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[ROCm][Misc] Follow-ups for Skinny Gemms on ROCm. (#17011)

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Signed-off-by: charlifu <charlifu@amd.com>
This commit is contained in:
Charlie Fu
2025-04-26 00:05:10 -05:00
committed by GitHub
parent 9e96f56efb
commit 54271bb766
4 changed files with 18 additions and 15 deletions
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7
vllm/model_executor/layers/quantization/utils/w8a8_utils.py
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@@ -155,8 +155,9 @@ def rocm_per_tensor_w8a8_scaled_mm(*, qinput: torch.Tensor,
scale_b: torch.Tensor, bias: torch.Tensor,
input_2d: torch.Tensor,
output_shape: List) -> torch.Tensor:
if envs.VLLM_ROCM_USE_SKINNY_GEMM and qinput.shape[
0] == 1 and qinput.shape[1] % 16 == 0:
from vllm.platforms.rocm import on_mi250_mi300
if envs.VLLM_ROCM_USE_SKINNY_GEMM and not on_mi250_mi300(
) and qinput.shape[0] == 1 and qinput.shape[1] % 16 == 0:
output = ops.wvSplitKQ(weight.t(), qinput, out_dtype, scale_a, scale_b,
current_platform.get_cu_count())
else:
@@ -371,7 +372,7 @@ class Fp8LinearOp:
return w8a8_scaled_mm_func(qinput=qinput,
weight=weight,
out_dtype=input.dtype,
out_dtype=out_dtype,
scale_a=x_scale,
scale_b=weight_scale,
bias=bias,