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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
setup_file() { cd /tf/tensorflow bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets.
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
Status ModularFileSystem::GetMatchingPaths(const std::string& pattern, TransactionToken* token, std::vector<std::string>* result) { if (ops_->get_matching_paths == nullptr) return internal::GetMatchingPaths(this, Env::Default(), pattern, result); UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus);
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
TEST_P(ModularFileSystemTest, TestGetMatchingPaths) { const std::vector<std::string> matching_filenames = { GetURIForPath("a_file"), GetURIForPath("another_file"), }; const std::vector<std::string> other_filenames = { GetURIForPath("some_file"), GetURIForPath("yet_another_file"), }; for (const auto& filename : matching_filenames) { std::unique_ptr<WritableFile> file;
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tensorflow/c/c_api.cc
// DT_RESOURCE. The string serialization is converted back to a // ResourceHandle during Session run where the TF_Tensor is converted to a // Tensor. // TFv2 does not depend on this conversion. There is no matching // TF_TensorFromTensorV1 because the conversion to string is performed by the // python side of Session. static Status TF_TensorToTensorV1(const TF_Tensor* src, Tensor* dst) { Status status = TF_TensorToTensor(src, dst);
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
TF_SetStatus(status, TF_OK, ""); while (true) { switch (block->state) { case FetchState::ERROR: // TF_FALLTHROUGH_INTENDED case FetchState::CREATED: block->state = FetchState::FETCHING; block->mu.Unlock(); // Release the lock while making the API call. block->data.clear(); block->data.resize(block_size_, 0); int64_t bytes_transferred;
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ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt # We don't need the original wheel if it was renamed new_wheel=$(grep --extended-regexp --only-matching '/tf/pkg/\S+.whl' check.txt) if [[ "$new_wheel" != "$wheel" ]]; then rm "$wheel" wheel="$new_wheel" fi TF_WHEEL="$wheel" bats /usertools/wheel_verification.bats --timing
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.github/workflows/update-rbe.yml
echo -n "Trying to map name $1 to tag $2... " digest=$(curl -s --head "https://gcr.io/v2/tensorflow-sigs/build/manifests/$2" | egrep -o "sha256:[[:alnum:]]*") # Find the line matching the regex "sigbuild-r2.9" (with quotes) and # replace just the digest portion in it sed -i"" "/\"$1\"/ s/sha256:[[:alnum:]]*/$digest/g" tensorflow/tools/toolchains/remote_config/configs.bzl
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ci/official/utilities/code_check_full.bats
setup_file() { bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets.
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tensorflow/c/eager/tape.h
for (auto accumulated : accumulated_gradients_) { vspace_.DeleteGradient(accumulated.second); } } // Tell the forward accumulator to watch tensor_id, with a Tensor tangent // vector `tangent` of matching shape and dtype. Tangents are the "vector" in // "Jacobian-vector product"; `Watch`ing a new Tensor and immediately calling // FetchJVP for it would return `tangent`. void Watch(int64_t tensor_id, Gradient* tangent);
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