- 05 May, 2023 1 commit
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moto authored
Summary: * Remove MKL and NumPy from Conda build env * Remove `caffe2::mkl` dependency from `torch_cpu`, which introduced unnecessary and undesided dependency on Intel mac. TorchAudio does not use BLAS libraries directly, thus all the mentions to MKL should be removed from the codebase. However, this was causing an issue on Intel mac. It turned out that `torch_cpu` target is pulling `caffe2::mkl` dependency, and the linker on macOS keeps library dependency even if no symbol from that library is used. This stray mkl dependency should be fixed on core side, but also we can modify the target temporarily and remove them. Also we don't need NumPy on build/run time, so that is removed as well. Pull Request resolved: https://github.com/pytorch/audio/pull/3307 Reviewed By: atalman Differential Revision: D45606944 Pulled By: mthrok fbshipit-source-id: 853411ccbbca31796b808a2b052b4cfa564718cd
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- 01 May, 2023 1 commit
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pbialecki authored
Summary: CC atalman malfet Pull Request resolved: https://github.com/pytorch/audio/pull/3284 Reviewed By: mthrok Differential Revision: D45444670 Pulled By: atalman fbshipit-source-id: d0cf8696a99000c2b9a7e41ceeb781f5a54daeda
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- 17 Feb, 2023 1 commit
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atalman authored
Summary: Same as: https://github.com/pytorch/vision/pull/7263 Pull Request resolved: https://github.com/pytorch/audio/pull/3071 Reviewed By: weiwangmeta Differential Revision: D43377741 Pulled By: atalman fbshipit-source-id: 0dbe0aaa10b9a4bad713563e98642b1a65e9ac07
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- 01 Feb, 2023 1 commit
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Wei Wang authored
Summary: https://github.com/pytorch/pytorch/pull/93155 Core has dropped python3.7 Pull Request resolved: https://github.com/pytorch/audio/pull/3020 Reviewed By: mthrok Differential Revision: D42902346 Pulled By: weiwangmeta fbshipit-source-id: 07ab1aff0e128c5960d87e5fa29e341310dea388
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- 11 Jan, 2023 1 commit
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pbialecki authored
Summary: CC atalman Pull Request resolved: https://github.com/pytorch/audio/pull/2951 Reviewed By: mthrok Differential Revision: D42459205 Pulled By: atalman fbshipit-source-id: b2d7c5604ba1f3bb4d9a45a052ac41054acd52dd
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- 29 Sep, 2022 1 commit
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atalman authored
Summary: Cuda 10.2 deprecation, migration of unit tests from cuda 10.2 to cuda 11.6 Pull Request resolved: https://github.com/pytorch/audio/pull/2724 Reviewed By: weiwangmeta Differential Revision: D39912484 Pulled By: atalman fbshipit-source-id: e760b630375eae94384cda68d24f83ef46ada6d9
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- 28 Sep, 2022 2 commits
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atalman authored
Summary: Revert this fot now untill docker is updated Pull Request resolved: https://github.com/pytorch/audio/pull/2723 Reviewed By: nateanl Differential Revision: D39900382 Pulled By: atalman fbshipit-source-id: f8701e359bc11e8f9f3a29144f7e7da336a470da
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Andrey Talman authored
Summary: Removing cuda102 Pull Request resolved: https://github.com/pytorch/audio/pull/2715 Reviewed By: hwangjeff Differential Revision: D39823444 Pulled By: atalman fbshipit-source-id: c11d798ab86cf9a6d5ed3804958b4a0c2f8a87ff
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- 14 Sep, 2022 1 commit
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Andrey Talman authored
Summary: CUDA 11.3 Removing. Core PR: https://github.com/pytorch/pytorch/pull/84866 cc malfet ptrblck Pull Request resolved: https://github.com/pytorch/audio/pull/2670 Reviewed By: malfet, osalpekar Differential Revision: D39449263 Pulled By: atalman fbshipit-source-id: f86bb119685ead3ffcabd92c4bb8076aecde4095
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- 26 Aug, 2022 1 commit
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pbialecki authored
Summary: CC atalman Pull Request resolved: https://github.com/pytorch/audio/pull/2623 Reviewed By: hwangjeff, nateanl Differential Revision: D39036432 Pulled By: atalman fbshipit-source-id: cd74a1bf8f74e31bd2c32c80d32c617f4b1766e8
