def copy_read
bendtorch-core@0.1.0.0 · src/tensor/transforms.bend:69
import bendtorch-core@0.1.0.0/src/tensor/transforms.bend as Transforms
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/layout.bend as Layout
69def copy_read(-input: Shape.Shape, -axes: List<&2, U32>, +plan: Layout.Plan<input, axes>, i: U32,
70 rec: Core.Tensor<input> -> Core.Tensor<Layout.output(input, axes, plan)> ->
71 Core.Tensor<input> & Result<&2, &1, Error, Core.Tensor<Layout.output(input, axes, plan)>>,
72 target: Core.Tensor<Layout.output(input, axes, plan)>, pair: Core.Tensor<input> & Result<&2, &2, Core.Error, F32>) ->
73 Core.Tensor<input> & Result<&2, &1, Error, Core.Tensor<Layout.output(input, axes, plan)>>:
74 (source, result) = pair
75 match result:
76 case Fail{error}:
77 (source, Fail{TensorError{error}})
78 case Done{value}:
79 copy_written(input, axes, plan, rec, source,
80 Core.write_flat(Layout.output(input, axes, plan), target, i, value))