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3233 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Thrupti Raj Lakshmana Gowda
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c85c272c39 |
[rocm-libraries] ROCm/rocm-libraries#4996 (commit 0a47fbe)
[CK TILE ENGINE] Add grouped_gemm operator to Tile Engine (gfx942/gfx950) (#4996) ## Motivation The grouped_gemm CK Tile kernel exists (e.g., `example/17_grouped_gemm/`) but has no Tile Engine wrapper. Grouped GEMM handles multiple independent GEMM problems with varying M/N/K dimensions in a single kernel launch. This PR adds the Tile Engine infrastructure for automated kernel generation, benchmarking, and profiling of grouped GEMM kernels. Jira: AICK-809 ## Technical Details - Created Tile Engine wrapper under `tile_engine/ops/gemm/grouped_gemm/` following the `gemm_universal` template - Files added: `CMakeLists.txt`, `grouped_gemm_common.hpp`, `grouped_gemm_benchmark.hpp`, `grouped_gemm_profiler.hpp`, `grouped_gemm_benchmark.py`, `grouped_gemm_benchmark_single.cpp`, `grouped_gemm_instance_builder.py`, `configs/` - Supported datatypes: fp16, fp8, bf16, bf8 - Supported layouts: rcr, rrr, ccr, crr - Target GPUs: gfx942, gfx950 - CK Tile kernel: `ck_tile::GroupedGemmKernel` from `include/ck_tile/ops/gemm/kernel/grouped_gemm_kernel.hpp` - Instance builder extends `GemmKernelBuilder` base class - Registered in `tile_engine/ops/gemm/CMakeLists.txt` - Updated Jenkinsfile to build and benchmark grouped_gemm targets in CI - Benchmark infrastructure includes JSON output, CSV export, and verification support ## Test Plan - CMake configure succeeds for grouped_gemm targets - Kernel instance builder generates valid kernel headers for all (datatype, layout) combinations - At least one kernel binary compiles and runs per datatype/layout combination - Correctness passes with `--verify 1` on gfx942/gfx950 ## Test Result ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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John Shumway
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9f47b8a63d |
[rocm-libraries] ROCm/rocm-libraries#5284 (commit 76b5b15)
[CK_BUILDER] Add DeviceGroupedConvFwdMultipleABD_Wmma_CShuffle_V3 to CK Builder (#5284) Add factory, InstanceTraits, and conv traits support for the WMMA V3 forward convolution kernel, enabling the CK Builder to generate and dispatch this kernel variant used by MIOpen on gfx11/gfx12 GPUs. ## Motivation As reported in issue #4944, MIOpen includes WMMA V3 forward convolution kernels, so this PR adds support for those kernels similarly to other supported kernels. ## Technical Details This follows the same implementation as the other kernels. I added some support for reflection, but I left a few todos since we need to generalize our convolution traits to generalize across WMMA/MFMA and CK/CKTile. ## Test Plan Added faster tests to `ninja smoke-builder` that check the instance-traits logic, and I added longer tests that instantiate kernels, following the existing pattern in other kernals. ## Test Result I tested all code with `ninja check-builder` on a gfx1101 build and ran on gfx1101. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Brock Hargreaves
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26d29374e5 |
[rocm-libraries] ROCm/rocm-libraries#5213 (commit 9f7e62c)
[CK] Fix warp tile combination selection in absence of a GPU (#5213) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation The `get_gpu_name_by_id()` function in `gemm_streamk_validation_utils.py` relies on `rocminfo` to detect the GPU architecture at runtime. However, __`rocminfo` fails in CI/build environments__ where: - No physical GPU is present - ROCm tools are not installed - The build is running in a container without GPU access In any of these environments, the problem manifests itself in incorrect kernel validation and will generate template instantiations that do not exist: ``` [composable_kernel] FAILED: test/ck_tile/gemm_streamk_tile_engine/CMakeFiles/test_gemm_streamk_tile_engine_fp16_rcr_streamk_atomic_smoke_tests_config_fp16_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.dir/test_gemm_streamk_simple.cpp.o [composable_kernel] /__w/TheRock/TheRock/build/core/clr/dist/lib/llvm/bin/clang++ -DCK_ENABLE_BF16 -DCK_ENABLE_BF8 -DCK_ENABLE_FP16 -DCK_ENABLE_FP32 -DCK_ENABLE_FP64 -DCK_ENABLE_FP8 -DCK_ENABLE_INT8 -DCK_ENABLE_TF32 -DCK_TILE_USE_WMMA=0 -DCK_TIME_KERNEL=1 -DCK_USE_FNUZ_FP8 -DCK_USE_GFX94 -DCK_USE_XDL -DDPP_KERNELS -DGEMM_SINGLE_INSTANCE_HPP=\"/__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/test/ck_tile/gemm_streamk_tile_engine/fp16/rcr/streamk_atomic_smoke_tests_config_fp16/gemm_streamk_single_fp16_rcr_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.hpp\" -DGEMM_TEST_PARAMS_HPP=\"/__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/test/ck_tile/gemm_streamk_tile_engine/fp16/rcr/streamk_atomic_smoke_tests_config_fp16/test_params.hpp\" -DUSE_PROF_API=1 -D__HIP_PLATFORM_AMD__=1 -D__HIP_PLATFORM_HCC__=1 -D__HIP_ROCclr__=1 -I/__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/profiler/include -I/__w/TheRock/TheRock/rocm-libraries/projects/composablekernel -I/__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/library/include -I/__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/include -I/__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/include -I/__w/TheRock/TheRock/build/profiler/rocprofiler-sdk/stage/include -I/__w/TheRock/TheRock/build/profiler/roctracer/stage/include -I/__w/TheRock/TheRock/build/base/half/stage/include -I/__w/TheRock/TheRock/build/third-party/sysdeps/linux/libdrm/build/stage/lib/rocm_sysdeps/include -isystem /__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/_deps/gtest-src/googletest/include -isystem /__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/_deps/gtest-src/googletest -O3 -DNDEBUG -std=gnu++20 --offload-arch=gfx942 -Wall -Wextra -Wcomment -Wendif-labels -Wformat -Winit-self -Wreturn-type -Wsequence-point -Wswitch -Wtrigraphs -Wundef -Wuninitialized -Wunreachable-code -Wunused -Wno-reserved-identifier -Wno-option-ignored -Wsign-compare -Wno-extra-semi-stmt -Wno-unused-template -Wno-missing-field-initializers -Wno-error=deprecated-declarations -Wall -Wextra -Wcomment -Wendif-labels -Wformat -Winit-self -Wreturn-type -Wsequence-point -Wswitch -Wtrigraphs -Wundef -Wuninitialized -Wunreachable-code -Wunused -Wno-reserved-identifier -Wno-option-ignored -Wsign-compare -Wno-extra-semi-stmt -Wno-unused-template -Weverything -Wno-c++98-compat -Wno-c++98-compat-pedantic -Wno-conversion -Wno-double-promotion -Wno-exit-time-destructors -Wno-extra-semi -Wno-float-conversion -Wno-gnu-anonymous-struct -Wno-gnu-zero-variadic-macro-arguments -Wno-missing-prototypes -Wno-nested-anon-types -Wno-padded -Wno-return-std-move-in-c++11 -Wno-shorten-64-to-32 -Wno-sign-conversion -Wno-unknown-warning-option -Wno-unused-command-line-argument -Wno-weak-vtables -Wno-covered-switch-default -Wno-unsafe-buffer-usage -Wno-unused-lambda-capture -Wno-nvcc-compat -Wno-c++20-compat -Wno-bit-int-extension -Wno-pass-failed -Wno-switch-default -Wno-unique-object-duplication -fbracket-depth=1024 -Wno-nrvo -fno-offload-uniform-block -mllvm --lsr-drop-solution=1 -mllvm -enable-post-misched=0 -mllvm -amdgpu-early-inline-all=true -mllvm -amdgpu-function-calls=false -Werror -Weverything -fcolor-diagnostics -Wno-c++20-extensions -Wno-global-constructors -Wno-undef -Wno-undefined-func-template -Wno-float-equal --offload-compress -include /__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/test/ck_tile/gemm_streamk_tile_engine/fp16/rcr/streamk_atomic_smoke_tests_config_fp16/gemm_streamk_single_fp16_rcr_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.hpp -MD -MT test/ck_tile/gemm_streamk_tile_engine/CMakeFiles/test_gemm_streamk_tile_engine_fp16_rcr_streamk_atomic_smoke_tests_config_fp16_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.dir/test_gemm_streamk_simple.cpp.o -MF test/ck_tile/gemm_streamk_tile_engine/CMakeFiles/test_gemm_streamk_tile_engine_fp16_rcr_streamk_atomic_smoke_tests_config_fp16_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.dir/test_gemm_streamk_simple.cpp.o.d -o test/ck_tile/gemm_streamk_tile_engine/CMakeFiles/test_gemm_streamk_tile_engine_fp16_rcr_streamk_atomic_smoke_tests_config_fp16_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.dir/test_gemm_streamk_simple.cpp.o -x hip -c /__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/test/ck_tile/gemm_streamk_tile_engine/test_gemm_streamk_simple.cpp [composable_kernel] In file included from <built-in>:2: [composable_kernel] In file included from /__w/TheRock/TheRock/build/ml-libs/composable_kernel/build/test/ck_tile/gemm_streamk_tile_engine/fp16/rcr/streamk_atomic_smoke_tests_config_fp16/gemm_streamk_single_fp16_rcr_compv3_cshuffle_intrawave_atomic_False_False_False_False_256x256x32_2x2x1_16x16x8.hpp:9: [composable_kernel] In file included from /__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/include/ck_tile/ops/gemm.hpp:23: [composable_kernel] In file included from /__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/include/ck_tile/ops/gemm/block/block_gemm_asmem_bsmem_creg_v1.hpp:7: [composable_kernel] In file included from /__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/include/ck_tile/ops/gemm/block/block_gemm_asmem_bsmem_creg_v1_default_policy.hpp:8: [composable_kernel] /__w/TheRock/TheRock/rocm-libraries/projects/composablekernel/include/ck_tile/ops/gemm/warp/warp_gemm_dispatcher.hpp:185:1: error: implicit instantiation of undefined template 'ck_tile::impl::warp_gemm_dispatcher::Dispatcher<_Float16, _Float16, float, 16, 16, 8, false, false, false, ck_tile::WGAttrNumAccessEnum::Single, ck_tile::WGAttrNumAccessEnum::Single>' ``` ## Technical Details ### Changes Made: #### 1. __gemm_streamk_validation_utils.py__ - Added module-level storage: `_configured_gpu_targets` - Added `set_gpu_targets(targets: List[str])` to configure fallback GPU targets - Added `get_configured_gpu_targets() -> List[str]` to retrieve configured targets - Enhanced `get_gpu_name_by_id()` to: - First try `rocminfo` (existing behavior) - If `rocminfo` fails, fall back to first configured GPU target - Extract base gfx name (e.g., "gfx90a" from "gfx90a:xnack+") - Log debug messages when using fallback #### 2. __gemm_streamk_instance_builder.py__ - Added `--gpu_targets` command-line argument - Automatically calls `set_gpu_targets()` when `--gpu_targets` is provided - Parses semicolon-separated GPU target list from CMake #### 3. __test/ck_tile/gemm_streamk_tile_engine/CMakeLists.txt__ - Modified both `--list_kernels` and `--gen_single` invocations to pass `--gpu_targets "${SUPPORTED_GPU_TARGETS}"` - GPU targets are now automatically wired from CMake to Python scripts ### How It Works: 1. __CMake Configuration__: `SUPPORTED_GPU_TARGETS` is determined from `GPU_TARGETS` or defaults 2. __CMake → Python__: CMake passes targets via `--gpu_targets` argument to Python scripts 3. __Python Configuration__: Scripts call `set_gpu_targets()` to configure the fallback 4. __Fallback Mechanism__: When `rocminfo` fails, `get_gpu_name_by_id()` uses the first configured target 5. __Target Parsing__: Extracts clean gfx name (e.g., "gfx90a" from "gfx90a:xnack+") ## Test Plan Confirm that only the appropriate kernels are selected