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docs/ru/docs/deployment/docker.md
# (2) WORKDIR /tmp # (3) RUN pip install poetry # (4) COPY ./pyproject.toml ./poetry.lock* /tmp/ # (5) RUN poetry export -f requirements.txt --output requirements.txt --without-hashes # (6) FROM python:3.9 # (7) WORKDIR /code # (8) COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt # (9) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 57.5K bytes - Viewed (0) -
configure.py
# Items below are for backwards compatibility when not using # TF_CUDA_PATHS. 'CUDA_TOOLKIT_PATH', 'CUDNN_INSTALL_PATH', 'NCCL_INSTALL_PATH', 'NCCL_HDR_PATH', 'TENSORRT_INSTALL_PATH' ] # Note: set_action_env_var above already writes to bazelrc. for name in cuda_env_names: if name in environ_cp:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
.bazelrc
# strongly recommend that you migrate to Clang as your compiler for TensorFlow # Linux builds. Instructions are available in the official documentation: # https://www.tensorflow.org/install/source#install_clang_recommended_linux_only # Another good option is to use our Docker containers to build and test TF: # https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/tf_sig_build_dockerfiles.
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tensorflow/BUILD
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8)