submission 643445
anairdrop · python · License unknown
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Vendorable · source mirrored · license unknownView source →
No package. Vendor the mirrored source: 58 lines, June 9 Researcher Reciprocity License v1.0.
submission_g3fast.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-amd-moe-mxfp4-643445?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:aa570ab6a4634b90e45b5fb78e1f826c6572ff497da7945df7108b8f72fd3ff4
license declaredunknown
license concludedunknown
authorsanairdrop
imported2026-08-26
Techniques
Extracted from the mirrored source by pattern, never inferred. Each row cites its line.
split-k
family_config.update({"block_size_M": 64, "splitk": 2})Kernel source
submission_g3fast.py58 lines
import torch
import sys
import os
from task import input_t, output_t
from aiter import ActivationType, QuantType
from aiter.fused_moe import fused_moe
# Build Principle: Explicit Intent, Log Once
_families_seen = set()
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
# 1. Shape Metadata
bs = config["bs"]
E = gate_up_weight_shuffled.shape[0]
d_expert = config["d_expert"]
est_m = (bs * config["total_top_k"]) / E
family_config = {"moe_sorting_dispatch_policy": False}
# 2. Specialized Tiered Dispatch
if d_expert >= 2048:
# TARGET: Blocker Family. Hypothesis: Tile-64 beats Tile-128.
family_name = "BLOCKER_TILE_64"
family_config.update({"block_size_M": 64, "splitk": 2})
elif est_m < 50:
# TARGET: Sparse family. Goal: Maintain 87us result.
family_name = "SPARSE_LATENCY"
family_config.update({"block_size_M": 32, "splitk": 2})
else:
# TARGET: Dense family. Standard occupancy.
family_name = "DENSE_THROUGHPUT"
family_config.update({"block_size_M": 64, "splitk": 2})
# Log intent once to avoid I/O jitter
if family_name not in _families_seen:
_families_seen.add(family_name)
print(f"[INTENT] {family_name} triggered for d_expert={d_expert}, est_m={est_m:.1f}", file=sys.stderr)
return fused_moe(
hidden_states, gate_up_weight_shuffled, down_weight_shuffled,
topk_weights, topk_ids,
activation=ActivationType.Silu,
quant_type=QuantType.per_1x32,
doweight_stage1=False,
w1_scale=gate_up_weight_scale_shuffled,
w2_scale=down_weight_scale_shuffled,
hidden_pad=config["d_hidden_pad"] - config["d_hidden"],
intermediate_pad=config["d_expert_pad"] - config["d_expert"],
**family_config,
)scrolls · 58 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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