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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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tensorflow/c/c_api_experimental_test.cc
} TF_DeleteShapeAndTypeList(input_shapes); TF_DeleteShapeAndTypeList(output_shapes); } absl::optional<std::vector<int64_t>> make_shape( std::vector<int64_t>&& dims) const { return absl::make_optional(dims); } absl::optional<std::vector<int64_t>> unknown_shape() const { return absl::nullopt; } static constexpr int64_t kUnknownDim =
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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/dlpack.cc
#endif } else { status->status = tensorflow::errors::InvalidArgument( "Unsupported Device Type for dlpack"); } return ctx; } // Converts DLDevice to TF device name. absl::optional<std::string> DeviceNameFromDlContext(const DLDevice& ctx, TF_Status* status) { switch (ctx.device_type) { case DLDeviceType::kDLCPU: return "CPU:0";
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
#ifndef TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_LIB_H_ #define TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_LIB_H_ #include <memory> #include <optional> #include <string> #include <utility> #include <vector> #include "absl/types/optional.h" #include "absl/types/span.h" #include "absl/types/variant.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
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/eager/parallel_device/parallel_device_lib.cc
TF_Message(first_bad_status.get())); } } absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> ParallelDevice::Join( const std::vector<PartialTensorShape>& expected_output_shapes, TF_Status* status) const { absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> result; // Compute per-device per-output tensors
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tensorflow/c/eager/immediate_execution_context.h
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_CONTEXT_H_ #include <functional> #include <map> #include <memory> #include <vector> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/immediate_execution_distributed_manager.h" #include "tensorflow/c/eager/immediate_execution_operation.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)