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add support for dynamic data type in transforms #175

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Nic-Ma opened this issue Mar 15, 2020 · 1 comment
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add support for dynamic data type in transforms #175

Nic-Ma opened this issue Mar 15, 2020 · 1 comment
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WG: Transforms For the transforms working group

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@Nic-Ma
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Nic-Ma commented Mar 15, 2020

Is your feature request related to a problem? Please describe.
Need to make all transforms more flexible to handle different data types.

@wyli wyli added the WG: Transforms For the transforms working group label May 13, 2021
@wyli
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wyli commented Sep 13, 2021

closing this in favour of #2231, see also

torch.bool: np.dtype(bool),
torch.uint8: np.dtype(np.uint8),
torch.int8: np.dtype(np.int8),
torch.int16: np.dtype(np.int16),
torch.int32: np.dtype(np.int32),
torch.int64: np.dtype(np.int64),
torch.float16: np.dtype(np.float16),
torch.float32: np.dtype(np.float32),
torch.float64: np.dtype(np.float64),
torch.complex64: np.dtype(np.complex64),
torch.complex128: np.dtype(np.complex128),

@wyli wyli closed this as completed Sep 13, 2021
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