mlvc/pyproject.toml at main · microsoft/mlvc · GitHub

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[project]
name = "mlvc"
version = "0.1.0"
requires-python = ">=3.12,<3.14"
dependencies = [
    "torch==2.10.0",
    "torchao",
    # Data & utilities
    "tqdm",
    "tabulate",
    "pandas",
    "scipy",
    "matplotlib",
    "dataclasses-json",
    # ONNX / model conversion
    "onnx",
    "onnxscript",
    "onnxconverter_common",
    "coremltools",
    # Azure
    "cryptography<=46.0.3", # Latest versions missing ARM64 Windows wheels
    "azure-identity",
    "azure-storage-blob",
    "azure-ai-ml",
    "azureml-mlflow",
    "mlflow-skinny",
    # Not available for ARM64 Windows
    "lpips; sys_platform != 'win32' or platform_machine != 'ARM64'",
    "opencv-python==4.11.0.86; sys_platform != 'win32' or platform_machine != 'ARM64'",
    "sentencepiece; sys_platform != 'win32' or platform_machine != 'ARM64'",
    "transformers>=5.14.1,<6; sys_platform != 'win32' or platform_machine != 'ARM64'",
    "pyfacer; sys_platform != 'win32' or platform_machine != 'ARM64'",
]

[project.optional-dependencies]
onnxruntime = ["onnxruntime"]
onnxruntime-gpu = [
    "onnxruntime-gpu; sys_platform == 'linux' or (sys_platform == 'win32' and platform_machine == 'AMD64')",
]
onnxruntime-openvino = [
    "onnxruntime-openvino==1.24.1; sys_platform == 'win32' and platform_machine == 'AMD64'",
    "openvino==2025.4.1; sys_platform == 'win32' and platform_machine == 'AMD64'",
]
onnxruntime-qnn = [
    "onnxruntime-qnn==1.24.4; sys_platform == 'win32' and platform_machine == 'ARM64'",
]
onnxruntime-windowsml = [
    "winrt-Windows.Foundation; sys_platform == 'win32'",
    "winrt-Windows.ApplicationModel; sys_platform == 'win32'",
    "wasdk-Microsoft.Windows.AI.MachineLearning==1.8.*; sys_platform == 'win32'",
    "wasdk-Microsoft.Windows.ApplicationModel.DynamicDependency.Bootstrap==1.8.*; sys_platform == 'win32'",
]

[dependency-groups]
ci = [
    "pytest",
    "pyright",
    "ruff",
    "pre-commit",
    "pre-commit-hooks",
    "python-dotenv",
]
dev = [
    { include-group = "ci" },
    "jupyterlab",
]

[tool.uv]
package = false
conflicts = [
    [
        { extra = "onnxruntime" },
        { extra = "onnxruntime-gpu" },
        { extra = "onnxruntime-qnn" },
        { extra = "onnxruntime-openvino" },
        { extra = "onnxruntime-windowsml" },
    ],
]
environments = [
    "sys_platform == 'linux' and platform_machine == 'x86_64'",
    "sys_platform == 'win32' and platform_machine == 'AMD64'",
    "sys_platform == 'win32' and platform_machine == 'ARM64'",
    "sys_platform == 'darwin' and platform_machine == 'arm64'",
]

[tool.uv.sources]
torch = [
    { index = "pytorch-cu128", marker = "sys_platform == 'win32' and platform_machine == 'AMD64'" },
    { index = "pytorch-cpu", marker = "sys_platform == 'win32' and platform_machine != 'AMD64'" },
]
torchvision = [
    { index = "pytorch-cu128", marker = "sys_platform == 'win32' and platform_machine == 'AMD64'" },
    { index = "pytorch-cpu", marker = "sys_platform == 'win32' and platform_machine != 'AMD64'" },
]

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.pyright]
include = ["video"]
extraPaths = ["packages/msrtc_rans/python/src"]
exclude = [
    "**/node_modules",
    "**/__pycache__",
    "**/.*",
    ".venv",
    "venv",
    "video/src/vsr",
    "video/src/metrics/deqa",
    "video/src/models/legacy",
    "video/src/utils/flow_tester.py",
    "packages/msrtc_rans/python/src",
]
ignore = ["packages/msrtc_rans/python/src"]
pythonVersion = "3.12"
typeCheckingMode = "basic"

[tool.ruff]
line-length = 120
extend-exclude = ["video/src/vsr", "video/src/metrics/deqa"]