8000 Reversing along a dimension, similarly to numpy · Issue #95160 · pytorch/pytorch · GitHub
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dennisushi opened this issue Feb 20, 2023 · 2 comments
Open

Reversing along a dimension, similarly to numpy #95160

dennisushi opened this issue Feb 20, 2023 · 2 comments
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feature A request for a proper, new feature. module: advanced indexing Related to x[i] = y, index functions module: numpy Related to numpy support, and also numpy compatibility of our operators triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@dennisushi
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dennisushi commented Feb 20, 2023 •
edited by pytorch-bot bot
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🚀 The feature, motivation and pitch

In numpy you can reverse an array as arr[::-1] along any dimension. The same in torch raises an error: ValueError: step must be greater than zero. It would be useful if both operated the same way.

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cc @mruberry @rgommers
@janeyx99 janeyx99 added feature A request for a proper, new feature. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module module: numpy Related to numpy support, and also numpy compatibility of our operators module: advanced indexing Related to x[i] = y, index functions labels Feb 22, 2023
@dennisushi
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I can confirm that this is still not supported

@dennisushi
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>>> torch.tensor([1,2,3])[::-1]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: step must be greater than zero

I can confirm this is still not supported

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feature A request for a proper, new feature. module: advanced indexing Related to x[i] = y, index functions module: numpy Related to numpy support, and also numpy compatibility of our operators triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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