and that CI passes. ## Test Result 1. Waiting on CI 2. Compilation succeeded locally and the kernel list does not contain the 16x16x8 kernel for gfx942 anymore: ``` (.venv) bhargrea@ctr-cx66-mi300x-02:~/github/TheRock$ cat build/ml-libs/composable_kernel/build/test/ck_tile/gemm_streamk_tile_engine/fp16/rcr/streamk_atomic_smoke_tests_config_fp16/gemm_kernel_list.txt gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_True_256x256x32_2x2x1_16x16x16|256x256x32_2x2x1_16x16x16|compv3_cshuffle_intrawave_atomic_False_False_False_True gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_False_256x256x32_2x2x1_16x16x16|256x256x32_2x2x1_16x16x16|compv3_cshuffle_intrawave_atomic_False_False_False_False gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_True_256x256x32_2x2x1_16x16x32|256x256x32_2x2x1_16x16x32|compv3_cshuffle_intrawave_atomic_False_False_False_True gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_False_256x256x32_2x2x1_16x16x32|256x256x32_2x2x1_16x16x32|compv3_cshuffle_intrawave_atomic_False_False_False_False gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_True_256x256x32_2x2x1_32x32x8|256x256x32_2x2x1_32x32x8|compv3_cshuffle_intrawave_atomic_False_False_False_True gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_False_256x256x32_2x2x1_32x32x8|256x256x32_2x2x1_32x32x8|compv3_cshuffle_intrawave_atomic_False_False_False_False gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_True_256x256x32_2x2x1_32x32x16|256x256x32_2x2x1_32x32x16|compv3_cshuffle_intrawave_atomic_False_False_False_True gemm_fp16_rcr_compv3_cshuffle_intrawave_Atomic_False_False_False_False_256x256x32_2x2x1_32x32x16|256x256x32_2x2x1_32x32x16|compv3_cshuffle_intrawave_atomic_False_False_False_False ``` ## Submission Checklist - [ x ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Sami Remes
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8f27f65d44 |
[rocm-libraries] ROCm/rocm-libraries#4594 (commit 1fce4cb)
[CK_TILE] MX GEMM non-preshuffled RCR layout ## Motivation Implements a GEMM with MX scaling for fp4 and fp8 in non-preshuffled layouts using async pipeline. ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Max Podkorytov
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b8def2c724 |
[rocm-libraries] ROCm/rocm-libraries#5041 (commit 481aecc)
[CK] Precompute SpaceFillingCurve indices to reduce compile time by 31% (#5041) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Summary Optimize `SpaceFillingCurve` in CK to reduce compile time by precomputing all index values into a static constexpr lookup table. ### Problem - `GetIndex<N>` was instantiated separately for every index value (0 to NumAccesses-1) - Each instantiation triggered nested `static_for` loops with O(N²) template depth - This caused **34,000+ template instantiations** taking **69 seconds** in frontend ### Solution - Add `IndexLookupTable<NumAccesses, nDim>` to store all precomputed indices - Add `compute_single_index()` helper using O(N) `static_for` loops - Add `compute_all_indices()` to build entire table in one constexpr evaluation - `GetIndex<N>` becomes simple array lookup: `return index_table[N]` ### Results (conv2d_fwd_xdl_nhwc_kyxc_nhwk_f16_instance.cpp) | Metric | Before | After | Improvement | |--------|--------|-------|-------------| | Total compile time | 120.4s | 83.6s | **-31%** | | Frontend time | 88.7s | 52.6s | **-41%** | | GetIndex instantiations | 34,176 | 384 | **-99%** | | GetIndex time | 69.0s | 0.11s | **-99.8%** | | SpaceFillingCurve time | 75.7s | 4.3s | **-94%** | ## Test plan - [x] Builds successfully with `-Werror -Weverything` - [ ] Run existing unit tests - [ ] Verify numerical correctness on sample kernels 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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Brock Hargreaves
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51537eb189 |
[rocm-libraries] ROCm/rocm-libraries#5165 (commit 8df295c)
[CK] Streamk tile engine test not setting a reasonable CU_COUNT default when the query fails (#5165) ## Motivation The following error was coming up when compiling on Windows when the generate_configs.py file tries to query the GPU for the number of CU's: ``` [composable_kernel configure] -- Generating Stream-K test config files for fp16 [composable_kernel configure] Traceback (most recent call last): [composable_kernel configure] File "E:\TheRock\rocm-libraries\projects\composablekernel\test\ck_tile\gemm_streamk_tile_engine\generate_configs.py", line 277, in <module> [composable_kernel configure] main() [composable_kernel configure] ~~~~^^ [composable_kernel configure] File "E:\TheRock\rocm-libraries\projects\composablekernel\test\ck_tile\gemm_streamk_tile_engine\generate_configs.py", line 271, in main [composable_kernel configure] cu_count, configs_dir_path, tile_sizes, datatype = get_args() [composable_kernel configure] ~~~~~~~~^^ [composable_kernel configure] File "E:\TheRock\rocm-libraries\projects\composablekernel\test\ck_tile\gemm_streamk_tile_engine\generate_configs.py", line 267, in get_args [composable_kernel configure] return (int(args.cu_count), args.configs_dir_path, args.tiles, args.datatype) [composable_kernel configure] ~~~^^^^^^^^^^^^^^^ [composable_kernel configure] ValueError: invalid literal for int() with base 10: 'Exit code 0xc0000135\n' [composable_kernel configure] CMake Error at test/ck_tile/gemm_streamk_tile_engine/generate_configs.cmake:98 (message): [composable_kernel configure] Eror occured during execution of [composable_kernel configure] E:/TheRock/rocm-libraries/projects/composablekernel/test/ck_tile/gemm_streamk_tile_engine/generate_configs.py [composable_kernel configure] Call Stack (most recent call first): [composable_kernel configure] test/ck_tile/gemm_streamk_tile_engine/CMakeLists.txt:301 (generate_test_configs) [composable_kernel configure] [composable_kernel configure] [composable_kernel configure] -- Configuring incomplete, errors occurred! [composable_kernel configure FAILED WITH CODE 1 in 41 seconds] ninja: build stopped: subcommand failed. ``` ## Technical Details There was one major problem in the following code and two changes were made: ``` execute_process( COMMAND ${CPP_EXE_PATH} OUTPUT_STRIP_TRAILING_WHITESPACE ERROR_VARIABLE standard_error RESULT_VARIABLE queried_cu_count ) if (standard_error) message(STATUS "Error information from attempting to query HIP device and properties:\n" "${standard_error}") endif() ``` 1. RESULT_VARIABLE does not capture the IO output of the executable, but rather the exit code. You can see from the error output here that it was trying to cast "Exit code 0xc0000135\n" to an integer. I fixed this by changing RESULT_VARIABLE to OUTPUT_VARIABLE. ``` [composable_kernel configure] ValueError: invalid literal for int() with base 10: 'Exit code 0xc0000135\n' ``` Note that this also gives us the reason that the query failed: Exit code 0xc0000135, which needs to be addressed in a separate issue: "Exit code 0xc0000135, also seen as -1073741515, is a Windows error indicating that an application failed to start because a required Dynamic Link Library (DLL) file or a system component like the .NET Framework is missing or corrupted" It's likely the executable that is created from this code can't find the hip dll, or something similar: ``` set(CPP_FILE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cu_count.cpp) set(CPP_EXE_PATH ${CMAKE_CURRENT_BINARY_DIR}/cu_count) execute_process( COMMAND ${CMAKE_HIP_COMPILER} -x hip ${CPP_FILE_PATH} -o ${CPP_EXE_PATH} RESULT_VARIABLE compile_result ) ``` 2. For clarity and consistency purposes, I changed the check afterwards to explicitly look for a non-zero exit code. This matches previous checks in the cmake file. I also added improved error checking when the query for the cu count fails. ## Test Plan Ensure it compiles locally and existing CI isn't impacted. ## Test Result Waiting on CI. ## Submission Checklist - [ x ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Hosang
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c800f88911 |
[rocm-libraries] ROCm/rocm-libraries#5088 (commit 36ca523)
[CK_TILE] Update gfx11 FMHA forward kernel configs ## Motivation Tune gfx11 FMHA codegen to recover performance for mainly PSSK (padded seqlen_q/k) cases. This tuning is based on heuristic search and improves performance in most tested shapes. Performance should be evaluated on top of [`ROCm/rocm-libraries#5018`](https://github.com/ROCm/rocm-libraries/pull/5018) (required baseline). ## Technical Details - Updated gfx11 codegen heuristic choices for tile size and occupancy. - Updated gfx11 pipeline selection: - Disabled the `npad` (`f,f,f,f`) qr entry because it was consistently slower than the `pssk` (`t,t,f,f`) path, and kept `pssk` enabled so npad cases are dispatched to the faster kernel path.` - Kept gfx12 unchanged: with PSSK support from [`ROCm/rocm-libraries#4957`](https://github.com/ROCm/rocm-libraries/pull/4957), existing gfx12 config is already sufficient. - Tuning rationale: - In some cases, higher `kBlockPerCu` lowers register pressure. - On RDNA, this generally aligns with better performance when `waves_per_eu >= 6`. ## Test Plan - test_ck_tile_fmha - tile_example_fmha_fwd: tested this on gfx1100 and gfx1151 ./build/bin/tile_example_fmha_fwd -prec=bf16 -mode={0/1} -b=1 -h=24 -d=128 -s={seqlen} -s_k={seqlen} -lse=0 -iperm={0/1} -operm={0/1} ## Test Result - TFLOPs by sequence length target: `gfx1100` layout: `bhsd` - mode: batch / VGPR usage: 225 vs 214 SeqLen | Baseline | Tuned | Gain -- | -- | -- | -- 1024 | 74.10 | 71.97 | 0.97x 4096 | 66.26 | 77.79 | 1.17x 8192 | 68.18 | 75.88 | 1.11x 12288 | 68.47 | 80.44 | 1.17x 16384 | 59.54 | 79.66 | 1.34x 20480 | 55.78 | 77.91 | 1.40x 24576 | 55.08 | 77.47 | 1.41x 27280 | 47.45 | 77.16 | 1.63x - mode: group / VGPR usage: 256 vs 214 SeqLen | Baseline | Tuned | Gain -- | -- | -- | -- 1024 | 71.47 | 70.6 | 0.99x 4096 | 64.74 | 77.06 | 1.19x 8192 | 64.68 | 75.47 | 1.17x 12288 | 66.43 | 79.95 | 1.20x 16384 | 56.02 | 79.73 | 1.42x 20480 | 50.21 | 78.15 | 1.56x 24576 | 47.29 | 77.53 | 1.64x 27280 | 46.13 | 77.04 | 1.67x - TFLOPs by sequence length target: `gfx1151` layout: `bshd` - mode: batch / VGPR usage: 225 vs 223 Batch | Baseline | Tuned | Gain -- | -- | -- | -- 1024 | 26.85 | 29.17 | 1.09x 4096 | 24.75 | 26.01 | 1.05x 8192 | 25.24 | 25.50 | 1.01x 12288 | 25.18 | 25.00 | 0.99x 16384 | 24.79 | 25.91 | 1.05x 20480 | 25.56 | 25.24 | 0.99x 24576 | 25.13 | 26.20 | 1.04x 27280 | 10.78 | 26.35 | 2.44x - mode: group / VGPR usage: 256 vs 229 Batch | Baseline | Tuned | Gain -- | -- | -- | -- 1024 | 27.44 | 26.71 | 0.97x 4096 | 21.89 | 23.09 | 1.05x 8192 | 22.85 | 24.49 | 1.07x 12288 | 24.33 | 24.42 | 1.00x 16384 | 20.05 | 24.98 | 1.24x 20480 | 14.70 | 25.15 | 1.71x 24576 | 11.30 | 26.31 | 2.33x 27280 | 10.10 | 26.32 | 2.61x ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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John Shumway
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846bcacab4 |
[rocm-libraries] ROCm/rocm-libraries#5085 (commit bb9cb27)
