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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_tensorhandle_internal", "@com_google_absl//absl/strings", "@com_google_absl//absl/types:optional", "@com_google_absl//absl/types:variant", ], ) cc_library( name = "parallel_device_lib", srcs = [":lib_sources"], hdrs = [":lib_headers"], visibility = ["//tensorflow:internal"],
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 4. (optional) RNN conversion support If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title. ### 5. (optional) Any other info / logs
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tensorflow/c/eager/immediate_execution_operation.h
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #include <memory> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/tensor_interface.h"
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.github/workflows/scorecards-analysis.yml
# For private repositories, `publish_results` will automatically be set to `false`, # regardless of the value entered here. publish_results: true # Upload the results as artifacts (optional). - name: "Upload artifact" uses: actions/upload-artifact@83fd05a356d7e2593de66fc9913b3002723633cb # v3.1.1 with: name: SARIF file path: results.sarif retention-days: 5
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tensorflow/c/eager/c_api_unified_experimental_internal.h
class TracingOperation : public AbstractOperation { protected: explicit TracingOperation(AbstractOperationKind kind) : AbstractOperation(kind) {} public: // Sets the name of the operation: this is an optional identifier that is // not intended to carry semantics and preserved/propagated without // guarantees. virtual Status SetOpName(const char* op_name) = 0; // For LLVM style RTTI.
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tensorflow/c/eager/gradients.h
// Records an operation with given inputs and outputs // on the tape and marks all its outputs as watched if at // least one input of the op is watched and has a trainable dtype. // op_name is optional and is used for debugging only. void RecordOperation(absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle* const> outputs,
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tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
==============================================================================*/ #include "tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util.h" #include <cstdint> #include <memory> #include <optional> #include <utility> #include <vector> #include <gtest/gtest.h> #include "absl/log/check.h" #include "xla/pjrt/c/pjrt_c_api.h" #include "xla/pjrt/c/pjrt_c_api_cpu.h"
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