Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/40785
The main goal of this change is to support creating Tensors specifying blob in NHWC (ChannelsLast) format.
ChannelsLast is supported only for 4-dim tensors, this is enforced on LibTorch side, I have not added asserts on java side in case that this limitation will be changed in future and not to have double asserts.
Additional changes in `aten/src/ATen/templates/Functions.h`:
`from_blob` creates `at::empty({0}, options)` tensor first and sets it Storage with sizes and strides afterwards.
But as ChannelsLast is only for 4-dim tensors - it fails on that creation, as dim==1.
I've added `zero_sizes()` function that returns `{0, 0, 0, 0}` for ChannelsLast and ChannelsLast3d.
Test Plan: Imported from OSS
Reviewed By: dreiss
Differential Revision: D22396244
Pulled By: IvanKobzarev
fbshipit-source-id: 02582d748a554e0f859aefe71cd2c1e321fb8979
Summary:
These were returning incorrect data before. Now we make a contiguous copy
before converting to Java. Exposing raw data to the user might be faster in
some cases, but it's not clear that it's worth the complexity and code size.
Test Plan: New unit test.
Reviewed By: IvanKobzarev
Differential Revision: D19221361
fbshipit-source-id: 22ecdad252c8fd968f833a2be5897c5ae483700c
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31584
These were returning incorrect data before.
Test Plan: New unit test.
Reviewed By: IvanKobzarev
Differential Revision: D19221360
fbshipit-source-id: b3f01de086857027f8e952a1c739f60814a57acd
Summary: These are valid tensors.
Test Plan: New unit test.
Reviewed By: IvanKobzarev
Differential Revision: D19221362
fbshipit-source-id: fa9af2fc539eb7381627b3d473241a89859ef2ba