[CK_BUILDER] Clean up ConvDescription output formatting (#5085) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The `ConvDescription::getDetailedDescription()` output had several issues that made it harder to read and potentially misleading: 1. **Bug fix**: The LDS padding field was incorrectly displaying `dst_scalar_per_vector_k1` instead of the actual `lds_padding` value 2. **Noise reduction**: Optional parameters that weren't set were printing unhelpful messages like "Struct does not contain optional gemm_padding argument" — these add clutter without providing value to the reader 3. **Formatting inconsistencies**: Trailing spaces after colons (e.g., `"Warp Gemm parameters: "`) and a stray trailing `×` in tile dimensions 4. **Missing thread cluster lengths**: The threads per axis are not shown. **Changes**: - **Fixed the LDS padding bug** by using `traits_.a_tile_transfer.transfer_params.lds_padding` and `traits_.b_tile_transfer.transfer_params.lds_padding` instead of duplicating `dst_scalar_per_vector_k1` - **Simplified optional parameter handling**: Changed from printing "Struct does not contain..." messages to simply omitting absent optional values. Also switched from `.value_or()` to direct dereference (`*`) since we're already inside an `if` check - **Cleaned up formatting**: Removed trailing spaces after colons and the extra `×` at the end of tile dimension lists - **Added missing thread cluster lengths**: Added X×Y×Z" display for both A and B tile transfer sections. - **Fixed typo**: "Do Padd Gemm" → "Do Pad Gemm" - **Fixed typo**: "scr" → "src" - **Fixed typo**: "tensros" → "tensors" - `ninja smoke-builder` ✓ - `ninja check-builder` ✓ The test file updates reflect the corrected expected output, which now shows the actual `lds_padding` values (0 or 1), shows thread cluster lenths, and omits the verbose "Struct does not contain..." lines. **Note**: This PR follows PR #5083. |
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kensclin
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8c216604d4 |
[rocm-libraries] ROCm/rocm-libraries#5218 (commit 60156cf)
[CK] Fix the issue of the aiter to call eightwarps pipeline. (#5218) ## Motivation Fix the failure of the aiter to call eightwarp. Changed Async to the name eightwarps. ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan Pass ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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rocking
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fe8b7d0c27 |
[rocm-libraries] ROCm/rocm-libraries#4742 (commit d340a14)
[CK_TILE] Fix FMHA async pipeline LDS sync issue
## Motivation
Fix FMHA forward async pipeline
(`block_fmha_pipeline_qr_ks_vs_async.hpp`) sync issue.
Some attention test cases intermittently fail due to a race condition
where the V tile store to LDS overwrites K tile data that is still being
read by other threads during the tail `gemm_0` operation.
## Technical Details
In the `BlockFmhaPipelineQRKSVSAsync` pipeline, K and V tiles share the
same LDS memory through a rotation schedule (`LdsSeq`).
After the tail `gemm_0` (line 458), some fast threads may proceed to
store V to LDS (line 617) before slow threads finish reading K data from
the same LDS buffer.
The fix adds an `s_barrier` synchronization after the tail `gemm_0` when
K's last sub-tile and V's first sub-tile use the same LDS buffer (i.e.,
`LdsSeq[k0_loops - 1] == LdsSeq[k0_loops]`):
`if constexpr(LdsSeq.at(number<k0_loops - 1>{}) ==
LdsSeq.at(number<k0_loops>{}))
__builtin_amdgcn_s_barrier();`
Why `s_barrier` alone is sufficient (no s_waitcnt lgkmcnt(0) needed):
The `gemm_0` MFMA instruction internally waits for its LDS operands
(ds_read) to complete before execution
Therefore, each thread's ds_read of K data is already complete by the
time gemm_0 finishes
Only cross-thread synchronization (`s_barrier`) is needed to ensure all
threads have finished reading before any thread starts writing V
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Márton Bidlek
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683865895e |
[rocm-libraries] ROCm/rocm-libraries#5135 (commit 5ccc138)
Proof of concept for removing forward declarations
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
## Motivation
Currently, we forward declare CK device operation templates in
CK-Builder's reflection code:
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Christopher Millette
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d7836ff0b2 |
[rocm-libraries] ROCm/rocm-libraries#5222 (commit 4fe0911)
[CK_TILE] Fix MMA layout test to match amdgcn_mma OpFamily parameter (#5222) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Summary - PR #4837 added `MmaOpFamily OpFamily_` as a new template parameter to `amdgcn_mma` and `MmaDefaultSelector`, but the MMA layout test (PR #4495) was not updated to include it - Add the missing `OpFamily_` parameter to all three `RegisterMapTraits` partial specializations (gfx9, gfx11, gfx12) and all `MmaDefaultSelector` usages - Fixes build failure: `template argument for non-type template parameter must be an expression` ## Test plan - [x] Verified test compiles cleanly with ROCm 7.1.1 clang++ targeting gfx90a - [x] `test_amdgcn_mma_layout` gfx90a (MFMA): PASSED - [x] `test_amdgcn_mma_layout` gfx1201 (WMMA): SKIPPED (no device) - [x] `test_amdgcn_mma_layout` gfx1100 (WMMA): SKIPPED (no device) - [x] CI validation on all GPU targets 🤖 Generated with [Claude Code](https://claude.com/claude-code) |
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John Shumway
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a7b894544e |
[rocm-libraries] ROCm/rocm-libraries#5083 (commit d65061b)
[CK_BUILDER] Simplify the TreeFormatter. My original design wrote each line streaming, so developers had to keep track of the indentation depth and remember when to use `writelast` for the last element at a depth. This was a source of a lot of cosmetic output errors, and that is likely to get more complicated as we add optional branches. We switch to a tree-building interface with a simple `add` method. The only cost is that we have to defer string building, which is a good tradeoff for our use case. Tested with `ninja smoke-builder`. |
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Christopher Millette
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e0d11b969b |
[rocm-libraries] ROCm/rocm-libraries#5030 (commit 8e02a26)
[CK] Replace tuple value construction with tuple_element_t type extraction [1A] (#5030) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Summary ### Rationale CK's device operation instance registration uses `add_device_operation_instances` at ~1,850 call sites to register GPU kernel configurations. The existing implementation constructs `std::tuple` values just to extract their types via `decltype`, then copy-constructs each instance into `make_unique`. This is wasteful — only the types matter, not the values — and forces the compiler to instantiate the full `std::tuple` constructor and `std::get` machinery at every call site. ### What changed - Replace `remove_cvref_t<decltype(std::get<i>(tuple_obj))>` with `std::tuple_element_t<i.value, TupleType>`, which extracts the type directly without constructing any values - Replace copy-from-default `make_unique<T>(value)` with direct default construction `make_unique<T>()` — all CK device operation instances are stateless structs with configuration encoded in template parameters - Add `static_assert(std::is_default_constructible_v<NewOpInstance>)` to enforce this contract at compile time with a clear error message - Add Doxygen documentation for this high-traffic public API ### Value - Eliminates unnecessary template instantiation of `std::tuple` constructors and `std::get` across ~1,850 call sites - Establishes a cleaner, more intention-revealing pattern for type-only tuple usage - The `static_assert` prevents silent breakage if a non-default-constructible type is ever added - No runtime behavior change — zero risk ### Files changed (9) - `add_device_operation_instance.hpp`: Core pattern change - 3 example files, 3 reduce instance headers, 1 convolution header, 1 profiler header ## Test plan - [ ] Existing CI tests cover all ~1,850 call sites (GEMM, reduce, softmax, convolution) - [ ] `static_assert` provides compile-time validation stronger than runtime tests - [ ] No runtime behavior change — stateless struct default construction is identical to copy-from-default - [ ] Compatible with both `std::tuple` and `ck::type_list` containers 🤖 Generated with [Claude Code](https://claude.com/claude-code) ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Christopher Millette
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e2ce0cad54 |
[rocm-libraries] ROCm/rocm-libraries#4673 (commit ec385da)
Compile-time optimize threadwise slice transfer MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation Profiling with `-ftime-trace` on representative translation units (e.g., `device_grouped_conv2d_fwd_xdl_nhwgc_gkyxc_nhwgk_f16_comp_instance.cpp`) revealed that **92% of frontend time was spent in template instantiation**. The primary bottleneck was redundant instantiation of identical helper logic across multiple threadwise transfer class variants. Each `ThreadwiseTensorSliceTransfer_v*` class independently contained its own copy of the same helper computations — serpentine traversal, coordinate stepping, thread scratch descriptors, lambda-like functors, and compile-time constants — duplicated across 13 header files. When a typical GEMM or convolution kernel TU includes blockwise operations (e.g., `blockwise_gemm_xdlops.hpp`), it pulls in multiple transfer variants simultaneously, causing the compiler to instantiate the same helper logic multiple times with the same template arguments. This was compounded by the helpers being defined as members of the outer `ThreadwiseTensorSliceTransfer_v*` classes, which carry 14+ template parameters. Functions like `ComputeForwardSweep` depend only on their two argument types, but as inline members of the outer class, the compiler was forced to create separate instantiations for every unique combination of all outer parameters (data types, descriptors, vector widths, etc.) — even when most of those parameters had no effect on the helper's output. ## Technical Details ### The Fix: Shared Helper Struct Hierarchy Duplicated logic was extracted into a standalone helper hierarchy in `threadwise_tensor_slice_transfer_util.hpp`: ``` ThreadwiseTransferHelper_Base (I0..I16, MoveSliceWindow, ComputeThreadScratchDescriptor, | ComputeForwardSteps, ComputeBackwardSteps, MakeVectorContainerTuple) +-- ThreadwiseTransferHelper_Serpentine (ComputeForwardSweep, ComputeMoveOnDim, ComputeDataIndex, | ComputeCoordinateResetStep, VectorSizeLookupTable, VectorOffsetsLookupTable) +-- ThreadwiseTransferHelper_SFC (ComputeSFCCoordinateResetStep) ``` Each helper method is now parameterized **only by what it actually uses**: - `ComputeForwardSweep(idx, lengths)` — parameterized only by the two argument types, not by `SrcData`, `DstData`, `SrcDesc`, etc. - `ComputeForwardSteps(desc, scalar_per_access)` — parameterized only by the descriptor and access sequence types. - `ComputeCoordinateResetStep<SliceLengths, VectorDim, ScalarPerVector, DimAccessOrder>()` — parameterized only by the four values it actually needs. This reduces template instantiation work in two ways: 1. **Across different transfer variants** (v3r1 vs v3r2 vs v3r1_gather): the compiler reuses a single instantiation instead of creating one per variant. 