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- 25 Aug, 2022 1 commit
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Omkar Salpekar authored
Summary: Calling the reusable workflow introduced in https://github.com/pytorch/test-infra/pull/546 to build conda binaries on linux. Pull Request resolved: https://github.com/pytorch/audio/pull/2626 Reviewed By: mehtanirav Differential Revision: D39028057 Pulled By: osalpekar fbshipit-source-id: d74ea3771967d0ee2b0ad28a8f811a95145b2183
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- 12 Aug, 2022 1 commit
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Andrey Talman authored
Summary: Introducing pytorch-cuda metapackage Same as: https://github.com/pytorch/vision/pull/6371 Following PR: https://github.com/pytorch/builder/pull/1094 Adds cuda metapackage called pytorch-cuda . This way we can make sure to install correct version of cuda dependencies and don't depend on conda-forge. Pull Request resolved: https://github.com/pytorch/audio/pull/2612 Reviewed By: hwangjeff, seemethere, nateanl Differential Revision: D38633332 Pulled By: atalman fbshipit-source-id: 78a6115bb252ebdb6d66a57d7d2c4a4978ddb501
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- 21 Jul, 2022 1 commit
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Eli Uriegas authored
Summary: Updates the runner to the latest apple silicon machines we have that also run on macOS 12.4 Similar to https://github.com/pytorch/vision/pull/6290 Signed-off-by:
Eli Uriegas <eliuriegas@fb.com> Pull Request resolved: https://github.com/pytorch/audio/pull/2556 Reviewed By: atalman, mthrok Differential Revision: D37999959 Pulled By: seemethere fbshipit-source-id: 01d2ff01e48dcc0c4e33ed81758886fa19642aa3
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- 27 Jun, 2022 1 commit
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Andrey Talman authored
Summary: Fix for the cuda 11.6 and usage of cudatoolkit Pull Request resolved: https://github.com/pytorch/audio/pull/2501 Reviewed By: mthrok Differential Revision: D37388598 Pulled By: atalman fbshipit-source-id: 41add7ad6fbb3d156cc1270625dc085c62f7a531
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- 14 Jun, 2022 1 commit
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Andrey Talman authored
Summary: Adding conda builds for M1 Pull Request resolved: https://github.com/pytorch/audio/pull/2473 Reviewed By: mthrok Differential Revision: D37151454 Pulled By: atalman fbshipit-source-id: 0108b937a4c7048bd4bb03b2b5a367704d7b78cc
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- 10 Jun, 2022 1 commit
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Andrey Talman authored
Summary: Adding tagged builds for torchaudio see: https://github.com/pytorch/vision/pull/6140 Pull Request resolved: https://github.com/pytorch/audio/pull/2471 Reviewed By: hwangjeff Differential Revision: D37080828 Pulled By: atalman fbshipit-source-id: 13d754f522510514f0148ba465ce12a320058722
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- 03 Jun, 2022 1 commit
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Andrey Talman authored
Summary: Refactor M1 logic These improvement introduced in following PR: https://github.com/pytorch/vision/pull/6117 Pull Request resolved: https://github.com/pytorch/audio/pull/2438 Reviewed By: nateanl Differential Revision: D36896028 Pulled By: atalman fbshipit-source-id: 2ce360bfa78b2a7c77d5d4db800d487d171831a9
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- 02 Jun, 2022 1 commit
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Andrey Talman authored
Summary: Retrieve version from version.txt These improvement introduced in following PR: https://github.com/pytorch/vision/pull/6117 In addition to this we add version.txt file to help us manage torchaudio version Pull Request resolved: https://github.com/pytorch/audio/pull/2434 Reviewed By: mthrok Differential Revision: D36867886 Pulled By: atalman fbshipit-source-id: 14b6d653e46489d8db1c5ae2016a8202c632861e
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- 09 May, 2022 1 commit
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Andrey Talman authored
Summary: Cleanup old version of cuda115 and other legacy versions Pull Request resolved: https://github.com/pytorch/audio/pull/2374 Reviewed By: nateanl, mthrok Differential Revision: D36250955 Pulled By: atalman fbshipit-source-id: 6b7f0e2926eeb688991c939901c980428cf8e7ef
