IlyasMoutawwakil HF staff commited on
Commit
6afb0dc
·
verified ·
1 Parent(s): 8b4f35f

Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/file.json with huggingface_hub

Browse files
cuda_inference_transformers_image-classification_google/vit-base-patch16-224/file.json ADDED
@@ -0,0 +1,312 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config": {
3
+ "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
4
+ "backend": {
5
+ "name": "pytorch",
6
+ "version": "2.2.2",
7
+ "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "task": "image-classification",
9
+ "model": "google/vit-base-patch16-224",
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-5.10.214-202.855.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": 904.64256,
108
+ "max_global_vram": 1057.488896,
109
+ "max_process_vram": 0.0,
110
+ "max_reserved": 406.847488,
111
+ "max_allocated": 364.432384
112
+ },
113
+ "latency": {
114
+ "unit": "s",
115
+ "count": 169,
116
+ "total": 0.995434849739075,
117
+ "mean": 0.0058901470398761814,
118
+ "stdev": 0.0002672380576739546,
119
+ "p50": 0.005928959846496582,
120
+ "p90": 0.006132121753692627,
121
+ "p95": 0.006424575901031494,
122
+ "p99": 0.006725652408599853,
123
+ "values": [
124
+ 0.006331391811370849,
125
+ 0.006081535816192627,
126
+ 0.00609388780593872,
127
+ 0.006128640174865723,
128
+ 0.006146048069000244,
129
+ 0.006072319984436035,
130
+ 0.006139904022216797,
131
+ 0.0061931519508361815,
132
+ 0.0060590081214904785,
133
+ 0.0060897917747497554,
134
+ 0.006051839828491211,
135
+ 0.0061931519508361815,
136
+ 0.006067200183868408,
137
+ 0.005976064205169678,
138
+ 0.00607539176940918,
139
+ 0.005917695999145508,
140
+ 0.005955584049224853,
141
+ 0.005915647983551026,
142
+ 0.005985280036926269,
143
+ 0.005988319873809814,
144
+ 0.006052864074707031,
145
+ 0.006045695781707764,
146
+ 0.006106175899505615,
147
+ 0.006065152168273926,
148
+ 0.006049791812896729,
149
+ 0.0059391999244689945,
150
+ 0.006004735946655273,
151
+ 0.0059699201583862304,
152
+ 0.006060031890869141,
153
+ 0.006017024040222168,
154
+ 0.005982272148132324,
155
+ 0.006030335903167725,
156
+ 0.006039552211761475,
157
+ 0.005997568130493164,
158
+ 0.00601801586151123,
159
+ 0.005989376068115234,
160
+ 0.006032383918762207,
161
+ 0.0062197761535644535,
162
+ 0.0059556479454040525,
163
+ 0.005941247940063477,
164
+ 0.0065372161865234375,
165
+ 0.006696959972381592,
166
+ 0.0069407038688659665,
167
+ 0.005883903980255127,
168
+ 0.005975039958953857,
169
+ 0.005992447853088379,
170
+ 0.005991424083709717,
171
+ 0.005997568130493164,
172
+ 0.006054912090301514,
173
+ 0.006001664161682129,
174
+ 0.006051839828491211,
175
+ 0.0060293121337890625,
176
+ 0.006031360149383545,
177
+ 0.005946368217468262,
178
+ 0.0067010560035705566,
179
+ 0.005983232021331787,
180
+ 0.006137856006622314,
181
+ 0.006415359973907471,
182
+ 0.00643071985244751,
183
+ 0.006037504196166992,
184
+ 0.005910528182983398,
185
+ 0.005956607818603516,
186
+ 0.005955584049224853,
187
+ 0.0059955201148986816,
188
+ 0.005952511787414551,
189
+ 0.006097919940948486,
190
+ 0.0059391999244689945,
191
+ 0.005928959846496582,
192
+ 0.006130688190460205,
193
+ 0.006007808208465576,
