Hugging Face's logo

Datasets:
meg
/
benchmarks

Dataset card Viewer Files Community
meg HF staff commited on
Commit
6a3f006
•
1 Parent(s): a1986c1

Upload 2024-09-30-20-07-10/pytorch/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. 2024-09-30-20-07-10/pytorch/benchmark.json +285 -0
2024-09-30-20-07-10/pytorch/benchmark.json ADDED
@@ -0,0 +1,285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "2024-09-30-20-07-10/pytorch",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.4.1",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "feature-extraction",
9
+ "library": "transformers",
10
+ "model_type": "gpt2",
11
+ "model": "openai-community/gpt2",
12
+ "processor": "openai-community/gpt2",
13
+ "device": "cpu",
14
+ "device_ids": null,
15
+ "seed": 42,
16
+ "inter_op_num_threads": null,
17
+ "intra_op_num_threads": null,
18
+ "model_kwargs": {},
19
+ "processor_kwargs": {},
20
+ "no_weights": false,
21
+ "device_map": null,
22
+ "torch_dtype": "float32",
23
+ "eval_mode": true,
24
+ "to_bettertransformer": false,
25
+ "low_cpu_mem_usage": null,
26
+ "attn_implementation": null,
27
+ "cache_implementation": null,
28
+ "autocast_enabled": false,
29
+ "autocast_dtype": null,
30
+ "torch_compile": false,
31
+ "torch_compile_target": "forward",
32
+ "torch_compile_config": {},
33
+ "quantization_scheme": null,
34
+ "quantization_config": {},
35
+ "deepspeed_inference": false,
36
+ "deepspeed_inference_config": {},
37
+ "peft_type": null,
38
+ "peft_config": {}
39
+ },
40
+ "scenario": {
41
+ "name": "inference",
42
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
43
+ "iterations": 10,
44
+ "duration": 10,
45
+ "warmup_runs": 10,
46
+ "input_shapes": {
47
+ "batch_size": 2,
48
+ "num_choices": 2,
49
+ "sequence_length": 16
50
+ },
51
+ "new_tokens": null,
52
+ "memory": true,
53
+ "latency": true,
54
+ "energy": false,
55
+ "forward_kwargs": {},
56
+ "generate_kwargs": {
57
+ "max_new_tokens": 32,
58
+ "min_new_tokens": 32
59
+ },
60
+ "call_kwargs": {}
61
+ },
62
+ "launcher": {
63
+ "name": "process",
64
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
65
+ "device_isolation": false,
66
+ "device_isolation_action": null,
67
+ "numactl": true,
68
+ "numactl_kwargs": {
69
+ "cpunodebind": 0,
70
+ "membind": 0
71
+ },
72
+ "start_method": "spawn"
73
+ },
74
+ "environment": {
75
+ "cpu": " AMD EPYC 7R13 Processor",
76
+ "cpu_count": 64,
77
+ "cpu_ram_mb": 529717.026816,
78
+ "system": "Linux",
79
+ "machine": "x86_64",
80
+ "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36",
81
+ "processor": "",
82
+ "python_version": "3.10.15",
83
+ "optimum_benchmark_version": "0.5.0",
84
+ "optimum_benchmark_commit": null,
85
+ "transformers_version": "4.44.2",
86
+ "transformers_commit": null,
87
+ "accelerate_version": "0.34.2",
88
+ "accelerate_commit": null,
89
+ "diffusers_version": null,
90
+ "diffusers_commit": null,
91
+ "optimum_version": "1.22.0",
92
+ "optimum_commit": null,
93
+ "timm_version": null,
94
+ "timm_commit": null,
95
+ "peft_version": null,
96
+ "peft_commit": null
97
+ }
98
+ },
99
+ "report": {
100
+ "load": {
101
+ "memory": {
102
+ "unit": "MB",
103
+ "max_ram": 681.046016,
104
+ "max_global_vram": null,
105
+ "max_process_vram": null,
106
+ "max_reserved": null,
107
+ "max_allocated": null
108
+ },
109
+ "latency": {
110
+ "unit": "s",
111
+ "values": [
112
+ 3.966448713093996
113
+ ],
114
+ "count": 1,
115
+ "total": 3.966448713093996,
116
+ "mean": 3.966448713093996,
117
+ "p50": 3.966448713093996,
118
+ "p90": 3.966448713093996,
119
+ "p95": 3.966448713093996,
120
+ "p99": 3.966448713093996,
121
+ "stdev": 0,
122
+ "stdev_": 0
123
+ },
124
+ "throughput": null,
125
+ "energy": null,
126
+ "efficiency": null
127
+ },
128
+ "forward": {
129
+ "memory": {
130
+ "unit": "MB",
131
+ "max_ram": 1118.568448,
132
+ "max_global_vram": null,
133
+ "max_process_vram": null,
134
+ "max_reserved": null,
135
+ "max_allocated": null
136