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- 06 May, 2022 1 commit
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moto authored
Summary: This commit changes the way torchaudio binary distributions are built. * For all the binary distributions (conda/pip on Linux/macOS/Windnows), build custom FFmpeg libraries. * The custom FFmpeg libraries do not use `--use-gpl` nor `--use-nonfree`, so that they stay LGPL. * The custom FFmpeg libraries employ rpath so that the torchaudio binary distributions look for the corresponding FFmpeg libraries installed in the runtime environment. * The torchaudio binary build process will use them to bootstrap its build process. * The custom FFmpeg libraries are NOT shipped. This commit also add disclaimer about FFmpeg in README. Pull Request resolved: https://github.com/pytorch/audio/pull/2355 Reviewed By: nateanl Differential Revision: D36202087 Pulled By: mthrok fbshipit-source-id: c30e5222ba190106c897e42f567cac9152dbd8ef
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- 21 Apr, 2022 1 commit
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Andrey Talman authored
Summary: CUDA 11.6 for TorchAudio Pull Request resolved: https://github.com/pytorch/audio/pull/2328 Reviewed By: mthrok Differential Revision: D35826414 Pulled By: atalman fbshipit-source-id: 0a471f0566286d69c0c73191aea7fd5ac0647e5f
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- 24 Feb, 2022 1 commit
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Andrey Talman authored
Summary: Adding py3.10 to audio Pull Request resolved: https://github.com/pytorch/audio/pull/2224 Reviewed By: malfet, atalman, mthrok Differential Revision: D34442377 Pulled By: seemethere fbshipit-source-id: 2656de73427063958d609a74c01b526a476cb06a
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- 07 Jan, 2022 1 commit
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moto authored
Summary: This commit enables ffmpeg-feature build in tests and binary builds of all platforms. (Linux/macOS/Windows x conda/wheel) It also moves the definition of BUILD_FFMPEG env vars to the top level `config.yml`. --- Manual checking if all the build log contains `libtorchaudio_ffmpeg`. ### binary build - [x] `binary_linux_conda_py3.7_cpu` - [x] `binary_linux_conda_py3.7_cu102` - [x] `binary_linux_wheel_py3.7_cpu` - [x] `binary_linux_wheel_py3.7_cu102` - [x] `binary_macos_conda_py3.7_cpu` - [x] `binary_macos_wheel_py3.7_cpu` - [x] `binary_windows_conda_py3.7_cpu` - [x] `binary_windows_conda_py3.7_cu113` - [x] `binary_windows_wheel_py3.7_cpu` - [x] `binary_windows_wheel_py3.7_cu113` ### test - [x] `unittest_linux_cpu_py3.7` - [x] `unittest_linux_gpu_py3.7` - [x] `unittest_macos_cpu_py3.7` - [x] `unittest_windows_cpu_py3.7` - [x] `unittest_windows_gpu_py3.7` - [x] `integration test` Pull Request resolved: https://github.com/pytorch/audio/pull/2140 Reviewed By: hwangjeff Differential Revision: D33464430 Pulled By: mthrok fbshipit-source-id: 2c5b72be75d49019bf1599036180d4e56074e46b
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- 04 Jan, 2022 2 commits
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moto authored
Summary: This commit enable ffmpeg-feature build on wheel-based binary distribution on macOS. For macOS, since the underlying Python env is Conda, it installs `ffmpeg` from conda. Depends on https://github.com/pytorch/audio/issues/1873 Pull Request resolved: https://github.com/pytorch/audio/pull/2122 Reviewed By: carolineechen, nateanl Differential Revision: D33409113 Pulled By: mthrok fbshipit-source-id: a73839087548010353422109b33e89e262c12a57
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moto authored
Summary: Currently, macOS CI jobs install `pkg-config` and `wget` with `brew`. This is problematic as brew takes a long time with auto-update, and disabling the auto-update is not an ideal solution. Conda also distributes these packages, so switching to conda. Example issues with brew installation. https://app.circleci.com/pipelines/github/pytorch/audio/7825/workflows/53965bcf-6ddf-4e42-ad52-83fd1bbab717 This commit removes the use of `brew` by 1. Replacing the use of `wget` with `curl` (pre-installed in most distro) 2. Install `pkg-condig` from conda. Note: All the macOS jobs, including binary build jobs, uses conda. Using `pkg-config` from Conda makes it easy to discover the packages installed from conda. (like `ffmpeg` in https://github.com/pytorch/audio/issues/2122) 3. Add `pkg-config` to conda build-time dependency 4. Make sure that the availability of `pkg-config` is explicitly checked when `sox` is being configured. (otherwise, it will fail at somewhere in the middle of build process with somewhat unintuitve error message) Pull Request resolved: https://github.com/pytorch/audio/pull/1873 Reviewed By: carolineechen, nateanl Differential Revision: D33404975 Pulled By: mthrok fbshipit-source-id: ae512d3a3a422ebfe3b46c492bed44deecc36e72
