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Unverified Commit 7cd2ee06 authored by Martin Vit's avatar Martin Vit Committed by GitHub
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feat: Add Triton fallback option and SM120 MoE configs for FP8 models (#9251)

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python/sglang/srt/layers/moe/fused_moe_triton/configs/triton_3_4_0/E=129,N=352,device_name=NVIDIA_RTX_PRO_6000_Blackwell_Max-Q_Workstation_Edition,dtype=fp8_w8a8.json 0 → 100644
View file @ 7cd2ee06
{
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}
python/sglang/srt/layers/moe/fused_moe_triton/configs/triton_3_4_0/E=161,N=384,device_name=NVIDIA_RTX_PRO_6000_Blackwell_Max-Q_Workstation_Edition,dtype=fp8_w8a8.json 0 → 100644
View file @ 7cd2ee06
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2
},
"2": {
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}
}
python/sglang/srt/layers/quantization/fp8_utils.py
View file @ 7cd2ee06
...@@ -53,6 +53,7 @@ if _is_cuda: ...@@ -53,6 +53,7 @@ if _is_cuda:
from sgl_kernel import fp8_blockwise_scaled_mm, fp8_scaled_mm from sgl_kernel import fp8_blockwise_scaled_mm, fp8_scaled_mm
use_vllm_cutlass_w8a8_fp8_kernel = get_bool_env_var("USE_VLLM_CUTLASS_W8A8_FP8_KERNEL") use_vllm_cutlass_w8a8_fp8_kernel = get_bool_env_var("USE_VLLM_CUTLASS_W8A8_FP8_KERNEL")
use_triton_w8a8_fp8_kernel = get_bool_env_var("USE_TRITON_W8A8_FP8_KERNEL")
# Input scaling factors are no longer optional in _scaled_mm starting # Input scaling factors are no longer optional in _scaled_mm starting
# from pytorch 2.5. Allocating a dummy tensor to pass as input_scale # from pytorch 2.5. Allocating a dummy tensor to pass as input_scale
...@@ -592,7 +593,7 @@ def apply_fp8_linear( ...@@ -592,7 +593,7 @@ def apply_fp8_linear(
cutlass_compatible_b = ( cutlass_compatible_b = (
weight.shape[0] % 16 == 0 and weight.shape[1] % 16 == 0 weight.shape[0] % 16 == 0 and weight.shape[1] % 16 == 0
) )
if not cutlass_compatible_b: if not cutlass_compatible_b or use_triton_w8a8_fp8_kernel:
# Massage the input to be 2D # Massage the input to be 2D
qinput = qinput.view(-1, qinput.shape[-1]) qinput = qinput.view(-1, qinput.shape[-1])
output = triton_scaled_mm( output = triton_scaled_mm(
...@@ -735,14 +736,25 @@ def apply_fp8_linear( ...@@ -735,14 +736,25 @@ def apply_fp8_linear(
assert ( assert (
weight_scale.numel() == weight.shape[1] weight_scale.numel() == weight.shape[1]
), "cutlass w8a8 fp8 sgl-kernel only supports per-channel scale" ), "cutlass w8a8 fp8 sgl-kernel only supports per-channel scale"
output = fp8_scaled_mm(
qinput, cutlass_compatible_b = (
weight, weight.shape[0] % 16 == 0 and weight.shape[1] % 16 == 0
x_scale,
weight_scale,
out_dtype=input.dtype,
bias=bias,
) )
if not cutlass_compatible_b or use_triton_w8a8_fp8_kernel:
# Massage the input to be 2D
qinput = qinput.view(-1, qinput.shape[-1])
output = triton_scaled_mm(
qinput, weight, x_scale, weight_scale, input.dtype, bias
)
else:
output = fp8_scaled_mm(
qinput,
weight,
x_scale,
weight_scale,
out_dtype=input.dtype,
bias=bias,
)
return output.view(*output_shape) return output.view(*output_shape)
except (ImportError, NameError, AttributeError): except (ImportError, NameError, AttributeError):
pass pass
......
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