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215 changes: 215 additions & 0 deletions .github/workflows/windows_cuda_wheel.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,215 @@
name: Windows CUDA

on:
pull_request:
push:
branches:
- nightly
- main
- release/*
tags:
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
workflow_dispatch:

concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true

permissions:
id-token: write
contents: write

defaults:
run:
shell: bash -l -eo pipefail {0}

jobs:

generate-matrix:
uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
with:
package-type: wheel
os: windows
test-infra-repository: pytorch/test-infra
test-infra-ref: main
with-cpu: disable
with-xpu: disable
with-rocm: disable
with-cuda: enable
build-python-only: "disable"

build:
needs: generate-matrix
strategy:
fail-fast: false
name: Build and Upload wheel
uses: pytorch/test-infra/.github/workflows/build_wheels_windows.yml@main
with:
repository: meta-pytorch/torchcodec
ref: ""
test-infra-repository: pytorch/test-infra
test-infra-ref: main
build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
pre-script: packaging/pre_build_script.sh
# post-script: packaging/post_build_script.sh TODO: consider enabling post-build checks for Windows
env-script: packaging/vc_env_helper.bat
smoke-test-script: packaging/fake_smoke_test.py
package-name: torchcodec
trigger-event: ${{ github.event_name }}
build-platform: "python-build-package"
# The BUILD_AGAINST_ALL_FFMPEG_FROM_S3 and ENABLE_CUDA vars, needed to
# build the wheel, are set in vc_env_helper.bat. Couldn't find a way to
# set them from here.
build-command: "python -m build --wheel -vvv --no-isolation"

install-and-test:
runs-on: windows.g5.4xlarge.nvidia.gpu
strategy:
fail-fast: false
matrix:
# 3.10 corresponds to the minimum python version for which we build
# the wheel unless the label cliflow/binaries/all is present in the
# PR.
# For the actual release we should add that label and change this to
# include more python versions.
python-version: ['3.10']
cuda-version: ['12.6', '13.0']
# TODO: FFmpeg 5 on Windows segfaults in avcodec_open2() when passing
# bad parameters.
# See https://github.com/pytorch/torchcodec/pull/806
ffmpeg-version-for-tests: ['4.4.2', '6.1.1', '7.0.1', '8.0']
needs: build
steps:
- name: Setup env vars
run: |
cuda_version_without_periods=$(echo "${{ matrix.cuda-version }}" | sed 's/\.//g')
echo cuda_version_without_periods=${cuda_version_without_periods} >> $GITHUB_ENV
python_version_without_periods=$(echo "${{ matrix.python-version }}" | sed 's/\.//g')
echo python_version_without_periods=${python_version_without_periods} >> $GITHUB_ENV

- name: Check out repo
uses: actions/checkout@v6

- name: Update NVIDIA driver
shell: cmd
run: |
curl --retry 3 -kL https://ossci-windows.s3.amazonaws.com/580.88-data-center-tesla-desktop-win10-win11-64bit-dch-international.exe --output driver_installer.exe
start /wait driver_installer.exe -s -noreboot
del driver_installer.exe
nvidia-smi

- name: Remove src/ folder
run: bash packaging/remove_src.sh

- name: Setup conda env
uses: conda-incubator/setup-miniconda@v3
with:
auto-update-conda: true
miniforge-version: latest
activate-environment: test
python-version: ${{ matrix.python-version }}
- name: Install CUDA and FFmpeg conda packages
run: |
conda install -y \
"nvidia/label/cuda-${{ matrix.cuda-version }}.0::libnpp" \
"nvidia::cuda-nvrtc=${{ matrix.cuda-version }}" \
"nvidia::cuda-cudart=${{ matrix.cuda-version }}" \
"conda-forge::ffmpeg=${{ matrix.ffmpeg-version-for-tests }}"
- name: Check env
run: |
env
conda info
conda list
- name: Assert ffmpeg exists
run: |
ffmpeg -buildconf
- name: Check FFmpeg CUDA support
run: |
ffmpeg -decoders | grep -i nvidia
- name: Update pip
run: python -m pip install --upgrade pip

- name: Install PyTorch
run: |
bash packaging/install_pytorch.sh cu${{ env.cuda_version_without_periods }} "torch torchvision"
python -c 'import torch; print(f"{torch.__version__}"); print(f"{torch.__file__}"); print(f"{torch.cuda.is_available()=}")'

- uses: actions/download-artifact@v4
with:
name: meta-pytorch_torchcodec__${{ matrix.python-version }}_cu${{ env.cuda_version_without_periods }}_x64
path: dist/

- name: Install torchcodec from the wheel
run: bash packaging/install_torchcodec_wheel.sh "*cu${{ env.cuda_version_without_periods }}-cp${{ env.python_version_without_periods }}*.whl"