2. **Across different outer class instantiations** (fp16 vs bf16 vs int8): the compiler reuses the helper instantiation because the helper doesn't depend on the data type at all. ### Refactored Headers **13 headers** now delegate to the shared helpers instead of duplicating logic: - Serpentine family: v3r1, v3r2, v3r1_gather, v3r1_dequant - SFC family: v6r1, v6r1r2, v6r2, v6r3, v7r2, v7r3, v7r3_scatter - Dead code removed: v4r1, v5r1 ### Additional Fixes Found During Refactoring - Two latent bugs in v3r2 (`forward_sweep` indexing, `GetDstCoordinateResetStep` extraction) - Dead `SrcCoordStep` variables in v4r1 and v5r1 - Unused `scale_element_op_` member in v3r1_dequant (restored with note) ### Net Code Change +1,428 / -2,297 lines (~870 lines removed). ## Test Plan ### Unit Tests 28 host-side gtests in `test/threadwise_transfer_helper/test_threadwise_transfer_helper.cpp` covering the full helper hierarchy: | Suite | Tests | What is verified | |-------|-------|------------------| | ThreadwiseTransferHelperBase | 6 | Compile-time constants, inheritance, `MoveSliceWindow` with `ResetCoordinateAfterRun` true/false in 2D and 3D | | ThreadwiseTransferHelperSerpentine | 9 | `ComputeForwardSweep` (even/odd row, 1D), `ComputeMoveOnDim` (inner complete/incomplete), `ComputeDataIndex`, `ComputeCoordinateResetStep`, `VectorSizeLookupTable`, `VectorOffsetsLookupTable` | | ThreadwiseTransferHelperSFC | 6 | `ComputeSFCCoordinateResetStep` — single access, 2D row-major, 2D column-major, 3D batch, even/odd inner access counts | | ThreadwiseTransferHelperInheritance | 3 | Serpentine and SFC derive from Base, are not related to each other | | DetailFunctors | 4 | `lambda_scalar_per_access`, `lambda_scalar_step_in_vector`, `lambda_scalar_per_access_for_src_and_dst` (same dim, different dims) | ### Semantic Equivalence GPU ISA comparison using `--cuda-device-only -S` confirmed identical assembly output (modulo `__hip_cuid_*` metadata) between baseline and refactored code. ## Test Results All measurements on a 384-core machine, `-j64`, freshly rebooted, near-idle. ### Targeted Builds (affected targets only) | Target | Baseline | Refactored | Wall-clock Delta | CPU Delta | |--------|----------|------------|-----------------|-----------| | `device_grouped_conv2d_fwd_instance` (160 TUs) | 7m 37s / 189m CPU | 6m 53s / 161m CPU | **-9.7%** | **-14.9%** | | `device_grouped_conv3d_fwd_instance` (185 TUs) | 9m 49s / 202m CPU | 6m 42s / 182m CPU | **-31.8%** | **-10.0%** | | **Combined** | **17m 27s / 392m CPU** | **13m 35s / 344m CPU** | **-22.2%** | **-12.4%** | ### Full Project Build (8,243 targets) | Metric | Baseline | Refactored | Delta | |--------|----------|------------|-------| | Wall-clock | 103m 38s | 111m 56s | +8.0%* | | CPU time | 4705m 7s | 4648m 17s | **-1.2%** | \*Wall-clock inflated by external load spike during refactored build (load 90 vs 66). CPU time is the reliable metric. ### Context ~15% of all build targets (1,262 / 8,243) transitively include the modified headers. These are primarily GEMM and convolution kernel instantiations — the core compute workloads. The 12-15% CPU savings on affected targets is diluted to 1.2% across the full project because 85% of targets are unaffected. ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Wojciech Laskowski
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b80e41f3bc |
[rocm-libraries] ROCm/rocm-libraries#4495 (commit 5664eb0)
Adding layout test for amdgcn_mma structs ## Motivation Currently, the test suite for `amdgcn_mma` focuses on the design (e.g. choosing the correct specialization based on SFINAE) and a single live test that checks if selected MmaOp runs. This PR adds a simplified GEMM test kernel that checks the exact layout of the selected MmaOp. ## Technical Details The test in `test_amdgcn_mma_layout.cpp` launches MxKxN test cases (one per block), where each case: 1. Constructs A and B tensors on a device with a single 1 at A(m,k) and B(k,n) (rest is all 0s) 2. Executes the MMA intrinsic. 3. Checks if C has the "1" on the excpeted position. For the MMA instrinsic, it pulls a Mma op from amdgcn_mma specialization based on a given input (tile dimension, data types). Note 1: As a helper, in `test_amdgcn_mma_layout_util.hpp` we add register map for a given amdgcn_mma specialization. Register mapping is currently based on the `tile_distribution_encoding`. Note 2: Everything is added to the test suite, no additions to the actual `amdgcn_mma` structs. All the extra information that is needed, but not yet provided by `amdgcn_mma` structs, is added as a boilerplate to the header. TODO: Rebase this PR on top of the `amdgcn_mma` refactor or clean it up after merge. ## Test Plan This PR solely adds a new test to the existing code. ## Test Result Tests pass. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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lalala-sh
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b0c13f3124 |
[rocm-libraries] ROCm/rocm-libraries#5094 (commit d4548e6)
[CK] use int64 for ptr offset MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation When the number of experts (E) is large (e.g., E=257 in DeepSeek-V3), the `expert_id * expert_stride` calculation in MOE GEMM kernels overflows `int32` (`index_t`), causing the weight matrix (B) pointer to wrap to an invalid address and triggering a GPU memory access fault. For example, with `N=1024, K=7168, IsInputGemm=true`: - `expert_stride = N * K * 2 = 14,680,064` - `INT32_MAX / expert_stride ≈ 146` - Any `expert_id >= 147` causes overflow → negative offset → illegal memory access → GPU crash ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. Co-authored-by: Thomas Ning <Thomas.Ning@amd.com> Co-authored-by: amd-shiraz <shiraz.ali@amd.com> |
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John Afaganis
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7ee6c44387 |
[rocm-libraries] ROCm/rocm-libraries#5101 (commit d4754fa)
[CK] Remove log spam for deprecated convolutions ## Motivation The `CK_BUILD_DEPRECATED` flag guards legacy non-grouped convolution instances, but both branches of every guard emit a `#pragma` message on every build, adding noise without actionable information. According to some recent testing, these non-grouped instances can outperform their grouped replacements in certain configurations, so their continued availability behind the flag remains valuable. This change removes only the warning directives while preserving all guards and guarded code paths. ## Technical Details Removed all `#pragma` message lines referencing deprecated instances from 25 convolution instance source files spanning conv1d_bwd_data, conv2d_fwd, conv2d_bwd_data, conv2d_fwd_bias_relu, conv2d_fwd_bias_relu_add, conv3d_bwd_data, grouped_conv3d_fwd, grouped_conv3d_bwd_data, and grouped_conv3d_bwd_weight. The `#if CK_BUILD_DEPRECATED` / `#else` / `#endif` preprocessor guards and all guarded code remain unchanged. ## Test Plan No functional change. The CK_BUILD_DEPRECATED conditional logic is unmodified; only #pragma message directives were removed. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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chris-tsiaousis-hpc
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03ce21ddcb |
[rocm-libraries] ROCm/rocm-libraries#4837 (commit 6316035)
[CK TILE] Unification of sparse MFMA/WMMA policy structs (#4837) ## Motivation The existing unification work supports DENSE intrinsics. In this PR we enable support for SPARSE as well as SCALE intrinsics and add an example SPARSE implementation. ## Technical Details Mostly trivial changes. One framework change is that the desired `MmaOpFamily` is passed to the `MmaDefaultSelector`. As my relevant commit explains, we do not support a fallback family at the moment, but it is something we can consider. ## Test Plan Added a new test for the relevant sparse specializations. ## Test Result Test should pass. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Jeff Huang
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6e558658ea |
[rocm-libraries] ROCm/rocm-libraries#4999 (commit 45f6624)
[CK] Fix 32-bit overflow in batch prefill kernel for >4GB KV cache (#4999) Use SRD rebasing for page_block_size >= kN0: move SRD base pointer to page start via 48-bit arithmetic, encode only within-page offset in voffset. Original code path preserved for ps1/ps16 via constexpr-if. ## Motivation <!-- Explain the purpose of this PR and the goals it aims to achieve. --> ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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DarylHawkinsAMD
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147210ac72 |
[rocm-libraries] ROCm/rocm-libraries#5026 (commit fd5325b)
[CK_BUILDER] Add BILINEAR and ADD_CLAMP elementwise operation mappings to CK builder (#5026) ## Motivation The CK kernels that MIOpen consumes use the BILINEAR and ADD_CLAMP operations. The operation mappings in the CK Builder API need to be in place to be able to instantiate those kernels using the builder. ## Technical Details Add the BILINEAR and ADD_CLAMP operation mappings to the builder ## Test Plan * Added builder tests for new helpers ## Test Result * New tests pass locally, waiting for test run ## Submission Checklist - [X] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Ville Pietilä
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ae4e632c7d |
[rocm-libraries] ROCm/rocm-libraries#4797 (commit 1a30400)
[CK_TILE] Add CK Tile bwd weight profiler MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation To compare old CK and CK Tile, we need to extend the current CK profiler to support running also CK Tile instance with the same API. In order to have the same instance coverage in CK Tile compared to the old CK, I've added code generation from old CK configurations to CK Tile instances using the CK Builder. ## Technical Details - The codegen python script for CK Tile fwd convs is extended to support also bwd weight and bwd data. - The generated instances are added to the CMake build (target `device_grouped_conv_bwd_weight_tile_instance`s). - A new profiler op (`grouped_conv_bwd_weight_tile`) has been added to the CK Profiler. |
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John Afaganis
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fc1e1a5155 |
[rocm-libraries] ROCm/rocm-libraries#5071 (commit 444cd13)
Add Operation Support Matrix to Dispatcher README Added an Operation Support Matrix to the Dispatcher README, detailing CK Tile operations with support status for various data types, layouts, and GPU targets. ## Motivation Provide a clear understanding of which operators (and variants) are supported by dispatcher. ## Technical Details Entirely generated by a skill. ## Test Plan N/A. This is a documentation-only change. ## Test Result N/A. This is a documentation-only change. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Anton Gorenko
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782f0a9eed |
[rocm-libraries] ROCm/rocm-libraries#4957 (commit d2e4eb8)
