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7 Commits

Author SHA1 Message Date
Sergii Dymchenko
727ee853b4 Apply TorchFix TOR203 fixes (#143691) 
Codemodded via `torchfix . --select=TOR203 --fix`.
This is a step to unblock https://github.com/pytorch/pytorch/pull/141076
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143691
Approved by: https://github.com/malfet
 2024-12-23 18:21:03 +00:00
Xuehai Pan
c0ed38e644 [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter.

You can review these PRs via:

```bash
git diff --ignore-all-space --ignore-blank-lines HEAD~1
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129754
Approved by: https://github.com/ezyang
 2024-07-17 14:34:42 +00:00
Xuehai Pan
26f4f10ac8 [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
 2024-05-27 14:49:57 +00:00
PyTorch MergeBot
55c0ab2887 Revert "[5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126)" 
This reverts commit 7763c83af67eebfdd5185dbe6ce15ece2b992a0f.

Reverted https://github.com/pytorch/pytorch/pull/127126 on behalf of https://github.com/XuehaiPan due to Broken CI ([comment](https://github.com/pytorch/pytorch/pull/127126#issuecomment-2133044286))
 2024-05-27 09:22:08 +00:00
Xuehai Pan
7763c83af6 [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
ghstack dependencies: #127122, #127123, #127124, #127125
 2024-05-27 04:22:18 +00:00
Edward Z. Yang
dd3a77bc96 Apply UFMT to all files in benchmarks/ (#105928) 
Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105928
Approved by: https://github.com/albanD
 2023-07-26 01:18:48 +00:00
Ilia Cherniavskii
a94fb71b12 Memory profiling (#37775) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37775

Adding memory usage into profiler table output

Test Plan:
BUILD_BINARY=1 USE_BLAS=MKL USE_MKLDNN=0 USE_CUDA=0 python setup.py
develop install --cmake

```
import torch
import torchvision.models as models
model = models.resnet18()
inp = torch.randn(5, 3, 224, 224)

with torch.autograd.profiler.profile(profile_memory=True, record_shapes=True) as prof:
    model(inp)

print(prof.key_averages(group_by_input_shape=True).table(sort_by="cpu_memory_usage", row_limit=15))
```

```
---------------------------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------  -----------------------------------
Name                         Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     CPU Mem Total    Number of Calls  Input Shapes
---------------------------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------  -----------------------------------
resize_                      0.37%            577.936us        0.37%            577.936us        9.796us          339.03 Mb        59               [[0]]
empty                        0.69%            1.061ms          0.74%            1.139ms          5.556us          47.42 Mb         205              []
stride                       0.00%            0.853us          0.00%            0.853us          0.853us          19.53 Kb         1                [[5, 1000]]
empty_strided                0.01%            21.393us         0.02%            26.033us         5.207us          252 b            5                []
is_complex                   0.02%            37.425us         0.02%            37.425us         1.291us          208 b            29               [[]]
masked_select                0.04%            55.333us         0.06%            93.616us         46.808us         120 b            2                [[30], [30]]
conv2d                       0.01%            18.009us         9.62%            14.902ms         14.902ms         0 b              1                [[5, 3, 224, 224], [64, 3, 7, 7], [
convolution                  0.01%            12.436us         9.61%            14.884ms         14.884ms         0 b              1                [[5, 3, 224, 224], [64, 3, 7, 7], [
_convolution                 0.03%            52.381us         9.60%            14.871ms         14.871ms         0 b              1                [[5, 3, 224, 224], [64, 3, 7, 7], [
size                         0.00%            5.429us          0.00%            5.429us          0.339us          0 b              16               [[5, 3, 224, 224]]
contiguous                   0.00%            1.934us          0.00%            1.934us          0.967us          0 b              2                [[5, 3, 224, 224]]
_convolution_nogroup         0.02%            27.505us         9.57%            14.814ms         14.814ms         0 b              1                [[5, 3, 224, 224], [64, 3, 7, 7], [
_nnpack_available            0.02%            34.267us         0.02%            34.267us         1.713us          0 b              20               []
thnn_conv2d                  0.01%            13.274us         9.54%            14.771ms         14.771ms         0 b              1                [[5, 3, 224, 224], [64, 3, 7, 7], [
thnn_conv2d_forward          5.98%            9.264ms          19.02%           29.446ms         14.723ms         0 b              2                [[5, 3, 224, 224], [64, 3, 7, 7], [
---------------------------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------  -----------------------------------
Self CPU time total: 154.855ms
```

Reviewed By: ngimel

Differential Revision: D21384248

Pulled By: ilia-cher

fbshipit-source-id: 31359cce2aa06f6255ed1ad8c60d03cb640bfec3
 2020-05-19 15:48:48 -07:00