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Will split intel macOS build to use older torch (#1138)

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Raivis Dejus 2025-04-05 12:27:29 +03:00 • committed by GitHub
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4 changed files with 153 additions and 157 deletions
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28
.github/workflows/ci.yml vendored
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@ -64,6 +64,11 @@ jobs:
- name: Test ffmpeg
run: ffmpeg -i ./testdata/audio-long.mp3 ./testdata/audio-long.wav
- name: Downgrade torch for Intel macOS
run: |
poetry add torch==2.2.2 torchaudio==2.2.2
if: "matrix.os == 'macos-13'"
- name: Install dependencies
run: poetry install
@ -128,23 +133,19 @@ jobs:
- name: Install CUDA torch for Windows
run: |
if [ "$RUNNER_OS" == "Windows" ]; then
poetry source add --priority=supplemental torch https://download.pytorch.org/whl/cu121
poetry source add --priority=supplemental torch https://download.pytorch.org/whl/cu124
poetry source add --priority=supplemental nvidia https://pypi.ngc.nvidia.com
poetry add torch==2.2.2+cu121
poetry add torchaudio==2.2.2+cu121
poetry add nvidia-cublas-cu12==12.1.3.1
poetry add nvidia-cuda-cupti-cu12==12.1.105
poetry add nvidia-cuda-nvrtc-cu12==12.1.105
poetry add nvidia-cuda-runtime-cu12==12.1.105
poetry add nvidia-cufft-cu12==11.0.2.54
poetry add nvidia-curand-cu12==10.3.2.106
poetry add nvidia-cusolver-cu12==11.4.5.107
poetry add nvidia-cusparse-cu12==12.1.0.106
poetry add nvidia-nvtx-cu12==12.1.105
poetry add torch==2.6.0+cu124 torchaudio==2.6.0+cu124
poetry add nvidia-cublas-cu12==12.4.5.8 nvidia-cuda-cupti-cu12==12.4.127 nvidia-cuda-nvrtc-cu12==12.4.127 nvidia-cuda-runtime-cu12==12.4.127 nvidia-cufft-cu12==11.2.1.3 nvidia-curand-cu12==10.3.5.147 nvidia-cusolver-cu12==11.6.1.9 nvidia-cusparse-cu12==12.3.1.170 nvidia-nvtx-cu12==12.4.127
fi
shell: bash
- name: Downgrade torch for Intel macOS
run: |
poetry add torch==2.2.2 torchaudio==2.2.2
if: "matrix.os == 'macos-13'"
- name: Install dependencies
run: poetry install
@ -227,8 +228,7 @@ jobs:
strategy:
fail-fast: false
matrix:
# macos-13 is an intel runner, macos-14 is apple silicon
os: [ubuntu-latest, windows-latest, macos-13, macos-14]
os: [ubuntu-latest, windows-latest, macos-latest]
steps:
- uses: actions/checkout@v4

