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def vjp_mul

bendtorch-core@0.1.0.0 · src/autograd/tensor_backward.bend:259

import bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend as TensorBackward
import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
import bendtorch-core@0.1.0.0/src/tensor/elementwise.bend as Elementwise

259# d(a*b)/da: g * right; d(a*b)/db: g * left, with the operand values saved
260# at record time, each product reduced to its operand's shape.
261def vjp_mul(+a: Nat, +b: Nat, +left: Shape.Shape, +right: Shape.Shape, saved: Saved, g: Core.Dynamic) -> Pass:
262  match saved:
263    case Unsaved{}:
264      Pass{Unsaved{}, g, Fail{TensorError{Core.StorageLengthMismatch{}}}}
265    case Operands{x, y}:
266      multiplied_first(a, b, left, right, x, Elementwise.mul(g, y))

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