law batched_build_balanced
import bendtorch-core@0.1.0.0/src/tensor/batched_matmul_LAWS.bend as BatchedMatmulLAWSimport Base
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/tensor/batched_matmul.bend as Batched
161# The build is a balanced tree of its depth, whatever the split: the
162# certificate the output storage carries.
163law batched_build_balanced:
164 for +depth: Nat
165 for +splits: Nat
166 for +given: Batched.Layout
167 for +count: Nat
168 for +base: Nat
169 for la: Array<F32>
170 for ra: Array<F32>
171 Model.Balanced(F32, depth, Batched.build(depth, splits, given, count, base, la, ra))
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