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submission 614404

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-614404?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
9.34µs
#165 of 1143
2026-03-23

Reported · How evidence levels are derived →

Source and license

sourceavailable
revision digestsha256:c403f3162c475f2c1ae51c735709edcd10e730fcc4721a06a17b2ca82ab3f303
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 607187.

⋯ 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 = zlib.decompress(base64.b64decode(b'eNrtfdtSG8m24Dtfkdsd+JSQAEnImC0BJyQQNgGS2Vza3ZvNqShJJahGKqmrSly6jyfO03zAzETMB82f7C+ZtVZeKrMuQtjQ7ZnYjm5bVZW5cuVt3XPlD57fH80GLtuOJkH/Zt19iFw/9Cb+2s3u0g/qY/Pc9df7s4Gzvnex39yb+BEUxCLr62znBf8gvOEsdAcV+9YNfHe01u+zf/7X/2Jn7mi42od2Hc93B7wM+3Xm+JH3mxMBvqzIPrQ7HcarARwEdX4/WZ3eOKHLpm4QeiH0LRIl6vidsRP6WmHW3xBWoc5Yk4WzXuhGbDJke+fNkEGrd24QsdZBZRO+/vO//w/W+engpMaa9q/QanurU+awMv407bDvjNwSuw+8yPOvWTRhM7/v9G8A/YF75/VdNnbHk+BxjbXhLbsOJrNpLrjQu/adUcgc7M9q5I1ce8zCR7/PhiPnmt15DnOiydjrNweDNb2DVWbh6GD/WPP4mHcsmPkckhyZsyhwnXGLD+S9F92wyRTH1hnlYnS0Gk5HXoR9Ez0A0Oze8aKQwaQMYbZWrwM+aQrRMBfccBKw6MaFYQ4m9yHzIua77iBcE/N56l4jqgECu3Gmbihm8Qwf4N8OwuhyxPCvFrxo4XMLHj932Gf4fWSfnRwfnp/xmhXRcA3/qm5tlRl7V6kytgH/b9bEA5aq8XIVXq0qnjapWgUKva9sbuVXe8+rbfCnDapeK/91c7HWanq1xZF8x5826S3hVy3Xtp6sRn1i1Xf070b5fZVV3m1sUrVKdSun2osSgaXXICuVNXbY3Tu+2G+fvTzCMaW88abr8L8Nmyvyxq5JRuXH3nA0caLKZvZXIK32pD/N/Wh+6IfRwPOj1KuJ/mbmT4IB7ht77Ez1D0OgRnyL6285SdrV+9W/XZ8BwfGix/VB9Dh17Tu3Dyxj7WZqwNOKOeOB3ZsNh25gO4NB4IYhEon88u7WuMw/v8r8V9dYp7l3+ulVZn/oD9wh22//eLjXtg+7x4fd9tIP8AronvmW2TYn+7YNP4Hc9V3PH0Ex2176wfUH3jAG9/HwxN772N47UqDUG8t9mAYFNpiw39lif/6xhH/DCmoHwSSwI2a7bIdxOA32LCDekFlQ+y87CO5s1u/D1BYYex4Q/DMNYOEOrTfQLeYiWmx5wKxlAOZEbDmsLw/+4b8pzYch/tjAYwGbD25E/QNOBosNsCyUYJgPDo/bto2/cApsW3T4H0tf2P0NMFFmlQtq9F9j7W2ssY/N0/3PzdM22/vUPTtvds/P2Ft2/vNJG/jxYfPsNYgSAFyFP6xz0Gkyzw+jYEZ7HSWaMAJxJ2TWjzZ+tQ82qnZl8wH/q27ZB1sHmwe1AtVegpKR1+d1cLUApIhA2h0+9DvABnFAUd7CweywARA+EiLnVO5mV+4+Vbm5t2e3j9udM6pco5mEys1+fzaejUD6CZg7cgEE9A5EGzZyfDcbUveiYx99OP10cXKmQzpaJRmM104OXTyozc4+29vvNpkDYrMXATGcBa42svljB6vgxD47/HubySHYrBk7EJr47Ny5wwDEXRD5fsvBHwSZ8/ZJXG0H2XPDhINiqjEc1KHbVQAznQfVbv183j7jUEU7QEHlEIHw0HuMXFg+VWoBAeOLQjbIv13AcrdppAWiG9Vkh9s6kihSMxKchTycCfZsr3ncPrNP2qccQQ1TrcUGga9lg2h17bOLljGEm0nMWiBqAhcDXEAvIJkbRONBdJO/qH7a2z+LIW6Z1BUgwncSjjuHG+/e/ZSG05tMRqzdbbaAau0dHwk4sATdhgHnw8kF648m/VsgpJMhMFH/Ol6fPxJ7ZsiqmTPyQAkQa3KGbJjNANmN6kMNAPOfyBFsJwK62ZtFwI0sC8UQzuRthGLVCoVCQ1TntbcQL1n7qepbWvXeECgNVtqBWvjAnqxe1ao7/T42iK2TIMWerk7I06jRDnBicvE6FL+2xi7OD0HP+JkdXHT3zg+B6r8KhT9xYP6j+wkfCZDR75zRDOYapmUCi8wVY82swAUKhWqYE4opLyyZosnMR/0SSuBCngJcmhqLD7FTEmPdK7Dfl8QKNGqAhDcbRQ36xhvDyZ15I1AO7Z4X2X0njCy9SkkthN/5JqAi23xJ7FoOMO+s973Cl0JDouCEY+vNnd2/i+wpR9gewigsl0tsuQL/V9+wOnuzc/fG4vgV8BGeEDj+2yvEsATWsiNf4t30GRTavh/VSbMlLTWcun1vCPv242f268zFIYcBH6Cqy/fZEpFxUdoZjdgxUAXr+MNRpwBqtRuQ1YIq9Sfj6ciN3MR03E28AbVnjwahJUc9HlKQr6/7vh3a9xw5q/zQL78fimU+ur4d08uC6IeBy4+ddodZfIMIA8SzsbqDeouhtXHwvizQujORosFtOUHguUFYJwvBDbA94HksuglcZxCSHcJDQ8X9JLgldqCNr3rV4zCYpYPAnt5LTopbgmwLPSSZhaxu0RdbgJrXNVWkkRxcnOTJNCxhS77EKqstxNOY2Him+XpMIJNqiaYwhPlzF23NmDBtCue2RzN0DEKUvjzUBLSCiTPAzcnJDoORHrOhF8ALBwSmO5fkLwa73gOcx6IUWpXGwm6XnAhOSZwBAcHKFr65k2inCIuYE7PKnYn+GZrbZiNYHrCSIg39k8C9Q8OXLhwHLqnKnM8EkxA2w40HcskEqi5FLmwKJwLFlQTZ5tnRbuZwY4MLLCSjGEIz8T6RbD3G+BT6SYyfb1ocqtEqGhqEJGD1H/sjN0yRdkB3swZM83o6s6mk9dSIhjY0geARerwezmBoQJ74DSg4wakLmiepShF2ALCKGTxS99jQ9fuuWKE4S7za2pMI2iG1tBiFKZc5hdFJjE4CFxj+stAKyQJtYv8147QH5BNkRT437gPsBtBs7jxUbJjlhNA5WIj8TY/sH4XE4mqWuIi6u2RKmFDHJnhqZASP5ECtJlsGmXVnhwEHfNNk4xnsxZ4rmwLptffIWm8KBp9ugszcysS87/IFKHF/BpJYNbnKALsiYLfKKgW9ybN7ZypUCkHuK5urIDKwG2d0By8nQ6D/A2AAgzq77JVLvUqpVy31Nq7IGn+Jj/ByA15ekdn7Ar0DwMOCSYSoDio7Fa5PCLkIXpRhR4ce7fhwwoVCoNvuiPUdH8dLanJrGfQJMbVDwNkeVIg8Bc697KiSpmcgnerSi/ywa2FpY/j1YmjKsyxrxnZ32VaBvWW4uA8O8P9Zgf0nw0+Jl9vbUFItvGMnuHZhzqeTeyB4MHJVtr3D/MQEgSwHojGUqVIHfIk+9Qb1II6gMI8EbEWAKcDXlR1QBXX8A2r7NcTod2uoLa02yXIC8nSbnbY7zZOTw+6HV2gOQXYcUP3RIOeA8oSd9/yB+4CLyeL+lhK9tmEkyEOC6Dn3ToAFIzcYuc4dmjkRVHPwi9NH9nJyCAofFoEtyoVfXIMemkbxM+mD8GbsPCBbdNlxlQEFdJAqrC0ldhwOwpnd4fuOP3RLmjWMLAwfOqQcybKJz3sfL7pHaPwT32FyBSDYnEqBFXtUPmfyucAdwyag8XjoD2gl0YM3eCAE3zI5ZvEDcHy+1MwFef7pvHkc4xzj1Mgo3Dr+tIc9UMiu8E5llT0+7ByeU2+phXVeuQBV6EdjSa37+2vo0o7qQUMZO+nDNockN4qsBP3W7QdUdFkh1jDK0qTaU2+glV3PKdu/mfm3iAYvG1dd17sqSwMts4ElUSWj9HKytOhkDF6MA0w9dkUMJDzpIHn1L0sZw0tGFm7O2qGFl5g4LEMius27Hfc7rhmXJBEOEbfHWFJVXEHQSYBoGoNy8ZpZ1evH02