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tensorflow/c/c_api.h
// Function definition options. TODO(iga): Define and implement typedef struct TF_FunctionOptions TF_FunctionOptions; // Sets the shape of the Tensor referenced by `output` in `graph` to // the shape described by `dims` and `num_dims`. // // If the number of dimensions is unknown, `num_dims` must be set to // -1 and `dims` can be null. If a dimension is unknown, the // corresponding entry in the `dims` array must be -1. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/tape.h
std::unordered_map<int64_t, int64_t> tensor_usage_; // If false, all activations are deleted in the first call to ComputeGradient. // Else, only when this is destructed. bool persistent_; }; // Describes a callback for special-cased and more efficient jvp computation. // // Could just be a simple typedef in ForwardAccumulator, but MSVC chokes on // that. template <typename Gradient> class ForwardFunction
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
public: // For LLVM style RTTI. static bool classof(const AbstractTensorHandle* ptr) { return ptr->getKind() == kGraph || ptr->getKind() == kMlir; } }; // An abstract operation describes an operation by its type, name, and // attributes. It can be "executed" by the context with some input tensors. // It is allowed to reusing the same abstract operation for multiple execution
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)