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tensorflow/c/c_api.h
// // Questions left to address: // * Might at some point need a way for callers to provide their own Env. // * Maybe add TF_TensorShape that encapsulates dimension info. // // Design decisions made: // * Backing store for tensor memory has an associated deallocation // function. This deallocation function will point to client code // for tensors populated by the client. So the client can do things // like shadowing a numpy array.
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/c_api_experimental.h
// off, and an execution operation for named operations. Often execution will // simply wrap op execution on one or more physical devices. // // device_info is an opaque caller-defined type stored with the custom device // which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. //
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tensorflow/c/eager/tape.h
// function and deleted (as the backprop code creates lots of gradients the user // is not interested in). // // BackwardFunction needs to be a closure which stores intermediate activations // from the forward computation and calls a vector-jacobian product function // (also known as adjoint function) to compute, given downstream gradients, // upstream gradients. //
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/gradients.h
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each // op executed under the tape. A separate map (`tensorflow::eager::OpTape`) // maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined // allow us to trace the data dependencies between operations and hence compute // gradients. //
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tensorflow/c/checkpoint_reader.h
// partitioned tensor are combined into a single entry. const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const; // Attempts to look up the tensor named "name" and stores the found result in // "out_tensor". void GetTensor(const string& name, std::unique_ptr<tensorflow::Tensor>* out_tensor, TF_Status* out_status) const; private:
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