d2bc3da0a1
* added UNet for medical image segmentation * added TF-AMP support for RN50 * small updates for other models (READMEs, benchmark & testing scripts)
32 lines
829 B
Docker
32 lines
829 B
Docker
FROM nvcr.io/nvidia/tensorflow:19.05-py3 as base
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FROM base as sha
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RUN mkdir /sha
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RUN cat `cat HEAD | cut -d' ' -f2` > /sha/repo_sha
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FROM base as final
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WORKDIR /workdir
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RUN PROTOC_VERSION=3.0.0 && \
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PROTOC_ZIP=protoc-${PROTOC_VERSION}-linux-x86_64.zip && \
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curl -OL https://github.com/google/protobuf/releases/download/v$PROTOC_VERSION/$PROTOC_ZIP && \
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unzip -o $PROTOC_ZIP -d /usr/local bin/protoc && \
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rm -f $PROTOC_ZIP
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COPY requirements.txt .
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RUN pip install Cython
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RUN pip install -r requirements.txt
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WORKDIR models/research/
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COPY models/research/ .
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RUN protoc object_detection/protos/*.proto --python_out=.
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ENV PYTHONPATH="/workdir/models/research/:/workdir/models/research/slim/:$PYTHONPATH"
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COPY examples/ examples
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COPY configs/ configs/
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COPY download_all.sh download_all.sh
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COPY --from=sha /sha .
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