13
CONTRIBUTING.md Normal file → Executable file
View file

@ -119,19 +119,20 @@ Note: It should be safe to ignore any "syntax errors" you see during the build.
GPU support on Windows with Nvidia GPUs is included out of the box in the `.exe` installer.
To add GPU support for source or `pip` installed version first ensure at least CUDA 12.1 is installed - https://developer.nvidia.com/cuda-12-1-0-download-archive
Switch torch library to GPU version. It must match the CUDA version installed, see https://pytorch.org/get-started/locally/ .
To add GPU support for source or `pip` installed version switch torch library to GPU version. For more info see https://pytorch.org/get-started/locally/ .
```
pip3 uninstall torch torchaudio
pip3 install torch==2.2.2+cu121 torchaudio==2.2.2+cu121 --index-url https://download.pytorch.org/whl/cu121
poetry source add --priority=supplemental torch https://download.pytorch.org/whl/cu124
poetry source add --priority=supplemental nvidia https://pypi.ngc.nvidia.com
poetry add torch==2.6.0+cu124 torchaudio==2.6.0+cu124
poetry add nvidia-cublas-cu12==12.4.5.8 nvidia-cuda-cupti-cu12==12.4.127 nvidia-cuda-nvrtc-cu12==12.4.127 nvidia-cuda-runtime-cu12==12.4.127 nvidia-cufft-cu12==11.2.1.3 nvidia-curand-cu12==10.3.5.147 nvidia-cusolver-cu12==11.6.1.9 nvidia-cusparse-cu12==12.3.1.170 nvidia-nvtx-cu12==12.4.127
```
To use Faster Whisper on GPU, install the following libraries:
* [cuBLAS](https://developer.nvidia.com/cublas)
* [cuDNN](https://developer.nvidia.com/cudnn)
Ensure ffmpeg dependencies are installed
If you run into issues with FFmpeg, ensure ffmpeg dependencies are installed
```
pip3 uninstall ffmpeg ffmpeg-python
pip3 install ffmpeg

263
poetry.lock generated
View file

@ -2297,66 +2297,71 @@ files = [
[[package]]
name = "nvidia-cublas-cu12"
version = "12.1.3.1"
version = "12.4.5.8"
description = "CUBLAS native runtime libraries"
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groups = ["main"]
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name = "nvidia-cuda-runtime-cu12"
version = "12.1.105"
version = "12.4.127"
description = "CUDA Runtime native Libraries"
optional = false
python-versions = ">=3"
groups = ["main"]
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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]
[[package]]
name = "nvidia-cudnn-cu12"
version = "8.9.2.26"
version = "9.1.0.70"
description = "cuDNN runtime libraries"
optional = false
python-versions = ">=3"
groups = ["main"]
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
files = [
{file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
{file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
{file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"},
]
[package.dependencies]
@ -2364,41 +2369,47 @@ nvidia-cublas-cu12 = "*"
[[package]]
name = "nvidia-cufft-cu12"
version = "11.0.2.54"
version = "11.2.1.3"
description = "CUFFT native runtime libraries"
optional = false
python-versions = ">=3"
groups = ["main"]
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
files = [
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{file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
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[package.dependencies]
nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-curand-cu12"
version = "10.3.2.106"
version = "10.3.5.147"
description = "CURAND native runtime libraries"
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python-versions = ">=3"
groups = ["main"]
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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[package.dependencies]
@ -2408,57 +2419,73 @@ nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-cusparse-cu12"
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version = "12.3.1.170"
description = "CUSPARSE native runtime libraries"
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]
[package.dependencies]
nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-cusparselt-cu12"
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version = "12.4.127"
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python-versions = ">=3"
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]
[package.dependencies]
torch = "2.2.2"
torch = "2.6.0"
[[package]]
name = "tqdm"
@ -4595,31 +4615,6 @@ files = [
{file = "treetable-0.2.5.tar.gz", hash = "sha256:29c95b797a8ecff4bb894cb7b103e39a78c905ab78a88a9a247de30c87743a2f"},
]
[[package]]
name = "triton"
version = "2.2.0"
description = "A language and compiler for custom Deep Learning operations"
optional = false
python-versions = "*"
groups = ["main"]
markers = "(platform_machine == \"x86_64\" or sys_platform == \"linux2\") and python_version <= \"3.11\" and (platform_system == \"Linux\" or sys_platform == \"linux\" or sys_platform == \"linux2\")"
files = [
{file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
{file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
{file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
{file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
{file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
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]
[package.dependencies]
filelock = "*"
[package.extras]
build = ["cmake (>=3.20)", "lit"]
tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
[[package]]
name = "triton"
version = "3.2.0"
@ -4627,7 +4622,7 @@ description = "A language and compiler for custom Deep Learning operations"
optional = false
python-versions = "*"
groups = ["main"]
markers = "(platform_machine == \"x86_64\" or sys_platform == \"linux2\") and python_version >= \"3.12\" and (sys_platform == \"linux\" or sys_platform == \"linux2\")"
markers = "(platform_machine == \"x86_64\" or sys_platform == \"linux2\") and (platform_system == \"Linux\" or sys_platform == \"linux\" or sys_platform == \"linux2\")"
files = [
{file = "triton-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3e54983cd51875855da7c68ec05c05cf8bb08df361b1d5b69e05e40b0c9bd62"},
{file = "triton-3.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8009a1fb093ee8546495e96731336a33fb8856a38e45bb4ab6affd6dbc3ba220"},
@ -4856,4 +4851,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.9,<3.13"
content-hash = "54b43566cebe502c9d7b2ca7c7a0694a15cb17891a8a1b981f249ea5442fb8c9"
content-hash = "0711cc653fbb002a2fa00bdba425b00ec20cef70887da08404be87c7f01389e5"

6
pyproject.toml
View file

@ -54,9 +54,9 @@ transformers = "4.49.0"
accelerate = "^1.0.1"
polib = "^1.2.0"
srt-equalizer = "^0.1.10"
# torch 2.2.2 is last with intel macOS support
torch = "2.2.2"
torchaudio = "2.2.2"
# torch 2.2.2 is last with intel macOS support, during build torch will be downgraded
torch = "2.6.0"
torchaudio = "2.6.0"
# ctranslate2 4.3.1 is last with intel macOS support
ctranslate2 = "4.3.1"
darkdetect = "^0.8.0"