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py 312 py 313 support

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remove unreliant cuda detection and just lock poetry with cuda
This commit is contained in:
vegu-ai-tools 2025-05-04 19:36:24 +03:00
parent f15e801e19
commit b722abfcfb
7 changed files with 98 additions and 477 deletions
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2
.github/workflows/test.yml vendored
View file

@ -11,7 +11,7 @@ jobs:
runs-on: ubuntu-latest runs-on: ubuntu-latest
strategy: strategy:
matrix: matrix:
python-version: ['3.11'] python-version: ['3.10', '3.11', '3.12', '3.13']
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4

22
install.bat
View file

@ -2,7 +2,7 @@
REM Check for Python version and use a supported version if available REM Check for Python version and use a supported version if available
SET PYTHON=python SET PYTHON=python
python -c "import sys; sys.exit(0 if sys.version_info[:2] in [(3, 10), (3, 11)] else 1)" 2>nul python -c "import sys; sys.exit(0 if sys.version_info[:2] in [(3, 10), (3, 11), (3, 12), (3, 13)] else 1)" 2>nul
IF NOT ERRORLEVEL 1 ( IF NOT ERRORLEVEL 1 (
echo Selected Python version: %PYTHON% echo Selected Python version: %PYTHON%
GOTO EndVersionCheck GOTO EndVersionCheck
@ -14,7 +14,7 @@ FOR /F "tokens=*" %%i IN ('py --list') DO (
echo %%i | findstr /C:"-V:3.10 " >nul && SET PYTHON=py -3.10 && GOTO EndPythonCheck echo %%i | findstr /C:"-V:3.10 " >nul && SET PYTHON=py -3.10 && GOTO EndPythonCheck
) )
:EndPythonCheck :EndPythonCheck
%PYTHON% -c "import sys; sys.exit(0 if sys.version_info[:2] in [(3, 10), (3, 11)] else 1)" 2>nul %PYTHON% -c "import sys; sys.exit(0 if sys.version_info[:2] in [(3, 10), (3, 11), (3, 12), (3, 13)] else 1)" 2>nul
IF ERRORLEVEL 1 ( IF ERRORLEVEL 1 (
echo Unsupported Python version. Please install Python 3.10 or 3.11. echo Unsupported Python version. Please install Python 3.10 or 3.11.
exit /b 1 exit /b 1
@ -41,30 +41,12 @@ call talemate_env\Scripts\activate
REM upgrade pip and setuptools REM upgrade pip and setuptools
python -m pip install --upgrade pip setuptools python -m pip install --upgrade pip setuptools
REM install poetry REM install poetry
python -m pip install "poetry==1.7.1" "rapidfuzz>=3" -U python -m pip install "poetry==1.7.1" "rapidfuzz>=3" -U
REM use poetry to install dependencies REM use poetry to install dependencies
python -m poetry install python -m poetry install
REM installing torch
echo Installiing PyTorch...
echo Checking for CUDA availability...
REM we use nvcc to check for CUDA availability
REM if cuda exists: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
nvcc --version >nul 2>&1
IF ERRORLEVEL 1 (
echo CUDA not found. Keeping PyTorch installation without CUDA support...
) ELSE (
echo CUDA found. Installing PyTorch with CUDA support...
REM uninstalling existing torch, torchvision, torchaudio
python -m pip uninstall torch torchaudio -y
python -m pip install torch~=2.7.0 torchaudio~=2.7.0 --index-url https://download.pytorch.org/whl/cu128
)
REM copy config.example.yaml to config.yaml only if config.yaml doesn't exist REM copy config.example.yaml to config.yaml only if config.yaml doesn't exist
IF NOT EXIST config.yaml copy config.example.yaml config.yaml IF NOT EXIST config.yaml copy config.example.yaml config.yaml

13
install.sh
View file

@ -16,19 +16,6 @@ pip install poetry
echo "Installing dependencies..." echo "Installing dependencies..."
poetry install poetry install
# get input on whether to install torch with CUDA support
read -p "Do you want to install PyTorch with CUDA support? (y/n): " cuda
# install torch with CUDA support if the user wants to
# pip install torch~=2.4.1 torchaudio~=2.4.1 --index-url https://download.pytorch.org/whl/cu121
# if not, torch with cpu is alrady installed so nothing needs to be done
if [ $cuda == "y" ]; then
echo "Installing PyTorch with CUDA support..."
# uninstall torch and torchaudio
pip uninstall torch torchaudio -y
pip install torch~=2.7.0 torchaudio~=2.7.0 --index-url https://download.pytorch.org/whl/cu128
fi
# copy config.example.yaml to config.yaml only if config.yaml doesn't exist # copy config.example.yaml to config.yaml only if config.yaml doesn't exist
if [ ! -f config.yaml ]; then if [ ! -f config.yaml ]; then
echo "Copying config.example.yaml to config.yaml..." echo "Copying config.example.yaml to config.yaml..."