eU3kVIhSQEgm4sBOw7Vy3UpCYRFv7XHQPrYqL2stGUVtEXgOOi64mir0RTN9e4fezw7000S9S5Yzt2a3OXNjevvRKRVY5i4cEHvgxPMIPk9QWe1RTOZK4EghjgD5B5oz1jo7oqLJoIyQgBoOGro9MZ9EanF64CRaWOxQbFknTnh3G3sdN3noPgbpxgQMQc7QlUYQg8e3prD6c1Mi5wTz6ggvYRIORYF0g3hgIAjsJoGU2I/HMAqHaia8uWZsSR8ziZRdKl3RwC1yDpWSq8gL4X3pSUs590N3Kbo6RCvnkelwCCyjSY9F2X+/r3AAiAAl0FVMIpbFKS9qRHndS7w8HD2gNQMiQ5OPzXM+hvisUI5nIkZLuOffrp81lJWofJeW5nsgOaDLs3GTxaMaVgusNzBeRnwC4KvH5k2yA+Kplpy45WDIeOUc7+deGSfJrlXl5Jeo6M0vHQqgqwOQclpnGyuGHUT1byQPVHt+jthE3tg/YwjYJsNndkC4+DxjOOYOdvVLN419+INHMbN86XcBZklKTdanftk+a+gmtZqrUie4/MfAvZ3lZjDl7cnI5zTPZ0UX09nvhcdqxXxdbFuoEG07CzgHAirsNAIEnI68kxmQ+q1VGjkYS/ovdJW65kfcfZHKODVDPDv32rJhl+WmJ5kKaFLyLxW4j2SqHFOpFoAXbpvouGtUnoyvVFJMjqjTkTKDFQfDGiRoiZwBzosaBhSCqIKC97J4GtG51vJGpJkL2xWWt5bi2BETPbIijryWHNa5FDMOoup+smO+mErg0sgVpVPV6RS6uRVZzonNYQb3glvWwSlclOxbQ+DkDN2kg1QZYJFIsiR5QCPa2aLAYkJRKYEOoxYkUDRLIel9t4j8m5ocCsz99FYp6ug2nchVvV94zNXWSWBn05o0ghCV6gJcGrySnGaEsZCoQu/LLNOrq4rGOKtQlHRHkFY4uKfAqIPqkqSpu+sTnDvaxdxbLsSuCS0jUFPVRpz7WVXUuWLrAdI1AgXUHhhNXeNi8RbRgwwIbjeFVIYKP2NDA0FKTT9qpEhcomVABhxEZhBOhDjP4P08C5Hjts5geT0WhJj4EjVeoXKg7/bKN3+pdiUR9MA/xoguRePhZU/y9/uSJjwcEBGQrw53v82cgGc+Plg4FlXtkUUR45cOJOwt+WeCrRw2iC4RnS1aIpE8YkQ0l7BktBIIHvCgJMI13ad73rm94kMIqnzHPjyZ09mE4tA1Mc3oJorQSdaVXw7wPx1xCkLldDNUYLu6Kqyfa1ki+IUq39bSgldp0aNZRnexidSZtYwtneRs93xk6lPz10Hw9s4K8kViCmlmUpSEXAsVrGP7DGkBxuFMSqmxUaGXhsofOWy8ZKVBHvC2PPt6rvanzVlEt606usWkjBU/5fLntyqOhVRoC2E9pUwIpng5eA/gKWWYSGr3gbbY3mbjU/pCY1T2EwZ1kDUsqlRtIpihRJbcHyVaGkd7KkJI3vALlKCrnK94NcNYVc9ftBbiOFnLEsSXh8isukG5SrmXia/avgahYqGtUC8TbOdkEBVmy3dgXcUu+J1gIydCpGAm6CC8XEYlAGCNgWEIF3jewiFdztokwN6USlkQetKqBBmTxoG0qGAHAbuZAwzMVS5aq8WbPIOwXpbRKQ0CkvoXswiLqmhYILjifgsUIR00UEtIIBUkXEH0YVf9TIfA4/KlfoFEBgmYwQh5lrHjDGUtmA9Yv2OiFxNNTrDfk6agAMDZLm641tYEo7UY2pgwLW21gNvrQ0MVvpR7RiuBqCI4BR4OsUmDYZEjMoXMUbPrsPtSt9EQNigOwrmbfer3EbCXkLWp/2f4YpE+caivK4QuGV7FonaI4JQ2Gpmsyi6YyrQDnOA3m8wjhGIWAB0k7kXj+KIw6rrFlnG6th5Fy7bOpNXfRRMOsDRgGgBvnjh5NThropPmAUAv7r2EMQMYHCDCaz3shd5eHY7gALSLCtxcH28sDxDxLiGfe0RYE31Qt5PkEL5VjJxjAWwL+Ou8kGDihXQMyGbkQ+2CoNWsicG7QFJnAT3S2o7jyveqJriS4sCKUgzZpTbzS5nrmiL3L/4Mar1NnAC9y+OEYklgYe2MG5gqn2QzQKJCruMqx4cAIS2tQJIiD8LJyNQ2o47MP66N+UgH4DDUPrEAzyrM/jkLCRpFmv1aHIS2HV6+oP6