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Unverified Commit 7863e436 authored by Yineng Zhang's avatar Yineng Zhang Committed by GitHub
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add configs for block fp8 related kernels (#2628) 


Co-authored-by: default avatarHandH1998 <1335248067@qq.com>
parent 333e3bfd
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Showing with 2405 additions and 16 deletions
python/sglang/srt/layers/quantization/configs/N=4608,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
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python/sglang/srt/layers/quantization/configs/N=4608,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
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}
python/sglang/srt/layers/quantization/configs/N=576,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
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}
python/sglang/srt/layers/quantization/configs/N=576,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
"num_warps": 4,
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python/sglang/srt/layers/quantization/configs/N=7168,K=1024,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
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python/sglang/srt/layers/quantization/configs/N=7168,K=1024,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=1152,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
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"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=1152,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=16384,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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"2": {
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"4": {
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"8": {
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"16": {
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"24": {
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},
"32": {
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"48": {
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}
}
python/sglang/srt/layers/quantization/configs/N=7168,K=16384,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2
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"4": {
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"8": {
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"16": {
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"48": {
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"64": {
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}
}
python/sglang/srt/layers/quantization/configs/N=7168,K=18432,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
"num_warps": 4,
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"48": {
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=18432,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
"num_warps": 4,
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},
"1536": {
"BLOCK_SIZE_M": 64,
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"BLOCK_SIZE_K": 128,
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},
"2048": {
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},
"3072": {
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"4096": {
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}
python/sglang/srt/layers/quantization/configs/N=7168,K=2048,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
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"BLOCK_SIZE_N": 32,
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"GROUP_SIZE_M": 1,
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"2": {
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},
"4": {
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"8": {
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"16": {
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"24": {
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"32": {
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"48": {
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"64": {
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"96": {
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},
"128": {
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"256": {
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},
"512": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 128,
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},
"1024": {
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},
"1536": {
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},
"2048": {
"BLOCK_SIZE_M": 64,
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"BLOCK_SIZE_K": 128,
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},
"3072": {
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"BLOCK_SIZE_N": 128,
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"GROUP_SIZE_M": 1,
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},
"4096": {
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"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
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}
}
python/sglang/srt/layers/quantization/configs/N=7168,K=2048,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json 0 → 100644
View file @ 7863e436
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
"num_warps": 4,
"num_stages": 2
},
"2": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
"num_warps": 4,
"num_stages": 2
},
"4": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 64,
"num_warps": 4,
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},
"8": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
"num_warps": 4,
"num_stages": 2
},
"16": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 2
},
"24": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
"num_warps": 4,
"num_stages": 2
},
"32": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 32,
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"num_stages": 2
},
"48": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 2
},
"64": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 16,
"num_warps": 4,
"num_stages": 2
},
"96": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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},
"128": {
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"BLOCK_SIZE_N": 32,
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"GROUP_SIZE_M": 1,
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},
"256": {
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"GROUP_SIZE_M": 1,
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},
"512": {
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},
"1024": {
"BLOCK_SIZE_M": 64,
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"GROUP_SIZE_M": 1,
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"num_stages": 2
},
"1536": {
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"BLOCK_SIZE_N": 64,
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},
"2048": {
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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"num_stages": 2
},
"3072": {
"BLOCK_SIZE_M": 64,
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"GROUP_SIZE_M": 1,
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},
"4096": {
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"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
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}
}
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