Add nbytes, itemsize, element_size to at::Tensor. #17810
Closed
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Differential Revision: D14388790 Differential Version: 74787948
umanwizard
approved these changes
Mar 11, 2019
zdevito
pushed a commit
to zdevito/ATen
that referenced
this pull request
Mar 12, 2019
Summary: Pull Request resolved: pytorch/pytorch#17810 Partially addresses #12728. Also, switch the element_size bindings to use the new function, rather than the method on Type. We don't add Python bindings yet, as they need to be special (they will be properties.) Differential Revision: D14388790 fbshipit-source-id: 294183d0c8a59b0c13f2bf21d6f1cd557333e83b
petrex
pushed a commit
to petrex/pytorch
that referenced
this pull request
Mar 14, 2019
* upstream/master: (87 commits) Make Variable::set_data non-const; cosmetic fixes. remove warning for upsample code (pytorch#17921) Optimize TileOp (pytorch#17290) Optimize channel_stats_op (pytorch#16243) enable shape inference for elementwise operators (pytorch#17885) Remove remaining test jit expects redux (pytorch#17924) Handle Scalars Better (pytorch#17875) Fixed a formatting issue in doc comments (pytorch#17505) Add nbytes, itemsize, element_size to at::Tensor. (pytorch#17810) Fix lint in test_distributions.py Fix lint in test_jit.py Fix lint errors in test_autograd Added a few extra python bindings to help with walking the IR graph from Python (pytorch#17822) kthvalue consistency with sort in the presence of NaN (pytorch#17824) Fix minor grammatical mistakes in torch/nn/modules/loss.py (pytorch#17892) Remove (almost all) TensorOptions from native_functions.yaml (pytorch#17385) Restore full Windows tests (pytorch#17102) Prevent VS2017 from emitting ambiguous symbol errors (second time) Fix windows test hang (pytorch#17778) torch.btrifact for tensors with greater than 3 dimensions (pytorch#14964) ...
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Stack:
:black_circle: #17810 Add nbytes, itemsize, element_size to at::Tensor. 💛
:white_circle: #17811 Add Python property bindings for itemsize and nbytes. 💛
Partially addresses #12728. Also, switch the element_size bindings
to use the new function, rather than the method on Type.
We don't add Python bindings yet, as they need to be special
(they will be properties.)
Differential Revision: D14388790