TensorChainLAWS.seeds: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/tensor_chain_LAWS.bend as TensorChainLAWS
Lines 147-152 of bendtorch-core@0.1.0.0/src/autograd/tensor_chain_LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_chain_LAWS.bend&start_line=147&end_line=152

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/gradient.bend as Gradient
import bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend as Backward

# The starting working gradients of a backward from the entry with older
# entries below it and newer entries above it: no gradient for the newer
# entries, ones of the output's shape at the output, as PyTorch's
# backward(torch.ones_like(output)), and no gradient below.
def seeds(+newer: Nat, +shape: Shape.Shape, ones: Core.Tensor<shape>, +older: Nat) -> List<&1, Gradient.Slot>:
  List.append(&1, Gradient.Slot, Backward.unsets(newer), Gradient.Held{Core.Packed{shape, ones}} <> Backward.unsets(older))

Uses (8):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List.append
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/gradient.bend&name=Slot
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend&name=unsets
  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/tensor/core.bend&name=Dynamic
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=Tensor