[CK_TILE][FMHA] Extend pipelines with pssk for gfx11/12 (#4957) ## Motivation Build pipelines with seqlen padding only to support vectorized loads in the hdim dimension. The existing pipelines have either all dims padded or all dims not padded. These pipelines can be used in ComfyUI for slightly better performance. ## Technical Details Also a fix included for correct FLOPS calculation in `tile_example_fmha_fwd` when `seqlen_q * seqlen_k` overflows index_t capacity (signed int32). ## Test Plan The existing test cases will use the new pipelines when parameters allow (seqlens - padded, hdims - not padded): ``` ninja test_ck_tile_fmha_fwd bin/test_ck_tile_fmha_fwd_fp16 bin/test_ck_tile_fmha_fwd_bf16 bin/test_ck_tile_fmha_fwd_fp8bf16 # for gfx12 ``` ## Test Result All tests must pass. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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kensclin
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30702c9cbc |
[rocm-libraries] ROCm/rocm-libraries#4834 (commit e75e6cb)
[CK_TILE][GEMM] Fix eightwarp error & Add eightwarp unit test (#4834) ## Motivation The primary goal of this PR is to fix a critical issue in the EightWarps implementation within ck_tile. Additionally, unit tests were added to ensure that CI can detect errors. ## Test Plan ninja test_tile_gemm_quant_abquant_eightwarps ./bin/test_tile_gemm_quant_abquant_eightwarps ## Test Result All EightWarps related test cases in TestCkTileGemmABQuant completed successfully without linker errors or validation mismatches. ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Yi DING
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b09112bbad |
[rocm-libraries] ROCm/rocm-libraries#4577 (commit a36922c)
[CK_TILE] FMHA BWD Launcher Interface ## Motivation Reduce memory usage; Be prepared to implement optimizations of reducing nsplits in deterministic cases. ## Technical Details This PR introduces a new launcher interface for the FMHA backward operation, replacing direct function calls with a more structured approach. The launcher encapsulates kernel dispatch logic and provides access to computed metadata like the number of dQ acc splits. **Changes:** - Added `fmha_bwd_launcher` class that wraps kernel execution and exposes `dq_acc_splits` - Moved `fmha_bwd_traits` construction earlier in the execution flow to support launcher initialization - Refactored code generation to produce both legacy API and new launcher constructor ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Thrupti Raj Lakshmana Gowda
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08b6de62f8 |
[rocm-libraries] ROCm/rocm-libraries#4958 (commit 713881f)
bf8 and bf16 support for Universal GEMM in Tile Engine (#4958) ## Motivation Currently we have only fp8 and fp16 datatype support for universal GEMM in Tile Engine with this PR support for bf8 and bf16 datatype will be added during the CI phase ## Technical Details Adding bf8 and bf16 support ## Test Plan NA ## Test Result NA ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Brock Hargreaves
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2a16d53cce |
[rocm-libraries] ROCm/rocm-libraries#5045 (commit 64a5502)
[CK] Address a bunch of errors associated with targeting gfx1200 on Windows (#5045) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation Still addressing errors that are blocking the merge of TheRock PR: https://github.com/ROCm/TheRock/actions/runs/22545831304/job/65308264096?pr=3382 ## Technical Details 1. There are multiple fmha python scripts that are writing native paths which are confusing cmake. I addressed one of these in an earlier PR https://github.com/ROCm/rocm-libraries/pull/4812 and now I'm addressing more that are exposed with gfx1200 target: ``` [composable_kernel configure] CMake Error at example/ck_tile/50_sparse_attn/CMakeLists.txt:61 (add_library): [composable_kernel configure] Syntax error in cmake code when parsing string [composable_kernel configure] [composable_kernel configure] B:\build\ml-libs\composable_kernel\build\example\ck_tile\50_sparse_attn\fmha_jenga_fwd_d128_fp16_batch_b128x128x32x128x32x128_r4x1x1_r4x1x1_w32x32x16_w32x32x16_qr_async_vr_psddv_nlogits_nbias_nmask_nskip_nsquant_ntrload.cpp [composable_kernel configure] [composable_kernel configure] Invalid character escape '\b'. ``` 2. In the following compiler error we see gemm_prec_str<ADataType, BDataType> being passed as a function to concat(...), instead of being evaluated with the parenthesis operator(), i.e., gemm_prec_str<ADataType, BDataType>(). There are multiples instances of this, I wonder what non-msvc compilers do here: ``` [composable_kernel] FAILED: [code=1] example/ck_tile/38_block_scale_gemm/CMakeFiles/tile_example_gemm_quant.dir/gemm_bquant_quantgrouped_mx_bf16bf8.cpp.obj [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/example/ck_tile/38_block_scale_gemm/gemm_bquant_quantgrouped_mx_bf16bf8.cpp:4: [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/example/ck_tile/38_block_scale_gemm\run_gemm_quant_example.inc:17: [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/host.hpp:7: [composable_kernel] E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/host/concat.hpp:119:21: error: implicit conversion between pointer-to-function and pointer-to-object is a Microsoft extension [-Werror,-Wmicrosoft-cast] [composable_kernel] 119 | ((oss << sep << rest), ...); [composable_kernel] | ^~~~ [composable_kernel] E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/ops/gemm_quant/kernel/gemm_quant_kernel.hpp:248:16: note: in instantiation of function template specialization 'ck_tile::concat<char, char[11], std::basic_string<char> (), std::basic_string<char>>' requested here [composable_kernel] 248 | return concat('_', "gemm_quant", gemm_prec_str<ADataType, BDataType>, GemmPipeline::GetName()); [composable_kernel] | ^ ``` There are plenty of other places where we use gemm_prec_str with the operator(), so I'm pretty sure these were just typos...but I'd like some eyes on it. 3. There are 2 tests that fail to build on Windows, which I've excluded from the build but will open bug tickets for: 1. gemm_weight_preshuffle 2. grouped_gemm_preshuffle Here's a sample of the compiler error for these tests: ``` [composable_kernel] [16/19] Building HIP object test/ck_tile/grouped_gemm_preshuffle/CMakeFiles/test_ck_tile_grouped_gemm_preshuffle.dir/test_grouped_gemm_preshuffle.cpp.obj [composable_kernel] FAILED: [code=1] test/ck_tile/grouped_gemm_preshuffle/CMakeFiles/test_ck_tile_grouped_gemm_preshuffle.dir/test_grouped_gemm_preshuffle.cpp.obj [composable_kernel] E:\TheRock\build\core\clr\dist\lib\llvm\bin\clang++.exe -DCK_ENABLE_BF16 -DCK_ENABLE_BF8 -DCK_ENABLE_FP16 -DCK_ENABLE_FP32 -DCK_ENABLE_FP64 -DCK_ENABLE_FP8 -DCK_ENABLE_INT8 -DCK_TILE_USE_WMMA=1 -DCK_TIME_KERNEL=1 -DCK_USE_OCP_FP8 -DCK_USE_WMMA -DCK_USE_WMMA_FP8 -DCK_USE_XDL -DDPP_KERNELS -DUSE_PROF_API=1 -D__HIP_PLATFORM_AMD__=1 -D__HIP_PLATFORM_HCC__=1 -D__HIP_ROCclr__=1 -IE:/TheRock/rocm-libraries/projects/composablekernel/profiler/include -IE:/TheRock/rocm-libraries/projects/composablekernel -IE:/TheRock/rocm-libraries/projects/composablekernel/library/include -IE:/TheRock/rocm-libraries/projects/composablekernel/include -IE:/TheRock/build/ml-libs/composable_kernel/build/include -IE:/TheRock/build/base/half/stage/include -isystem E:/TheRock/build/core/clr/dist/include -isystem E:/TheRock/build/ml-libs/composable_kernel/build/_deps/gtest-src/googletest/include -isystem E:/TheRock/build/ml-libs/composable_kernel/build/_deps/gtest-src/googletest -isystem E:/TheRock/build/ml-libs/composable_kernel/build/_deps/getopt-src/src -O3 -DNDEBUG -std=gnu++20 --offload-arch=gfx1200 -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -Wall -Wextra -Wcomment -Wendif-labels -Wformat -Winit-self -Wreturn-type -Wsequence-point -Wswitch -Wtrigraphs -Wundef -Wuninitialized -Wunreachable-code -Wunused -Wno-reserved-identifier -Wno-option-ignored -Wsign-compare -Wno-extra-semi-stmt -Wno-unused-template -Wno-missing-field-initializers -Wno-error=deprecated-declarations -Wall -Wextra -Wcomment -Wendif-labels -Wformat -Winit-self -Wreturn-type -Wsequence-point -Wswitch -Wtrigraphs -Wundef -Wuninitialized -Wunreachable-code -Wunused -Wno-reserved-identifier -Wno-option-ignored -Wsign-compare -Wno-extra-semi-stmt -Wno-unused-template -Weverything -Wno-c++98-compat -Wno-c++98-compat-pedantic -Wno-conversion -Wno-double-promotion -Wno-exit-time-destructors -Wno-extra-semi -Wno-float-conversion -Wno-gnu-anonymous-struct -Wno-gnu-zero-variadic-macro-arguments -Wno-missing-prototypes -Wno-nested-anon-types -Wno-padded -Wno-return-std-move-in-c++11 -Wno-shorten-64-to-32 -Wno-sign-conversion -Wno-unknown-warning-option -Wno-unused-command-line-argument -Wno-weak-vtables -Wno-covered-switch-default -Wno-unsafe-buffer-usage -Wno-unused-lambda-capture -Wno-nvcc-compat -Wno-c++20-compat -Wno-bit-int-extension -Wno-pass-failed -Wno-switch-default -Wno-unique-object-duplication -fbracket-depth=1024 -Wno-nrvo -Werror -Weverything -fcolor-diagnostics -Wno-c++20-extensions -Wno-global-constructors -Wno-undef -DCK_TILE_USE_OCP_FP8 -MD -MT test/ck_tile/grouped_gemm_preshuffle/CMakeFiles/test_ck_tile_grouped_gemm_preshuffle.dir/test_grouped_gemm_preshuffle.cpp.obj -MF test\ck_tile\grouped_gemm_preshuffle\CMakeFiles\test_ck_tile_grouped_gemm_preshuffle.dir\test_grouped_gemm_preshuffle.cpp.obj.d -o test/ck_tile/grouped_gemm_preshuffle/CMakeFiles/test_ck_tile_grouped_gemm_preshuffle.dir/test_grouped_gemm_preshuffle.cpp.obj -x hip -c E:/TheRock/rocm-libraries/projects/composablekernel/test/ck_tile/grouped_gemm_preshuffle/test_grouped_gemm_preshuffle.cpp [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/test/ck_tile/grouped_gemm_preshuffle/test_grouped_gemm_preshuffle.cpp:8: [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/host.hpp:6: [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/host/check_err.hpp:16: [composable_kernel] In file included from E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/core.hpp:89: [composable_kernel] E:/TheRock/rocm-libraries/projects/composablekernel/include\ck_tile/core/utility/env.hpp:110:31: warning: 'getenv' is deprecated: This function or variable may be unsafe. Consider using _dupenv_s instead. To disable deprecation, use _CRT_SECURE_NO_WARNINGS. See online help for details. [-Wdeprecated-declarations] [composable_kernel] 110 | const char* vp = std::getenv(name); [composable_kernel] | ^ [composable_kernel] C:\Program Files (x86)\Windows Kits\10\include\10.0.22621.0\ucrt\stdlib.h:1183:20: note: 'getenv' has been explicitly marked deprecated here [composable_kernel] 1183 | _Check_return_ _CRT_INSECURE_DEPRECATE(_dupenv_s) [composable_kernel] | ^ [composable_kernel] C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Tools\MSVC\14.44.35207\include\vcruntime.h:368:55: note: expanded from macro '_CRT_INSECURE_DEPRECATE' [composable_kernel] 368 | #define _CRT_INSECURE_DEPRECATE(_Replacement) _CRT_DEPRECATE_TEXT( \ [composable_kernel] | ^ [composable_kernel] C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Tools\MSVC\14.44.35207\include\vcruntime.h:358:47: note: expanded from macro '_CRT_DEPRECATE_TEXT' [composable_kernel] 358 | #define _CRT_DEPRECATE_TEXT(_Text) __declspec(deprecated(_Text)) [composable_kernel] | ^ [composable_kernel] clang++: error: clang frontend command failed due to signal (use -v to see invocation) [composable_kernel] AMD clang version 22.0.0git (https://github.com/ROCm/llvm-project.git a2dc42b87c63e686377a69f09ea23aec7550babc+PATCHED:e4d5bf498b7b8626bb9716f1f5a5946d45025918) [composable_kernel] Target: x86_64-pc-windows-msvc [composable_kernel] Thread model: posix [composable_kernel] InstalledDir: E:\TheRock\build\core\clr\dist\lib\llvm\bin [composable_kernel] clang++: note: diagnostic msg: Error generating preprocessed source(s). [composable_kernel] ninja: build stopped: subcommand failed. [composable_kernel FAILED WITH CODE 1 in 238 seconds] ninja: build stopped: subcommand failed. ``` ## Test Plan Wait for internal CI and make sure build compiles locally. ## Test Result Waiting on CI ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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andrew clark
