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tensorflow/c/eager/c_api_unified_experimental_internal.h
// This holds the context for the execution: dispatching operations either to an // MLIR implementation or to a graph implementation. class TracingContext : public AbstractContext { protected: explicit TracingContext(AbstractContextKind kind) : AbstractContext(kind) {} public: // Add a function parameter and return the corresponding tensor. virtual absl::Status AddParameter(DataType dtype,Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat Oct 12 05:11:17 GMT 2024 - 5.2K bytes - Click Count (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
}; // GraphContext wraps a TF_Graph modeling a single function and manages the // "execution" of operation, i.e. adding them to the function. class GraphContext : public TracingContext { public: explicit GraphContext(const char* name) : TracingContext(kGraph), graph_(new TF_Graph(), TF_DeleteGraph), name_(name) {} void Release() override { delete this; }
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Sat May 31 07:13:41 GMT 2025 - 15.7K bytes - Click Count (0)