Currently, the roctracer for Windows is not available. This PR disables any mentions of its usage for Windows, and creates dummy functions for Windows to keep compatibility with existing code, but which warn the user about the lack of Windows' availability.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143329
Approved by: https://github.com/sraikund16
Summary:
This PR adds in cuSPARSELt as a backend to PyTorch.
It is now possible to see if cuSPARSELt is available and the version if
it is with
```
torch.backends.cusparselt.is_available()
torch.backends.cusparselt.version()
```
Test Plan:
```
python test/test_sparse_semi_structured.py -k test_cusparselt_backend
```
Reviewers:
Subscribers:
Tasks:
Tags:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/128534
Approved by: https://github.com/cpuhrsch, https://github.com/eqy, https://github.com/syed-ahmed
Another attempt to update NVTX to NVTX3. We now avoid changing NVTX header inclusion of existing code. The advantage of NVTX3 over NVTX is that it is a header-only library so that linking with NVTX3 can greatly simplify our CMake and other building scripts for finding libraries in user environments. In addition, NVTX are indeed still present in the latest CUDA versions, but they're no longer a compiled library: It's now a header-only library. That's why there isn't a .lib file anymore.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/109843
Approved by: https://github.com/peterbell10, https://github.com/eqy
Co-authored-by: Ivan Zaitsev <108101595+izaitsevfb@users.noreply.github.com>
Summary:
Expose nlohmann json library so that it can be used from inside Pytorch. The library already exists in the `third_party` directory. This PR is making `nlohmann/json.hpp` header available to be used from `torch.distributed`.
The next PR makes actual use of this header.
imported-using-ghimport
Test Plan: Imported from OSS
Reviewed By: malfet
Differential Revision: D59035246
Pulled By: c-p-i-o
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129570
Approved by: https://github.com/d4l3k, https://github.com/malfet
In the split build we end up with an incorrect RPATH for `libtorch_python.so`. This PR fixes said RPATH.
What the rpath should look like:
```
sahanp@devgpu086 ~/pytorch ((636de71c…))> objdump -p ~/main_so_files/libtorch_python.so | grep "RPATH" (pytorch-3.10)
RPATH /lib/intel64:/lib/intel64_win:/lib/win-x64:/home/sahanp/pytorch/build/lib:/home/sahanp/.conda/envs/pytorch-3.10/lib:
```
Before
```
sahanp@devgpu086 ~/pytorch ((636de71c…))> objdump -p ~/split_so_files/libtorch_python.so | grep "RPATH" (pytorch-3.10)
RPATH /home/sahanp/pytorch/torch/lib:/home/sahanp/pytorch/build/lib:
```
After
```
sahanp@devgpu086 ~/pytorch ((636de71c…))> objdump -p build/lib/libtorch_python.so | grep "RPATH" (pytorch-3.10)
RPATH /lib/intel64:/lib/intel64_win:/lib/win-x64:/home/sahanp/pytorch/build/lib:/home/sahanp/pytorch/torch/lib:/home/sahanp/.conda/envs/pytorch-3.10/lib:
```
Testing that this works is in the above PR. Similarly, after running ciflow/binaries the output of objdump -p should not change https://www.diffchecker.com/14PRmCNz/ (checked manywheel py 3.10 cuda 12.1)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129088
Approved by: https://github.com/malfet
This PR removes the second separate package we were using for the libtorch wheel.
In terms of testing that this works we will look use the PRs above this in the stack.