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0d595e04ba |
[rocm-libraries] ROCm/rocm-libraries#4943 (commit ea40212)
[CK] Updating CI skip logic MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation The CI skip logic has two issues that prevented it from working correctly: 1. **Incorrect file patterns**: After migrating from standalone repo to `rocm-libraries`, file paths now include the `projects/composablekernel/` prefix (e.g., `projects/composablekernel/docs/README.md`). The skip patterns were still checking for paths starting with `docs/`, which never matched. 2. **Incomplete build type support**: Jenkins multibranch pipelines provide different environment variables for PR builds (`$CHANGE_TARGET`, `$CHANGE_ID`) vs branch builds (`$BRANCH_NAME`). The previous logic only compared `HEAD~1..HEAD` for branch builds, which missed changes from multi-commit pushes and didn't properly handle feature branch builds. When CI skipped or ran, there was no visibility into which files triggered the decision, making it difficult to diagnose issues. You can now see which files triggered the CI run. ## Technical Details PR builds: Compares all commits against origin/$CHANGE_TARGET. Feature branch builds: Uses git merge-base to find divergence point from develop and checks all touched files since then. Scheduled develop builds are unaffected. These builds are forced to run from the pipeline parameters. Example log output for PR Builds: <img width="647" height="260" alt="image" src="https://github.com/user-attachments/assets/c8673a81-acb2-4fb2-acbb-1c07b5ab3b69" /> Example log output for Branch Builds: <img width="488" height="287" alt="image" src="https://github.com/user-attachments/assets/fbb17ba7-eb2c-42a4-b820-b2a8b9e479c4" /> ## Test Plan Pre-PR validation (branch builds): Push commits with only documentation changes → CI should skip. I will have to verify this after this PR is merged! Push commits with code changes → CI should run Push commits that modify then revert code → CI should run (catching reverts) Verify debug output clearly shows skip/run decision Post-PR validation (PR builds): Create PR with only doc changes → CI should skip. I will have to verify this after this PR is merged! Create PR with mixed doc + code changes → CI should run and log which files triggered it Verify debug output clearly shows skip/run decision ## Test Result All branch build checks succeeded. All PR build checks succeeded. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Aviral Goel
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f00ec5afd9 |
[rocm-libraries] ROCm/rocm-libraries#4301 (commit 0821c9f)
test: Add umbrella test targets for CK Tile operations (#4301) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Proposed changes Adds operation-specific umbrella test targets for CK Tile to enable running all tests for a specific operation without running the entire test suite. This improves the development workflow by allowing faster iteration when working on specific operations. ## Motivation Previously, developers working on CK Tile operations could only: - Run individual test executables one at a time - Run global labels (, , ) which test the entire codebase - Build all tests for an operation but had no simple way to run them all This made it cumbersome to validate changes to a specific operation (e.g., GEMM quantization) without either running tests individually or running the entire test suite. ### Documentation - - Comprehensive testing guide with usage examples and implementation details ## Usage Examples # Run all GEMM tests with 256 parallel jobs ninja -j256 ck_tile_gemm_tests # Run all GEMM block scale (quantization) tests ninja -j256 ck_tile_gemm_block_scale_tests # Run all GEMM StreamK tests ninja -j256 ck_tile_gemm_streamk_tests ## Checklist Please put an into the boxes that apply. You can also fill these out after creating the PR. If you're not sure, please don't hesitate to ask. - [x] I have added tests relevant to the introduced functionality, and the unit tests are passing locally - [x] I have added the test to REGRESSION_TESTS list defined at the top of CMakeLists.txt in tests/CMakeLists.txt, **IF** the test takes more than 30 seconds to run. - [x] I have added inline documentation which enables the maintainers with understanding the motivation - [x] I have removed the stale documentation which is no longer relevant after this pull request - [ ] (If this change is user-facing) I have added release notes which provide the end users with a brief summary of the improvement from this pull request - [x] I have run on all changed files - [x] Any dependent changes have been merged ## Discussion If this is a relatively large or complex change, feel free to start a discussion by explaining why you chose the solution you did and what alternatives you considered |
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Johannes Graner
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1cd031c21d |
[rocm-libraries] ROCm/rocm-libraries#4800 (commit 9dcf0cf)
[CK Profiler] Instance selection for grouped conv profilers (#4800) ## Motivation This PR adds instance selection support for ckProfiler grouped convolution operations (forward, backward data, backward weight), allowing users to run specific kernel instances rather than sweeping all available instances. When profiling or debugging convolution kernels, users often need to test specific kernel configurations without running the full instance sweep. This is particularly useful for: - Debugging a specific failing instance - Profiling a known-best configuration - Quick validation during development ## Technical Details **Features added**: - `--instance <id>` flag to run only the N-th valid instance (0-indexed) - `--list-instances` flag to list all valid instances without running any kernels - Named arguments can appear anywhere on the command line - Best instance index is now printed with results for reference - Python script support via `-ii` / `--instance_index` arguments **Design decisions**: - Named arguments (`--instance`, `--list-instances`) instead of positional to avoid conflicts with existing parameters - Instance index refers to the N-th valid instance (0-indexed), not the global instance index - Auto-disable verification when `--list-instances` is used for fast enumeration - Shared utilities in `profiler_arg_utils.hpp` to deduplicate parsing logic ## Test Plan Manual testing with various scenarios: List all valid instances: ```bash ./bin/ckProfiler grouped_conv_fwd <usual args> --list-instances ``` Run only instance 5: ```bash ./bin/ckProfiler grouped_conv_fwd <usual args> --instance 5 ``` Test cases: - Single instance selection - List instances mode - Out-of-bounds instance index (verified warning messages) - No instance flag (runs all instances - default behavior) - All three operations (fwd, bwd_data, bwd_weight) ## Test Result All test scenarios passed: - Instance selection correctly filters kernel executions - List mode enumerates valid instances without running kernels - Invalid indices produce appropriate warnings without crashing - Default behavior (all instances) unchanged when flags not provided - Consistent behavior across all three grouped convolution operations ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Illia Silin
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fff9f72ffb |
[rocm-libraries] ROCm/rocm-libraries#5036 (commit 0bee213)
[CK] Switch compiler branch from staging to develop and upgrade sccache. (#5036) ## Motivation Upgrade to official sccache version 0.14, since it now supports hip. Also, switching daily builds from amd-staging to develop compiler branch, since it should be more stable. ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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John Shumway
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54861f1f49 |
[rocm-libraries] ROCm/rocm-libraries#5038 (commit 6e74de7)
[CK_BUILDER] Update developer notes in the CK Builder source directories (#5038) ## Motivation This PR updates the developer notes for the CK Tile builder. It captures the current state of the implementation in more detail, and frames the description around the need to have true facade. There is no functional change, only better alignment of developer notes with the current code. This doc clearly explains the current technical debt: that we have created many facades that expose the implementation details. There is an expanded section on reflection that explains how unified reflection will help clarify the unified builder design. Additional changes are just better accounting for the current state of the code, including previously undocumented operations. A few typos and cosmetic issues are cleaned up, too. |
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Emily Martins
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f1746955fd |
[rocm-libraries] ROCm/rocm-libraries#4984 (commit 962b047)
