Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
4ad451b
·
verified ·
1 Parent(s): fca31f0

Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json +290 -0
cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json ADDED
@@ -0,0 +1,290 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.2.2",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "multiple-choice",
9
+ "model": "FacebookAI/roberta-base",
10
+ "library": "transformers",
11
+ "device": "cuda",
12
+ "device_ids": "0",
13
+ "seed": 42,
14
+ "inter_op_num_threads": null,
15
+ "intra_op_num_threads": null,
16
+ "hub_kwargs": {
17
+ "revision": "main",
18
+ "force_download": false,
19
+ "local_files_only": false,
20
+ "trust_remote_code": false
21
+ },
22
+ "no_weights": true,
23
+ "device_map": null,
24
+ "torch_dtype": null,
25
+ "eval_mode": true,
26
+ "to_bettertransformer": false,
27
+ "low_cpu_mem_usage": null,
28
+ "attn_implementation": null,
29
+ "cache_implementation": null,
30
+ "autocast_enabled": false,
31
+ "autocast_dtype": null,
32
+ "torch_compile": false,
33
+ "torch_compile_target": "forward",
34
+ "torch_compile_config": {},
35
+ "quantization_scheme": null,
36
+ "quantization_config": {},
37
+ "deepspeed_inference": false,
38
+ "deepspeed_inference_config": {},
39
+ "peft_type": null,
40
+ "peft_config": {}
41
+ },
42
+ "scenario": {
43
+ "name": "inference",
44
+ "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
45
+ "iterations": 1,
46
+ "duration": 1,
47
+ "warmup_runs": 1,
48
+ "input_shapes": {
49
+ "batch_size": 1,
50
+ "num_choices": 2,
51
+ "sequence_length": 2
52
+ },
53
+ "new_tokens": null,
54
+ "latency": true,
55
+ "memory": true,
56
+ "energy": true,
57
+ "forward_kwargs": {},
58
+ "generate_kwargs": {
59
+ "max_new_tokens": 2,
60
+ "min_new_tokens": 2
61
+ },
62
+ "call_kwargs": {
63
+ "num_inference_steps": 2
64
+ }
65
+ },
66
+ "launcher": {
67
+ "name": "process",
68
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
69
+ "device_isolation": true,
70
+ "device_isolation_action": "error",
71
+ "start_method": "spawn"
72
+ },
73
+ "environment": {
74
+ "cpu": " AMD EPYC 7R32",
75
+ "cpu_count": 16,
76
+ "cpu_ram_mb": 66697.29792,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
80
+ "processor": "x86_64",
81
+ "python_version": "3.10.14",
82
+ "gpu": [
83
+ "NVIDIA A10G"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 24146608128,
87
+ "optimum_benchmark_version": "0.2.0",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.40.2",
90
+ "transformers_commit": null,
91
+ "accelerate_version": "0.30.0",
92
+ "accelerate_commit": null,
93
+ "diffusers_version": "0.27.2",
94
+ "diffusers_commit": null,
95
+ "optimum_version": null,
96
+ "optimum_commit": null,
97
+ "timm_version": "0.9.16",
98
+ "timm_commit": null,
99
+ "peft_version": null,
100
+ "peft_commit": null
101
+ }
102
+ },
103
+ "report": {
104
+ "forward": {
105
+ "memory": {
106
+ "unit": "MB",
107
+ "max_ram": 890.933248,
108
+ "max_global_vram": 1195.900928,
109
+ "max_process_vram": 0.0,
110
+ "max_reserved": 555.74528,
111
+ "max_allocated": 509.039104
112
+ },
113
+ "latency": {
114
+ "unit": "s",
115
+ "count": 147,
116
+ "total": 1.0010028176307677,
117
+ "mean": 0.006809542977080052,
118
+ "stdev": 0.0004622006678675761,
119
+ "p50": 0.006697951793670654,
120
+ "p90": 0.006977740859985352,
121
+ "p95": 0.007162982416152954,
122
+ "p99": 0.009501163654327387,
123
+ "values": [
124
+ 0.01036083221435547,
125
+ 0.009812992095947265,
126
+ 0.009135104179382325,
127
+ 0.007342080116271973,
128
+ 0.00729804801940918,
129
+ 0.007814144134521485,
130
+ 0.007114751815795899,
131
+ 0.006765567779541016,
132
+ 0.006710271835327148,
133
+ 0.006730751991271973,
134
+ 0.006702079772949219,
135
+ 0.006699007987976074,
136
+ 0.0067123198509216305,
137
+ 0.006692863941192627,
138
+ 0.006808544158935547,
139
+ 0.006694911956787109,
140
+ 0.006713344097137451,
141
+ 0.006721536159515381,
142
+ 0.006738944053649902,
143
+ 0.006731776237487793,
