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submission 615309

ftyghome · python · License unknown

Use it

Vendorable · source mirrored · license unknownView source →

No package. Vendor the mirrored source: 26 lines, June 9 Researcher Reciprocity License v1.0.

submission.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-amd-mxfp4-mm-615309?include=source"
interfacepython
Compatibility
measured onAMD Instinct MI355X
declared hardwareAMD Instinct MI355X
architecturesgfx950
dtypesbf16, mxfp4

Benchmark evidence

1 measurement across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
AMD MXFP4 GEMMsuite of 6 cases
AMD Instinct MI355X
9.24µs
#144 of 1143
2026-03-23

Reported · How evidence levels are derived →

Source and license

sourceavailable
revision digestsha256:4fbaee23e8fd1f90bd72d2be7e4c4cc062e0d7d646e16f3d308a75b1cfc70380
license declaredunknown
license concludedunknown
authorsftyghome
imported2026-08-15

Kernel source

submission.py26 lines
#!POPCORN leaderboard amd-mxfp4-mm
# This file is generated by gen_submission.py. DO NOT EDIT.
import os, zlib, base64, torch
os.environ.setdefault("HSA_XNACK", "0")
os.environ["PYTORCH_ROCM_ARCH"] = "gfx950:xnack-"
from torch.utils.cpp_extension import load_inline
from task import input_t, output_t

CUDA_SRC = zlib.decompress(base64.b64decode(b'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')).decode("utf-8")

_mod = load_inline(
    name="mxfp4_gemm_submission",
    cpp_sources=[""],
    cuda_sources=[CUDA_SRC],
    verbose=False,
    extra_cflags=["-Ofast", "-ffast-math", "-march=native", "-funroll-loops", "-fomit-frame-pointer"],
    extra_cuda_cflags=[
        "-std=c++20", "-Ofast", "-ffast-math", "-ffp-contract=fast", "-DGEMM6_SWIZZLE=0",
        "-U__HIP_NO_HALF_OPERATORS__", "-U__HIP_NO_HALF_CONVERSIONS__",
    ],
)
_quant_gemm = _mod.quant_gemm

def custom_kernel(data: input_t) -> output_t:
    A, _, _, B_shuffle, B_scale_sh = data
    return _quant_gemm(A, B_shuffle.view(torch.uint8), B_scale_sh.view(torch.uint8))

Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0

Changes from previous submission

Against this author's previous submission submission 614404.

⋯ 5 unchanged lines
from torch.utils.cpp_extension import load_inline
from task import input_t, output_t
- CUDA_SRC = zlib.decompress(base64.b64decode(b'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')).decode("utf-8")
+ CUDA_SRC = 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')).decode("utf-8")
_mod = load_inline(
name="mxfp4_gemm_submission",

Best evidence level for this revision: reported

JSON