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danieldk HF staff commited on
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Vendor `w8a8_block_fp8_matmul` and `per_token_group_quant_fp8`

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  1. tests/kernels/test_block_fp8.py +255 -0
  2. torch-ext/moe/__init__.py +9 -4
  3. torch-ext/moe/configs/N=1536,K=1536,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  4. torch-ext/moe/configs/N=1536,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  5. torch-ext/moe/configs/N=1536,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  6. torch-ext/moe/configs/N=2048,K=512,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  7. torch-ext/moe/configs/N=2048,K=512,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  8. torch-ext/moe/configs/N=2304,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  9. torch-ext/moe/configs/N=2304,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  10. torch-ext/moe/configs/N=24576,K=7168,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  11. torch-ext/moe/configs/N=24576,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  12. torch-ext/moe/configs/N=24576,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  13. torch-ext/moe/configs/N=256,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  14. torch-ext/moe/configs/N=3072,K=1536,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  15. torch-ext/moe/configs/N=3072,K=1536,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  16. torch-ext/moe/configs/N=3072,K=7168,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  17. torch-ext/moe/configs/N=3072,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  18. torch-ext/moe/configs/N=3072,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  19. torch-ext/moe/configs/N=32768,K=512,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  20. torch-ext/moe/configs/N=32768,K=512,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  21. torch-ext/moe/configs/N=32768,K=512,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  22. torch-ext/moe/configs/N=36864,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  23. torch-ext/moe/configs/N=36864,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  24. torch-ext/moe/configs/N=4096,K=512,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  25. torch-ext/moe/configs/N=4096,K=512,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  26. torch-ext/moe/configs/N=4096,K=512,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  27. torch-ext/moe/configs/N=4608,K=7168,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  28. torch-ext/moe/configs/N=4608,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  29. torch-ext/moe/configs/N=4608,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  30. torch-ext/moe/configs/N=512,K=7168,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  31. torch-ext/moe/configs/N=512,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  32. torch-ext/moe/configs/N=576,K=7168,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  33. torch-ext/moe/configs/N=576,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  34. torch-ext/moe/configs/N=576,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  35. torch-ext/moe/configs/N=7168,K=1024,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  36. torch-ext/moe/configs/N=7168,K=1024,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  37. torch-ext/moe/configs/N=7168,K=1152,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  38. torch-ext/moe/configs/N=7168,K=1152,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  39. torch-ext/moe/configs/N=7168,K=128,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  40. torch-ext/moe/configs/N=7168,K=16384,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  41. torch-ext/moe/configs/N=7168,K=16384,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  42. torch-ext/moe/configs/N=7168,K=16384,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  43. torch-ext/moe/configs/N=7168,K=18432,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  44. torch-ext/moe/configs/N=7168,K=18432,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  45. torch-ext/moe/configs/N=7168,K=18432,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  46. torch-ext/moe/configs/N=7168,K=2048,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  47. torch-ext/moe/configs/N=7168,K=2048,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  48. torch-ext/moe/configs/N=7168,K=2048,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  49. torch-ext/moe/configs/N=7168,K=2304,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
  50. torch-ext/moe/configs/N=7168,K=2304,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json +146 -0