194
+ 0.005925888061523437,
195
+ 0.005963776111602783,
196
+ 0.005993472099304199,
197
+ 0.005954592227935791,
198
+ 0.005914624214172363,
199
+ 0.006021120071411133,
200
+ 0.00601801586151123,
201
+ 0.006054912090301514,
202
+ 0.006044672012329101,
203
+ 0.0060405759811401364,
204
+ 0.005979135990142822,
205
+ 0.006008831977844238,
206
+ 0.005946368217468262,
207
+ 0.006011903762817383,
208
+ 0.005847040176391601,
209
+ 0.005990399837493897,
210
+ 0.005911551952362061,
211
+ 0.00591974401473999,
212
+ 0.005818367958068848,
213
+ 0.0058039999008178715,
214
+ 0.005800000190734863,
215
+ 0.005973055839538575,
216
+ 0.005788671970367432,
217
+ 0.005626880168914795,
218
+ 0.0056258559226989744,
219
+ 0.0057077760696411135,
220
+ 0.005756927967071533,
221
+ 0.0057825279235839844,
222
+ 0.005823488235473633,
223
+ 0.005775360107421875,
224
+ 0.005900288105010986,
225
+ 0.005953536033630371,
226
+ 0.006777919769287109,
227
+ 0.006627327919006347,
228
+ 0.0065413122177124024,
229
+ 0.006533120155334473,
230
+ 0.0057149438858032225,
231
+ 0.005634047985076904,
232
+ 0.00568012809753418,
233
+ 0.005710847854614258,
234
+ 0.0056145920753479005,
235
+ 0.005641215801239013,
236
+ 0.005662720203399658,
237
+ 0.005610496044158936,
238
+ 0.005640192031860352,
239
+ 0.00566374397277832,
240
+ 0.005628928184509278,
241
+ 0.005591040134429932,
242
+ 0.005596159934997558,
243
+ 0.005627903938293457,
244
+ 0.00561356782913208,
245
+ 0.005626880168914795,
246
+ 0.005599232196807862,
247
+ 0.005659647941589355,
248
+ 0.005642240047454834,
249
+ 0.005620736122131348,
250
+ 0.005616640090942383,
251
+ 0.0056258559226989744,
252
+ 0.005618688106536865,
253
+ 0.005627903938293457,
254
+ 0.005604320049285889,
255
+ 0.005623807907104492,
256
+ 0.005615615844726562,
257
+ 0.005635072231292724,
258
+ 0.005609471797943116,
259
+ 0.005584832191467285,
260
+ 0.005641215801239013,
261
+ 0.005612576007843017,
262
+ 0.005631008148193359,
263
+ 0.005617663860321045,
264
+ 0.005633024215698243,
265
+ 0.005699584007263184,
266
+ 0.005607359886169434,
267
+ 0.005626880168914795,
268
+ 0.005606400012969971,
269
+ 0.00561356782913208,
270
+ 0.005643263816833496,
271
+ 0.005637119770050049,
272
+ 0.005616640090942383,
273
+ 0.005608448028564453,
274
+ 0.0056442880630493165,
275
+ 0.00562278413772583,
276
+ 0.005599232196807862,
277
+ 0.005620736122131348,
278
+ 0.005610496044158936,
279
+ 0.0056217598915100095,
280
+ 0.00561356782913208,
281
+ 0.005610496044158936,
282
+ 0.005659647941589355,
283
+ 0.005667840003967285,
284
+ 0.005629951953887939,
285
+ 0.005616640090942383,
286
+ 0.005637119770050049,
287
+ 0.005636096000671387,
288
+ 0.0056442880630493165,
289
+ 0.0056217598915100095,
290
+ 0.005595136165618897,
291
+ 0.005599232196807862,
292
+ 0.005594111919403076
293
+ ]
294
+ },
295
+ "throughput": {
296
+ "unit": "samples/s",
297
+ "value": 169.7750486074489
298
+ },
299
+ "energy": {
300
+ "unit": "kWh",
301
+ "cpu": 6.491535981640935e-08,
302
+ "ram": 3.5490031235089874e-08,
303
+ "gpu": 3.6680964378142444e-07,
304
+ "total": 4.6721503483292366e-07
305
+ },
306
+ "efficiency": {
307
+ "unit": "samples/kWh",
308
+ "value": 2140342.0811524196
309
+ }
310
+ }
311
+ }
312
+ }