[SYCL][HIP] Add fp8 (E4M3) / bf8 (E5M2) joint_matrix support on AMD gfx942#22731
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[SYCL][HIP] Add fp8 (E4M3) / bf8 (E5M2) joint_matrix support on AMD gfx942#22731zjin-lcf wants to merge 10 commits into
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…group lane indexing Two correctness fixes in the AMD (HIP) joint_matrix backend load path: 1. The use::a row-major load loaded the A multiplicand transposed. The access pattern was chosen from the layout enum alone, but "row-major" implies opposite in-memory stride patterns for A and B (the free dimension is strided for A, contiguous for B). Select the pattern from the combined (use, layout) condition so both layouts are correct for A. The double and non-double paths are unified (Size == 1 reduces to the former double case), which also fixes use::b col-major for double. 2. The per-lane fragment index was computed from the work-group linear id (get_group_linear_id() * sub_group_size + lane) instead of the sub-group local id. With a single sub-group per work-group this is accidentally correct, but kernels launching multiple sub-groups per work-group computed out-of-range element offsets, giving wrong results or memory faults. The hip Inputs helpers previously declared use::a as col_major while storing A row-major, relying on the old (buggy) behavior; they now use row_major. Adds two regression e2e tests: all four A/B layout combinations, and a tiled GEMM with multiple sub-groups per work-group. Co-authored-by: Cursor <cursoragent@cursor.com>
Enable the joint_matrix extension on gfx940/gfx941/gfx942 (CDNA3):
- matrix-hip.hpp: add the CDNA3 int8 MFMA shapes 16x16x32 and 32x32x16 with
packed i64 operands (8 int8 per work-item) and the corresponding
__builtin_amdgcn_mfma_i32_{16x16x32,32x32x16}_i8 mad paths; the fp16/bf16/
fp64 shapes are shared with gfx90a.
- matrix-unified.hpp: extend the backend include guard to CDNA3.
- static-query-use.hpp: add the compile-time matrix_params specializations.
- device_impl.hpp: add the runtime combination list for gfx940/941/942.
- test/lit.cfg.py: make the AMD codegen suite target-arch configurable via the
`amd_arch` lit param (default gfx90a) and expose a `hip-arch-<arch>` feature
so arch-specific codegen tests gate themselves; existing gfx90a codegen tests
now REQUIRE hip-arch-gfx90a. This keeps the harness scalable to future
architectures with no further changes.
- Add gfx942 check_device_code codegen tests, a compile-time query test, and
e2e tests (mfma/copy/fill/apply, half, and the runtime combination query).
Depends on intel#22670 (AMD GPU architecture detection) so the runtime combination
query reports gfx942 correctly on hardware.
Co-authored-by: Cursor <cursoragent@cursor.com>
Address review feedback: gfx940 and gfx941 are CDNA3 parts with the same joint_matrix support as gfx942, but only gfx942 had matrix_params specializations. Add the default-values and validation matrix_params specializations for amd_gpu_gfx940 and amd_gpu_gfx941 (reusing the gfx942 type/combination helpers), extend the compile-time query test to cover all three architectures, and gate the CDNA3 check_device_code tests on any of gfx940/gfx941/gfx942 since they emit identical codegen. Co-authored-by: Cursor <cursoragent@cursor.com>
Add the single-block F32 MFMA shapes from CDNA3 ISA Table 28 that were missing from the gfx942 joint_matrix support: 16x16x4 and 32x32x2 with float A/B and float accumulator. - static-query-use.hpp: accept float/float (16x16x4, 32x32x2) in is_combination_valid_amd_gfx942, add float to are_types_valid_amd_gfx942, and default K to 4 for float (gfx942/940/941). - matrix-hip.hpp: add float a/b fragment overloads and lower to __builtin_amdgcn_mfma_f32_16x16x4f32 / _32x32x2f32. - Tests: extend compile-query-hip-gfx942.cpp and add matrix-hip-gfx942-float-float-test.cpp codegen check. Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Add joint_matrix support for the 8-bit floating point MFMA instructions on AMD CDNA3 (gfx942/gfx940/gfx941). Uses the experimental fp8_e4m3 (E4M3) and fp8_e5m2 (E5M2) types directly as joint_matrix element types with an fp32 accumulator, for the 16x16x32 and 32x32x16 shapes. The A and B operand formats are independent, so all four (E4M3, E5M2) pairs are supported per shape (8 combinations). - matrix-hip.hpp: fp8 fragment overloads and an fp8/bf8 MFMA branch in joint_matrix_mad_hip with separate A/B multiplicand types. - matrix-unified.hpp: relax the HIP Ta == Tb gate to allow mixed fp8 pairs. - query-types.hpp: matrix_type::fp8_e4m3 / fp8_e5m2 plus string mappings. - static-query-use.hpp: extend gfx942/940/941 matrix_params (incl. mixed A/B). - device_impl.hpp: add the 8 fp8 runtime combinations. - Tests: e2e (8 combos), check_device_code FileCheck, and compile-query. Co-authored-by: Cursor <cursoragent@cursor.com>
checkDevSupportJointMatrix compares the kernel's joint_matrix property strings against the device's matrix_combinations. Without recognizing the fp8 type strings the runtime rejects fp8 joint_matrix kernels even on gfx942. Add the missing cases to convertMatrixTypeStringMatrixTypeEnumValue. Co-authored-by: Cursor <cursoragent@cursor.com>
The joint_matrix fp8 element types are the OCP E4M3/E5M2 formats, but the CDNA3 (gfx940/gfx941/gfx942) fp8/bf8 MFMA instructions read their operands as fnuz, which uses a +1 exponent bias. Re-encode the packed i64 operands in joint_matrix_mad_hip with a branchless, integer-only, fully-unrolled transform (no float round-trip, no lookup table): subnormals shift left by one, normals bump the exponent field, and zero/NaN/inf map to the fnuz conventions. This fixes the numerical mismatch observed on MI300A. Co-authored-by: Cursor <cursoragent@cursor.com>
Run every fp8/bf8 joint_matrix combination with both a row_major and a col_major accumulator store to cover the transposed store path. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
Adds SYCL
joint_matrixsupport for the experimental 8-bit floating-point types (fp8_e4m3/fp8_e5m2fromsycl::ext::oneapi::experimental) on AMD gfx942 (CDNA3 / MI300) matrix cores, using thef32 = fp8/bf8 x fp8/bf8MFMA instructions for the16x16x32and32x32x16shapes with anf32accumulator. All eight A/B format pairings (E4M3/E5M2 x E4M3/E5M2) are supported, including mixed formats.Key points:
static-query) and runtime (matrix_combinations) query paths and the device-codematrix_typestring parsing for the new fp8 types.Note
This PR is stacked on #22682 and its first four commits belong to that PR; they will drop out of this diff once #22682 is merged. Review the top four commits (fp8 support) here.
Test plan
sycl/test/check_device_code/hip/matrix/matrix-hip-gfx942-fp8-test.cpp- FileCheck verifies all 8 fp8/bf8 MFMA intrinsics are emitted.sycl/test/matrix/hip/compile-query-hip-gfx942.cpp- compile-time static-query assertions for fp8 combinations.sycl/test-e2e/Matrix/joint_matrix_hip_fp8_gfx942.cpp- e2e over all 8 combos x 2 shapes x KX 1-4 x {row_major, col_major} store; passes on MI300A.