tests/kernels/test_block_fp8.py ADDED
@@ -0,0 +1,255 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # SPDX-License-Identifier: Apache-2.0
2
+
3
+ # Adapted from https://github.com/sgl-project/sglang/pull/2575
4
+ import itertools
5
+
6
+ import pytest
7
+ import torch
8
+
9
+ from .utils import SiluAndMul
10
+ from moe import fused_moe
11
+ from moe.fp8_utils import per_token_group_quant_fp8, w8a8_block_fp8_matmul
12
+ from moe.platforms import current_platform
13
+
14
+ if current_platform.get_device_capability() < (9, 0):
15
+ pytest.skip("FP8 Triton requires CUDA 9.0 or higher", allow_module_level=True)
16
+
17
+ # Test configurations
18
+ DTYPES = [torch.bfloat16] # [torch.half, torch.bfloat16, torch.float32]
19
+ NUM_TOKENS = [7, 83, 2048]
20
+ D = [512, 4096, 5120, 13824]
21
+ GROUP_SIZE = [64, 128, 256, 512]
22
+ M = [1, 7, 83, 512, 2048]
23
+ N = [128, 512, 1024, 4096, 7748, 13824]
24
+ K = [256, 4096, 5120, 3884, 13824]
25
+ # Deepseek-V3's intermediate size 18432, so N is 18432*2/8=4608 at TP8
26
+ # and its hidden size is 7168.
27
+ M_moe = [1, 7, 83, 512, 2048]
28
+ N_moe = [4608] # [128, 4608, 13824]
29
+ K_moe = [7168] # [256, 7168, 13824]
30
+ BLOCK_SIZE = [[128, 128]]
31
+ E = [256] # [8, 24, 128, 256]
32
+ TOP_KS = [1] # [1, 2, 6]
33
+ OUT_DTYPES = [torch.bfloat16] # [torch.float32, torch.half, torch.bfloat16]
34
+ SEEDS = [0]
35
+
36
+
37
+ def native_per_token_group_quant_fp8(
38
+ x, group_size, eps=1e-10, dtype=torch.float8_e4m3fn
39
+ ):
40
+ """Function to perform per-token-group quantization on an input tensor
41
+ `x` using native torch."""
42
+ assert x.shape[-1] % group_size == 0, (
43
+ "the last dimension of `x` cannot " "be divisible by `group_size`"
44
+ )
45
+ assert x.is_contiguous(), "`x` is not contiguous"
46
+
47
+ finfo = torch.finfo(dtype)
48
+ fp8_min = finfo.min
49
+ fp8_max = finfo.max
50
+
51
+ x_ = x.reshape(x.numel() // group_size, group_size)
52
+ amax = x_.abs().max(dim=-1, keepdim=True)[0].clamp(min=eps).to(torch.float32)
53
+ x_s = amax / fp8_max
54
+ x_q = (x_ / x_s).clamp(min=fp8_min, max=fp8_max).to(dtype)
55
+ x_q = x_q.reshape(x.shape)
56
+ x_s = x_s.reshape(x.shape[:-1] + (x.shape[-1] // group_size,))
57
+
58
+ return x_q, x_s
59
+
60
+
61
+ def native_w8a8_block_fp8_matmul(A, B, As, Bs, block_size, output_dtype=torch.float16):
62
+ """Matrix multiplication with block-wise quantization using native torch."""
63
+ A = A.to(torch.float32)
64
+ B = B.to(torch.float32)
65
+ assert A.shape[-1] == B.shape[-1]
66
+ assert B.ndim == 2 and B.is_contiguous() and Bs.ndim == 2
67
+ assert len(block_size) == 2
68
+ block_n, block_k = block_size[0], block_size[1]
69
+ assert (A.shape[-1] + block_k - 1) // block_k == As.shape[-1]
70
+ assert A.shape[:-1] == As.shape[:-1]
71
+
72
+ M = A.numel() // A.shape[-1]
73
+ N, K = B.shape
74
+ origin_C_shape = A.shape[:-1] + (N,)
75
+ A = A.reshape(M, A.shape[-1])
76
+ As = As.reshape(M, As.shape[-1])
77
+ n_tiles = (N + block_n - 1) // block_n
78
+ k_tiles = (K + block_k - 1) // block_k
79
+ assert n_tiles == Bs.shape[0]
80
+ assert k_tiles == Bs.shape[1]
81
+
82
+ C_shape = (M, N)
83
+ C = torch.zeros(C_shape, dtype=torch.float32, device=A.device)
84
+
85
+ A_tiles = [A[:, i * block_k : min((i + 1) * block_k, K)] for i in range(k_tiles)]
86
+ B_tiles = [
87
+ [
88
+ B[
89
+ j * block_n : min((j + 1) * block_n, N),
90
+ i * block_k : min((i + 1) * block_k, K),
91
+ ]
92
+ for i in range(k_tiles)
93
+ ]
94
+ for j in range(n_tiles)
95
+ ]
96
+ C_tiles = [C[:, j * block_n : min((j + 1) * block_n, N)] for j in range(n_tiles)]
97
+ As_tiles = [As[:, i : i + 1] for i in range(k_tiles)]
98
+
99
+ for i in range(k_tiles):
100
+ for j in range(n_tiles):
101
+ a = A_tiles[i]
102
+ b = B_tiles[j][i]
103
+ c = C_tiles[j]
104
+ s = As_tiles[i] * Bs[j][i]
105
+ c[:, :] += torch.matmul(a, b.t()) * s
106
+
107
+ C = C.reshape(origin_C_shape).to(output_dtype)
108
+ return C
109
+
110
+
111
+ def torch_w8a8_block_fp8_moe(a, w1, w2, w1_s, w2_s, score, topk, block_shape):
112
+ """Fused moe with block-wise quantization using native torch."""
113
+ B, D = a.shape
114
+ a = a.view(B, -1, D).repeat(1, topk, 1).reshape(-1, D)
115
+ out = torch.zeros(B * topk, w2.shape[1], dtype=a.dtype, device=a.device)
116
+ score = torch.softmax(score, dim=-1, dtype=torch.float32)
117
+ topk_weight, topk_ids = torch.topk(score, topk)
118
+ topk_weight = topk_weight.view(-1)
119
+ topk_ids = topk_ids.view(-1)
120
+
121
+ _, block_k = block_shape[0], block_shape[1]
122
+ a_q, a_s = native_per_token_group_quant_fp8(a, block_k)
123
+ a_q = a_q.to(torch.float32)
124
+ for i in range(w1.shape[0]):
125
+ mask = topk_ids == i
126
+ if mask.sum():
127
+ inter_out = native_w8a8_block_fp8_matmul(
128
