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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 10, 21:30 UTC

Add Fused MoE Triton kernels for GLM-4.5-Air, GLM-4.5v, GLM-4.6v on 2x RTX Pro 6000 (#31407)

Signed-off-by: Mamy Ratsimbazafy <mamy_github@numforge.co>

Mamy Ratsimbazafy committed Dec 28, 2025 at 17:38 UTC b9793e6a8c30bc42f35d2a1eac919284aea27f76
2 files changed +292
vllm/model_executor/layers/fused_moe/configs/E=128,N=704,device_name=NVIDIA_RTX_PRO_6000_Blackwell_Workstation_Edition,dtype=fp8_w8a8.json new
+146
@@ -0,0 +1,146 @@
1 +{
2 + "1": {
3 + "BLOCK_SIZE_M": 16,
4 + "BLOCK_SIZE_N": 64,
5 + "BLOCK_SIZE_K": 64,
6 + "GROUP_SIZE_M": 1,
7 + "num_warps": 4,
8 + "num_stages": 4
9 + },
10 + "2": {
11 + "BLOCK_SIZE_M": 16,
12 + "BLOCK_SIZE_N": 64,
13 + "BLOCK_SIZE_K": 128,
14 + "GROUP_SIZE_M": 1,
15 + "num_warps": 8,
16 + "num_stages": 4
17 + },
18 + "4": {
19 + "BLOCK_SIZE_M": 32,
20 + "BLOCK_SIZE_N": 32,
21 + "BLOCK_SIZE_K": 128,
22 + "GROUP_SIZE_M": 64,
23 + "num_warps": 4,
24 + "num_stages": 4
25 + },
26 + "8": {
27 + "BLOCK_SIZE_M": 16,
28 + "BLOCK_SIZE_N": 64,
29 + "BLOCK_SIZE_K": 128,
30 + "GROUP_SIZE_M": 64,
31 + "num_warps": 8,
32 + "num_stages": 3
33 + },
34 + "16": {
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36 + "BLOCK_SIZE_N": 32,
37 + "BLOCK_SIZE_K": 256,
38 + "GROUP_SIZE_M": 1,
39 + "num_warps": 8,
40 + "num_stages": 3
41 + },
42 + "24": {
43 + "BLOCK_SIZE_M": 16,
44 + "BLOCK_SIZE_N": 64,
45 + "BLOCK_SIZE_K": 256,
46 + "GROUP_SIZE_M": 64,
47 + "num_warps": 4,
48 + "num_stages": 4
49 + },
50 + "32": {
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52 + "BLOCK_SIZE_N": 32,
53 + "BLOCK_SIZE_K": 128,
54 + "GROUP_SIZE_M": 16,
55 + "num_warps": 4,
56 + "num_stages": 3
57 + },
58 + "48": {
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60 + "BLOCK_SIZE_N": 32,
61 + "BLOCK_SIZE_K": 256,
62 + "GROUP_SIZE_M": 32,
63 + "num_warps": 4,
64 + "num_stages": 5
65 + },
66 + "64": {
67 + "BLOCK_SIZE_M": 16,
68 + "BLOCK_SIZE_N": 64,
69 + "BLOCK_SIZE_K": 256,
70 + "GROUP_SIZE_M": 32,
71 + "num_warps": 8,
72 + "num_stages": 3
73 + },
74 + "96": {
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77 + "BLOCK_SIZE_K": 256,
78 + "GROUP_SIZE_M": 1,
79 + "num_warps": 8,
80 + "num_stages": 2
81 + },
82 + "128": {
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84 + "BLOCK_SIZE_N": 32,
85 + "BLOCK_SIZE_K": 128,
86 + "GROUP_SIZE_M": 64,
87 + "num_warps": 4,
88 + "num_stages": 4
89 + },
90 + "256": {
91 + "BLOCK_SIZE_M": 16,
92 + "BLOCK_SIZE_N": 64,
93 + "BLOCK_SIZE_K": 128,
94 + "GROUP_SIZE_M": 1,
95 + "num_warps": 4,
96 + "num_stages": 3
97 + },
98 + "512": {
99 + "BLOCK_SIZE_M": 32,
100 + "BLOCK_SIZE_N": 256,
101 + "BLOCK_SIZE_K": 128,
102 + "GROUP_SIZE_M": 1,
103 + "num_warps": 4,
104 + "num_stages": 2
105 + },
106 + "1024": {
107 + "BLOCK_SIZE_M": 64,
108 + "BLOCK_SIZE_N": 256,
109 + "BLOCK_SIZE_K": 128,
110 + "GROUP_SIZE_M": 64,
111 + "num_warps": 4,
112 + "num_stages": 2
113 + },
114 + "1536": {
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117 + "BLOCK_SIZE_K": 128,
118 + "GROUP_SIZE_M": 1,
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120 + "num_stages": 2
121 + },
122 + "2048": {
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124 + "BLOCK_SIZE_N": 128,
125 + "BLOCK_SIZE_K": 128,
126 + "GROUP_SIZE_M": 64,
127 + "num_warps": 4,
128 + "num_stages": 3
129 + },
130 + "3072": {
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132 + "BLOCK_SIZE_N": 128,
133 + "BLOCK_SIZE_K": 128,
134 + "GROUP_SIZE_M": 1,
135 + "num_warps": 8,
136 + "num_stages": 2
