@tduncan / Nvidia-Optimization-Stack-VLLM Mirror · read-only / commits / 1ec978c209
Fork 0

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 13, 03:15 UTC

[Kernel][Moe Configs] llama4 maverick fp8 moe config tp8 on mi325 (#28709)

Signed-off-by: Zhewen Li <zhewenli@meta.com>

Zhewen Li committed Nov 15, 2025 at 01:10 UTC 1ec978c209391286d4cee968426900e9a4d256a5
1 file changed +164
vllm/model_executor/layers/fused_moe/configs/E=128,N=1024,device_name=AMD_Instinct_MI325X,dtype=fp8_w8a8.json new
+164
@@ -0,0 +1,164 @@
1 +{
2 + "1": {
3 + "BLOCK_SIZE_M": 16,
4 + "BLOCK_SIZE_N": 16,
5 + "BLOCK_SIZE_K": 256,
6 + "GROUP_SIZE_M": 1,
7 + "num_warps": 2,
8 + "num_stages": 2,
9 + "waves_per_eu": 0
10 + },
11 + "2": {
12 + "BLOCK_SIZE_M": 16,
13 + "BLOCK_SIZE_N": 16,
14 + "BLOCK_SIZE_K": 256,
15 + "GROUP_SIZE_M": 1,
16 + "num_warps": 8,
17 + "num_stages": 2,
18 + "waves_per_eu": 0
19 + },
20 + "4": {
21 + "BLOCK_SIZE_M": 16,
22 + "BLOCK_SIZE_N": 64,
23 + "BLOCK_SIZE_K": 256,
24 + "GROUP_SIZE_M": 1,
25 + "num_warps": 4,
26 + "num_stages": 2,
27 + "waves_per_eu": 0
28 + },
29 + "8": {
30 + "BLOCK_SIZE_M": 16,
31 + "BLOCK_SIZE_N": 16,
32 + "BLOCK_SIZE_K": 256,
33 + "GROUP_SIZE_M": 1,
34 + "num_warps": 2,
35 + "num_stages": 2,
36 + "waves_per_eu": 0
37 + },
38 + "16": {
39 + "BLOCK_SIZE_M": 16,
40 + "BLOCK_SIZE_N": 64,
41 + "BLOCK_SIZE_K": 128,
42 + "GROUP_SIZE_M": 1,
43 + "num_warps": 4,
44 + "num_stages": 2,
45 + "waves_per_eu": 0
46 + },
47 + "24": {
48 + "BLOCK_SIZE_M": 16,
49 + "BLOCK_SIZE_N": 64,
50 + "BLOCK_SIZE_K": 256,
51 + "GROUP_SIZE_M": 1,
52 + "num_warps": 2,
53 + "num_stages": 2,
54 + "waves_per_eu": 0
55 + },
56 + "32": {
57 + "BLOCK_SIZE_M": 16,
58 + "BLOCK_SIZE_N": 64,
59 + "BLOCK_SIZE_K": 256,
60 + "GROUP_SIZE_M": 1,
61 + "num_warps": 4,
62 + "num_stages": 2,
63 + "waves_per_eu": 0
64 + },
65 + "48": {
66 + "BLOCK_SIZE_M": 16,
67 + "BLOCK_SIZE_N": 64,
68 + "BLOCK_SIZE_K": 256,
69 + "GROUP_SIZE_M": 1,
70 + "num_warps": 2,
71 + "num_stages": 2,
72 + "waves_per_eu": 0
73 + },
74 + "64": {
75 + "BLOCK_SIZE_M": 16,
76 + "BLOCK_SIZE_N": 128,
77 + "BLOCK_SIZE_K": 256,
78 + "GROUP_SIZE_M": 1,
79 + "num_warps": 4,
80 + "num_stages": 2,
81 + "waves_per_eu": 0
82 + },
83 + "96": {
84 + "BLOCK_SIZE_M": 16,
85 + "BLOCK_SIZE_N": 64,
86 + "BLOCK_SIZE_K": 256,
87 + "GROUP_SIZE_M": 1,
88 + "num_warps": 4,
89 + "num_stages": 2,
90 + "waves_per_eu": 0
91 + },
92 + "128": {
93 + "BLOCK_SIZE_M": 16,
94 + "BLOCK_SIZE_N": 64,
95 + "BLOCK_SIZE_K": 256,
96 + "GROUP_SIZE_M": 4,
97 + "num_warps": 4,
98 + "num_stages": 2,
99 + "waves_per_eu": 0
100 + },
101 + "256": {
102 + "BLOCK_SIZE_M": 16,
103 + "BLOCK_SIZE_N": 64,
104 + "BLOCK_SIZE_K": 256,
105 + "GROUP_SIZE_M": 16,
106 + "num_warps": 4,
107 + "num_stages": 2,
108 + "waves_per_eu": 0
109 + },
110 + "512": {
111 + "BLOCK_SIZE_M": 16,
112 + "BLOCK_SIZE_N": 64,
113 + "BLOCK_SIZE_K": 256,
114 + "GROUP_SIZE_M": 4,
115 + "num_warps": 4,
116 + "num_stages": 2,
117 + "waves_per_eu": 0
118 + },
119 + "1024": {
120 + "BLOCK_SIZE_M": 16,
121 + "BLOCK_SIZE_N": 128,
122 + "BLOCK_SIZE_K": 256,
123 + "GROUP_SIZE_M": 4,
124 + "num_warps": 8,
125 + "num_stages": 2,
126 + "waves_per_eu": 0
127 + },
128 + "1536": {
129 + "BLOCK_SIZE_M": 16,
130 + "BLOCK_SIZE_N": 64,
131 + "BLOCK_SIZE_K": 256,
132 + "GROUP_SIZE_M": 1,
133 + "num_warps": 2,
134 + "num_stages": 2,
135 + "waves_per_eu": 0
136 + },
137 + "2048": {
138 + "BLOCK_SIZE_M": 64,
139 + "BLOCK_SIZE_N": 128,
140 + "BLOCK_SIZE_K": 256,
141 + "GROUP_SIZE_M": 4,
142 + "num_warps": 8,
143 + "num_stages": 2,
144 + "waves_per_eu": 0
145 + },
146 + "3072": {
147 + "BLOCK_SIZE_M": 64,
148 + "BLOCK_SIZE_N": 128,
149 + "BLOCK_SIZE_K": 128,
150 + "GROUP_SIZE_M": 16,
151 + "num_warps": 8,
152 + "num_stages": 2,
153 + "waves_per_eu": 0
154 + },
155 + "4096": {
156 + "BLOCK_SIZE_M": 64,
157 + "BLOCK_SIZE_N": 256,
158 + "BLOCK_SIZE_K": 128,
159 + "GROUP_SIZE_M": 1,
160 + "num_warps": 8,
161 + "num_stages": 2,
162 + "waves_per_eu": 0
163 + }
164 +}