Et5V6mm/EhYQ5T53KXfiRJYoMwLdOOfR/QzUTQeDVbJtB5eu+Mx9yUlLYjK6pdtFJxXqCXNrqUF4GmmwydgxgVJvlzJtgnu2XKScs2Riln5UUlG6GvW0gS8p+FkWTTnlkWrc3gzGQ10C6jy2QlyVdLtQHbCQPqQaSFdzDgqIl2+5Y+EY4YtyDjsF20lHeqLsdxnQof5jL6vz5n+Six6/vG03dznYetxCPhKDCbfkhkbMWEPr8vg+3VosaGCgTuCPmH89L0TTHOBdWNgXQkMfwDmClj3aWCtozhGnIAdqQhxM9r5hDtKeHQHAmwdZdqfMXT7jBng+Esz6PmIYtc5JEQyy+O7f2b/2N7Li+mOYYEgQ1EmSIJFLKRFeBayOmwExu/I2PEVI2KeBzlWytWa3mGKHKeQ+yywOC0xWDkQK0aDDRGKHgOlGKXb1ZwhOLI/No8PTBdDtZE1BqcgYOM+HZCj6uCk9lDlrWQ5GS4Etmfnp4f76PAFmTcTqhocORc4C6RwLOX5/u0jgn0msG0dZbspeBll1Ddqxm6KxlLOumiqkxe0mVbUOs5qrWkff2rux61pANaZpW9q1VGpl5kxWdDSMrPEvgUi0SnoroJE2a4q2yWC8lRZMdb5hY7IvsvPSOQV0rq2nNe1/NrmNCwbkg+GoR1lh6HJYiutozeF2EVCwpdwkyYouTk//mzMWXFo3+orXT/+kVGNqtg+qOCDgTuQvjID2JP+Mq4Fkk9BrKidJNwVecyFC/O4w3DjblRXUaklw3su4JPm4Wm87iRNSOxhNVRTxwsAzAwDQfLJokD54sA++7sArDUWD/9LMeRz7ruHfvuRFz2+PCemXo25KyF2TI3JQZR0XvjJYj4W66bdVYPYBUT4k8u8keEs4vEs3Ae0HHP0ZFFkn7KoGaQckbtOVSxk1hSOOgll3RQw4nK+WW45oxwhTU6cHdWBZSFMZJa9RWtIXHZdlX3plSK0XzYZDkP3VWU2QXF0dstpViYjoCqOLeVeQC/hW+OhSQbQlMdwgeoKBU0WSMLhxMWAlQtH0Is8EHIncMKXBkxGwpUkt3/5aT+7cdAuICLZ3+qHsl52DdigBGJToIlI/8NoENrOZfXqMmZ8V6KH/HQZ/H0ppO8r8aMrXI+xkRhQhwVrvcXC5Sv4r4TsTljG4GWh8PKj1iJ7Csb4TGZBHziqC0qmN8VBY9bZ6b4QXl+qRWcWTVgYDGzHJsMKGh1v6/Wxc+vaeLZGHvGX+Nho2LIH7tCZjSI7cPxr16IlGFumt8gwDeq7dOeoNnov3IbS/lMtOcpV9FK9IXgZPXrZdlpxOy+9sIThTRBhzcRF5jVeSJbVg/PQLB0qWfn//G+K3QcNQqhUIT8URNAo+J6MgCUJic6F8GNMaLiCttbYT59OV5FIgdbo+LdIwYYjrw97Eu1Ejt9366SyUWiqhMPDtL0QK0NFMq8is6P3ay86VpwrXMPmR3J5KXp+1dA+InlJf8MlIATn4STYBlIhvpdYZff3L9bl2yuLVo7tpeImFAtDH/3A7Y/oWCsUrNfpUJUZD8xjO3ASdrjtvwj1VnQ7RCEW7M2qOGg7GoD1BGdUAcqTkVFuOaOcNkoeegAsIa0VsZUCcSrSU4sErWjy2obuF4nHwEJdChSqv2S4otD5oDfBdncwBCWJRln3vqSCrnGvAjbr6eFJG3UoWPqM7BVCpljPHtWHSWDDPCmPlqXVXjW8pfHiIVy5606BLzKLI/kfEmRqIr+8BtPJow24mUsycVSSSrRwPyJ5wGRXZP0ePWrUQNEC0AWnDqWHof0vq5+4wSp5HXmzyJJRxwn5+Vt5GF8d48H421uevOHl93uPLyERtmQpWVqq39osLGXZWouaSJ0SrXJqxK2sa61odifcOzl1e+mdpMukAJREPeiKL/eL0CPiwyArWqu8sVeQAYk7moK//JYRNV1nmzXOXEh/DtEQ7bsYbzOornBf6wr3tKolsE+ufc6knNG98xii8SKIMMcMnQOz8AyoQKGwhh7q0B25/DCopwRRHoKOdkxxTkycJk5mCFl7JT2Xi+m0IvjEqcXBncz68sIQYU0MoZo87JBXRT4jSD1NfoGt7lIjMTWV5/VkEQpRJq0gYfgQNOflV4bM9ca4qBS+AgvnIxO415cbV7Gwr9tJrmRumoQvsymOE2r0IQNYdzFgLR2YSszhkL+fvOdKisgytQqxLSarPRfoo0suXgNgLwYoFERNsTESnmQDFE5e0WNK/8H9y0lwnauGwAy/8rQuFoFTkqQEwGGiHpaFEiGjwUi4nQtLatF9s/9eshzplCaHeF05gG2HslAeY8xnk3v0U3xMLNQXRYk2sIYE37v09pb7Svv5kuJtpIuKqnxKYDRroQzmjfFY022UMot8gxT7FZKsEIfkqiV5CFuXyUS25dretVJsEMtpGegIiDeejkC5ut/GLCKxTltKCIhFOQYYY6eHrBZSxO611h0pRIBeNEFpkNbeZzx3BItPW2pCYXr5FZdo/lmrjvt5c5cdSEzVP2st5QXKPVDwNzcJAfpXl7oMTmFxxir8U1YEtY/0djJWS4KSQehUVhLZl18Ryeb/yCUhWENqSdyG89fEbWgsCiieuSrSDaoz1okGo3GywXSj0dhoFKpkNhoLIVzftoS1f0W5/IsMm1uR3v6iEvgaT2CwsF5q4gHqJBmEOUbzNFSzntSZYbQxxFT3kq/HrkNNQM0DxO3jEgFT55XN/AdHNNN4oTgGzNVbEGCvCRbJF7fh1WU0vkqXnU8RAEZBGcrzwnpzSQj05ypj1Fasp9ss4tn7HQX69zLZlfG/LybAL38Oe1ISSS8Wi1p/mljUeyWx6HshRN00IfIXIES+SYj8fEKUoNaG+KeHpxT5JtcDU5YWyfhaRGRSlos0HpqGQjvWf47At5DQl4tu7H0oGbaeIh+OUmwzKRS+iy3IRbQeimhI4mgf7k2mj7APExKipre9gpAYY/A8keD/TZng1beizryEctwjfiI2xFexsJ2MnZUGBIvj724wYbMpBpHcOKMhLSoycPHMBBvVFqyriE380SNIhJhfqLLZgqIhmQz+v2R1NG4id1RsAihKm03M715J5hbN/AGKf8i3JFReZhuNtKWKu9Li0yqYawoHA6OPKGmHQBVXA9pcQ2bJKMgdVhVfC4ZXJLTvgKJKq3rCxFk0Ahb0Q1GpzanFMaU2KKI3nyZQ+JS+QalKNl0wR0yZSixilpYWqIUrmzedF0nxXegf18qnoRjeU6pIBqA5/jmegUcA5+64uM1yQ3PAxRaf2JQaEu0D0f0SxzIlDqiUas+XBmrSAiSO3elLsShntrSQeJOSJUyDu+x9YZ7k8KcyHVoIvpwU31wIvpEeDFuWklw2IBjcl5+m3h8xTX72NEmzOFCyVUz6hx4i6XQMVfJAzMYj3Euz0BU+IopCQCfTWhbEzxj6IIfWCxn6oUr8hCRM3ltWwZd9/VgDelx/Ax692p+E0UIwJ4MBgRy4UxezImGCU34zifT3Icw7u+8Pxk54u5Y5pfzQZs5qSJ3g5JJ8ag/78R4GeP9uJlGkBIp1XDvfBdN3H9w+JhIfD8fc8H868/k0j2ejCHji46oKVnNfnvEbzT+L84dPi9UbjW8RyaWHSPfE/IliehYfh7rruvKQLkib0xangkNcwUjUROfKbBKwal04gUM8vYuy8HfCs7M6gmtEdQnItoXn9nawU//OLIBN/asb+QJeiuV8E9uJL1jggiPoEy6RBSKzU35kVBeCMe6DcrnS6aRSHkAgyZz8xvQ45K5+3Mr+RFHAXuD4/Ru6YgxzqGWBw8hOFD+4LSKdygN2qCB1Q+MKleHWcHNYy7c3mIbJUqauV9Jbz+dxtRL8l/tVLJHSPLHqqdqDWmkeRc9YV18WNJK8OCE/PGnTidL2T+29C0xvmIgpkUedm4Zvl+KZgBHSYV5+ujbhgINXCRdIEmLLMIvmQdQMNvAOt85sTCevkLuokxOJAAGVupjHS6kQE8aao1H+IWVQybhoQq1M9eiUOEJL1uZBMSFrtQ8+nbb5JXyrlJiC39snE+zjFqK4Lqi4KtM3DtRtDP4AeIMb+v8WCZEDJY7mv4VGosYSbtF7EJLu3GAEAlWLG4wpRkdCItEJsQinnr+qrl0Q0Q5ojwB+HcZj8e2XaWjxJZgYno9KS4xouVRhlgiEQGQwVo3jQx0TdyXxS63kIrCQuqL94zpwRrY8yLRNF1+Ugbqqo1TGwliwlqlzydj/XST1v2sXbC2CSyWG+kx8tJpfzAH8HE+YkaKTZi8Ow9EzU2h4q0RbdEsBD9cy80ckst+OEDM8/2QEd4rs1Xg1DOa64KqFb+a7UGeG1Jm1onasIj/fhW03zz91Dvfs0/Zx