[CK_TILE] Reduce Register Spills in Stream-K Reductions (#4984) ## Motivation In CK Tile Stream-K, kernels using one of two non-atomic reduction strategies (i.e., linear, tree) have high register spill count, with the tree reduction generally being worse. These changes act a first step to help decrease the register spill count. ## Technical Details ### Problem 1: Unvectorized access to partials In both the linear and tree reductions, workgroups write partials results to a global buffer; another workgroup will later read this data. When the initial logic to support reading and writing to the partials buffer was added (see https://github.com/ROCm/composable_kernel/pull/3107), the tile distribution encoding used to read from and write to partials matches the register layout for the accumulator of the mfma instruction used for the kernel. Since we do not currently use the transposed register layout for the accumulator, we end with an encoding that is not optimized for writing to HBM. For example: Consider the register layout of the `v_mfma_f32_16x16x32_fp8_fp8` instruction. ```bash ./matrix_calculator.py --architecture gfx942 --instruction v_mfma_f32_16x16x32_fp8_fp8 --register-layout --C-matrix ``` <img width="1113" height="537" alt="image" src="https://github.com/user-attachments/assets/afc8f556-08cc-4224-a6e5-b5edabc5fc02" /> The above shows that threads are responsible for consecutive elements down a column of the C tile. If we use this distribution to read and write to partials with C in row major, then threads are unable to perform vectorized reads and writes. Note: thread 0 is shown in red and thread 1 is shown in green. Since the C-shuffle Epilogue only supports C in row major, reading and writing to partials is highly unoptimized. ### Problem 2: Missed opportunity for SPGR use in tree reduction loop Since the reduction occurs between workgroups, all threads in the workgroup follow the same execution paths in the tree reduction logic, hence various variables should be using SGPRs, but they are not. ### Implemented Solutions 1. Add a new tile distribution encoding that is optimized for accessing partials in HBM. This encoding does not change the data assignment to threads, it merely changes the addresses to which they write/read in the partials buffer. For example, continuing with the `v_mfma_f32_16x16x32_fp8_fp8` instruction, the new encoding would result in threads writing in the following layout: <img width="517" height="342" alt="image" src="https://github.com/user-attachments/assets/93b5e0ea-bafc-47b8-89bb-c40ba75cb202" /> This layout ensures that each thread writes along a row, enabling `buffer_{store|load}_dwordx4` instructions (i.e., vectorized accesses). This helps reduce register usage due to requiring fewer offset calculations. 2. To force SGPR usage in the tree reduction loop, I make use of CK Tile's `amd_wave_read_first_lane` which is a wrapper around `__builtin_amdgcn_readfirstlane`. This helps reduce VGPR spills in the tree reduction. _These changes do not fully eliminate register spills. Future work will aim to further reduce spills. But these changes make good progress._ ## Test Plan Added tests for different warp tile sizes to validate that the new encoding works with different `WarpGemm` variants. ## Test Result All tests pass locally on all gfx9 architectures. Some results for decreases in register spills on gfx942: (BL = baseline) | Kernel | SGPR Spill (BL) | SGPR Spill (new) | SGPR Delta | SGPR % | VGPR Spill (BL) | VGPR Spill (new) | VGPR Delta | VGPR % | |--------|------------------:|------------------:|-----------:|-------:|-------------------:|------------------:|-----------:|-------:| | fp16 linear F/F/F/T 256x256x32 2x2x1 32x32x16 | 223 | 0 | -223 | -100.0% | 21 | 20 | -1 | -4.8% | | fp16 tree F/F/F/T 256x256x32 2x2x1 32x32x16 | 233 | 11 | -222 | -95.3% | 443 | 23 | -420 | -94.8% | | fp8 linear F/F/F/F 256x256x32 2x2x1 32x32x32 | 221 | 3 | -218 | -98.6% | 12 | 6 | -6 | -50.0% | | fp8 tree F/F/F/F 256x256x32 2x2x1 32x32x32 | 230 | 14 | -216 | -93.9% | 396 | 12 | -384 | -97.0% | ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Kiefer van Teutem
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b042e1805a |
[rocm-libraries] ROCm/rocm-libraries#4804 (commit 832dd0e)
Add Tile Distribution Encoding Register Mapping debug utility for MFMA / WMMA unification work. (#4804) ## Motivation This PR adds a small utility that allows you to use Tile Distribution Encodings to directly map matrix elements to register locations and vice versa. It can also print forward and backward layout mappings similar to the Matrix Calculator utility. The utility is not meant for index calculations in actual kernels, but rather as a debugging tool and probably for automated verification of the policy structs in the new WMMA / MFMA unification design. ## Technical Details Tile Distribution Encodings are a core part of CK Tile which can define the relationship between register and intrinsic matrix fragment elements. They allow for any mapping based on unmerge and merge transformations. Also, they allow for a special "Repeat" dimensions which acts like an additional matrix dimension and allows for replication of certain matrix elements. The new mapping utility can deal with all aspects. ## Test Plan Since this is a debug utility there is nothing to directly test, but there is an example file that defines four different Tile Distribution Encodings and prints their forward and backward mappings, along with some extra parameters. ## Test Result ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Yi DING
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a8e2ec22cf |
[rocm-libraries] ROCm/rocm-libraries#5011 (commit b31a678)
[CK] Fix aiter tests in CI MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Motivation Updates the CK/AITER CI Docker build to source Composable Kernel either from `ROCm/rocm-libraries` (via sparse-checkout) or directly from `ROCm/composable_kernel`, aiming to make aiter tests reliable in CI. **Changes:** - Added a build arg to toggle fetching CK from `ROCm/rocm-libraries` (enabled by default). - Implemented sparse-checkout + local re-init/commit flow to materialize CK into a local `ck/` directory. - Updated aiter’s CK vendoring step to clone from the locally prepared `ck/` directory. ## Technical Details <!-- Explain the changes along with any relevant GitHub links. --> ## Test Plan <!-- Explain any relevant testing done to verify this PR. --> ## Test Result <!-- Briefly summarize test outcomes. --> ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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SamiAario-AMD
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95dc496d30 |
[rocm-libraries] ROCm/rocm-libraries#4294 (commit 6601702)
Cleanup and refactoring related to tile loading MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Proposed changes Cleanup and refactoring done while implementing mixed precision for fp16/bf16 x fp8 Key changes: - Renamed load_interleaved_pk_type.hpp to load_and_convert_tile.hpp and refactored the API to use consistent naming conventions - Updated load_tile_transpose functions to use output parameters instead of return values for consistency - Removed unused variable declarations and simplified type deduction logic - Define load_tile_with_elementwise to use tuple types explicitly for clarity ## Checklist Please put an `x` into the boxes that apply. You can also fill these out after creating the PR. If you're not sure, please don't hesitate to ask. - [ ] I have added tests relevant to the introduced functionality, and the unit tests are passing locally - [ ] I have added the test to REGRESSION_TESTS list defined at the top of CMakeLists.txt in tests/CMakeLists.txt, **IF** the test takes more than 30 seconds to run. - [x] I have added inline documentation which enables the maintainers with understanding the motivation - [ ] I have removed the stale documentation which is no longer relevant after this pull request - [ ] (If this change is user-facing) I have added release notes which provide the end users with a brief summary of the improvement from this pull request - [X] I have run `clang-format` on all changed files - [ ] Any dependent changes have been merged ## Discussion If this is a relatively large or complex change, feel free to start a discussion by explaining why you chose the solution you did and what alternatives you considered |
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Max Podkorytov
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0438ab1b79 |
[rocm-libraries] ROCm/rocm-libraries#4518 (commit dd161dc)
[CK_TILE] Fix CShuffleEpilogue test to use correct GEMM accumulator distribution (#4518) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Summary The test was using LDS distribution to create the accumulator tile, but CShuffleEpilogue expects the GEMM accumulator distribution that BlockGemm produces. This mismatch caused incorrect data permutation. ## Changes - Use WarpGemmDispatcher to get correct accumulator distribution encoding - Load test input from host-initialized global memory for deterministic verification - Shard tests by data type (FP16, FP8) with gfx950-specific FP8 tests - Extract scale tests into separate target for better organization - Implement exact permutation verification (all unique values appear once) - Reduce tile size from 256x256 to 128x128 to fit in unique fp16 range - Add parameterized test configurations for various warp layouts and MFMA types ## Test plan - [x] Run new cshuffle epilogue tests 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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Linjun-AMD
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78ae3835a6 |
[rocm-libraries] ROCm/rocm-libraries#4313 (commit 080ac66)
[CK] Fix gptoss sink ## Motivation This PR removes conditional logic for handling infinity values in the sink mechanism across multiple FMHA pipeline implementations, defaulting sink_size to 0 and adding a constraint in the kernel selection logic. ## Technical Details Changes: Removed __builtin_isinf_sign(sink_v) checks and conditional initialization of LSE accumulators across 7 pipeline files Added default initialization (= 0) for sink_size in 4 argument structs Added F_sink == "f" constraint to kernel compatibility checking ## Test Plan Local test ## Test Result passed ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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jakpiase
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d32d515f64 |
[rocm-libraries] ROCm/rocm-libraries#4873 (commit 580ad4f)
[CK] CK Tile improvements and fixes for depthwise merged convolutions forward (#4873) ## Motivation Performance benchmarks showed that old CK's depthwise merged convolutions are much faster than CK Tile's ones. ## Technical Details After investigation it showed up that the requirement that A/CVectorload is a multiple of gemm's rightmost dimension is too strict in case of processing multiple groups, because if tensor is in NHWGC/NHWGK format, then if C/K is equal to 1, we can use vectorloads on the G dimension, which is added by this PR. Filter5x5 specialization was also added, because some models are using it, it's similar to 3x3, the only difference is the window size. This addition was needed, because of the differences of tensor descriptor transformations betweeen CK and CK Tile. In old CK the case of grouped depthwise 5x5 convs was supported via Default specialization, but in CK Tile that case was not working properly. ## Test Plan Performance was tested by our internal test suite, which contains several DL models. ## Test Result Tests results showed significant performance uplift for depthwise(3x3, 5x5) cases |
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Max Podkorytov
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1dd47118e2 |
[rocm-libraries] ROCm/rocm-libraries#4828 (commit 7de19bb)
Add generate_identity_sequences helper and replace lambdas with named functors (#4828) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Summary - Add `generate_identity_sequences<N>()` helper that returns `Tuple<Sequence<0>, Sequence<1>, ..., Sequence<N-1>>` - Replace lambdas with named functors in `transform_tensor_descriptor` - Add `unpack_and_merge_sequences` helper functor - Reduces `transform_tensor_descriptor` instantiations from 388 to 32 (92% reduction) ## Motivation Multiple call sites use `generate_tuple([](auto i) { return Sequence<i>{}; }, Number<N>{})` pattern. A named helper reduces lambda instantiations. Additionally, each lambda in `transform_tensor_descriptor` creates a unique closure type, causing the function to be instantiated separately for every call site. Named functors share a single type, so the compiler reuses the same instantiation. ## Changes ### Part 1: generate_identity_sequences helper - Replaces common lambda pattern for generating identity sequences - Each lambda expression creates a unique closure type, causing separate template instantiations at every call site - Named helper shares a single type across all uses ### Part 2: Named functors in transform_tensor_descriptor - Add `unpack_and_merge_sequences` helper to replace lambda in `GetNumOfHiddenDimension` - Use `generate_identity_sequences` in `matrix_padder.hpp` ## Test Plan - [x] Added 7 unit tests: - 4 tests for `generate_identity_sequences` - 3 tests for `unpack_and_merge_sequences` - [ ] Waiting for full CI ## Related PRs This PR merges the functionality from: - ROCm/composable_kernel#3588 (generate_identity_sequences helper) - ROCm/composable_kernel#3589 (Named functors in transform_tensor_descriptor) Part of PR stack for issue #4229 (Reduce CK/CKTile Build Times) **Note:** This PR supersedes #4283, ROCm/composable_kernel#3588 and ROCm/composable_kernel#3589, which can be closed once this is merged. |
