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tensorflow/c/c_api_internal.h
// will eventually contain the full while loop. TF_Graph* parent; TF_Output* parent_inputs; }; struct TF_OperationDescription { TF_OperationDescription(TF_Graph* g, const char* op_type, const char* node_name) : node_builder(node_name, op_type, g->graph.op_registry()), graph(g) {} tensorflow::NodeBuilder node_builder; TF_Graph* graph;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/eager/graph_function.h
==============================================================================*/ #ifndef 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.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
// ============================================================================= // Public C API entry points // // These are only the generic entry points for the C API. This file does not // have any visibility into the graph/eager implementation and is only providing // C bindings to the abstract classes defined in the // c_api_unified_experimental_internal.h header. // // =============================================================================
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// 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 }; explicit AbstractOperation(AbstractOperationKind kind) : kind_(kind) {} virtual ~AbstractOperation() {} public:
C - Registered: Tue Apr 30 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_unified_experimental.h
// A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext; // A TF_AbstractTensor is an input to an operation. E.g. it could be a union // type of eager and graph tensors. It is also the result of executing an // operation. typedef struct TF_AbstractTensor TF_AbstractTensor;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.h
* parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). * * `numerical_grad` is the pointer to the AbstractTensorHandle* which will * hold the numerical gradient data at the end of the function. */
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
}; 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 // functionality of the opaque C types exposed in the public APIs defined in the // `c_api_unified_experimental.h` header.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
SECURITY.md
programs that TensorFlow executes. TensorFlow programs are encoded as computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph). Since models are practically programs that TensorFlow executes, using untrusted models or graphs is equivalent to running untrusted code. If you need to run untrusted models, execute them inside a
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s, const char* name = "feed", TF_DataType dtype = TF_INT32, const std::vector<int64_t>& dims = {}); TF_Operation* Const(TF_Tensor* t, TF_Graph* graph, TF_Status* s, const char* name = "const"); TF_Operation* ScalarConst(bool v, TF_Graph* graph, TF_Status* s,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
AbstractContext* BuildFunction(const char* fn_name) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_ExecutionContext* graph_ctx = TF_CreateFunction(fn_name, status.get()); return unwrap(graph_ctx); } Status CreateParamsForInputs(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0)