 174, 175, 202, 207, 208, 255], "fuse": [5, 17, 19, 121, 145, 158, 159, 177, 178, 180, 182, 183, 185, 196, 200, 203, 208, 229, 249, 255], "group": [5, 7, 11, 16, 18, 19, 24, 49, 61, 83, 109, 113, 120, 121, 122, 123, 128, 130, 132, 134, 135, 136, 145, 169, 176, 179, 265, 266], "profit": 5, "fewer": [5, 11, 130, 146], "visibl": [5, 22, 23, 44, 87, 172, 183], "aten": [5, 8, 10, 15, 23, 42, 109, 145, 169, 174, 175, 178, 183, 186, 187, 190, 199, 200, 201, 221, 222, 228, 240, 246, 248], "translat": [5, 23, 25, 49, 60, 105, 107, 116, 118, 151, 166, 189, 193, 255], "benefit": [5, 6, 9, 17, 18, 42, 43, 85, 87, 119, 122, 142, 148, 153, 158, 165, 177, 185, 199, 203, 222], "massiv": [5, 25, 44, 101, 103, 222], "parallel": [5, 6, 11, 16, 18, 44, 46, 49, 51, 52, 55, 73, 79, 87, 112, 121, 126, 132, 136, 138, 145, 151, 160, 162, 163, 164, 176, 177, 232, 242, 249, 261], "ahead": [5, 22, 153, 170, 174, 175, 180, 190], "cpp_extens": [5, 10, 23, 156, 210, 233], "setup": [5, 6, 7, 10, 16, 19, 22, 42, 52, 53, 55, 122, 123, 126, 134, 149, 150, 153, 156, 159, 164, 185, 190, 193, 194, 206, 207, 208, 216, 233, 248], "lltm_cpp": 5, "ext_modul": [5, 10, 23, 156], "cppextens": [5, 10, 23, 156], "cmdclass": [5, 10, 23, 156], "build_ext": [5, 10, 23, 156], "buildextens": [5, 10, 23, 156], "conveni": [5, 8, 14, 22, 23, 44, 47, 49, 101, 125, 127, 128, 139, 146, 156, 160, 192, 194, 222, 255], "wrapper": [5, 6, 8, 16, 55, 112, 122, 123, 131, 137, 147, 160, 172, 198, 201, 242], "include_dir": [5, 10, 156], "include_path": 5, "manag": [5, 22, 43, 49, 61, 108, 109, 113, 120, 124, 132, 133, 134, 150, 154, 165, 169, 178, 234], "And": [5, 6, 10, 22, 23, 24, 25, 52, 101, 103, 105, 113, 131, 145, 146, 148, 151, 159, 169, 170, 173, 174, 175, 177, 178, 197, 201, 202, 215], "overal": [5, 19, 42, 49, 122, 123, 136, 150, 161, 172, 199, 202, 230], "d_sigmoid": 5, "bit": [5, 12, 15, 23, 25, 51, 68, 95, 109, 113, 117, 137, 149, 159, 160, 161, 166, 185, 191, 199, 201, 209, 230], "pybind11": [5, 8, 22, 23, 156, 233], "datatyp": [5, 23, 40, 48, 109, 222], "Its": [5, 97, 99, 195, 265], "inspect": [5, 23, 78, 97, 108, 122, 126, 144, 165, 167, 173, 174, 175, 183, 186], "notic": [5, 8, 14, 21, 22, 23, 25, 32, 42, 43, 44, 52, 60, 73, 85, 97, 99, 112, 131, 136, 145, 147, 150, 154, 155, 158, 160, 169, 173, 174, 175, 177, 178, 190, 191, 193, 197], "dispos": 5, "nvcc": 5, "workaround": [5, 7, 23, 79, 85, 131, 142], "logic": [5, 6, 11, 17, 23, 85, 98, 123, 126, 133, 135, 157, 163, 164, 172, 178, 184, 203, 204], "sigmoidalphablendforwardcuda": 5, "port": [5, 16, 136, 163], "entir": [5, 6, 14, 16, 18, 19, 25, 47, 49, 53, 60, 78, 97, 99, 102, 117, 121, 122, 123, 127, 130, 135, 143, 150, 153, 155, 157, 158, 160, 164, 166, 177, 183, 191, 192, 193, 196, 199, 200, 210, 265], "lltm_forward": 5, "addmm": [5, 6, 109, 145, 174, 190, 199, 208, 209, 221, 240], "transpos": [5, 6, 7, 12, 40, 44, 48, 49, 51, 52, 60, 90, 92, 94, 96, 110, 117, 118, 130, 145, 147, 154, 158, 161, 165, 167, 170, 174, 175, 195, 208, 231], "respect": [5, 16, 32, 34, 43, 49, 51, 52, 63, 64, 68, 69, 71, 72, 99, 101, 111, 114, 115, 124, 125, 135, 137, 142, 144, 145, 146, 155, 160, 164, 166, 169, 174, 175, 177, 178, 200, 251], "ultim": [5, 19, 49, 52, 60, 85, 191], "plop": [5, 23], "autograd": [5, 12, 13, 15, 16, 21, 25, 32, 40, 42, 46, 47, 57, 59, 61, 62, 68, 69, 77, 78, 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17, 58, 75, 90, 109, 118, 121, 137, 154, 157, 161, 165, 172, 179, 185, 191, 192, 194, 195, 198, 203, 222, 257], "type_a": [5, 118], "lltm_backward": 5, "grad_h": 5, "grad_cel": 5, "d_output_g": 5, "d_tanh_new_cel": 5, "d_new_cel": 5, "d_old_cel": 5, "d_candidate_cel": 5, "d_input_g": 5, "d_gate": 5, "d_weight": 5, "d_bia": 5, "keepdim": [5, 13, 19, 73, 123, 130, 163, 167, 183, 199, 200, 223], "d_x": [5, 52], "d_old_h": 5, "d_input": 5, "span": [5, 17, 75, 98, 134, 150, 169, 203, 266], "four": [5, 7, 14, 18, 22, 61, 67, 85, 94, 95, 108, 111, 115, 119, 122, 135, 136, 150, 170, 225, 230, 265, 266], "pybind11_modul": [5, 156], "torch_extension_nam": [5, 156], "macro": [5, 6, 8, 15, 23], "maintain": [5, 10, 14, 22, 43, 49, 61, 73, 97, 102, 108, 121, 132, 136, 147, 161, 164, 177, 178, 196], "mismatch": [5, 61, 97], "nasti": 5, "hard": [5, 6, 8, 15, 21, 99, 126, 157], "At": [5, 6, 8, 14, 15, 17, 20, 23, 43, 47, 49, 50, 85, 87, 102, 116, 122, 123, 124, 137, 142, 147, 158, 160, 161, 162, 165, 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