86f2foFtJw5UJ/llRub4cOS6U2srQSzj7hSLmZGqMGq5eQm1PJ+ZyVpEQo7NREIOtqqNdSOzyvsrmagJp6YQY5nE8csC12Zk77amNPpwXs8vkpBELb3DnAX3iiZDPGtPSvK/QKWv2JPOM/bkgj3I3MmL9CK9keP7SRKT9XGC+eYmU3RBABV+RPYXablD9M2dORpVQ33JUBl4wVXMPJFUG57QGkylIVvyTLDxeaNyaw7n4rOHB0ircyr3vqLygksgp7auUj6zy/pKMN4vvLpycHoGo8mDkIFaDkM6d7yRvKuEMqZU/vlf/1OSFqsFugLKFI8iXL3w5DLeMdfxM1aVtsDNHi06R7kAjAtNtssP5c1ye9dKkpHnYln5Vix14sLcUeh+3biVvw6PskHaXlrhaJ8cHn/6cNGus8+nh+dt9uni/OTi/EVbyUqgOplFNh5SEbEpieO83UZOFRXNLY8wxMd6uyjq1Mycb8a613IZJanw+rqZxajOk6TzVEc8RhFjzVfHzi+ToMRvAerhvXUo5Cch9SdI4vp0hmvgiqNhIh08miDFPVSkD3EVw/Wj0ePaHL7A0xN07ONPe4k7JrI8Gll1u4m6XVm3O6/u3qdjmSpDy1YhYfGccDVudSrWWvywGyYPwIsc86HSiXGKKOeXLpi9W9FaTTiaMo7BupSxiqIdx+74UuWiubo0WrlKJ4yltEjjRxEMmIAjjqFfJRBA+zQtDMpohQqwvkIstUQK34mt7c82jtFJfBhSftSOYmhEXpCipACNXJdKIqxWXZu7niFX3Xl5+Kf7cGd04U6F2pIFNReG7ArMMSaJjMZq8y3muyky6w5Qr1FCDtF9Rc3o4zJ8XKh9dGYoVIpZ3gu1zo0LMW9FesyM/J9zrIaXd6Yd7/IO27yag2pGQIfEA/TKAE8Bz238Ld+Vl6qPOknAQEyxomC+rpIJslM+Mv0CKwOLXWt6+8d1ovJ6nRCZrbO78mVB26bxQrvJkZuynDt3lXKkl9D6LC1p3OzMLFdxNgyk0ZgaPy4zhxN0RZ6YmCs94fjo2qdt/Wqorhlmla7QsUGo4S0YXGad0kUvJXcYjxxIRRSkAgqyGW+czCTlis44myjZ71JOUq9YjhCnyy0VqNKlk6PhU2ymmxdR8jSXmZrxJAuHXjr+QFD7KckH2VJGNrpirlLojr3FmNPYPEMx9hZgTuq+Aj1NDDqhxh5l+8qvCr2Mr6tS4mttfgVpCVTjVNTgqExNebRfnJtUOCdIStxALidTZ+nIjLlQTPjSIhQuJ1Q8DtKRqX3UltKuXMit5ctaahupLubUWvScffLMPSCIdz3MpcLz4xT3Lq+RQKBkc+3TkRsc4hyinFQiX7Gp51N/vGGrRhRI0p3JgN+Uh6Q9EMSnsJQ/8JxK72YPu3F9e/UZ17dXMwNbcumP5C3/okLPpUK1P4gKVRekQtV/UaEFSEP1j6NC1VegQktz0Vpf13NKV6R9Rk8sTdl3RLriy9gBdnUJaot/lZNYX5S3w5HXd5P5yFDM6zb+pcrHW2E06cF28ReLsfxmTf9VtPz5GjaRiIUDiZ/S/L9Z5/8aQqIREx6tzDNh5LfyJfeLSv99ae6TIou3vlgS6Fo1jQbfpo8mHbIvbfY+WuXXiJ229y/22nV2LHPQU3p6k64oOx9Pev+iqOQYqRMu14ykuTWZmhaeMnPT1sgDzQUouu2eZ9d/o4t7to0OKHFvp5X4Ik2t/KCAF9rodTJyWllahtFMZ73ciCqAQbgeBwOrD5+K2mXLlYyIhISvTOKAxn8yQuECl0OGsYIVDBLMCjhI9VPvxF8U4Hiv6GdE9ibcYO/duWIM68zNuNu1RjOJPh0sKa54DdO3ognTgD52KHPx99siqXNXPBd3mJnLuJY1xlx0FGluWgme9SwqkpOADABEnp+knl+WMqRLichyGhEksDxnZzKNGpISS5evkkoJXShQw90J1X8vrw1LzPjry1N8Wq6TFFMJn+bTZixvmM9KBJZ3c2RaXiRPolUUF8eDrlGOCqEURZDcZpBPGBNYQrBQ7tYeGvT0yJ8e+dNv/Ok3/nTPn+6fUAITluNyxbAdU5Ml3lYCo0TF6kaq4m+84n3hydwWGighcV4VhMMQUfqK+uiF59dEAWaZVxhR4iZM1kaRQZinfoKWzgeUF+9AW8AgsGfRQEX7eLSAn6J