BroadcastLAWS.broadcast_mapping: law of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/broadcast_LAWS.bend as BroadcastLAWS
Lines 68-74 of bendtorch-core@0.1.0.0/src/autograd/broadcast_LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/broadcast_LAWS.bend&start_line=68&end_line=74

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

# On success the output has the target's dimensions, and each in-bounds output
# position observes the input at the offset that the independent broadcast
# projection specification assigns to it.
law broadcast_mapping:
  for input: Core.Dynamic
  for +target: Shape.Shape
  MappingModel<input, target, Broadcast.broadcast_to(input, target)>

Uses (9):
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/broadcast.bend&name=broadcast_to
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/broadcast_LAWS.bend&name=Mapping
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/broadcast_LAWS.bend&name=MappingModel
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/broadcast_PROOF.bend&name=WithModel
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/broadcast_PROOF.bend&name=planned_mapping
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=Shape
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=broadcast_checked
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/plan_proofs.bend&name=broadcast_checked_plan
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=Dynamic