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tensorflow/c/eager/tape.h
// watched and not the result of any operation in the tape. using TensorTape = std::unordered_map<int64_t, int64_t>; // Map from operation-id to tape entry. template <typename BackwardFunction, typename TapeTensor> using OpTape = std::unordered_map<int64_t, OpTapeEntry<BackwardFunction, TapeTensor>>; // Operations the tape needs to perform on tensors to do backpropagation. Named
C - Registered: Tue Apr 23 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
// the op that produced it (or -1 if this tensor was watched using // `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
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)