+ a_q[mask], w1[i], a_s[mask], w1_s[i], block_shape, output_dtype=a.dtype
129
+ )
130
+ act_out = SiluAndMul().forward_native(inter_out)
131
+ act_out_q, act_out_s = native_per_token_group_quant_fp8(act_out, block_k)
132
+ act_out = act_out.to(torch.float32)
133
+ out[mask] = native_w8a8_block_fp8_matmul(
134
+ act_out_q, w2[i], act_out_s, w2_s[i], block_shape, output_dtype=a.dtype
135
+ )
136
+ return (
137
+ out.view(B, -1, w2.shape[1]) * topk_weight.view(B, -1, 1).to(out.dtype)
138
+ ).sum(dim=1)
139
+
140
+
141
+ # Skip all tests if CUDA is not available
142
+ pytest.importorskip("torch.cuda")
143
+
144
+
145
+ @pytest.fixture(autouse=True)
146
+ def setup_cuda():
147
+ torch.set_default_device("cuda")
148
+
149
+
150
+ @pytest.mark.parametrize(
151
+ "num_tokens,d,dtype,group_size,seed",
152
+ itertools.product(NUM_TOKENS, D, DTYPES, GROUP_SIZE, SEEDS),
153
+ )
154
+ @torch.inference_mode()
155
+ def test_per_token_group_quant_fp8(num_tokens, d, dtype, group_size, seed):
156
+ torch.manual_seed(seed)
157
+ x = torch.rand(num_tokens, d, dtype=dtype)
158
+
159
+ ref_out, ref_scale = native_per_token_group_quant_fp8(x, group_size)
160
+ out, scale = per_token_group_quant_fp8(x, group_size)
161
+
162
+ assert torch.allclose(out.to(torch.float32), ref_out.to(torch.float32), rtol=0.15)
163
+ assert torch.allclose(scale, ref_scale)
164
+
165
+
166
+ @pytest.mark.parametrize(
167
+ "M,N,K,block_size,out_dtype,seed",
168
+ itertools.product(M, N, K, BLOCK_SIZE, OUT_DTYPES, SEEDS),
169
+ )
170
+ @torch.inference_mode()
171
+ def test_w8a8_block_fp8_matmul(M, N, K, block_size, out_dtype, seed):
172
+ torch.manual_seed(seed)
173
+ factor_for_scale = 1e-2
174
+ fp8_info = torch.finfo(torch.float8_e4m3fn)
175
+ fp8_max, fp8_min = fp8_info.max, fp8_info.min
176
+
177
+ A_fp32 = (torch.rand(M, K, dtype=torch.float32) - 0.5) * 2 * fp8_max
178
+ A_fp8 = A_fp32.clamp(min=fp8_min, max=fp8_max).to(torch.float8_e4m3fn)
179
+
180
+ B_fp32 = (torch.rand(N, K, dtype=torch.float32) - 0.5) * 2 * fp8_max
181
+ B_fp8 = B_fp32.clamp(min=fp8_min, max=fp8_max).to(torch.float8_e4m3fn)
182
+
183
+ block_n, block_k = block_size[0], block_size[1]
184
+ n_tiles = (N + block_n - 1) // block_n
185
+ k_tiles = (K + block_k - 1) // block_k
186
+
187
+ As = torch.rand(M, k_tiles, dtype=torch.float32) * factor_for_scale
188
+ Bs = torch.rand(n_tiles, k_tiles, dtype=torch.float32) * factor_for_scale
189
+
190
+ ref_out = native_w8a8_block_fp8_matmul(A_fp8, B_fp8, As, Bs, block_size, out_dtype)
191
+ out = w8a8_block_fp8_matmul(A_fp8, B_fp8, As, Bs, block_size, out_dtype)
192
+
193
+ rel_diff = torch.mean(
194
+ torch.abs(out.to(torch.float32) - ref_out.to(torch.float32))
195
+ ) / torch.mean(torch.abs(ref_out.to(torch.float32)))
196
+ assert rel_diff < 0.001
197
+
198
+
199
+ @pytest.mark.parametrize(
200
+ "M,N,K,E,topk,block_size,dtype,seed",
201
+ itertools.product(M_moe, N_moe, K_moe, E, TOP_KS, BLOCK_SIZE, DTYPES, SEEDS),
202
+ )
203
+ @torch.inference_mode()
204
+ def test_w8a8_block_fp8_fused_moe(M, N, K, E, topk, block_size, dtype, seed):
205
+ torch.manual_seed(seed)
206
+ factor_for_scale = 1e-2
207
+ fp8_info = torch.finfo(torch.float8_e4m3fn)
208
+ fp8_max, fp8_min = fp8_info.max, fp8_info.min
209
+
210
+ a = torch.randn((M, K), dtype=dtype) / 10
211
+
212
+ w1_bf16 = (torch.rand((E, 2 * N, K), dtype=torch.bfloat16) - 0.5) * 2 * fp8_max
213
+ w1 = w1_bf16.clamp(min=fp8_min, max=fp8_max).to(torch.float8_e4m3fn)
214
+ del w1_bf16
215
+
216
+ w2_bf16 = (torch.rand((E, K, N), dtype=torch.bfloat16) - 0.5) * 2 * fp8_max
217
+ w2 = w2_bf16.clamp(min=fp8_min, max=fp8_max).to(torch.float8_e4m3fn)
218
+ del w2_bf16
219
+
220
+ block_n, block_k = block_size[0], block_size[1]
221
+ n_tiles_w1 = (2 * N + block_n - 1) // block_n
222
+ n_tiles_w2 = (K + block_n - 1) // block_n
223
+ k_tiles_w1 = (K + block_k - 1) // block_k
224
+ k_tiles_w2 = (N + block_k - 1) // block_k
225
+
226
+ w1_s = (
227
+ torch.rand((E, n_tiles_w1, k_tiles_w1), dtype=torch.float32) * factor_for_scale
228
+ )
229
+ w2_s = (
230
+ torch.rand((E, n_tiles_w2, k_tiles_w2), dtype=torch.float32) * factor_for_scale
231
+ )
232
+
233
+ score = torch.randn((M, E), dtype=dtype)
234
+
235
+ out = fused_moe(
236
+ a,
237
+ w1,
238
+ w2,
239
+ score,
240
+ topk,
241
+ renormalize=False,
242
+ use_fp8_w8a8=True,
243
+ w1_scale=w1_s,
244
+ w2_scale=w2_s,
245
+ block_shape=block_size,
246
+ )
247
+ ref_out = torch_w8a8_block_fp8_moe(a, w1, w2, w1_s, w2_s, score, topk, block_size)
248
+
249
+ print(f"{out.sum()=}")
250
+ print(f"{ref_out.sum()=}")
251
+
252
+ rel_diff = torch.mean(
253
+ torch.abs(out.to(torch.float32) - ref_out.to(torch.float32))
254
+ ) / torch.mean(torch.abs(ref_out.to(torch.float32)))
255
+ assert rel_diff < 0.03
torch-ext/moe/__init__.py CHANGED
@@ -1,6 +1,7 @@
1
  import torch
2
 
