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CONTRIBUTING.md
your changes by running the command: ```bash tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh ``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the
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ci/official/utilities/code_check_full.bats
LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses cat > $BATS_TEST_TMPDIR/allowed_to_be_missing <<EOF @absl_py//absl @bazel_tools//platforms @bazel_tools//third_party/ @bazel_tools//tools @local @com_google_absl//absl @pybind11_abseil//pybind11_abseil @org_tensorflow// @com_github_googlecloudplatform_google_cloud_cpp//google @com_github_grpc_grpc//src/compiler
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tensorflow/c/eager/dlpack.cc
TF_DataType* tf_dtype) { switch (dtype.code) { case DLDataTypeCode::kDLBool: if (dtype.bits != 8) { return tensorflow::errors::InvalidArgument( "Only DLPack bools of bitwidth 8 are supported, got: ", dtype.bits); } *tf_dtype = TF_DataType::TF_BOOL; return absl::OkStatus(); case DLDataTypeCode::kDLUInt: switch (dtype.bits) { case 8:
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