As for sanity checking these are the wheels that are produced by running
```
python setup.py clean && BUILD_LIBTORCH_WHL=1 with-proxy python setup.py bdist_whee
l && BUILD_PYTHON_ONLY=1 with-proxy python setup.py bdist_wheel --cmake
```
```
sahanp@devgpu086 ~/pytorch ((5f15e171…))> ls -al dist/ (pytorch-3.10)
total 677236
drwxr-xr-x 1 sahanp users 188 Jun 4 12:19 ./
drwxr-xr-x 1 sahanp users 1696 Jun 4 12:59 ../
-rw-r--r-- 1 sahanp users 81405742 Jun 4 12:19 torch-2.4.0a0+gitca0a73c-cp310-cp310-linux_x86_64.whl
-rw-r--r-- 1 sahanp users 612076919 Jun 4 12:19 libtorch-2.4.0a0+gitca0a73c-py3-none-any.whl
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127934
Approved by: https://github.com/atalman
As FindPythonInterp and FindPythonLibs has been deprecated since cmake-3.12
Replace `PYTHON_EXECUTABLE` with `Python_EXECUTABLE` everywhere (CMake variable names are case-sensitive)
This makes PyTorch buildable with python3 binary shipped with XCode on MacOS
TODO: Get rid of `FindNumpy` as its part of Python package
Pull Request resolved: https://github.com/pytorch/pytorch/pull/124613
Approved by: https://github.com/cyyever, https://github.com/Skylion007
# Motivation
According to [[1/4] Intel GPU Runtime Upstreaming for Device](https://github.com/pytorch/pytorch/pull/116019), As mentioned in [[RFC] Intel GPU Runtime Upstreaming](https://github.com/pytorch/pytorch/issues/114842), this third PR covers the changes under `libtorch_python`.
# Design
This PR primarily offers device-related APIs in python frontend, including
- `torch.xpu.is_available`
- `torch.xpu.device_count`
- `torch.xpu.current_device`
- `torch.xpu.set_device`
- `torch.xpu.device`
- `torch.xpu.device_of`
- `torch.xpu.get_device_name`
- `torch.xpu.get_device_capability`
- `torch.xpu.get_device_properties`
- ====================
- `torch.xpu._DeviceGuard`
- `torch.xpu._is_compiled`
- `torch.xpu._get_device`
# Additional Context
We will implement the support of lazy initialization in the next PR.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/116850
Approved by: https://github.com/EikanWang, https://github.com/jgong5, https://github.com/gujinghui, https://github.com/malfet
<!--
copilot:summary
-->
### <samp>🤖 Generated by Copilot at 27084ed</samp>
This pull request simplifies and cleans up the code that uses the cuDNN library for convolution, batch normalization, CTC loss, and quantized operations. It removes the unnecessary checks and conditions for older cuDNN versions and the experimental cuDNN v8 API, and ~~replaces them with the stable `cudnn_frontend` API that requires cuDNN v8 or higher. It also adds the dependency and configuration for the `cudnn_frontend` library in the cmake and bazel files.~~ Correction: The v7 API will still be available with this PR, and can still be used, without any changes to the defaults. This change simply always _builds_ the v8 API, and removes the case where _only_ the v7 API is built.
This is a re-land of https://github.com/pytorch/pytorch/pull/91527
Pull Request resolved: https://github.com/pytorch/pytorch/pull/95722
Approved by: https://github.com/malfet, https://github.com/atalman
<!--
copilot:summary
-->
### <samp>🤖 Generated by Copilot at 27084ed</samp>
This pull request simplifies and cleans up the code that uses the cuDNN library for convolution, batch normalization, CTC loss, and quantized operations. It removes the unnecessary checks and conditions for older cuDNN versions and the experimental cuDNN v8 API, and ~~replaces them with the stable `cudnn_frontend` API that requires cuDNN v8 or higher. It also adds the dependency and configuration for the `cudnn_frontend` library in the cmake and bazel files.~~ Correction: The v7 API will still be available with this PR, and can still be used, without any changes to the defaults. This change simply always _builds_ the v8 API, and removes the case where _only_ the v7 API is built.
This is a re-land of https://github.com/pytorch/pytorch/pull/91527
Pull Request resolved: https://github.com/pytorch/pytorch/pull/95722
Approved by: https://github.com/malfet
As this is the oldest gcc that is fully compatible with C++17 standard.
- Replace number of conditional version with simpler `if(CMAKE_COMPILER_IS_GNUCXX)` or `append_cxx_flag_if_supported`.
- As `-Wsuggest-override` condition was hidden before incorrect guard, add missing `override` keywords to `torch::autograd::PyFunctionTensorPostAccGradHooks::apply_with_saved` , `caffe2::python::TensorFeeder::Feed` and `cafee2::NetObserverReporterPrint::report```
Fixes https://github.com/pytorch/pytorch/issues/101839
Pull Request resolved: https://github.com/pytorch/pytorch/pull/112858
Approved by: https://github.com/Skylion007, https://github.com/albanD
