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Update docker files to use official torch 2.0.0 (#22357)

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* update docker files to use official torch 2.0.0

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-03-24 14:29:05 +01:00
committed by GitHub
parent 57f25f4b7f
commit 01203475c9
3 changed files with 14 additions and 20 deletions
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20
docker/transformers-all-latest-gpu/Dockerfile
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@@ -24,15 +24,13 @@ ARG REF=main
RUN git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF
RUN python3 -m pip install --no-cache-dir -e ./transformers[dev,onnxruntime]
## TODO: Handle these in a python utility script
#RUN [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile
#RUN echo torch=$VERSION
## `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build.
## Currently, let's just use their latest releases (when `torch` is installed with a release version)
## TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI).
#RUN [ "$PYTORCH" != "pre" ] && python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA || python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/$CUDA
RUN python3 -m pip install --no-cache-dir -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu117
# TODO: Handle these in a python utility script
RUN [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile
RUN echo torch=$VERSION
# `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build.
# Currently, let's just use their latest releases (when `torch` is installed with a release version)
# TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI).
RUN [ "$PYTORCH" != "pre" ] && python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA || python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/$CUDA
RUN python3 -m pip install --no-cache-dir -U tensorflow==2.11
RUN python3 -m pip install --no-cache-dir -U tensorflow_probability
@@ -56,8 +54,8 @@ RUN python3 -m pip install --no-cache-dir bitsandbytes
# For video model testing
RUN python3 -m pip install --no-cache-dir decord av==9.2.0
## For `dinat` model
#RUN python3 -m pip install --no-cache-dir natten -f https://shi-labs.com/natten/wheels/$CUDA/
# For `dinat` model
RUN python3 -m pip install --no-cache-dir natten -f https://shi-labs.com/natten/wheels/$CUDA/
# When installing in editable mode, `transformers` is not recognized as a package.
# this line must be added in order for python to be aware of transformers.