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29526e413b
The tensorflow-cpu package does not support MacOS or non-x86 hardware. Replacing the tensorflow-cpu python package requirement with the tensorflow meta package should enable the bazel build and the dependent python scripts to be used on those platforms. BUG=#2367, #1781
35 lines
1.3 KiB
Text
35 lines
1.3 KiB
Text
# Specify the Python packages available as dependencies to targets in Bazel.
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#
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# When modifying this list, always run
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# the //third_party:python_requirements.update target:
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#
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# bazel run //third_party:python_requirements.update
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#
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# to compile (using pip-compile) this list of direct dependencies into a pinned
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# requirements file---a complete list of direct and transitive dependencies,
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# pinned by version and cryptographic hash. The pinned requirements file is
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# used in @rules_python's pip_parse() in the WORKSPACE file to create the
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# external repositories available as dependencies to py_binary() and
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# py_library() targets.
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#
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# To upgrade dependencies to their latest version, run the update target with
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# the option --upgrade:
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#
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# bazel run //third_party:python_requirements.update -- --upgrade
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#
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# Without the --upgrade option, the underlying pip-compile only adds or removes
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# dependencies without upgrading them to the latest versions available in PyPI.
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#
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# Both this input file and the pinned requirements file should be committed to
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# git. Avoid committing changes that break other developers by using an
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# environment that meets the project's recommendations. Dependency resolution
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# is sensitive to the Python environment (interpreter version, etc.) in which
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# it is run.
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tensorflow
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twine
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numpy
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mako
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pillow
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yapf
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protobuf
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