submission 650166
rujutafujuta · python · License unknown
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Vendorable · source mirrored · license unknownView source →
No package. Vendor the mirrored source: 53 lines, June 9 Researcher Reciprocity License v1.0.
moe-mxfp4.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-amd-moe-mxfp4-650166?include=source"interfacepython
Compatibility
measured onAMD Instinct MI355X
declared hardwareAMD Instinct MI355X
architecturesgfx950
dtypesbf16, fp32, fp8_e8m0, int32, mxfp4
Benchmark evidence
1 measurement across 1 GPU, fastest first.
Operation / workload
Hardware
Latency
Rank
Observed
Reported · How evidence levels are derived →
Source and license
sourceavailable
revision digestsha256:87c49125bf23ea26c511fb025e1b2c3d15b63a513c14d866277c47edc3382ff5
license declaredunknown
license concludedunknown
authorsrujutafujuta
imported2026-08-26
Techniques
Extracted from the mirrored source by pattern, never inferred. Each row cites its line.
fp4
MXFP4 MoE submission — MVP (reference parity, establishes leaderboard timestamp).Kernel source
moe-mxfp4.py53 lines
#!POPCORN leaderboard amd-moe-mxfp4
"""
MXFP4 MoE submission — MVP (reference parity, establishes leaderboard timestamp).
Current: mirrors the aiter.fused_moe reference.
Next iteration: replace with Triton fused MoE kernel optimized for decode regime
(small M, sparse expert dispatch).
"""
from task import input_t, output_t
import aiter
from aiter import ActivationType, QuantType
from aiter.fused_moe import fused_moe as _fused_moe
def custom_kernel(data: input_t) -> output_t:
(
hidden_states,
gate_up_weight,
down_weight,
gate_up_weight_scale,
down_weight_scale,
gate_up_weight_shuffled,
down_weight_shuffled,
gate_up_weight_scale_shuffled,
down_weight_scale_shuffled,
topk_weights,
topk_ids,
config,
) = data
hidden_pad = config["d_hidden_pad"] - config["d_hidden"]
intermediate_pad = config["d_expert_pad"] - config["d_expert"]
return _fused_moe(
hidden_states,
gate_up_weight_shuffled,
down_weight_shuffled,
topk_weights,
topk_ids,
expert_mask=None,
activation=ActivationType.Silu,
quant_type=QuantType.per_1x32,
doweight_stage1=False,
w1_scale=gate_up_weight_scale_shuffled,
w2_scale=down_weight_scale_shuffled,
a1_scale=None,
a2_scale=None,
hidden_pad=hidden_pad,
intermediate_pad=intermediate_pad,
)
scrolls · 53 lines total
Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0
Best evidence level for this revision: reported
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