cubecl-matmul 0.9.0-pre.2

CubeCL Matrix Multiplication Kernels Engine
Documentation

cubecl-matmul

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 26 feature flags, 1 of them enabled by default.

default

std (default)

export_tests

matmul_tests_all

matmul_tests_alt_shapes

This feature flag does not enable additional features.

matmul_tests_barrier

This feature flag does not enable additional features.

matmul_tests_base

matmul_tests_cyclic

This feature flag does not enable additional features.

matmul_tests_double

This feature flag does not enable additional features.

matmul_tests_f16

This feature flag does not enable additional features.

matmul_tests_f32

This feature flag does not enable additional features.

matmul_tests_hybrid

This feature flag does not enable additional features.

matmul_tests_hypercube

This feature flag does not enable additional features.

matmul_tests_layouts

This feature flag does not enable additional features.

matmul_tests_mma

This feature flag does not enable additional features.

matmul_tests_ordered

This feature flag does not enable additional features.

matmul_tests_partition_buffering

This feature flag does not enable additional features.

matmul_tests_plane

This feature flag does not enable additional features.

matmul_tests_simple

This feature flag does not enable additional features.

matmul_tests_specialized

This feature flag does not enable additional features.

matmul_tests_strided

This feature flag does not enable additional features.

matmul_tests_swizzle

This feature flag does not enable additional features.

matmul_tests_tilewise

This feature flag does not enable additional features.

matmul_tests_tma

This feature flag does not enable additional features.

matmul_tests_unit

This feature flag does not enable additional features.

matmul_tests_vecmat

This feature flag does not enable additional features.

pretty_assertions