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[Performance] Move apply_w8a8_block_fp8_linear to an op class (#24666)

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Signed-off-by: ElizaWszola <ewszola@redhat.com>
Signed-off-by: ElizaWszola <elizaw.9289@gmail.com>
Signed-off-by: Luka Govedič <lgovedic@redhat.com>
Signed-off-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: Luka Govedič <lgovedic@redhat.com>
This commit is contained in:
ElizaWszola
2025-09-23 21:03:10 +02:00
committed by GitHub
parent 8c1c81a3de
commit 63400259d0
14 changed files with 341 additions and 201 deletions
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5
tests/kernels/quantization/test_block_fp8.py
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@@ -12,7 +12,7 @@ from tests.kernels.quant_utils import (native_per_token_group_quant_fp8,
from vllm.config import VllmConfig
from vllm.model_executor.layers.quantization.utils.fp8_utils import (
cutlass_scaled_mm, get_col_major_tma_aligned_tensor,
per_token_group_quant_fp8, w8a8_block_fp8_matmul)
per_token_group_quant_fp8, w8a8_triton_block_scaled_mm)
from vllm.platforms import current_platform
from vllm.utils import has_deep_gemm
from vllm.utils.deep_gemm import fp8_gemm_nt, per_block_cast_to_fp8
@@ -90,7 +90,8 @@ def test_w8a8_block_fp8_matmul(M, N, K, block_size, out_dtype, seed):
ref_out = native_w8a8_block_matmul(A_fp8, B_fp8, As, Bs, block_size,
out_dtype)
out = w8a8_block_fp8_matmul(A_fp8, B_fp8, As, Bs, block_size, out_dtype)
out = w8a8_triton_block_scaled_mm(A_fp8, B_fp8, As, Bs, block_size,
out_dtype)
rel_diff = (torch.mean(
torch.abs(out.to(torch.float32) - ref_out.to(torch.float32))) /