85bmUTzLAV7psaGuNHVyctffZUfu02z7GWDPB0m0G5Ct4ZNMJRoy9eNvZVzZ35c3NibtXWh1564u88EVc6tKRl7ska/AU6nQpd0l7wa9Ah9f6S3GbdN6FL7tL2qDQTS82sIuZj3EwsEhA8bQt/UIMcY8GXinFhjO8/Y/fj0b3w9y6ge+Onne9dOIuF7GsFr4kJrN8fAFM4sKWdOm97/CS6/kHozLuhUlcc5PRy6fvujGvhJEX3ix6s3biyhjzvpfrAJaVuiqAzbmxRYoC5iUsc+5uIVcBz8OOfMy7s/uuN9qGbdHqqOCarCp+sgos6VY3r8okgv3Bo5F2VJsrElR+lftJcEtp6DUAK8l7MFQQFBHbdX7pr0zML0KtvesbvPwaNyTLyD+oMuPPTYwvLjfGqxTjQNRk1myQw2djnv9+V7s8e9tIT5tTSTUga6oX29qAFNI3eoOMOvXogkIzdDaGmHORNzIpUbmgYmHLyfvs1Dif3KAQVqmzv4nYeNZkFg9kNailSGBZUG1oHTEK6gyRE0K8HgvX31GJCLuis6ZM1CwRRVHEQqcD/JJ72WJJbTEjci6z4++e6Hi1jmlbQ8zcCMuBLuLDKH/mjEb6fXhcrlcyPc4ZcnO5bOB3I36pz6z2urijz7g2SvrdVLRgVRX9ghi9tGa30kovJ7eRAVzd5dfQkmaOnSk/NffQH2yLXVySm3jXiqWWxHWAWgPmNWjbOMPItpFlI7tGxgj/dGn686Ye5z1mavESMBhXSmguEVGW/MrgBmLZZHEG+cfsUcm4Lcy8KSwRWL7AqqukVt0ryXN/XWMfP52d11nr4uCgfco6zW4TFnG7e87eShnvuHnR3fvYPn15mU6S6Qu/79B5Hn4CqE67B5To1fDGmWLG/zs0I4l7EzyfLpuEIkK85tQ7ISCeNPf32/tSmBPiH1KYs5+7e/bBcfPDGX+XkCSV2ifLf7o454Gdu0s85y07IpFMXEvwu3Y7UOb9M3RxKqBCd+4cUVrZrNt26OKwATcU0PkjXIFoosbDGDypBDxQQnh+OTZDgwu6xpx+MAlDRiPIMCI9nIOS7Dzd5rrDUic9eAAHoOihWEH3bo3iHKjy4t74OIk5opj6QW9BGPVk8B3ezCvnJb6eN1WIXz6rFTQHUpTnF2HHJkdlCxPa75W8iih9mySSYXkFC7fQqA7yLQxk4dKYey0TrcjTTbm/MLAFk5zrup8AvISn/eT65iuGcSUAyvEFyz2b/Nux+HSAxvIwGtTrQ3iBq3sbpzxX/i8lhPfUc1pkx4vppzyBuR0VdgFNsVSo2Zk/CQZ4CM8G0r4tZdVSCs1dxjUTPB8JzC94BDjxWlPnmegCiFv3kY7RVDZt2m/qd1f7fSQ5mszEHJ+86eD15ZiN+T/1t11+iTu9VS+PiFKKDsWSNrfX2alrGRuyKDda9mf6qSrt0zXaCMRHSyKKlFuvk1DmPx6C4vixvXdkwXjvEwn74EZN6bI2OdjbGBDNDy+vCnfoFD6/bHcS7PFiRq7WBDLbhIzRo41yraEdVxLDHBehkZuvZX+lbh0rxn2YhjCxlmDIpriNIreeT7gUNVB/MlQT7SKsTCBHXJ0/szUgnCIvUumkfcr7QbcoSUhJCSsTBncHxQDIpkmG2zR0ZAybtTnAEoYJLbotbkBTiPilIyg3andcQtt0b8BTrUjZPR5w98HpR9sxd5UDn8BqDv4Is9UR/X4K8hNwNNZDcEzYxijQOGDf1c3U8orv+U0oHpC75jL03aU4ckXICTuG2KB1E3ZPUiwR4q4SRUwxREDngFZk3juNpJlGhgyap5gd8vHpjUxNtLQ0nfVGXp9vQ3OTWrmUrf0QdUgW+wxa9QEKBSZlS5lZkZ+toH2VY15Q90e1xLNRXdFC3oiUFHXSZ6DT4TdUcdj67VQCen5Fgm+9FeNVYlswtaKuYi9PNasql+fXF7L/f5szyKQic5zNpg4C15VfEgxAKhgZFeQnE4FE+1x2MF++pVANd+RGwoGR+CyOp0yCnaer6zuNJFl554HRc54LTnIHIQ6RIMF9jNtmC8aBr4RQcqnkD7GnCqhYXUrgV1a2Jydh42wmpaqkATUNQC/JVVET5F66oiaV4QW18CPpGpBor+7yvltNQ+tVTe2VJADNL2DMOw2+ALKoVXlOJ5+0MD+3blppf47l+YlRTRwyS8