- 10 Oct, 2022 1 commit
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Andrey Talman authored
* Test against torch RC instead of nightly Fix prev commit * Bump version to build against Use UPLOAD_CHANNEL instead of hardcoding
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- 28 Sep, 2022 1 commit
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Andrey Talman authored
* Removing cuda 102 Display cuda info Address comments try to resolve CUDA version issue More work Base debugging Fix cuda version passing Testing Adding config.yml Adding command we use for pytorch vision install Adding unit tests Modify install command Refactor config.in Move cpu tests to different PR Remove debug code Testing similar exception for linux as windows update test_models.py Revert "Testing similar exception for linux as windows" This reverts commit 4aaee0b56376440bb56ecd3efe25b60595a241a5. Revert "update test_models.py" This reverts commit 413651a308f68b6801681ddfc2c21201c4df3207. * Removing debug statement * Reverting to old command
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- 14 Sep, 2022 1 commit
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Andrey Talman authored
Fix cuda 11.6 and 11.7 Check nvjpeg from CONDA Path More cuda11.6 Trying to fix the build Trying to fix the build Removing nvjpeg logic Add NvToolsExt dll path Fix lint
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- 25 Aug, 2022 1 commit
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ptrblck authored
* add CUDA11.7 builds * add CUDA 11.7 builds * run regenerate.py * try to add filters to binary_win_conda_py3.10_cu117 * rerun regenerate.py * Removing conda-forge adding cu117 to windows unit tests * Debug code * Remove debug code Co-authored-by:atalman <atalman@fb.com>
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- 12 Aug, 2022 1 commit
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Andrey Talman authored
* Testing conda metapackage * Testing * Testing pytorch-cuda * Testing * Testing * Testing * Testing * Testing * Using new metapackage * Testing * Simplifing logic * Further simplifying
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- 26 Jul, 2022 1 commit
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Eli Uriegas authored
Co-authored-by:
Nicolas Hug <contact@nicolas-hug.com> Co-authored-by:
Vasilis Vryniotis <datumbox@users.noreply.github.com>
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- 20 Jun, 2022 1 commit
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Andrey Talman authored
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- 09 Jun, 2022 1 commit
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Andrey Talman authored
* Adding tagged builds * Testing * Testing * Testing * Testing * Adding conda builds
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- 02 Jun, 2022 1 commit
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Nikita Shulga authored
* [BE] Unify version computation Instead of hardcoding dev version in various script, use one from `version.txt` if `setup_build_version` is called without arguments Also, pass `--pre` option to M1 build/test pip install commands to build TorchVision against nightly pytorch * Pin torchvision dependency to a specific pytorch version
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- 09 May, 2022 1 commit
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Andrey Talman authored
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- 21 Apr, 2022 1 commit
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Andrey Talman authored
Co-authored-by:
Nikita Shulga <nshulga@fb.com> Co-authored-by:
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- 20 Feb, 2022 1 commit
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Nikita Shulga authored
* Add Python-3.10 (build and test) * Fix functional.adjust_gamma Co-authored-by:
Joao Gomes <joaopsgomes@gmail.com>
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- 07 Jan, 2022 1 commit
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Vasilis Vryniotis authored
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- 09 Dec, 2021 1 commit
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Andrey Talman authored
* Add CUDA-11.5 builds to torchvision * Try to fix cudatoolkit issue * Trying to use cuda11.5 instead of the toolkit * Trying to rollback last two changes * Testing * Using conda-forge only for cuda115 builds * Fix typo
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- 16 Nov, 2021 1 commit
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Nikita Shulga authored
Cherry-pick pkg_helper changes from https://github.com/pytorch/audio/commit/0f8443050bd6ce402f939ef6876fccf1a2dacf16 (#4944) Add CUDA_HOME to PATH to fix Cmake builds Define `FORCE_CUDA` only when CUDA_PATH is present (or if RocM)
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- 20 Oct, 2021 1 commit
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Nikita Shulga authored
* Move TorchVision conda package to use pytorch-mutex This is follow up after https://github.com/pytorch/builder/pull/823 that gets rids of `feature` and migrate it to `run_constrained` * Update packaging/torchvision/meta.yaml Co-authored-by:
Eli Uriegas <1700823+seemethere@users.noreply.github.com> * Update packaging/torchvision/meta.yaml Co-authored-by:
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- 06 Aug, 2021 1 commit
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Nikita Shulga authored
* Add CUDA-11.3 builds to torchvision Also mark `.cicrleci/config.yml` as autogenerated in `.gitattributes` * Add CUDA-11.3 install steps for Windows * And here as well
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- 09 Jul, 2021 1 commit
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Nikita Shulga authored
* Do not install lame when building torchvision It is needed only for ffmpeg integration, which is disabled anyway * Also upgrade setuptool To update pkg_resources.packaging to version 20.0+
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- 21 Jun, 2021 1 commit
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Eli Uriegas authored