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- 11 Dec, 2021 1 commit
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Andrey Talman authored
Summary: cc peterjc123 maxluk nbcsm guyang3532 gunandrose4u smartcat2010 mszhanyi Pull Request resolved: https://github.com/pytorch/audio/pull/2067 Reviewed By: seemethere Differential Revision: D33032607 Pulled By: atalman fbshipit-source-id: a5767e9af27690d3a7ab762ddf30178b3069cd35
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- 22 Oct, 2021 1 commit
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moto authored
It seems that this is no longer necessary for recent macOS .
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- 21 Oct, 2021 1 commit
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Nikita Shulga authored
This is follow up after https://github.com/pytorch/builder/pull/823 that gets rids of `feature` and migrate it to `run_constrained`
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- 12 Oct, 2021 1 commit
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Yi Zhang authored
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- 02 Sep, 2021 1 commit
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Nikita Shulga authored
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- 31 Aug, 2021 1 commit
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Nikita Shulga authored
* Remove some obsolete conditions about CUDA-10.0 from `pkg_helpers.bash`. * Use `USE_CUDA` instead of `FORCE_CUDA` in `pkg_helpers.bash` * Do not define `NO_CUDA_PACKAGE` in build_wheel.sh and build_cuda.sh * Add conda-forge for Win cuda-11.1 builds * Pass USE_CUDA / TORCH_CUDA_ARCH_LIST to conda build * Add selected CUDA to path * Don't define USE_CUDA for ROCM TODO: Fix Windows CUDA builds
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- 31 Jul, 2021 1 commit
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Nikita Shulga authored
* Pin MKL to 2021.2.0 Fixes https://github.com/pytorch/pytorch/issues/62424 * Apply the same constraint for conda builds Use less-than-equals constraint to avoid dependency conflicts for python-3.6 environment
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- 28 Jun, 2021 1 commit
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Eli Uriegas authored
No longer needed for Python 3.9 Signed-off-by:Eli Uriegas <eliuriegas@fb.com>
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- 28 May, 2021 1 commit
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Michael Melesse authored
* add rocm binary use the term cu_version update pkg_helpers add docker wheel option update config yml add force_cuda option * update config.yml * remove conda builds
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- 25 May, 2021 1 commit
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Nikita Shulga authored
* Add CUDA binary builds * Add "cuda_version": "cpu" to doc build jobs * Add required cu_versions to pkg_helpers * Regenerate config.yml
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- 05 Mar, 2021 1 commit
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Caroline Chen authored
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- 19 Feb, 2021 1 commit
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Eli Uriegas authored
Signed-off-by:Eli Uriegas <eliuriegas@fb.com>
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- 19 Jan, 2021 1 commit
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Eli Uriegas authored
torchaudio can work with any version of pytorch so let's strip the pytorch version suffix to denote that Signed-off-by:Eli Uriegas <eliuriegas@fb.com>
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- 05 Jan, 2021 1 commit
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Vincent QB authored
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- 16 Oct, 2020 1 commit
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moto authored
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