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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# "pip tests" run a similar suite of tests the "nonpip" tests, but do something # odd to attempt to validate the quality of the pip package. The wheel is # installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# "pip tests" run a similar suite of tests the "nonpip" tests, but do something # odd to attempt to validate the quality of the pip package. The wheel is # installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
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ci/official/utilities/setup.sh
# exec". # Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)". # Therefore, "tfrun" commands cannot include pipes -- which is # probably for the better. If a pipe is necessary for something, it is probably # complex. Write a well-documented script under utilities/ to encapsulate the # functionality instead. tfrun() { "$@"; } # Run all "tfrun" commands under Docker. See setup_docker.sh for details
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ci/official/utilities/code_check_full.bats
# checks for cross-file issues like bad includes or missing BUILD definitions. # # We can't test on the windows toolchains because they're using a legacy # toolchain format (or something) that specifies the toolchain directly instead # of as a "repository". They can't be valid on Linux because Linux can't do # anything with a Windows-only toolchain, and bazel errors if trying to build # that directory.
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.bazelrc
build:windows --host_linkopt=/DEBUG build:windows --linkopt=/OPT:REF build:windows --host_linkopt=/OPT:REF build:windows --linkopt=/OPT:ICF build:windows --host_linkopt=/OPT:ICF # Verbose failure logs when something goes wrong build:windows --verbose_failures # Work around potential issues with large command lines on windows. # See: https://github.com/bazelbuild/bazel/issues/5163 build:windows --features=compiler_param_file
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RELEASE.md
* Performance improvements for gRPC * Improved support for fp16 * New high-level ops in tf.contrib. {layers,metrics} * New features for TensorBoard, such as shape display, exponential smoothing * Faster and more stable Google Cloud Storage (GCS) filesystem support * Support for zlib compression and decompression for TFRecordReader and TFRecordWriter * Support for reading (animated) GIFs
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