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- 15 Jun, 2021 1 commit
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Eli Uriegas authored
* packaging: Remove special versioning priveleges Adds a version suffix for CUDA 10.2 for ease of installing when installing from download.pytorch.org Signed-off-by:
Eli Uriegas <eliuriegas@fb.com> * also include windows cmath fix Signed-off-by:
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- 30 Mar, 2021 1 commit
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Nicolas Hug authored
* trying stuff * Put flags back? * remove second one just to see * It worked but it's because it's not built by CI. Trying another one * Try using TORCH_CUDA_ARCH_LIST instead * oops * Add new env variable to build/script_env * set TORCH_CUDA_ARCH_LIST for the rest of the CUDA versions * don't pass NVCC_FLAGS venv to conda, let's see if it works Co-authored-by:Francisco Massa <fvsmassa@gmail.com>
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- 22 Mar, 2021 1 commit
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Jeff Daily authored
* add ROCm binary wheels * fix lint error Co-authored-by:
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- 22 Feb, 2021 1 commit
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Eli Uriegas authored
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- 12 Feb, 2021 1 commit
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Eli Uriegas authored
(cherry picked from commit 2f40a483d73018ae6e1488a484c5927f2b309969) Signed-off-by:
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- 25 Jan, 2021 1 commit
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Vasilis Vryniotis authored
Co-authored-by:
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- 27 Oct, 2020 1 commit
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Eli Uriegas authored
This was a mistake since version suffix should always be appended Signed-off-by:
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- 21 Oct, 2020 1 commit
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moto authored
Co-authored-by:
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- 16 Oct, 2020 1 commit
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Eli Uriegas authored
ROCM builds were being picked up for CUDA 10.2 builds since they do not specify a version suffix. We can utilize the CU_VERSION to be specific about which index to actually pull from. Signed-off-by:
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- 14 Oct, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
* [DEBUG] Check wheel relocation issues * Call delocate on Mac * Use yum instead of conda * Do not copy ffmpeg dylibs * Linux dry run * Do not download FFmpeg on Mac * Install bzip2 * Restore FFmpeg on Windows * Remove ffmpeg temporarily * Do not remove dependencies * Disable FFmpeg temporarily on Linux wheels * Test relocation in Linux * Add docstring * Call relocation script * Minor error correction * Import auditwheel only on Linux * Restore ffmpeg again on Windows * Return *device * Try fix Windows * Fix clang-format * Start windows patchwork * Copy all DLLs * Disable FFmpeg on Windows for now * Bugfix Co-authored-by:
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- 06 Oct, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
* Add PyTorch FFmpeg to wheel and conda distributions * Try to install wget from conda * Add yq flag on Mac * Correct copy instructions * Use cURL on Windows * Call bzip2 directly due to msys2/MSYS2-packages#1548 * Copy ffmpeg binaries to system-wide directories * Try to use std:c++17 on Windows * Try to define ssize_t on Windows * Use C++14 * Declare AVRational structs explicitly * Initialize AVRational explicitly * Replace macro to prevent errors on Windows * Replace AV_TIME_BASE_Q * Add library paths for video extension * Force ffmpeg from pytorch channels? * Fix clang style warnings * Update CONDA_CHANNEL_FLAGS * Fix clang style issues * Update unittest * Use FFmpeg 4.2 * Install correct version on Mac * Pin av version to 8.0.0 * Fix string formatting issue * Fix pip pinning * Try with 8.0.1 * Use av 8.0.2 * Remove trailling whitespaces * Disable test_io_opt.py * Disable test_datasets_video_utils Co-authored-by:
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- 14 Sep, 2020 2 commits
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peterjc123 authored
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Edgar Andrés Margffoy Tuay authored
* Add CMake build pipeline * Add CMake build workflow * Add executable permissions to script * Install cmake on Windows/MacOS * Install conda-build before setting up MSVC * Install PyTorch from nightly * Do not use conda-build variables * Add path to CMake * Install libpng and libjpeg * Perform make * Call msbuild on Windows * Add missing yq * Use vc_env_helper * Use string instruction * Escape configuration option * Remove configuration flag * Try to pass -p * Use caret to escape equal sign * Escape string option in Windows * Try to call other bat * Remove Windows/GPU CMake * Add tracing cpp test * Script model instead of tracing it * Try to register operators manually * Use manylinux-cuda102 * Activate conda env on Linux * Build and run sample tracing test * Add empty echo * Remove unnecessary register * Copy headers on Mac * Revert to 2xlarge * Include /usr/local/include on Mac * Install pillow on Windows * Install future * Install torchvision on Windows * Set include flag * Add torchlib to PATH * Normalize path via cygpath * Register ops on Windows * Minor error correction * Register CPU/GPU ops on DLL library and register ops via reference * Install dataclasses * Install dataclasses using pip * Address clang formatting issue * Try to use an actual GPU instance on Linux * Remove extra environment section * Declare environment explicitly * Regenerate * Pass env variables to Dokcer * Regenerate circleci * Test tracing on GPU * Use GPU medium * Regenerate * Use cuda101 * Regenerate * Do not use pre-trained weights Avoids having to download pretrained files, which could cause flaky tests Co-authored-by:
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- 08 Jul, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Enable JPEG support using libjpeg directly * Install libjpeg-turbo8 on Travis * Fix styling issues * Do not append to paths if library found in standard library locations * Add macro flag * Use custom error handler * Use 3? * Use short-lived buffer * Return TRUE instead of true * Assert RuntimeError * Use .jpg extension * Remove conda-forge * Use data_ptr instead of accessor * Use assertTrue for jpeg verification * Remove unnecessary memcpy * Debug test on Windows * Remove PIL from jpeg verification Co-authored-by:Ryad ZENINE <r.zenine@gmail.com>
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- 03 Jul, 2020 1 commit
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Francisco Massa authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Remove JPEG-related code * Remove installation references to turbojpeg * Remove further references to turbojpeg * Fix c++ style issues * Fix c++ style issues * Fix libpng-config include flag parsing * Remove conda-forge * Remove include dirs from main extension * Do not pass extra include and library paths to main torchvision extension * Add libpng to environment.yml * Remove inexistent imports * Add instructions regarding environment variables to README * Fix image extension tests * Add libpng to environment + test fixes * Minor improvements * Remove unused Py2 code * Add stub comments to prevent deletion while merging * Reintroduce files in order to prevent deletion during merge * Remove unwanted merge sections * Restore libpng conda installation on wheel distributions * Restore comment * Fix libpng discovery on Windows * Fix PEP8 style issues * Add linking flag on Windows * Remove parenthesis * Restore libpng during runtime Co-authored-by:
Edgar Andrés Margffoy Tuay <andfoy@gmail.com> Co-authored-by:
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- 02 Jul, 2020 2 commits
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Francisco Massa authored
This reverts commit c1a99b7b.
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Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 * Remove JPEG-related code * Remove installation references to turbojpeg * Remove further references to turbojpeg * Fix c++ style issues * Fix c++ style issues * Fix libpng-config include flag parsing * Remove conda-forge * Remove include dirs from main extension * Do not pass extra include and library paths to main torchvision extension * Add libpng to environment.yml * Remove inexistent imports * Add instructions regarding environment variables to README Co-authored-by:
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- 01 Jul, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
This reverts commit 766721b1.
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- 30 Jun, 2020 1 commit
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Edgar Andrés Margffoy Tuay authored
* Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Add PNG reading capabilities * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Add PNG reading capabilities * Add libpng requirement into conda recipe * Try to install libjpeg-turbo * Remove newline * Add image extension to compilation instructions * Include png functions as part of the main library * Update CMakeLists * Detect if building on conda-build * Debug * More debug messages * Print globbed libreries * Print globbed libreries * Point to correct PNG path * Remove libJPEG preventively * Debug extension loading * Link libpng explicitly * Link with PNG * Install libpng on conda-based wheel distributions * Add -y flag * Add -y flag to yum * Locate LibPNG on windows conda * Remove empty else * Copy libpng16.so * Copy dylib on Mac * Improve check on Windows * Try to install ninja using conda on windows * Use libpng on Windows * Package lib on windows wheel * Point library to the correct place * Include binaries as part of wheel * Copy libpng.so on linux * Look for png.h on Windows when using conda-build * Do not skip png tests on Mac/Win * Restore libjpeg-turbo * Install jpeg-turbo on wheel distributions * Install libjpeg-turbo from conda-forge on wheel distributions * Do not pull av on conda-build * Add pillow disclaimer * Vendors libjpeg-turbo 2.0.4 * Merge JPEG work * Remove submodules * Regenerate circle config * Fix style issues * Fix C++ style issues * More style corrections * Add JPEG-turbo to linking libraries * More style corrections * More style corrections * More style corrections * Install libjpeg-turbo-devel * Install libturbo-jpeg on typing pipeline * Update Circle template * Windows and Unix turbojpeg have the same linking name * Install turbojpeg-devel instead of libjpeg-turbo * Copy TurboJPEG binaries to wheel * Move test image * Move back test image * Update JPEG test path * Remove dot from extension * Move image functions to extension * Use stdout arg in subprocess * Disable image extension if libpng or turbojpeg are not found * Append libpng stdout * Prevent list appending on lists * Minor path correction * Minor error correction * Add linking flags * Style issues correction * Address minor review corrections * Refactor library search * Restore access index * Fix JPEG tests * Update libpng version in Travis * Add -y flag * Remove dot * Update libpng using apt * Check libpng version * Change libturbojpeg binary * Update import * Change call * Restore av in conda recipe * Minor error correction * Remove unused comment in travis.yml * Update README * Fix missing links * Remove fixes for 16.04 Co-authored-by:
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- 29 Jun, 2020 1 commit
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Eli Uriegas authored
* .circleci: Add workflows to run on tag Signed-off-by:
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- 30 May, 2020 1 commit
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peterjc123 authored
* Fix binary builds with CUDA 9.2 on Windows * Remove packages according to VC_YEAR
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