509
poetry.lock generated
View file

@ -1533,7 +1533,10 @@ grpcio-status = [
{version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
] ]
proto-plus = ">=1.22.3,<2.0.0" proto-plus = [
{version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
{version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
]
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0" protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
requests = ">=2.18.0,<3.0.0" requests = ">=2.18.0,<3.0.0"
@ -1687,7 +1690,10 @@ files = [
google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]} google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]}
google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0" google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
grpc-google-iam-v1 = ">=0.14.0,<1.0.0" grpc-google-iam-v1 = ">=0.14.0,<1.0.0"
proto-plus = ">=1.22.3,<2.0.0" proto-plus = [
{version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
{version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
]
protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0" protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
[[package]] [[package]]
@ -3006,25 +3012,6 @@ files = [
{file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
] ]
[[package]]
name = "networkx"
version = "3.4.2"
description = "Python package for creating and manipulating graphs and networks"
optional = false
python-versions = ">=3.10"
files = [
{file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
{file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
]
[package.extras]
default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"]
developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"]
example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
[[package]] [[package]]
name = "nltk" name = "nltk"
version = "3.9.1" version = "3.9.1"
@ -3095,200 +3082,6 @@ files = [
{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"}, {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
] ]
[[package]]
name = "nvidia-cublas-cu12"
version = "12.6.4.1"
description = "CUBLAS native runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb"},
{file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668"},
{file = "nvidia_cublas_cu12-12.6.4.1-py3-none-win_amd64.whl", hash = "sha256:9e4fa264f4d8a4eb0cdbd34beadc029f453b3bafae02401e999cf3d5a5af75f8"},
]
[[package]]
name = "nvidia-cuda-cupti-cu12"
version = "12.6.80"
description = "CUDA profiling tools runtime libs."
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:166ee35a3ff1587f2490364f90eeeb8da06cd867bd5b701bf7f9a02b78bc63fc"},
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{file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132"},
{file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73"},
{file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-win_amd64.whl", hash = "sha256:bbe6ae76e83ce5251b56e8c8e61a964f757175682bbad058b170b136266ab00a"},
]
[[package]]
name = "nvidia-cuda-nvrtc-cu12"
version = "12.6.77"
description = "NVRTC native runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13"},
{file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53"},
{file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:f7007dbd914c56bd80ea31bc43e8e149da38f68158f423ba845fc3292684e45a"},
]
[[package]]
name = "nvidia-cuda-runtime-cu12"
version = "12.6.77"
description = "CUDA Runtime native Libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd"},
{file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e"},
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{file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:86c58044c824bf3c173c49a2dbc7a6c8b53cb4e4dca50068be0bf64e9dab3f7f"},
]
[[package]]
name = "nvidia-cudnn-cu12"
version = "9.5.1.17"
description = "cuDNN runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def"},
{file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2"},
{file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-win_amd64.whl", hash = "sha256:d7af0f8a4f3b4b9dbb3122f2ef553b45694ed9c384d5a75bab197b8eefb79ab8"},
]
[package.dependencies]
nvidia-cublas-cu12 = "*"
[[package]]
name = "nvidia-cufft-cu12"
version = "11.3.0.4"
description = "CUFFT native runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6"},
{file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb"},
{file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5"},
{file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca"},
{file = "nvidia_cufft_cu12-11.3.0.4-py3-none-win_amd64.whl", hash = "sha256:6048ebddfb90d09d2707efb1fd78d4e3a77cb3ae4dc60e19aab6be0ece2ae464"},
]
[package.dependencies]
nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-cufile-cu12"
version = "1.11.1.6"
description = "cuFile GPUDirect libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159"},
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]
[[package]]
name = "nvidia-curand-cu12"
version = "10.3.7.77"
description = "CURAND native runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8"},
{file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf"},
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{file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:7b2ed8e95595c3591d984ea3603dd66fe6ce6812b886d59049988a712ed06b6e"},
{file = "nvidia_curand_cu12-10.3.7.77-py3-none-win_amd64.whl", hash = "sha256:6d6d935ffba0f3d439b7cd968192ff068fafd9018dbf1b85b37261b13cfc9905"},
]
[[package]]
name = "nvidia-cusolver-cu12"
version = "11.7.1.2"
description = "CUDA solver native runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0"},
{file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c"},
{file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6"},
{file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dbbe4fc38ec1289c7e5230e16248365e375c3673c9c8bac5796e2e20db07f56e"},
{file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-win_amd64.whl", hash = "sha256:6813f9d8073f555444a8705f3ab0296d3e1cb37a16d694c5fc8b862a0d8706d7"},
]
[package.dependencies]
nvidia-cublas-cu12 = "*"
nvidia-cusparse-cu12 = "*"
nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-cusparse-cu12"
version = "12.5.4.2"
description = "CUSPARSE native runtime libraries"
optional = false
python-versions = ">=3"
files = [
{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887"},
{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73"},
{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f"},
{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-win_amd64.whl", hash = "sha256:4acb8c08855a26d737398cba8fb6f8f5045d93f82612b4cfd84645a2332ccf20"},
]
[package.dependencies]
nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-cusparselt-cu12"
version = "0.6.3"
description = "NVIDIA cuSPARSELt"
optional = false
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filelock = "*"
fsspec = "*"
jinja2 = "*"
networkx = "*"
nvidia-cublas-cu12 = {version = "12.6.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cuda-cupti-cu12 = {version = "12.6.80", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cuda-nvrtc-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cuda-runtime-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cudnn-cu12 = {version = "9.5.1.17", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cufft-cu12 = {version = "11.3.0.4", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cufile-cu12 = {version = "1.11.1.6", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-curand-cu12 = {version = "10.3.7.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusolver-cu12 = {version = "11.7.1.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusparse-cu12 = {version = "12.5.4.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusparselt-cu12 = {version = "0.6.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nccl-cu12 = {version = "2.26.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nvjitlink-cu12 = {version = "12.6.85", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nvtx-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
sympy = ">=1.13.3"
triton = {version = "3.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
typing-extensions = ">=4.10.0"
[package.extras]
opt-einsum = ["opt-einsum (>=3.3)"]
optree = ["optree (>=0.13.0)"]
[[package]] [[package]]
name = "torchaudio" name = "torchaudio"
version = "2.7.0" version = "2.7.0+cu128"
description = "An audio package for PyTorch" description = "An audio package for PyTorch"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = []
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]
[package.dependencies]
torch = "2.7.0"
[[package]] [[package]]
name = "tqdm" name = "tqdm"
@ -5735,29 +5431,6 @@ torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata",
video = ["av"] video = ["av"]
vision = ["Pillow (>=10.0.1,<=15.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"]
[[package]]
name = "triton"
version = "3.3.0"
description = "A language and compiler for custom Deep Learning operations"
optional = false
python-versions = "*"
files = [
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[package.dependencies]
setuptools = ">=40.8.0"
[package.extras]
build = ["cmake (>=3.20)", "lit"]
tests = ["autopep8", "isort", "llnl-hatchet", "numpy", "pytest", "pytest-forked", "pytest-xdist", "scipy (>=1.7.1)"]
tutorials = ["matplotlib", "pandas", "tabulate"]
[[package]] [[package]]
name = "typer" name = "typer"
version = "0.15.3" version = "0.15.3"
@ -6482,5 +6155,5 @@ type = ["pytest-mypy"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10,<3.12" python-versions = ">=3.10,<3.14"
content-hash = "cd4cb1e4aad1eed152e39995a034699630ea5529928cf6724fccc1dd6d044a22" content-hash = "1d55a550739269eb4e67e3cb51cfddda1ca72be334e7e07f047e4db71c6d03f6"

