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use nightly pytorch for arm64 cuda #403

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use nightly pytorch for arm64 cuda #403

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6 changes: 5 additions & 1 deletion docker/gpu/Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,11 @@ COPY --chown=appuser:appuser pyproject.toml ./pyproject.toml

# Install dependencies with GPU extras
RUN uv venv --python 3.10 && \
uv sync --extra gpu --no-cache
if [ "$(uname -m)" = "aarch64" ]; then \
uv pip install --python .venv/bin/python --no-cache -e ".[gpu-arm64]" --prerelease=allow; \
else \
uv sync --extra gpu --no-cache; \
fi

# Copy project files including models
COPY --chown=appuser:appuser api ./api
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9 changes: 8 additions & 1 deletion pyproject.toml
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Expand Up @@ -44,6 +44,7 @@ dependencies = [

[project.optional-dependencies]
gpu = ["torch==2.8.0+cu129"]
gpu-arm64 = ["torch"]
cpu = ["torch==2.8.0"]
test = [
"pytest==8.3.5",
Expand All @@ -55,12 +56,13 @@ test = [
]

[tool.uv]
conflicts = [[{ extra = "cpu" }, { extra = "gpu" }]]
conflicts = [[{ extra = "cpu" }, { extra = "gpu" }, { extra = "gpu-arm64" }]]

[tool.uv.sources]
torch = [
{ index = "pytorch-cpu", extra = "cpu" },
{ index = "pytorch-cuda", extra = "gpu" },
{ index = "pytorch-nightly", extra = "gpu-arm64" },
]

[[tool.uv.index]]
Expand All @@ -73,6 +75,11 @@ name = "pytorch-cuda"
url = "https://download.pytorch.org/whl/cu129"
explicit = true

[[tool.uv.index]]
name = "pytorch-nightly"
url = "https://download.pytorch.org/whl/nightly/cu126"
explicit = true

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
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