3
- from ._ops import add_op_namespace_prefix, ops
 
4
  from .fused_marlin_moe import fused_marlin_moe
5
  from .fused_moe import fused_experts, fused_moe, fused_topk, grouped_topk
6
  from .scalar_type import ScalarType, scalar_types
@@ -78,14 +79,18 @@ def topk_softmax(
78
 
79
 
80
  __all__ = [
81
- "gptq_marlin_moe_repack",
82
  "awq_marlin_moe_repack",
83
  "fused_experts",
84
  "fused_marlin_moe",
 
85
  "fused_topk",
 
86
  "grouped_topk",
87
- "moe_sum",
88
  "moe_align_block_size",
 
 
 
89
  "topk_softmax",
90
- "fused_moe",
91
  ]
 
1
  import torch
2
 
3
+ from ._ops import ops
4
+ from .fp8_utils import per_token_group_quant_fp8, w8a8_block_fp8_matmul
5
  from .fused_marlin_moe import fused_marlin_moe
6
  from .fused_moe import fused_experts, fused_moe, fused_topk, grouped_topk
7
  from .scalar_type import ScalarType, scalar_types
 
79
 
80
 
81
  __all__ = [
82
+ "ScalarType",
83
  "awq_marlin_moe_repack",
84
  "fused_experts",
85
  "fused_marlin_moe",
86
+ "fused_moe",
87
  "fused_topk",
88
+ "gptq_marlin_moe_repack",
89
  "grouped_topk",
 