+ },
137
+ "latency": {
138
+ "unit": "s",
139
+ "values": [
140
+ 0.031664811074733734,
141
+ 0.09032496809959412,
142
+ 0.08789736032485962,
143
+ 0.08879967033863068,
144
+ 0.03201989829540253,
145
+ 0.08423884212970734,
146
+ 0.09121345728635788,
147
+ 0.08818551898002625,
148
+ 0.10675350204110146,
149
+ 0.19785945490002632,
150
+ 0.0942402333021164,
151
+ 0.04522080719470978,
152
+ 0.08535459265112877,
153
+ 0.08885210379958153,
154
+ 0.0986480675637722,
155
+ 0.09995739534497261,
156
+ 0.09575177729129791,
157
+ 0.09239067509770393,
158
+ 0.03208519145846367,
159
+ 0.09070052206516266,
160
+ 0.10381597653031349,
161
+ 0.09207630902528763,
162
+ 0.10417983680963516,
163
+ 0.0865817703306675,
164
+ 0.09156954288482666,
165
+ 0.040636464953422546,
166
+ 0.08521194010972977,
167
+ 0.08829500526189804,
168
+ 0.08948914706707001,
169
+ 0.1023632176220417,
170
+ 0.03461951017379761,
171
+ 0.0840756930410862,
172
+ 0.0945257768034935,
173
+ 0.08783899620175362,
174
+ 0.09395387768745422,
175
+ 0.034185975790023804,
176
+ 0.09510071203112602,
177
+ 0.0886068120598793,
178
+ 0.08157702162861824,
179
+ 0.09246017038822174,
180
+ 0.031726278364658356,
181
+ 0.08865620940923691,
182
+ 0.08059243112802505,
183
+ 0.032624177634716034,
184
+ 0.09196900576353073,
185
+ 0.0810699611902237,
186
+ 0.032106757164001465,
187
+ 0.08851849660277367,
188
+ 0.08451725915074348,
189
+ 0.08841004222631454,
190
+ 0.03747054189443588,
191
+ 0.0800025649368763,
192
+ 0.08907618746161461,
193
+ 0.031612418591976166,
194
+ 0.0850784033536911,
195
+ 0.08847757801413536,
196
+ 0.03188742697238922,
197
+ 0.08446324989199638,
198
+ 0.08871014416217804,
199
+ 0.08404295146465302,
200
+ 0.031542208045721054,
201
+ 0.0881211906671524,
202
+ 0.08473438397049904,
203
+ 0.032881759107112885,
204
+ 0.08916052803397179,
205
+ 0.08412286266684532,
206
+ 0.09036565572023392,
207
+ 0.03156974911689758,
208
+ 0.08749698475003242,
209
+ 0.09203888103365898,
210
+ 0.10392692685127258,
211
+ 0.09789970889687538,
212
+ 0.08869035914540291,
213
+ 0.03473401442170143,
214
+ 0.09474534913897514,
215
+ 0.09939325973391533,
216
+ 0.09798290580511093,
217
+ 0.0987880527973175,
218
+ 0.0935584120452404,
219
+ 0.0831904374063015,
220
+ 0.10094492882490158,
221
+ 0.031647149473428726,
222
+ 0.08074774593114853,
223
+ 0.08792132139205933,
224
+ 0.03603678196668625,
225
+ 0.09554637596011162,
226
+ 0.08905418589711189,
227
+ 0.0875939279794693,
228
+ 0.09969789162278175,
229
+ 0.09206515178084373,
230
+ 0.10020159929990768,
231
+ 0.03647914156317711,
232
+ 0.15708202123641968,
233
+ 0.039025597274303436,
234
+ 0.0864202082157135,
235
+ 0.08877819776535034,
236
+ 0.0871780626475811,
237
+ 0.0955420508980751,
238
+ 0.033497247844934464,
239
+ 0.08007903769612312,
240
+ 0.08830239623785019,
241
+ 0.03901897743344307,
242
+ 0.09567869827151299,
243
+ 0.09157699719071388,
244
+ 0.09119665995240211,
245
+ 0.09682190045714378,
246
+ 0.033938050270080566,
247
+ 0.08098247274756432,
248
+ 0.08844276517629623,
249
+ 0.09172916784882545,
250
+ 0.08812952414155006,
251
+ 0.032098960131406784,
252
+ 0.08067170158028603,
253
+ 0.09230662509799004,
254
+ 0.04153048247098923,
255
+ 0.08251176029443741,
256
+ 0.09716947749257088,
257
+ 0.08605539053678513,
258
+ 0.09076864272356033,
259
+ 0.04387693107128143,
260
+ 0.0814075917005539,
261
+ 0.08873757347464561,
262
+ 0.09102284908294678,
263
+ 0.09644880890846252,
264
+ 0.09592880681157112,
265
+ 0.10283755138516426
266
+ ],
267
+ "count": 126,
268
+ "total": 10.094007708132267,
269
+ "mean": 0.08011117228676402,
270
+ "p50": 0.08842640370130539,
271
+ "p90": 0.09909065626561642,
272
+ "p95": 0.10271896794438362,
273
+ "p99": 0.14449989143759012,
274
+ "stdev": 0.026657956278453555,
275
+ "stdev_": 33.276202953352595
276
+ },
277
+ "throughput": {
278
+ "unit": "samples/s",
279
+ "value": 24.965306871816182
280
+ },
281
+ "energy": null,
282
+ "efficiency": null
283
+ }
284
+ }
285
+ }