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))

Uses (14)

Used by (7)