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def vjp_sum

bendtorch-core@0.1.0.0 · src/autograd/tensor_backward.bend:276

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/autograd/broadcast.bend as Broadcast

276# d(sum a)/da: g broadcast to a's shape, as PyTorch's g.expand(a.shape).
277def vjp_sum(+a: Nat, +input: Shape.Shape, g: Core.Dynamic) -> Pass:
278  expanded(a, input, Broadcast.broadcast_to(g, input))

Uses (6)

Used by (3)