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first implementation of discrete time datalaoder #1

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first implementation of discrete time datalaoder #1

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1071146
first implementation of discrete time datalaoder
gonlairo Nov 9, 2024
9283b1f
add discrete time dataloader
gonlairo Jan 22, 2025
50cc6c7
add discrete time solver / dataset
gonlairo Jan 23, 2025
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2 changes: 2 additions & 0 deletions cebra/data/datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,12 +66,14 @@ def __init__(self,
neural: Union[torch.Tensor, npt.NDArray],
continuous: Union[torch.Tensor, npt.NDArray] = None,
discrete: Union[torch.Tensor, npt.NDArray] = None,
discrete_time: Union[torch.Tensor, npt.NDArray] = None,
offset: Offset = Offset(0, 1),
device: str = "cpu"):
super().__init__(device=device)
self.neural = self._to_tensor(neural, check_dtype="float").float()
self.continuous = self._to_tensor(continuous, check_dtype="float")
self.discrete = self._to_tensor(discrete, check_dtype="int")
self.discrete_time = self._to_tensor(discrete_time, check_dtype="int")
if self.continuous is None and self.discrete is None:
raise ValueError(
"You have to pass at least one of the arguments 'continuous' or 'discrete'."
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