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tensorflow/c/eager/tracing_utils.h
#ifndef TENSORFLOW_C_EAGER_TRACING_UTILS_H_ #define TENSORFLOW_C_EAGER_TRACING_UTILS_H_ #include "tensorflow/c/eager/abstract_operation.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation*, const char* op_name); } // namespace tracing } // namespace tensorflow
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Aug 31 17:39:44 GMT 2022 - 1016 bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
// This allows the client to swap the implementation of the tracing engine. // Any future call to TF_CreateFunction will use the implementation defined // here. void TF_SetTracingImplementation(const char* name, TF_Status*); // Creates a new TensorFlow function. A Function is an execution context, and as // such it can trace operations through TF_ExecuteOperation. After completing // tracing, a function can be obtained by TF_FinalizeFunction.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/eager/abstract_context.h
// Creates an operation builder and ties it to this context. // The returned object can be used for setting operation's attributes, // adding inputs and finally executing (immediately or lazily as in tracing) // it in this context. virtual AbstractOperation* CreateOperation() = 0; // Registers a function with this context, after this the function is // available to be called/referenced by its name in this context.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:16:58 GMT 2021 - 3K bytes - Viewed (0) -
tensorflow/c/eager/graph_function.h
#define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_ #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/platform/refcount.h" namespace tensorflow { namespace tracing { namespace graph { using tensorflow::AbstractFunction; // Thin wrapper around a FunctionDef. class GraphFunction : public AbstractFunction { public: explicit GraphFunction(FunctionDef fdef);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
#include "tensorflow/core/platform/status.h" namespace tensorflow { // Abstract interface to an operation. // This interface allows building and executing an operation in either // tracing or immediate execution mode. class AbstractOperation { protected: enum AbstractOperationKind { kGraph, kMlir, kEager, kTfrt, kTape, kOpHandler };
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT unsigned char TFE_ContextHasFunction(TFE_Context* ctx, const char* name); // Enables tracing of RunMetadata on the ops executed from this context. TF_CAPI_EXPORT extern void TFE_ContextEnableRunMetadata(TFE_Context* ctx); // Disables tracing of RunMetadata on the ops executed from this context. TF_CAPI_EXPORT extern void TFE_ContextDisableRunMetadata(TFE_Context* ctx);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.h
#include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Builds and returns a `TracingContext` using the default tracing impl. AbstractContext* BuildFunction(const char* fn_name); // Creates parameters (placeholders) in the tracing `ctx` using the shape and // dtype of `inputs`. Status CreateParamsForInputs(AbstractContext* ctx,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
struct OutputList { std::vector<AbstractTensorHandle*> outputs; int expected_num_outputs = -1; }; namespace tracing { // ============================================================================= // Implementation detail for the unified execution APIs for Eager and tracing // backends (graph/MLIR). // // This defines a set of abstract classes that are intended to provide the
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.h
#include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/refcount.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Abstract interface to a Tensor handle in either tracing or immediate // execution mode. class AbstractTensorHandle : public core::RefCounted { protected: enum AbstractTensorHandleKind { kGraph, kMlir, kEager, kTfrt, kCustomDevice };
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Mar 03 00:30:36 GMT 2023 - 3K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
tensorflow::DataType GetDType() const; AbstractTensorHandle* ZerosLike() const; AbstractTensorHandle* GetHandle() const; private: AbstractTensorHandle* handle_; }; // A tracing/immediate-execution agnostic tape. // // Gradient functions defined for this tape must support handling null incoming // gradients. class Tape : protected eager::GradientTape<AbstractTensorHandle,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0)