feat: (non-container) update pyproject.toml, upgrade TE to 2.10.0#1090
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hemildesai wants to merge 15 commits into
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feat: (non-container) update pyproject.toml, upgrade TE to 2.10.0#1090hemildesai wants to merge 15 commits into
hemildesai wants to merge 15 commits into
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Signed-off-by: Hemil Desai <hemild@nvidia.com>
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/ok to test 3ecbf91 |
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/ok to test 8a0ddb4 |
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/ok to test 10a2116 |
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@NVIDIA-NeMo/automation PTAL thank you |
thomasdhc
reviewed
Jan 26, 2026
| COPY . /opt/Automodel | ||
| RUN cd /opt/Automodel && \ | ||
| if [ "$BASE_IMAGE" = "pytorch" ]; then \ | ||
| sed -i '/override-dependencies = \["nvidia-cudnn-cu12/d' pyproject.toml && \ |
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@hemildesai this override already exists, please see docker/common/uv-pytorch.toml
Signed-off-by: Dong Hyuk Chang <donghyukc@nvidia.com>
Signed-off-by: thomasdhc <thomasdhc@users.noreply.github.com>
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/ok to test 911877e |
thomasdhc
previously approved these changes
Jan 26, 2026
Signed-off-by: Dong Hyuk Chang <donghyukc@nvidia.com>
Signed-off-by: Dong Hyuk Chang <donghyukc@nvidia.com>
Signed-off-by: thomasdhc <thomasdhc@users.noreply.github.com>
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/ok to test 7f879b0 |
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Closing in favor of: #1127 |
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Allows installing all dependencies for using
uv syncFor custom MoEs,
uv sync --extra moewill install everything necessary to run them.Switch torch source to
{ index = "pytorch-cu130", marker = "sys_platform == 'linux'" }if your system has CUDA 13