90
  "moe_align_block_size",
91
+ "moe_sum",
92
+ "per_token_group_quant_fp8",
93
+ "scalar_types",
94
  "topk_softmax",
95
+ "w8a8_block_fp8_matmul",
96
  ]
torch-ext/moe/configs/N=1536,K=1536,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1": {
3
+ "BLOCK_SIZE_M": 64,
4
+ "BLOCK_SIZE_N": 64,
5
+ "BLOCK_SIZE_K": 128,
6
+ "GROUP_SIZE_M": 1,
7
+ "num_warps": 4,
8
+ "num_stages": 4
9
+ },
10
+ "2": {
11
+ "BLOCK_SIZE_M": 64,
12
+ "BLOCK_SIZE_N": 32,
13
+ "BLOCK_SIZE_K": 128,
14
+ "GROUP_SIZE_M": 16,
15
+ "num_warps": 4,
16
+ "num_stages": 4
17
+ },
18
+ "4": {
19
+ "BLOCK_SIZE_M": 64,
20
+ "BLOCK_SIZE_N": 32,
21
+ "BLOCK_SIZE_K": 128,
22
+ "GROUP_SIZE_M": 1,
23
+ "num_warps": 4,
24
+ "num_stages": 4
25
+ },
26
+ "8": {
27
+ "BLOCK_SIZE_M": 64,
28
+ "BLOCK_SIZE_N": 32,
29
+ "BLOCK_SIZE_K": 128,
30
+ "GROUP_SIZE_M": 1,
31
+ "num_warps": 4,
32
+ "num_stages": 4
33
+ },
34
+ "16": {
35
+ "BLOCK_SIZE_M": 64,
36
+ "BLOCK_SIZE_N": 32,
37
+ "BLOCK_SIZE_K": 128,
38
+ "GROUP_SIZE_M": 1,
39
+ "num_warps": 4,
40
+ "num_stages": 4
41
+ },
42
+ "24": {
43
+ "BLOCK_SIZE_M": 64,
44
+ "BLOCK_SIZE_N": 32,
45
+ "BLOCK_SIZE_K": 128,
46
+ "GROUP_SIZE_M": 16,
47
+ "num_warps": 4,
48
+ "num_stages": 4
49
+ },
50
+ "32": {
51
+ "BLOCK_SIZE_M": 64,
52
+ "BLOCK_SIZE_N": 32,
53
+ "BLOCK_SIZE_K": 128,
54
+ "GROUP_SIZE_M": 16,
55
+ "num_warps": 4,
56
+ "num_stages": 4
57
+ },
58
+ "48": {
59
+ "BLOCK_SIZE_M": 64,
60
+ "BLOCK_SIZE_N": 32,
61
+ "BLOCK_SIZE_K": 128,
62
+ "GROUP_SIZE_M": 1,
63
+ "num_warps": 4,
64
+ "num_stages": 4
65
+ },
66
+ "64": {
67
+ "BLOCK_SIZE_M": 64,
68
+ "BLOCK_SIZE_N": 32,
69
+ "BLOCK_SIZE_K": 128,
70
+ "GROUP_SIZE_M": 1,
71
+ "num_warps": 4,
72
+ "num_stages": 4
73
+ },
74
+ "96": {
75
+ "BLOCK_SIZE_M": 64,
76
+ "BLOCK_SIZE_N": 32,
77
+ "BLOCK_SIZE_K": 128,
78
+ "GROUP_SIZE_M": 1,
79
+ "num_warps": 4,
80
+ "num_stages": 4
81
+ },
82
+ "128": {
83
+ "BLOCK_SIZE_M": 64,
84
+ "BLOCK_SIZE_N": 32,
85
+ "BLOCK_SIZE_K": 128,
86
+ "GROUP_SIZE_M": 1,
87
+ "num_warps": 4,
88
+ "num_stages": 4
89
+ },
90
+ "256": {
91
+ "BLOCK_SIZE_M": 64,
92
+ "BLOCK_SIZE_N": 32,
93
+ "BLOCK_SIZE_K": 128,
94
+ "GROUP_SIZE_M": 16,
95
+ "num_warps": 4,
96
+ "num_stages": 5
97
+ },
98
+ "512": {
99
+ "BLOCK_SIZE_M": 64,
100
+ "BLOCK_SIZE_N": 32,
101
+ "BLOCK_SIZE_K": 128,
102
+ "GROUP_SIZE_M": 16,
103
+ "num_warps": 4,
104
+ "num_stages": 3
105
+ },
106
+ "1024": {
107
+ "BLOCK_SIZE_M": 64,
108
+ "BLOCK_SIZE_N": 64,
109
+ "BLOCK_SIZE_K": 128,
110
+ "GROUP_SIZE_M": 1,
111
+ "num_warps": 4,
112
+ "num_stages": 3
113
+ },
114
+ "1536": {
115
+ "BLOCK_SIZE_M": 64,
116
+ "BLOCK_SIZE_N": 64,
117
+ "BLOCK_SIZE_K": 128,
118
+ "GROUP_SIZE_M": 16,
119
