`np.concatenate` with equivalent implementation for torch (`torch.cat`).
(to_cat: Sequence[NdarrayOrTensor], axis: int = 0, out=None)
| 310 | |
| 311 | |
| 312 | def concatenate(to_cat: Sequence[NdarrayOrTensor], axis: int = 0, out=None) -> NdarrayOrTensor: |
| 313 | """`np.concatenate` with equivalent implementation for torch (`torch.cat`).""" |
| 314 | if isinstance(to_cat[0], np.ndarray): |
| 315 | return np.concatenate(to_cat, axis, out) # type: ignore |
| 316 | return torch.cat(to_cat, dim=axis, out=out) # type: ignore |
| 317 | |
| 318 | |
| 319 | def cumsum(a: NdarrayOrTensor, axis=None, **kwargs) -> NdarrayOrTensor: |
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