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ci/official/README.md
******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI system, Kokoro, schedules our CI jobs by combining a build script with a file from the `envs` directory that is filled with configuration options: - Nightly jobs (Run nightly on the `nightly` branch)
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
"${TARGET}/usr/lib64" # Link in architecture specific includes from the system; note that we cannot # link in the whole aarch64-linux-gnu folder, as otherwise we're overlaying # system gcc paths that we do not want to find. # TODO(klimek): Automate linking in all non-gcc / non-kernel include # directories. mkdir -p "${TARGET}/usr/include/aarch64-linux-gnu"
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
return; } TF_RandomAccessFile reader; NewRandomAccessFile(filesystem, path, &reader, status); if (TF_GetCode(status) != TF_OK) return; char* buffer = static_cast<char*>(plugin_memory_allocate(metadata->size())); int64_t read = tf_random_access_file::Read(&reader, 0, metadata->size(), buffer, status); tf_random_access_file::Cleanup(&reader); if (TF_GetCode(status) != TF_OK) return;
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tensorflow/c/eager/gradients.cc
vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets, output_gradients, result, /*build_default_zeros_grads*/ false)); return absl::OkStatus(); } // Helper functions which delegate to `AbstractOperation`, update // the state of the ForwardOperation and call the tape as appropriate. // These APIs are mainly to facilitate testing and are subject to change. namespace internal {
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tensorflow/c/c_test_util.cc
float* values = new float[1]; values[0] = v; return TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes, &FloatDeallocator, nullptr); } // All the *Helper methods are used as a workaround for the restrictions that // one cannot call ASSERT_* methods in non-void-returning functions (when // exceptions are disabled during compilation)
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tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // Set configuration key and value using coordination service. // If coordination service is enabled, the key-value will be stored on the // leader and become accessible to all workers in the cluster. // Currently, a config key can only be set with one value, and subsequently // setting the same key will lead to errors. //
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# # Repacks libtensorflow tarballs into $DIR with provided $TARBALL_SUFFIX, # and also repacks libtensorflow-src.jar into a standardized format. # Helper function to copy a srcjar after moving any source files # directly under the root to the "maven-style" src/main/java layout # # Source files generated by annotation processors appear directly
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tensorflow/c/eager/gradients_internal.h
#ifndef TENSORFLOW_C_EAGER_GRADIENTS_INTERNAL_H_ #define TENSORFLOW_C_EAGER_GRADIENTS_INTERNAL_H_ #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { namespace internal { // Helper functions which delegate to `AbstractOperation`, update // the state of the ForwardOperation and call the tape as appropriate. // These APIs are mainly to facilitate testing and are subject to change.
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.github/workflows/sigbuild-docker-presubmit.yml
strategy: matrix: python-version: [python3.9, python3.10, python3.11, python3.12] permissions: contents: read pull-requests: write steps: - name: Delete unnecessary tools folder run: | df -h rm -rf /opt/hostedtoolcache df -h - name: Checkout uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 -
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tensorflow/c/eager/immediate_execution_context.h
virtual std::vector<tensorflow::Device*> ListAllTfDevices() = 0; //===--------------------------------------------------------------------===// // Following are helper functions to assist integrating TFRT with current // TF eager runtime. // TODO(b/172877902): These helper functions are currently used to support // PyFuncOp on TFRT, and might be useful for ops that directly use low
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