+ "num_warps": 4,
120
+ "num_stages": 3
121
+ },
122
+ "2048": {
123
+ "BLOCK_SIZE_M": 64,
124
+ "BLOCK_SIZE_N": 64,
125
+ "BLOCK_SIZE_K": 128,
126
+ "GROUP_SIZE_M": 16,
127
+ "num_warps": 4,
128
+ "num_stages": 3
129
+ },
130
+ "3072": {
131
+ "BLOCK_SIZE_M": 64,
132
+ "BLOCK_SIZE_N": 64,
133
+ "BLOCK_SIZE_K": 128,
134
+ "GROUP_SIZE_M": 16,
135
+ "num_warps": 4,
136
+ "num_stages": 3
137
+ },
138
+ "4096": {
139
+ "BLOCK_SIZE_M": 64,
140
+ "BLOCK_SIZE_N": 128,
141
+ "BLOCK_SIZE_K": 128,
142
+ "GROUP_SIZE_M": 16,
143
+ "num_warps": 4,
144
+ "num_stages": 3
145
+ }
146
+ }
torch-ext/moe/configs/N=1536,K=7168,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1": {
3
+ "BLOCK_SIZE_M": 64,
4
+ "BLOCK_SIZE_N": 64,
5
+ "BLOCK_SIZE_K": 128,
6
+ "GROUP_SIZE_M": 32,
7
+ "num_warps": 4,
8
+ "num_stages": 4
9
+ },
10
+ "2": {
11
+ "BLOCK_SIZE_M": 64,
12
+ "BLOCK_SIZE_N": 32,
13
+ "BLOCK_SIZE_K": 128,
14
+ "GROUP_SIZE_M": 1,
15
+ "num_warps": 4,
16
+ "num_stages": 5
17
+ },
18
+ "4": {
19
+ "BLOCK_SIZE_M": 64,
20
+ "BLOCK_SIZE_N": 32,
21
+ "BLOCK_SIZE_K": 128,
22
+ "GROUP_SIZE_M": 16,
23
+ "num_warps": 4,
24
+ "num_stages": 5
25
+ },
26
+ "8": {
27
+ "BLOCK_SIZE_M": 64,
28
+ "BLOCK_SIZE_N": 32,
29
+ "BLOCK_SIZE_K": 128,
30
+ "GROUP_SIZE_M": 1,
31
+ "num_warps": 4,
32
+ "num_stages": 4
33
+ },
34
+ "16": {
35
+ "BLOCK_SIZE_M": 64,
36
+ "BLOCK_SIZE_N": 32,
37
+ "BLOCK_SIZE_K": 128,
38
+ "GROUP_SIZE_M": 1,
39
+ "num_warps": 4,
40
+ "num_stages": 4
41
+ },
42
+ "24": {
43
+ "BLOCK_SIZE_M": 64,
44
+ "BLOCK_SIZE_N": 32,
45
+ "BLOCK_SIZE_K": 128,
46
+ "GROUP_SIZE_M": 1,
47
+ "num_warps": 4,
48
+ "num_stages": 5
49
+ },
50
+ "32": {
51
+ "BLOCK_SIZE_M": 64,
52
+ "BLOCK_SIZE_N": 32,
53
+ "BLOCK_SIZE_K": 128,
54
+ "GROUP_SIZE_M": 1,
55
+ "num_warps": 4,
56
+ "num_stages": 4
57
+ },
58
+ "48": {
59
+ "BLOCK_SIZE_M": 64,
60
+ "BLOCK_SIZE_N": 32,
61
+ "BLOCK_SIZE_K": 128,
62
+ "GROUP_SIZE_M": 16,
63
+ "num_warps": 4,
64
+ "num_stages": 4
65
+ },
66
+ "64": {
67
+ "BLOCK_SIZE_M": 64,
68
+ "BLOCK_SIZE_N": 32,
69
+ "BLOCK_SIZE_K": 128,
70
+ "GROUP_SIZE_M": 1,
71
+ "num_warps": 4,
72
+ "num_stages": 4
73
+ },
74
+ "96": {
75
+ "BLOCK_SIZE_M": 64,
76
+ "BLOCK_SIZE_N": 32,
77
+ "BLOCK_SIZE_K": 128,
78
+ "GROUP_SIZE_M": 1,
79
+ "num_warps": 4,
80
+ "num_stages": 5
81
+ },
82
+ "128": {
83
+ "BLOCK_SIZE_M": 64,
84
+ "BLOCK_SIZE_N": 32,
85
+ "BLOCK_SIZE_K": 128,
86
+ "GROUP_SIZE_M": 1,
87
+ "num_warps": 4,
88
+ "num_stages": 5
89
+ },
90
+ "256": {
91
+ "BLOCK_SIZE_M": 64,
92
+ "BLOCK_SIZE_N": 64,
93
+ "BLOCK_SIZE_K": 128,
94
+ "GROUP_SIZE_M": 16,
95
+ "num_warps": 4,
96
+ "num_stages": 4
97
+ },
98
+ "512": {
99
+ "BLOCK_SIZE_M": 64,
100
+ "BLOCK_SIZE_N": 32,