mG4peegC/PQJprH51rI801kWYkvJlFwsaZbyWdaynd0UCs5Nl38CrYPoXWmYKuSV1kqV3DDBXX1YxWJnjiM/wyKKtYjLlOQUXKKMlFqwkzx1co3+4fPhybu9XK8ZVsK2tRhilpscM3WDHl/8n1/cz5oyTfBFcbeOMNOZ7AAOkxwzxf4AyMlm0paezM3vlGKc4lVnfJPhY/ZGwv+TGp4JfU5GWX12xp8pVSodNmVl0nbsfewpBh8C5MHnuz94aU6D66zkNxKHlJ+0iESzjTvnfXWBZpyvVdZtGpWM1MsLU10NKiR6ugMwhKj5P4Q+pSl69Evq7hf3xuwSOssc/w+7B7dv7E6lVtmIx3m+diqm5twSJl7yrVEmhS8GsTXtJTBRM1scpuvR7z+UY+sMomAKtgxfeVza1sYO8XBYaVa+W/br4IZlj5xbqJ9XgHq+Xa1rcBq76DDm6U32PFdxubHFilujUX2Jzp3HrBGahkoPZNg/ZSwGjQktNZ+Wv1SWBf4oyFHlpUkrty6PkDKyVx6m61CAOpUpsZahW0PMER0FAXCM9gEfnuS5o8Eg8nZ5sVq4E3E5BxQBTQqYop+RRyNZv+9NGS9UsJeSlbzyFxl9fk2tv55CMAKBDCQKl6MFKgHK/1+5Rf62IUBc7qyHV8vOZw7IUhmvVFIcHoK2LcCmsIAJOyTJ3ops5QyR65bOxMMUvL7WzKE41xf4L0wLl+CFylyMMruBW7SL46zkrWuHPF4CuY8mvgwpTytHwcB/EN8Ua5ue8AZPh/IK8Mi268cIkuZ6VUXmM3uHYHIqUp91XMfFgE02CCVme6XO/a9e2402vTR+jg0gtc+6bfAIf5CqQ+tUd+Ahx1TGgmvCipoUJDCTlfXhoV4UM5wOHULIDkUJsE/Zt6/ZxjsNdIBPRnonuJu+yKYbCYUmxAu7KnUcAlbWn0ELkW+LLAlL0keaA5iHwqPKE7VgNVFB24mFCuQAKLMgNTth9p2KbBoX0u33C2Tj+78c+UWVs3ZmsmbMNwnWGJV4Z4Y+R23yql0Ka+KUX62ZBYv6Hj2Sd8Xn4dxuI6rUHcJZ+6xz8z6e6AKRrhtZOUZr4/C6OJlOtfGhlzuWlqBH2wMpakkCHNlwmBMfWRbq8WRFfFjfAFA8uzuYak0yoXGhkFjuIClcwCXbzwSLYfQ5KSJpWBJYo2FLVcJVuK7+1+K3yHO6m1pJfBXCD0+hKgXMUJwKw4ZAX0T7cfWX85XqMNSB4KTUKF16Ql0gBxCfZ3xOZLCXo5oXSNoVVYG1DYrCh22zrg4rRu6hLwARj8Wos3rmHiyFASkmfjM5SGXaupAdS0tnS9jFvXv6oqLpCnKyawFEOgFSb3LQwn/dsV/2qBkU5Ur/dnA6deB/lgbxYErh/tXew3udZhyfEV2x/gvxIB6Hi+N3ZGbPqI/J2IAF2vEcjrT+9vnEgXAzBtQPjSiJz83Drs7lcqdufT/sVx2zr/dLr30W7/dN7unh1+6trdZqddYsoCN14DUcB6ExOJNyX2NkkydA15+livO8G19ab5BoQh9aRWSvItLoI3XDz6vzG4tNU=')).decode("utf-8")
_mod = load_inline(
name="mxfp4_gemm_submission",
cpp_sources=[""],
cuda_sources=[CUDA_SRC],
verbose=False,
- extra_cflags=["-O3", "-std=c++17"],
+ extra_cflags=["-Ofast", "-ffast-math", "-march=native", "-funroll-loops", "-fomit-frame-pointer"],
extra_cuda_cflags=[
- "-std=c++17", "-O3", "-ffast-math", "-ffp-contract=fast",
- "-funroll-loops", "-DSUBMISSION_BUILD", "-DGEMM6_SWIZZLE=0",
+ "-std=c++20", "-Ofast", "-ffast-math", "-ffp-contract=fast", "-DGEMM6_SWIZZLE=0",
"-U__HIP_NO_HALF_OPERATORS__", "-U__HIP_NO_HALF_CONVERSIONS__",
],
)

Best evidence level for this revision: reported

JSON