tree 8c9d9dc6eb5179abfd37b62d5a0ad5f3bcbba090
parent baf8488dbd3ba3c4ae9637b46a05f3e8289e5367
author Vitaly Fedyunin <vitalyf@fb.com> 1572013612 -0700
committer Facebook Github Bot <facebook-github-bot@users.noreply.github.com> 1572013744 -0700

Add memory format support to `full_like` operator (#27262)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27262

Adds memory_format keyword argument (positional for cpp).

'Preserve' behavior now follows next rules:
1) If tensor is non-overlapping and dense - output tensor will have the same strides as input tensor.
2) If not (1) and tensor is stored in the channels last format, output tensor going to have channels last format.
3) Output tensor is going to be contiguous in all other cases.

 ---
Dense tensor is the tensor that store values in a contiguous block of memory.
Non-overlapping tensor is the tensor in which elements occupy individual non-repetitive memory.

Test Plan: Imported from OSS

Differential Revision: D17980309

Pulled By: VitalyFedyunin

fbshipit-source-id: 1761a9939aa7c5ab23e927b897e25e225089a8e7