101
+ "BLOCK_SIZE_K": 128,
102
+ "GROUP_SIZE_M": 1,
103
+ "num_warps": 4,
104
+ "num_stages": 3
105
+ },
106
+ "1024": {
107
+ "BLOCK_SIZE_M": 64,
108
+ "BLOCK_SIZE_N": 64,
109
+ "BLOCK_SIZE_K": 128,
110
+ "GROUP_SIZE_M": 16,
111
+ "num_warps": 4,
112
+ "num_stages": 3
113
+ },
114
+ "1536": {
115
+ "BLOCK_SIZE_M": 64,
116
+ "BLOCK_SIZE_N": 64,
117
+ "BLOCK_SIZE_K": 128,
118
+ "GROUP_SIZE_M": 1,
119
+ "num_warps": 4,
120
+ "num_stages": 3
121
+ },
122
+ "2048": {
123
+ "BLOCK_SIZE_M": 64,
124
+ "BLOCK_SIZE_N": 64,
125
+ "BLOCK_SIZE_K": 128,
126
+ "GROUP_SIZE_M": 1,
127
+ "num_warps": 4,
128
+ "num_stages": 3
129
+ },
130
+ "3072": {
131
+ "BLOCK_SIZE_M": 64,
132
+ "BLOCK_SIZE_N": 64,
133
+ "BLOCK_SIZE_K": 128,
134
+ "GROUP_SIZE_M": 1,
135
+ "num_warps": 4,
136
+ "num_stages": 3
137
+ },
138
+ "4096": {
139
+ "BLOCK_SIZE_M": 64,
140
+ "BLOCK_SIZE_N": 128,
141
+ "BLOCK_SIZE_K": 128,
142
+ "GROUP_SIZE_M": 16,
143
+ "num_warps": 4,
144
+ "num_stages": 3
145
+ }
146
+ }
torch-ext/moe/configs/N=1536,K=7168,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128, 128].json ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1": {
3
+ "BLOCK_SIZE_M": 64,
4
+ "BLOCK_SIZE_N": 32,
5
+ "BLOCK_SIZE_K": 128,
6
+ "GROUP_SIZE_M": 64,
7
+ "num_warps": 4,
8
+ "num_stages": 5
9
+ },
10
+ "2": {
11
+ "BLOCK_SIZE_M": 64,
12
+ "BLOCK_SIZE_N": 32,
13
+ "BLOCK_SIZE_K": 128,
14
+ "GROUP_SIZE_M": 1,
15
+ "num_warps": 4,
16
+ "num_stages": 5
17
+ },
18
+ "4": {
19
+ "BLOCK_SIZE_M": 64,
20
+ "BLOCK_SIZE_N": 32,
21
+ "BLOCK_SIZE_K": 128,
22
+ "GROUP_SIZE_M": 1,
23
+ "num_warps": 4,
24
+ "num_stages": 4
25
+ },
26
+ "8": {
27
+ "BLOCK_SIZE_M": 64,
28
+ "BLOCK_SIZE_N": 32,
29
+ "BLOCK_SIZE_K": 128,
30
+ "GROUP_SIZE_M": 64,
31
+ "num_warps": 4,
32
+ "num_stages": 4
33
+ },
34
+ "16": {
35
+ "BLOCK_SIZE_M": 64,
36
+ "BLOCK_SIZE_N": 32,
37
+ "BLOCK_SIZE_K": 128,
38
+ "GROUP_SIZE_M": 64,
39
+ "num_warps": 4,
40
+ "num_stages": 4
41
+ },
42
+ "24": {
43
+ "BLOCK_SIZE_M": 64,
44
+ "BLOCK_SIZE_N": 32,
45
+ "BLOCK_SIZE_K": 128,
46
+ "GROUP_SIZE_M": 64,
47
+ "num_warps": 4,
48
+ "num_stages": 4
49
+ },
50
+ "32": {
51
+ "BLOCK_SIZE_M": 64,
52
+ "BLOCK_SIZE_N": 32,
53
+ "BLOCK_SIZE_K": 128,
54
+ "GROUP_SIZE_M": 32,
55
+ "num_warps": 4,
56
+ "num_stages": 4
57
+ },
58
+ "48": {
59
+ "BLOCK_SIZE_M": 64,
60
+ "BLOCK_SIZE_N": 32,
61
+ "BLOCK_SIZE_K": 128,
62
+ "GROUP_SIZE_M": 1,
63
+ "num_warps": 4,
64
+ "num_stages": 4
65
+ },
66
+ "64": {
67
+ "BLOCK_SIZE_M": 64,
68
+ "BLOCK_SIZE_N": 32,
69
+ "BLOCK_SIZE_K": 128,
70
+ "GROUP_SIZE_M": 16,
71
+ "num_warps": 4,
72
+ "num_stages": 4
73
+ },
74
+ "96": {
75
+ "BLOCK_SIZE_M": 64,
76
+ "BLOCK_SIZE_N": 32,