7
pyproject.toml
View file

@ -10,7 +10,7 @@ authors = ["VeguAITools"]
license = "GNU Affero General Public License v3.0" license = "GNU Affero General Public License v3.0"
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = ">=3.10,<3.12" python = ">=3.10,<3.14"
astroid = "^2.8" astroid = "^2.8"
jedi = "^0.18" jedi = "^0.18"
black = "*" black = "*"
@ -55,8 +55,9 @@ sseclient-py = "^1.8.0"
# ChromaDB # ChromaDB
chromadb = ">=0.4.17,<1" chromadb = ">=0.4.17,<1"
InstructorEmbedding = "^1.0.1" InstructorEmbedding = "^1.0.1"
torch = "^2.4.0" #
torchaudio = "^2.4.0" torch = "^2.7.0+cu128"
torchaudio = "=2.7.0+cu128"
# locked for instructor embeddings # locked for instructor embeddings
#sentence-transformers="==2.2.2" #sentence-transformers="==2.2.2"
sentence_transformers=">=2.7.0" sentence_transformers=">=2.7.0"

13
update.bat
View file

@ -17,19 +17,6 @@ REM use poetry to install dependencies
echo Updating virtual environment... echo Updating virtual environment...
python -m poetry install python -m poetry install
REM we use nvcc to check for CUDA availability
REM if cuda exists: pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
nvcc --version >nul 2>&1
IF ERRORLEVEL 1 (
echo CUDA not found. Keeping PyTorch installation without CUDA support...
) ELSE (
echo CUDA found. Installing PyTorch with CUDA support...
REM uninstalling existing torch, torchvision, torchaudio
python -m pip uninstall torch torchaudio -y
python -m pip install torch~=2.7.0 torchaudio~=2.7.0 --index-url https://download.pytorch.org/whl/cu128
)
echo Virtual environment updated! echo Virtual environment updated!
REM updating npm packages REM updating npm packages

9
update.sh
View file

@ -17,15 +17,6 @@ git pull
echo "Updating virtual environment..." echo "Updating virtual environment..."
python3 -m poetry install python3 -m poetry install
# Check for CUDA
if command -v nvcc >/dev/null 2>&1; then
echo "CUDA found. Installing PyTorch with CUDA support..."
python3 -m pip uninstall torch torchaudio -y
python3 -m pip install torch~=2.7.0 torchaudio~=2.7.0 --index-url https://download.pytorch.org/whl/cu128
else
echo "CUDA not found. Keeping PyTorch installation without CUDA support..."
fi
echo "Virtual environment updated!" echo "Virtual environment updated!"
# Update npm packages # Update npm packages