137 + },
138 + "4096": {
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140 + "BLOCK_SIZE_N": 128,
141 + "BLOCK_SIZE_K": 64,
142 + "GROUP_SIZE_M": 1,
143 + "num_warps": 4,
144 + "num_stages": 4
145 + }
146 +}
vllm/model_executor/layers/fused_moe/configs/E=129,N=704,device_name=NVIDIA_RTX_PRO_6000_Blackwell_Workstation_Edition,dtype=fp8_w8a8.json new
+146
@@ -0,0 +1,146 @@
1 +{
2 + "1": {
3 + "BLOCK_SIZE_M": 16,
4 + "BLOCK_SIZE_N": 64,
5 + "BLOCK_SIZE_K": 64,
6 + "GROUP_SIZE_M": 1,
7 + "num_warps": 4,
8 + "num_stages": 4
9 + },
10 + "2": {
11 + "BLOCK_SIZE_M": 16,
12 + "BLOCK_SIZE_N": 64,
13 + "BLOCK_SIZE_K": 128,
14 + "GROUP_SIZE_M": 1,
15 + "num_warps": 8,
16 + "num_stages": 4
17 + },
18 + "4": {
19 + "BLOCK_SIZE_M": 32,
20 + "BLOCK_SIZE_N": 32,
21 + "BLOCK_SIZE_K": 128,
22 + "GROUP_SIZE_M": 64,
23 + "num_warps": 4,
24 + "num_stages": 4
25 + },
26 + "8": {
27 + "BLOCK_SIZE_M": 16,
28 + "BLOCK_SIZE_N": 64,
29 + "BLOCK_SIZE_K": 128,
30 + "GROUP_SIZE_M": 64,
31 + "num_warps": 8,
32 + "num_stages": 3
33 + },
34 + "16": {
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36 + "BLOCK_SIZE_N": 32,
37 + "BLOCK_SIZE_K": 256,
38 + "GROUP_SIZE_M": 1,
39 + "num_warps": 8,
40 + "num_stages": 3
41 + },
42 + "24": {
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44 + "BLOCK_SIZE_N": 64,
45 + "BLOCK_SIZE_K": 256,
46 + "GROUP_SIZE_M": 64,
47 + "num_warps": 4,
48 + "num_stages": 4
49 + },
50 + "32": {
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52 + "BLOCK_SIZE_N": 32,
53 + "BLOCK_SIZE_K": 128,
54 + "GROUP_SIZE_M": 16,
55 + "num_warps": 4,
56 + "num_stages": 3
57 + },
58 + "48": {
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60 + "BLOCK_SIZE_N": 32,
61 + "BLOCK_SIZE_K": 256,
62 + "GROUP_SIZE_M": 32,
63 + "num_warps": 4,
64 + "num_stages": 5
65 + },
66 + "64": {
67 + "BLOCK_SIZE_M": 16,
68 + "BLOCK_SIZE_N": 64,
69 + "BLOCK_SIZE_K": 256,
70 + "GROUP_SIZE_M": 32,
71 + "num_warps": 8,
72 + "num_stages": 3
73 + },
74 + "96": {
75 + "BLOCK_SIZE_M": 16,
76 + "BLOCK_SIZE_N": 64,
77 + "BLOCK_SIZE_K": 256,
78 + "GROUP_SIZE_M": 1,
79 + "num_warps": 8,
80 + "num_stages": 2
81 + },
82 + "128": {
83 + "BLOCK_SIZE_M": 16,
84 + "BLOCK_SIZE_N": 32,
85 + "BLOCK_SIZE_K": 128,
86 + "GROUP_SIZE_M": 64,
87 + "num_warps": 4,
88 + "num_stages": 4
89 + },
90 + "256": {
91 + "BLOCK_SIZE_M": 16,
92 + "BLOCK_SIZE_N": 64,
93 + "BLOCK_SIZE_K": 128,
94 + "GROUP_SIZE_M": 1,
95 + "num_warps": 4,
96 + "num_stages": 3
97 + },
98 + "512": {
99 + "BLOCK_SIZE_M": 32,
100 + "BLOCK_SIZE_N": 256,
101 + "BLOCK_SIZE_K": 128,
102 + "GROUP_SIZE_M": 1,
103 + "num_warps": 4,
104 + "num_stages": 2
105 + },
106 + "1024": {
107 + "BLOCK_SIZE_M": 64,
108 + "BLOCK_SIZE_N": 256,
109 + "BLOCK_SIZE_K": 128,
110 + "GROUP_SIZE_M": 64,
111 + "num_warps": 4,
112 + "num_stages": 2
113 + },
114 + "1536": {
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116 + "BLOCK_SIZE_N": 128,
117 + "BLOCK_SIZE_K": 128,
118 + "GROUP_SIZE_M": 1,
119 + "num_warps": 4,
120 + "num_stages": 2
121 + },
122 + "2048": {
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124 + "BLOCK_SIZE_N": 128,
125 + "BLOCK_SIZE_K": 128,
126 + "GROUP_SIZE_M": 64,
127 + "num_warps": 4,
128 + "num_stages": 3
129 + },
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133 + "BLOCK_SIZE_K": 128,
134 + "GROUP_SIZE_M": 1,
135 + "num_warps": 8,
136 + "num_stages": 2
137 + },
138 + "4096": {
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140 + "BLOCK_SIZE_N": 128,
141 + "BLOCK_SIZE_K": 64,
142 + "GROUP_SIZE_M": 1,
143 + "num_warps": 4,
144 + "num_stages": 4
145 + }
146 +}