77
+ "BLOCK_SIZE_K": 128,
78
+ "GROUP_SIZE_M": 16,
79
+ "num_warps": 4,
80
+ "num_stages": 4
81
+ },
82
+ "128": {
83
+ "BLOCK_SIZE_M": 64,
84
+ "BLOCK_SIZE_N": 32,
85
+ "BLOCK_SIZE_K": 128,
86
+ "GROUP_SIZE_M": 32,
87
+ "num_warps": 4,
88
+ "num_stages": 4
89
+ },
90
+ "256": {
91
+ "BLOCK_SIZE_M": 64,
92
+ "BLOCK_SIZE_N": 64,
93
+ "BLOCK_SIZE_K": 128,
94
+ "GROUP_SIZE_M": 32,
95
+ "num_warps": 4,
96
+ "num_stages": 5
97
+ },
98
+ "512": {
99
+ "BLOCK_SIZE_M": 64,
100
+ "BLOCK_SIZE_N": 32,
101
+ "BLOCK_SIZE_K": 128,
102
+ "GROUP_SIZE_M": 1,
103
+ "num_warps": 4,
104
+ "num_stages": 3
105
+ },
106
+ "1024": {
107
+ "BLOCK_SIZE_M": 64,
108
+ "BLOCK_SIZE_N": 64,
109
+ "BLOCK_SIZE_K": 128,
110
+ "GROUP_SIZE_M": 32,
111
+ "num_warps": 4,
112
+ "num_stages": 3
113
+ },
114
+ "1536": {
115
+ "BLOCK_SIZE_M": 64,
116
+ "BLOCK_SIZE_N": 64,
117
+ "BLOCK_SIZE_K": 128,
118
+ "GROUP_SIZE_M": 64,
119
+ "num_warps": 4,
120
+ "num_stages": 3
121
+ },
122
+ "2048": {
123
+ "BLOCK_SIZE_M": 64,
124
+ "BLOCK_SIZE_N": 64,
125
+ "BLOCK_SIZE_K": 128,
126
+ "GROUP_SIZE_M": 16,
127
+ "num_warps": 4,
128
+ "num_stages": 3
129
+ },
130
+ "3072": {
131
+ "BLOCK_SIZE_M": 64,
132
+ "BLOCK_SIZE_N": 64,
133
+ "BLOCK_SIZE_K": 128,
134
+ "GROUP_SIZE_M": 64,
135
+ "num_warps": 4,
136
+ "num_stages": 3
137
+ },
138
+ "4096": {
139
+ "BLOCK_SIZE_M": 64,
140
+ "BLOCK_SIZE_N": 128,
141
+ "BLOCK_SIZE_K": 128,
142
+ "GROUP_SIZE_M": 16,
143
+ "num_warps": 4,
144
+ "num_stages": 3
145
+ }
146
+ }
torch-ext/moe/configs/N=2048,K=512,device_name=NVIDIA_H100_80GB_HBM3,dtype=fp8_w8a8,block_shape=[128, 128].json ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1": {
3
+ "BLOCK_SIZE_M": 64,
4
+ "BLOCK_SIZE_N": 32,
5
+ "BLOCK_SIZE_K": 128,
6
+ "GROUP_SIZE_M": 1,
7
+ "num_warps": 4,
8
+ "num_stages": 5
9
+ },
10
+ "2": {
11
+ "BLOCK_SIZE_M": 64,
12
+ "BLOCK_SIZE_N": 32,
13
+ "BLOCK_SIZE_K": 128,
14
+ "GROUP_SIZE_M": 32,
15
+ "num_warps": 4,
16
+ "num_stages": 5
17
+ },
18
+ "4": {
19
+ "BLOCK_SIZE_M": 64,
20
+ "BLOCK_SIZE_N": 32,
21
+ "BLOCK_SIZE_K": 128,
22
+ "GROUP_SIZE_M": 1,
23
+ "num_warps": 4,
24
+ "num_stages": 5
25
+ },
26
+ "8": {
27
+ "BLOCK_SIZE_M": 64,
28
+ "BLOCK_SIZE_N": 32,
29
+ "BLOCK_SIZE_K": 128,
30
+ "GROUP_SIZE_M": 1,
31
+ "num_warps": 4,
32
+ "num_stages": 4
33
+ },
34
+ "16": {
35
+ "BLOCK_SIZE_M": 64,
36
+ "BLOCK_SIZE_N": 32,
37
+ "BLOCK_SIZE_K": 128,
38
+ "GROUP_SIZE_M": 1,
39
+ "num_warps": 4,
40
+ "num_stages": 4
41
+ },
42
+ "24": {
43
+ "BLOCK_SIZE_M": 64,
44
+ "BLOCK_SIZE_N": 32,
45
+ "BLOCK_SIZE_K": 128,
46
+ "GROUP_SIZE_M": 1,
47
+ "num_warps": 4,
48
+ "num_stages": 4
49
+ },
50
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