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tensorflow/c/c_api.h
// i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2... // // `dx` are used as initial gradients (which represent the symbolic partial // derivatives of some loss function `L` w.r.t. `y`). // `dx` must be nullptr or have size `ny`. // If `dx` is nullptr, the implementation will use dx of `OnesLike` for all // shapes in `y`.
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
op_tape_.erase(op_it); } // Terminology: // // - op: a possibly composite operation, which has an entry in the tape // - target: dy in dx/dy // - source: dx in dx/dy // - tensor: one of the many inputs or outputs of an operation // // Below here we do the gradient algorithm. It works as follows: //
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)