144
+ 0.00669593620300293,
145
+ 0.00667852783203125,
146
+ 0.006694911956787109,
147
+ 0.006669312000274658,
148
+ 0.006651904106140137,
149
+ 0.006800384044647217,
150
+ 0.006976511955261231,
151
+ 0.007166975975036621,
152
+ 0.007153664112091064,
153
+ 0.006994944095611572,
154
+ 0.006936575889587402,
155
+ 0.006918144226074219,
156
+ 0.006949888229370117,
157
+ 0.006945792198181152,
158
+ 0.006899712085723877,
159
+ 0.006987775802612305,
160
+ 0.007016448020935059,
161
+ 0.007038976192474365,
162
+ 0.006930431842803955,
163
+ 0.006979584217071533,
164
+ 0.006725632190704346,
165
+ 0.006706175804138184,
166
+ 0.006657023906707763,
167
+ 0.00667852783203125,
168
+ 0.006691840171813965,
169
+ 0.006652927875518798,
170
+ 0.0066416640281677245,
171
+ 0.00669593620300293,
172
+ 0.006660096168518067,
173
+ 0.006669312000274658,
174
+ 0.006657023906707763,
175
+ 0.006647808074951172,
176
+ 0.006652927875518798,
177
+ 0.0066447358131408694,
178
+ 0.006627327919006347,
179
+ 0.0067338237762451176,
180
+ 0.0068853759765625,
181
+ 0.006876160144805908,
182
+ 0.006663167953491211,
183
+ 0.006680575847625733,
184
+ 0.006663167953491211,
185
+ 0.006628384113311767,
186
+ 0.0066344962120056155,
187
+ 0.006647808074951172,
188
+ 0.006626304149627686,
189
+ 0.007288832187652588,
190
+ 0.006768671989440918,
191
+ 0.006863808155059815,
192
+ 0.006714367866516113,
193
+ 0.006740992069244385,
194
+ 0.006761472225189209,
195
+ 0.006735936164855957,
196
+ 0.006687744140625,
197
+ 0.0066826558113098145,
198
+ 0.006632480144500732,
199
+ 0.006676447868347168,
200
+ 0.006697951793670654,
201
+ 0.0066518402099609375,
202
+ 0.006653952121734619,
203
+ 0.0066641921997070315,
204
+ 0.006662144184112549,
205
+ 0.00668665599822998,
206
+ 0.006692863941192627,
207
+ 0.006656000137329102,
208
+ 0.006670335769653321,
209
+ 0.006689792156219483,
210
+ 0.0066447358131408694,
211
+ 0.006658048152923584,
212
+ 0.006675456047058105,
213
+ 0.006643712043762207,
214
+ 0.006661119937896728,
215
+ 0.006676479816436768,
216
+ 0.00663753604888916,
217
+ 0.0067041277885437015,
218
+ 0.006732800006866455,
219
+ 0.006713280200958252,
220
+ 0.00672051191329956,
221
+ 0.00672051191329956,
222
+ 0.006715392112731934,
223
+ 0.006714367866516113,
224
+ 0.00672870397567749,
225
+ 0.0067010560035705566,
226
+ 0.006718463897705078,
227
+ 0.006732895851135254,
228
+ 0.006712287902832031,
229
+ 0.0066979842185974124,
230
+ 0.006733856201171875,
231
+ 0.00673689603805542,
232
+ 0.0067010560035705566,
233
+ 0.006724607944488525,
234
+ 0.006680575847625733,
235
+ 0.006642687797546387,
236
+ 0.006652927875518798,
237
+ 0.006672383785247803,
238
+ 0.006656000137329102,
239
+ 0.006796288013458252,
240
+ 0.006656000137329102,
241
+ 0.006639616012573242,
242
+ 0.00662937593460083,
243
+ 0.0066375679969787596,
244
+ 0.006624256134033203,
245
+ 0.006642687797546387,
246
+ 0.006660031795501709,
247
+ 0.006636544227600098,
248
+ 0.0067491202354431155,
249
+ 0.006723584175109864,
250
+ 0.006672383785247803,
251
+ 0.006687744140625,
252
+ 0.0066713600158691405,
253
+ 0.006703104019165039,
254
+ 0.006779903888702392,
255
+ 0.006672383785247803,
256
+ 0.006843391895294189,
257
+ 0.006691840171813965,
258
+ 0.006710303783416748,
259
+ 0.006804480075836182,
260
+ 0.006680575847625733,
261
+ 0.006652927875518798,
262
+ 0.006666240215301514,
263
+ 0.006658048152923584,
264
+ 0.006745120048522949,
265
+ 0.0067686400413513184,
266
+ 0.006666240215301514,
267
+ 0.006649856090545654,
268
+ 0.00667852783203125,
269
+ 0.006672351837158203,
270
+ 0.006708223819732666
271
+ ]
272
+ },
273
+ "throughput": {
274
+ "unit": "samples/s",
275
+ "value": 146.85273348973007
276
+ },
277
+ "energy": {
278
+ "unit": "kWh",
279
+ "cpu": 7.922582383509037e-08,
280
+ "ram": 4.33093671053939e-08,
281
+ "gpu": 1.5034456471998507e-07,
282
+ "total": 2.7287975566046934e-07
283
+ },
284
+ "efficiency": {
285
+ "unit": "samples/kWh",
286
+ "value": 3664617.7638924965
287
+ }
288
+ }
289
+ }
290
+ }