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tensorflow/c/c_api_internal.h
// ExtendSessionGraphHelper manually. std::atomic<bool> extend_before_run; }; struct TF_ImportGraphDefOptions { tensorflow::ImportGraphDefOptions opts; // Backing memory for TensorId fields in opts. // TODO(skyewm): it'd be better if ImportGraphDefOptions owned this. std::vector<tensorflow::string> tensor_id_data; }; struct TF_ImportGraphDefResults {
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ci/official/envs/linux_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
template <typename G> Cleanup(Cleanup<G>&& src) // NOLINT : released_(src.is_released()), f_(src.release()) {} // Assignment to a Cleanup object behaves like destroying it // and making a new one in its place, analogous to unique_ptr // semantics. Cleanup& operator=(Cleanup&& src) { // NOLINT if (!released_) f_(); released_ = src.released_; f_ = src.release(); return *this; }
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CODE_OF_CONDUCT.md
## Conflict Resolution Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between.
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ci/official/utilities/cleanup_summary.sh
awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq } # Print out any ResultStore URLs for Bazel invocations' results. # Each failed target there will have its own representation, making failures # easier to find and read. function resultstore_extract { local \ XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml" python3 \
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ci/official/containers/linux_arm64/setup.packages.sh
# # setup.packages.sh: Given a list of Ubuntu packages, install them and clean up. # Usage: setup.packages.sh <package_list.txt> set -e # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive apt-get update # Remove commented lines and blank lines apt-get install -y --no-install-recommends $(sed -e '/^\s*#.*$/d' -e '/^\s*$/d' "$1" | sort -u)
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ci/official/containers/linux_arm64/setup.sources.sh
# # setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> # Sets up custom apt sources for our TF images. # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive # Set up shared custom sources apt-get update apt-get install -y gnupg ca-certificates
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tensorflow/c/eager/c_api_unified_experimental.h
TF_OutputList*, TF_Status*); void TF_DeleteAbstractFunction(TF_AbstractFunction*); // Register the function with the given context. This is particularly useful for // making a function available to an eager context. void TF_ExecutionContextRegisterFunction(TF_ExecutionContext*, TF_AbstractFunction*, TF_Status*);
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
# Download glibc's shared and development libraries based on the value of the # `VERSION` parameter. # Note: 'Templatizing' this and the other conditional branches would require # defining several variables (version, os, path) making it difficult to maintain # and extend for future modifications. mkdir -p glibc-src mkdir -p glibc-build cd glibc-src
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tensorflow/c/eager/c_api_remote_test_util.cc
ASSERT_TRUE(remote_arg->HasLocalMirror(nullptr)); } if (remote_func_outputs) { const string backing_device = TFE_TensorHandleBackingDeviceName(retvals[0], status); ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); EXPECT_EQ(backing_device, task2_name); } auto* retval_task0 = TFE_TensorHandleCopyToDevice(
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