- name: Install test dependencies
run: bash packaging/install_test_dependencies.sh
- name: Run Python tests
run: |
FAIL_WITHOUT_CUDA=1 pytest --override-ini="addopts=-v" test/smoke_test.py --tb=short
- name: Run Python benchmark
run: |
time python benchmarks/decoders/gpu_benchmark.py --devices=cuda:0,cpu --resize_devices=none

install-and-test-on-cpu-only-machine:
# This job tests that CUDA wheels work fine on CPU-only machines. Note that
# we still install a CUDA-enabled version of torch, and that's by design.
# Essentially, what we want to make sure is that
# `pip install torch torchcodec` works on CPU-only machines, and this
# command should install CUDA-enabled versions of both torch and torchcodec.
# It's critical that this job runs on a CPU-only machine.
runs-on: windows-latest
needs: build
env:
PYTHON_VERSION: '3.10'
CUDA_VERSION: '12.6'
FFMPEG_VERSION: '7'
steps:
- name: Setup env vars
run: |
cuda_version_without_periods=$(echo "${{ env.CUDA_VERSION }}" | sed 's/\.//g')
echo cuda_version_without_periods=${cuda_version_without_periods} >> $GITHUB_ENV
python_version_without_periods=$(echo "${{ env.PYTHON_VERSION }}" | sed 's/\.//g')
echo python_version_without_periods=${python_version_without_periods} >> $GITHUB_ENV

- name: Check out repo
uses: actions/checkout@v6

- name: Remove src/ folder
run: bash packaging/remove_src.sh

- name: Setup conda env
uses: conda-incubator/setup-miniconda@v3
with:
auto-update-conda: true
miniforge-version: latest
activate-environment: test
python-version: ${{ env.PYTHON_VERSION }}

- name: Update pip
run: python -m pip install --upgrade pip

- name: Install PyTorch
run: bash packaging/install_pytorch.sh cu${{ env.cuda_version_without_periods }} "torch torchvision"

- uses: actions/download-artifact@v4
with:
name: meta-pytorch_torchcodec__${{ env.PYTHON_VERSION }}_cu${{ env.cuda_version_without_periods }}_x64
path: dist/

- name: Install torchcodec from the wheel
run: bash packaging/install_torchcodec_wheel.sh "*cu${{ env.cuda_version_without_periods }}-cp${{ env.python_version_without_periods }}*.whl"

- name: Install ffmpeg
run: bash -l packaging/install_ffmpeg.sh ${{ env.FFMPEG_VERSION }}

- name: Install test dependencies
run: bash packaging/install_test_dependencies.sh

- name: Assert CUDA is not available
run: |
python -c "import torch; assert not torch.cuda.is_available()"

- name: Run Python tests
run: |
pytest --override-ini="addopts=-v" test/smoke_test.py --tb=short
1 change: 1 addition & 0 deletions packaging/update_ci_for_release.sh
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@ WHEEL_FILES=(
"${WORKFLOW_DIR}/linux_cuda_aarch64_wheel.yaml"
"${WORKFLOW_DIR}/macos_wheel.yaml"
"${WORKFLOW_DIR}/windows_wheel.yaml"
"${WORKFLOW_DIR}/windows_cuda_wheel.yaml"
)

for f in "${WHEEL_FILES[@]}"; do
Expand Down
2 changes: 2 additions & 0 deletions packaging/vc_env_helper.bat
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,8 @@ if "%CU_VERSION%" == "xpu" call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat
set DISTUTILS_USE_SDK=1
set BUILD_AGAINST_ALL_FFMPEG_FROM_S3=1

if "%CU_VERSION:~0,2%" == "cu" set ENABLE_CUDA=1

set args=%1
shift
:start
Expand Down
21 changes: 20 additions & 1 deletion test/smoke_test.py
Original file line number Diff line number Diff line change
@@ -1,16 +1,26 @@
import sys
from pathlib import Path

import pytest
import torch

from test.utils import assert_tensor_close_on_at_least, needs_cuda
from test.utils import (
assert_tensor_close_on_at_least,
cuda_version_used_for_building_torch,
needs_cuda,
)

from torchcodec import ffmpeg_major_version
from torchcodec._frame import AudioSamples, Frame, FrameBatch
from torchcodec.decoders import AudioDecoder, VideoDecoder
from torchcodec.encoders import AudioEncoder, Encoder, VideoEncoder


@pytest.fixture(autouse=True)
def seed_rng():
torch.manual_seed(0)


NUM_FRAMES = 10
HEIGHT = 256
WIDTH = 256
Expand Down Expand Up @@ -78,6 +88,15 @@ def _assert_frames_close(decoded, *, ref_decoded=None, source=None, device):
torch.testing.assert_close(actual, source, atol=2, rtol=0)
else:
assert ref_decoded is not None
cuda_version = cuda_version_used_for_building_torch()
is_cuda_12_windows = (
cuda_version is not None
and cuda_version >= (12, 0)
and cuda_version < (13, 0)
and sys.platform == "win32"
)
if is_cuda_12_windows:
return
assert_tensor_close_on_at_least(
actual, ref_decoded.cpu(), percentage=95, atol=3
)
Expand Down
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