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10 Commits

Author SHA1 Message Date
cyy
4a019047ad Enable nested namespace check in clang-tidy (#118506) 
It is time to enable nested namespaces in the code.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/118506
Approved by: https://github.com/albanD
 2024-01-31 00:32:35 +00:00
cyy
77f2883c41 [Reland2] fix missing-prototypes warnings in torch_cpu (Part 4) (#102228) 
This PR relands the changes introduced in PR https://github.com/pytorch/pytorch/pull/100849. The old PR turnd nnc_* functions into  static. We now add declarations for them and hope that inter builds will pass.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/102228
Approved by: https://github.com/albanD
 2023-06-02 22:04:44 +00:00
PyTorch MergeBot
32ce06a5ab Revert "[Reland] fix missing-prototypes warnings in torch_cpu (Part 4) (#101949)" 
This reverts commit 4f2c007a1b.

Reverted https://github.com/pytorch/pytorch/pull/101949 on behalf of https://github.com/osalpekar due to As noted in @izaitsevfb's comment, we are still seeing linker errors, this time due to `nnc_prepacked_linear_clamp_run` being made a static function. ([comment](https://github.com/pytorch/pytorch/pull/101949#issuecomment-1560226880))
 2023-05-23 22:53:47 +00:00
cyy
4f2c007a1b [Reland] fix missing-prototypes warnings in torch_cpu (Part 4) (#101949) 
This PR relands the changes introduced in PR #100849. The old PR turnd  nnc_aten_embedding  into a static function, however, it is actually used in torch/csrc/jit/tensorexpr/operators/misc.cpp.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/101949
Approved by: https://github.com/albanD
 2023-05-22 10:53:07 +00:00
PyTorch MergeBot
498c34e8e8 Revert " fix missing-prototypes warnings in torch_cpu (Part 4) (#100849)" 
This reverts commit c2f28d1c1d.

Reverted https://github.com/pytorch/pytorch/pull/100849 on behalf of https://github.com/izaitsevfb due to fails internal Meta builds, including fbcode and android, see D46009888: ld.lld: error: undefined symbol: nnc_aten_embedding ([comment](https://github.com/pytorch/pytorch/pull/100849#issuecomment-1555105800))
 2023-05-19 19:05:15 +00:00
cyy
c2f28d1c1d fix missing-prototypes warnings in torch_cpu (Part 4) (#100849) 
This PR fixes more missing-prototypes violations in the torch_cpu source following PRs #100053, #100147 and #100245

Pull Request resolved: https://github.com/pytorch/pytorch/pull/100849
Approved by: https://github.com/albanD
 2023-05-18 03:49:45 +00:00
Jing Xu
f20e4eab7b Fix ITT unit-tests if PyTorch is compiled with USE_ITT=OFF (#86199) 
Fixes https://github.com/pytorch/pytorch/pull/84848#discussion_r986329680

@malfet @slgong-fb
Pull Request resolved: https://github.com/pytorch/pytorch/pull/86199
Approved by: https://github.com/malfet
 2022-10-04 21:57:05 +00:00
Jing Xu
3c7044728b Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIs (ITT) to PyTorch (#63289) 
More detailed description of benefits can be found at #41001. This is Intel's counterpart of NVidia’s NVTX (https://pytorch.org/docs/stable/autograd.html#torch.autograd.profiler.emit_nvtx).

ITT is a functionality for labeling trace data during application execution across different Intel tools.
For integrating Intel(R) VTune Profiler into Kineto, ITT needs to be integrated into PyTorch first. It works with both standalone VTune Profiler [(https://www.intel.com/content/www/us/en/developer/tools/oneapi/vtune-profiler.html](https://www.intel.com/content/www/us/en/developer/tools/oneapi/vtune-profiler.html)) and Kineto-integrated VTune functionality in the future.
It works for both Intel CPU and Intel XPU devices.

Pitch
Add VTune Profiler's ITT API function calls to annotate PyTorch ops, as well as developer customized code scopes on CPU, like NVTX for NVidia GPU.

This PR rebases the code changes at https://github.com/pytorch/pytorch/pull/61335 to the latest master branch.

Usage example:
```
with torch.autograd.profiler.emit_itt():
    for i in range(10):
        torch.itt.range_push('step_{}'.format(i))
        model(input)
        torch.itt.range_pop()
```

cc @ilia-cher @robieta @chaekit @gdankel @bitfort @ngimel @orionr @nbcsm @guotuofeng @guyang3532 @gaoteng-git
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63289
Approved by: https://github.com/malfet
 2022-07-13 13:50:15 +00:00
PyTorch MergeBot
1454515253 Revert "Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIs (ITT) to PyTorch (#63289)" 
This reverts commit f988aa2b3f.

Reverted https://github.com/pytorch/pytorch/pull/63289 on behalf of https://github.com/malfet due to broke trunk, see f988aa2b3f
 2022-06-30 12:49:41 +00:00
Jing Xu
f988aa2b3f Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIs (ITT) to PyTorch (#63289) 
More detailed description of benefits can be found at #41001. This is Intel's counterpart of NVidia’s NVTX (https://pytorch.org/docs/stable/autograd.html#torch.autograd.profiler.emit_nvtx).

ITT is a functionality for labeling trace data during application execution across different Intel tools.
For integrating Intel(R) VTune Profiler into Kineto, ITT needs to be integrated into PyTorch first. It works with both standalone VTune Profiler [(https://www.intel.com/content/www/us/en/developer/tools/oneapi/vtune-profiler.html](https://www.intel.com/content/www/us/en/developer/tools/oneapi/vtune-profiler.html)) and Kineto-integrated VTune functionality in the future.
It works for both Intel CPU and Intel XPU devices.

Pitch
Add VTune Profiler's ITT API function calls to annotate PyTorch ops, as well as developer customized code scopes on CPU, like NVTX for NVidia GPU.

This PR rebases the code changes at https://github.com/pytorch/pytorch/pull/61335 to the latest master branch.

Usage example:
```
with torch.autograd.profiler.emit_itt():
    for i in range(10):
        torch.itt.range_push('step_{}'.format(i))
        model(input)
        torch.itt.range_pop()
```

cc @ilia-cher @robieta @chaekit @gdankel @bitfort @ngimel @orionr @nbcsm @guotuofeng @guyang3532 @gaoteng-git
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63289
Approved by: https://github.com/malfet
 2022-06-30 05:14:03 +00:00