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Fix fallback to default tactic (flashinfer autotuner) with trtllm_fp4_block_scale_moe #19189

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Merged
Fridge003 merged 3 commits into from
Mar 6, 2026
Merged

Fix fallback to default tactic (flashinfer autotuner) with trtllm_fp4_block_scale_moe #19189

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688e83e
Fix fallback to default tactic (flashinfer autotuner) with trtllm_fp4…
wenscarl Feb 23, 2026
62234ac
fix pre-commit
wenscarl Feb 23, 2026
4411bf6
Merge branch 'main' into fix_trtllm_moe_autotune
Fridge003 Mar 6, 2026
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5 changes: 3 additions & 2 deletions python/sglang/srt/layers/moe/fused_moe_triton/layer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1226,12 +1226,13 @@ def forward_impl(self, hidden_states: torch.Tensor, topk_output: TopKOutput):
symm_output = torch.empty(
num_tokens, hidden_size, dtype=torch.bfloat16, device=hs_fp4.device
)

result = trtllm_fp4_block_scale_moe(
routing_logits=router_logits,
routing_bias=correction_bias,
hidden_states=hs_fp4,
hidden_states_scale=hs_scale_linear.view(torch.float8_e4m3fn),
hidden_states_scale=hs_scale_linear.view(torch.float8_e4m3fn).reshape(
*hs_scale_linear.shape[:-1], -1
),
gemm1_weights=self.gemm1_weights_fp4_shuffled.data,
gemm1_weights_scale=self.gemm1_scales_fp4_shuffled.data.view(
torch.float8_e4m3fn
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4 changes: 3 additions & 1 deletion python/sglang/srt/layers/moe/moe_runner/flashinfer_trtllm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -442,7 +442,9 @@ def fused_experts_none_to_flashinfer_trtllm_fp4(
routing_logits=router_logits,
routing_bias=correction_bias,
hidden_states=hs_fp4,
hidden_states_scale=hs_scale_linear.view(torch.float8_e4m3fn).flatten(),
hidden_states_scale=hs_scale_linear.view(torch.float8_e4m3fn).reshape(
*hs_scale_linear.shape[:-1], -1
),
gemm1_weights=quant_info.gemm1_weights_fp4_shuffled,
gemm1_weights_scale=quant_info.gemm1_scales_fp4_shuffled.view(
torch.float8_e4m3fn
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4 changes: 3 additions & 1 deletion ...g/srt/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a4_nvfp4_moe.py
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Expand Up @@ -331,7 +331,9 @@ def apply_weights(
False, # is_sf_swizzled_layout
)
hs_fp4 = hs_fp4_bytes.reshape(x.shape[0], x.shape[1] // 2)
hs_scale = hs_sf_bytes.view(torch.float8_e4m3fn).reshape(-1)
hs_scale = hs_sf_bytes.view(torch.float8_e4m3fn).reshape(
*hs_sf_bytes.shape[:-1], -1
)

correction_bias = (
None
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