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9 changes: 3 additions & 6 deletions tensorrt_llm/_torch/auto_deploy/custom_ops/quant.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,6 @@
from flashinfer import bmm_fp8
from torch import nn

from tensorrt_llm._torch.autotuner import autotune

from ..distributed import common as dist
from ..distributed import trtllm as trtllm_dist
from .torch_libs.float8_python_api import addmm_float8_unwrapped
Expand Down Expand Up @@ -336,10 +334,9 @@ def nvfp4_linear(
x_fp4, x_sf_block = torch.ops.trtllm.fp4_quantize(
input, input_scale, TRTLLM_NVFP4_SCALING_VECTOR_SIZE, False
)
with autotune():
output = torch.ops.trtllm.nvfp4_gemm(
x_fp4, weight_fp4, x_sf_block, weight_scale, alpha, input.dtype
)
output = torch.ops.trtllm.nvfp4_gemm(
x_fp4, weight_fp4, x_sf_block, weight_scale, alpha, input.dtype
)

if bias is not None:
output = output + bias
Expand Down
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