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composable_kernel/test/ck_tile
msaffari-amd 5348b577ed [rocm-libraries] ROCm/rocm-libraries#5863 (commit 31d9247)
[CK_TILE] Separate PermuteN epilogue from CShuffle epilogue
 into standalone file (#5863)
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## Motivation

The PermuteN epilogue was previously embedded within
cshuffle_epilogue.hpp, despite having fundamentally different behaviour.
Coupling these two independent strategies in one file introduced
unnecessary complexity, SFINAE guards, and a dual operator() overload
selected at compile time via TiledMMAPermuteN_ template parameter.

This PR separates PermuteN into its own standalone
file(pertmuten_epilogue.hpp), simplifying both implementations and
making the codebase easier to maintain and extend independently.

## Technical Details

**New file: permuten_epilogue.hpp:**
contains PermuteNEpilogueProblem and PermuteNEpilogue, extracted from
the permuteN code path in cshuffle_epilogue.hpp.

**Cleanup of cshuffle_epilogue.hpp:**

- Removed the TiledMMAPermuteN_ template parameter from
[CShuffleEpilogueProblem]
- Removed the SFINAE-guarded permuteN operator() overload
- Removed the EnablePermuateN_ SFINAE alias
- CShuffle now only contains CShuffle logic; EightWave support
(independent feature) is retained

**Consumer migration :**
All consumer files now use compile-time epilogue selection via
[std::conditional_t]

`using GemmEpilogue = std::conditional_t<
    TiledMMAPermuteN,
    PermuteNEpilogue<PermuteNEpilogueProblem<...>>,
    CShuffleEpilogue<CShuffleEpilogueProblem<...>>>;`

**Files modified:**

- flatmm_basic.cpp, moe_flatmm.cpp, a16w4_moe_flatmm.cpp,
mixed_prec_flatmm.cpp, mx_flatmm_instance.hpp — flatmm examples
- run_gemm_quant_example.inc — block-scale GEMM example
- gemm_weight_preshuffle_invoker.hpp — weight preshuffle invoker
- test_gemm_quant_fixtures.hpp, test_gemm_persistent_async_input.cpp,
test_gemm_pipeline_util.hpp — test utilities
- universal_gemm_invoker.hpp — universal GEMM invoker
- epilogue.hpp — add header updated to include permuten_epilogue.hpp

## Submission Checklist

- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
2026-04-14 20:23:26 +00:00
..
2026-02-02 16:04:40 +08:00

CK Tile Testing Guide

This document describes the test organization and available test targets for CK Tile operations.

Overview

CK Tile tests are organized with multiple levels of granularity to support different development workflows:

  1. Global test labels - Run tests across all operations
  2. Operation-specific umbrella targets - Run all tests for a specific operation
  3. Individual test executables - Run specific tests

Global Test Labels

These targets run tests across all CK operations (not just CK Tile):

ninja smoke

Run fast smoke tests (tests that complete within ~30 seconds on gfx90a).

ninja smoke

ninja regression

Run slower, more comprehensive regression tests.

ninja regression

ninja check

Run ALL available tests in the entire codebase.

ninja check

Operation-Specific Umbrella Targets

These targets allow you to run all tests for a specific CK Tile operation. This is useful when making changes to a particular operation and wanting to validate all related tests without running the entire test suite.

GEMM Operations

ck_tile_gemm_tests

Run all basic GEMM pipeline tests (memory, compute variants, persistent, etc.)

ninja ck_tile_gemm_tests

Test executables included:

  • test_ck_tile_gemm_pipeline_mem
  • test_ck_tile_gemm_pipeline_compv3
  • test_ck_tile_gemm_pipeline_compv4
  • test_ck_tile_gemm_pipeline_persistent
  • test_ck_tile_gemm_pipeline_compv6
  • test_ck_tile_gemm_pipeline_comp_async (gfx95 only)
  • test_ck_tile_gemm_pipeline_*_wmma variants (gfx11/gfx12 only)

ck_tile_gemm_block_scale_tests

Run all GEMM tests with block-scale quantization (AQuant, BQuant, ABQuant, etc.)

ninja ck_tile_gemm_block_scale_tests

Test executables included: 29 test executables covering:

  • AQuant tests (memory pipelines, base layouts, prefill, preshuffle, transpose)
  • ABQuant tests (base, padding, preshuffle)
  • BQuant tests (1D/2D variants, transpose)
  • BQuant with PreshuffleB (decode/prefill, 1D/2D)
  • BQuant with PreshuffleQuant (decode/prefill, 1D/2D)
  • RowColQuant and TensorQuant tests

ck_tile_gemm_streamk_tests

Run all GEMM StreamK tests (tile partitioner, reduction, smoke, extended)

ninja ck_tile_gemm_streamk_tests

Test executables included:

  • test_ck_tile_streamk_tile_partitioner
  • test_ck_tile_streamk_reduction
  • test_ck_tile_streamk_smoke
  • test_ck_tile_streamk_extended

ck_tile_grouped_gemm_quant_tests

Run all grouped GEMM quantization tests

ninja ck_tile_grouped_gemm_quant_tests

Test executables included:

  • test_ck_tile_grouped_gemm_quant_rowcol
  • test_ck_tile_grouped_gemm_quant_tensor
  • test_ck_tile_grouped_gemm_quant_aquant
  • test_ck_tile_grouped_gemm_quant_bquant
  • test_ck_tile_grouped_gemm_quant_bquant_preshuffleb

Other Operations

ck_tile_fmha_tests

Run all FMHA (Flash Multi-Head Attention) tests

ninja ck_tile_fmha_tests

Test executables included: Forward and backward tests for fp16, bf16, fp8bf16, fp32

ck_tile_reduce_tests

Run all reduce operation tests

ninja ck_tile_reduce_tests

Test executables included:

  • test_ck_tile_reduce2d
  • test_ck_tile_multi_reduce2d_threadwise
  • test_ck_tile_multi_reduce2d_multiblock

Individual Test Executables

You can also build and run individual test executables:

Build a specific test

ninja test_ck_tile_gemm_pipeline_mem

Run a specific test directly

./build/bin/test_ck_tile_gemm_pipeline_mem

Run a specific test through ctest

ctest -R test_ck_tile_gemm_pipeline_mem --output-on-failure