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Bartłomiej Kocot
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ef82340e05 |
[rocm-libraries] ROCm/rocm-libraries#4875 (commit e35e3f2)
[CK] Port non-grouped convolution instances to the grouped kernels (#4875) ## Motivation Port non-grouped convolution instances to the grouped kernels to deprecated older non-grouped implementations. ## Technical Details Add the same instances as non-grouped but using grouped kernel. ## Test Plan test_grouped_convnd_fwd ## Test Result pass ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. AICK-724 |
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Andriy Roshchenko
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b661eab573 |
[rocm-libraries] ROCm/rocm-libraries#4821 (commit 9456e0f)
[CK TILE] Refactor MX FLATMM example Refactor the MX FLATMM example to support more pipelines across different architectures. This work facilitates the NPI team roadmap. |
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John Shumway
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711374fcab |
[rocm-libraries] ROCm/rocm-libraries#4975 (commit 5bee6f0)
[CK] Add gfx1103 to GPU target lists MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Motivation We need to fix multi-architecture CI build convergence for the gfx110X-all shard (ROCm/TheRock#3499). The gfx110X-all CI shard targets gfx1100–gfx1103, but gfx1103 is missing from CK's default CK_GPU_TARGETS lists. While CK's source code already fully supports gfx1103 (architecture enums, compiler defines, WMMA intrinsics, device detection), the CMake target lists omit it, which prevents standalone builds from including gfx1103 by default. This is a prerequisite for the corresponding TheRock change that adds gfx1100–gfx1103 to the `_ck_supported_gfx_targets` allowlist in ml-libs/CMakeLists.txt. Technical Details Add gfx1103 to the default CK_GPU_TARGETS fallback lists in projects/composablekernel/CMakeLists.txt: - Line 220: comment documenting supported GPU_ARCHS values - Line 227: target list for HIP < 6.3 (non-Windows) - Line 229: target list for HIP 6.3–6.4 (non-Windows) - Line 231: target list for HIP 6.4–6.4.43483 (non-Windows) The newest HIP version block (≥ 6.4.43483) already uses gfx11-generic, which covers all gfx11 family targets including gfx1103, so no change is needed there. No source code changes are required — all architecture-specific support for gfx1103 is already in place: - include/ck/ck.hpp: __gfx1103__ included in __gfx11__ macro - include/ck_tile/core/arch/arch.hpp: GFX1103 enum and device property mappings - include/ck_tile/core/config.hpp: CK_TILE_ARCH_GFX1103 flag - include/ck/host_utility/device_prop.hpp / include/ck_tile/host/device_prop.hpp: is_gfx11_supported() includes gfx1103 Test Plan - Configure CK standalone build with -DGPU_TARGETS="gfx1103" and verify it configures without warnings and compiles successfully. - After the companion TheRock PR lands, verify the gfx110X-all CI shard builds CK and produces a CK-enabled libMIOpen.so matching the structure of other shards (no "gfx110X is not supported by composable kernel" warnings). Test Result I configured with gfx1103 and built with `ninja -j 192` on an in-memory filesystem in 49 minutes. The windows build was successful and took 2 1/2 hours on 192 cores. |
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Bartłomiej Kocot
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c1ec24a2de |
[rocm-libraries] ROCm/rocm-libraries#4963 (commit cb6bbf6)
[CK][CK Tile] Fix batched gemm kernel 2 lds ## Motivation Fix 2 lds batched gemm universal gemm call. Disable split k for not valid atomic add instruction size. ## Technical Details Fix 2 lds batched gemm universal gemm call. Disable split k for not valid atomic add instruction size. ## Test Plan CI overall ## Test Result pending ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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Adam Osewski
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22de6a19d9 |
[rocm-libraries] ROCm/rocm-libraries#4750 (commit c065793)
[CK_BUILDER] ck builder conv transfer fix ## Motivation This PR fixes how CK Builder is validating transfer vector size and adds proper validation for LDS transfer vector size as well. ## Changes: * [__source vector dim__] -- Before this PR the data transfer validation logic didn't allow to set the source vectorized dimension to 1. However there are CK instances that are doing this when the group merging is used. This is used only for `DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle` kernel. * [__valid vector size__] -- Before this PR the validation logic concerned only single instruction maximum vector size. However our buffer loading logic has implemented support for loading more values through multiple buffer instructions. This again was discovered to be used in some of the convolution instances. Thus this behavior was reflected in validation logic. * [__valid LDS vector size__] -- Before this PR the LDS vector size validation was done in the same way as VMEM. This PR adds proper LDS vector size validation based on the available LDS instruction sizes. ## Test Plan Run CK BUILDER conv fwd factories tests ## Test Result All CK BUILDER conv fwd factories work (except DL one & ck tile since they're not yet added now) ## Submission Checklist - [ ] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |
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kabrahamAMD
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5e06874aae |
[rocm-libraries] ROCm/rocm-libraries#4582 (commit 990a00d)
[CK_Builder] added bwd data kernels to builder factory (#4582) This PR adds bwd data wmma and xdl kernels to the ck builder, their instance and conv traits as well as tests for the above. |
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Aviral Goel
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c8a8449eec |
[rocm-libraries] ROCm/rocm-libraries#4816 (commit 17ff961)
[CK] Add split-K support for ABQuantGrouped in block_scale_gemm (#4816) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Changes ### Split-K support in `gemm_quant_kernel.hpp` - **`SplitKBatchOffset`**: Added `aq_group_offset` and `aq_k_split_offset` fields (mirroring the existing `bq_*` fields for B) to track each split-K batch's position within the AQ scale tensor. For `ABQuantGrouped`, both offsets are computed from `k_id * KRead` divided by `AQuantGroupSize::kK`. - **`MakeAQBlockWindow`**: Added an `aq_group_offset` parameter (defaulting to 0 for non-split-K paths) so the AQ tensor view's K-group dimension reflects only the remaining K-groups from the split-K offset, consistent with how `MakeBQBlockWindow` handles the BQ tensor. - **`RunGemm`**: Threads the `aq_k_split_offset` through to `MakeAQBlockWindow` when in split-K mode. ### Constraints in `IsSupportedArgument()` Four constraints gate split-K (`k_batch > 1`) for ABQuantGrouped: 1. **Mode check** — split-K is only allowed for `BQuantGrouped` (no preshuffle) or `ABQuantGrouped` (no `APreshuffleQuant`). Any other quant mode with `k_batch > 1` returns `false`. 2. **B quant group alignment** — `KRead` (per-batch K slice) must be divisible by `BQuantGroupSize::kK`. Each batch must operate on complete B quantization groups; a partial group would require splitting a scale value across batches. 3. **A quant group alignment** (new, ABQuantGrouped only) — `KRead` must also be divisible by `AQuantGroupSize::kK` for the same reason applied to the AQ scale tensor. 4. **Minimum 2 K-tile iterations per batch** (new) — The software-pipelined GEMM kernels (CompV3 family) prefetch one tile ahead, so they require `per_batch_num_loop = KRead / KPerBlock >= 2`. When `KRead == KPerBlock` (i.e. each batch is exactly one tile), the prefetch reads into the next batch's memory region and produces incorrect results. Configurations where `K == k_batch * KPerBlock` are therefore rejected. ### Example update (`run_gemm_quant_example.inc`) Updated the comment above the `IsSupportedArgument` call to document that split-K is now supported for both `BQuantGrouped` (no preshuffle) and `ABQuantGrouped` (no `APreshuffleQuant`). ## Unit Tests Two new test files covering decode and prefill tile shapes across a range of `k_batch` values (2–8), data types (FP8, BF8), and quantization group sizes (1×1×128 and 1×128×128 for B): - `test_gemm_quant_abquant_splitk_decode.cpp` — uses the decode tile shape (M=16, N=64, K_tile=256) - `test_gemm_quant_abquant_splitk_prefill.cpp` — uses the prefill tile shape (M=128, N=128, K_tile=128) Each test calls `run_test_with_validation` which runs the kernel and checks correctness against a CPU reference. Configurations excluded from tests are annotated with comments explaining which constraint they violate (typically the `per_batch_num_loop >= 2` requirement). ## Prerequisites This PR depends on #4429, which must be merged before this can be merged. |
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spolifroni-amd
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6549c320fc |
[rocm-libraries] ROCm/rocm-libraries#4431 (commit ca33816)
[CK] updated github repo link The location of the github repo has changed; the landing page of the docs needs to reflect this. Updated only the git repo links in the docs folder. Also added info to the install doc about how to do a sparse checkout. Updated some refs that were messed up while I was at it. |
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Thrupti Raj Lakshmana Gowda
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9059730caf |
[rocm-libraries] ROCm/rocm-libraries#4592 (commit 45f76cb)
Tile Engine support for gfx950 ## Motivation This PR adds support for the gfx950 GPU architecture to the Tile Engine in Composable Kernel library, focusing on GEMM operations with FP8 and BF8 data types. ## Technical Details Added gfx950-specific MFMA warp GEMM implementations with conditional compilation. Updated default GEMM configuration parameters for tile sizes and warp configurations. Added Jenkins CI pipeline stage for testing TILE_ENGINE_GEMM on gfx950 hardware. ## Test Plan Tile engine itself is a benchmarking utility, so if it passes the CI it will be tested automatically. ## Test Result Tile engine itself is a benchmarking utility, so if it passes the CI it will be tested automatically. ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests. |