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[CK] add composable kernel support on gfx1250 (#6978) ## Motivation Add composable kernel support on gfx1250. ## 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. --------- Co-authored-by: Qun Lin <qlin@amd.com> Co-authored-by: jialuo12_amdeng <jia.luo@amd.com> Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com> Co-authored-by: hsivasun_amdeng <haresh.sivasuntharampillai@amd.com>
GEMM with Microscaling
This example demonstrates a GEMM operation with microscaling, an advanced quantization technique that applies fine-grained scaling to small blocks of data. Microscaling enables more precise quantization than traditional methods by using different scale factors for small groups of elements, leading to better accuracy preservation in quantized neural network inference.
Source Code Organization
gemm_microscaling_xdl.cpp: The main example file. It sets up microscaled matrices with quantized data and scale factors, and instantiates theDeviceGemmMicroscalingoperation.../../include/ck/tensor_operation/gpu/device/device_gemm_microscaling.hpp: The device interface for GEMM with microscaling support.- The underlying kernel implements sophisticated block-wise dequantization integrated into the GEMM computation pipeline.
Build and Run
example_gemm_mx_fp8
Custom verification parameters:
# arg1: verification (0=no, 1=CPU)
# arg2: initialization (0=constant values, 1=integer values, 2=decimal values)
# arg3: time kernel (0=no, 1=yes)
# arg4: verbosity (0=no info, 1=verbose info)
# arg5 to 10: M(256x), N(256x), K(512x), StrideA, StrideB, StrideC
# arg11: KBatch
# arg12: warmup runs pre-timing
# arg13: repeat run count for timing
./bin/example_gemm_mx_fp8 1 1 0 1
Custom tensor shapes:
./bin/example_gemm_mx_fp8 1 2 1 0 256 256 512 -1 -1 -1 1 10 10
Run the Example
Custom verification parameters:
# arg1: verification (0=no, 1=CPU)
# arg2: initialization (0=constant values, 1=integer values, 2=decimal values)
# arg3: time kernel (0=no, 1=yes)
# arg4: verbosity (0=no info, 1=verbose info)
# arg5 to 10: M(128x), N(128x), K(64x), StrideA, StrideB, StrideC
# arg11: KBatch
./bin/example_gemm_mx_fp8 1 1 0 1
Custom tensor shapes:
./bin/example_gemm_mx_fp8 1 2 1 0 128 128 256 -1 -1 -1 1
Default invocation:
# Implies: ./bin/example_gemm_mx_fp8 1 2 0 0
./bin/example_gemm_mx_fp8