IlyasMoutawwakil HF staff commited on
Commit
ac1bdf0
1 Parent(s): 03822da

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

Browse files
cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json ADDED
@@ -0,0 +1,277 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+rocm5.7",
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": false,
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 7763 64-Core Processor",
75
+ "cpu_count": 128,
76
+ "cpu_ram_mb": 1082015.236096,
77
+ "system": "Linux",
78
+ "machine": "x86_64",
79
+ "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
80
+ "processor": "x86_64",
81
+ "python_version": "3.10.12",
82
+ "gpu": [
83
+ "Advanced Micro Devices, Inc. [AMD/ATI]"
84
+ ],
85
+ "gpu_count": 1,
86
+ "gpu_vram_mb": 68702699520,
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": "0.30.1",
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": 1062.670336,
108
+ "max_global_vram": 778.469376,
109
+ "max_process_vram": 209335.001088,
110
+ "max_reserved": 406.847488,
111
+ "max_allocated": 355.912704
112
+ },
113
+ "latency": {
114
+ "unit": "s",
115
+ "count": 143,
116
+ "total": 0.9990407528877254,
117
+ "mean": 0.006986298971242837,
118
+ "stdev": 0.0001443188814090477,
119
+ "p50": 0.006934846878051758,
120
+ "p90": 0.007149181747436523,
121
+ "p95": 0.007313628101348877,
122
+ "p99": 0.007505675249099732,
123
+ "values": [
124
+ 0.006942845821380615,
125
+ 0.007180604934692383,
126
+ 0.007111485004425049,
127
+ 0.0073497238159179685,
128
+ 0.007481083869934082,
129
+ 0.00752348279953003,
130
+ 0.007455644130706787,
131
+ 0.007475004196166992,
132
+ 0.007381723880767822,
133
+ 0.007321084022521972,
134
+ 0.007548762798309326,
135
+ 0.007246524810791016,
136
+ 0.0071033258438110355,
137
+ 0.007045566082000732,
138
+ 0.007053246021270752,
139
+ 0.006943486213684082,
140
+ 0.006884127140045166,
141
+ 0.006886847019195556,
142
+ 0.006859167098999024,
143
+ 0.006889246940612793,
144
+ 0.006915326118469238,
145
+ 0.006969245910644531,
146
+ 0.006926365852355957,
147
+ 0.006936446189880371,
148
+ 0.006874046802520752,
149
+ 0.006913725852966309,
150
+ 0.006844606876373291,
151
+ 0.0069386868476867675,
152
+ 0.006914525985717773,
153
+ 0.006893246173858642,
154
+ 0.006950205802917481,
155
+ 0.00695948600769043,
156
+ 0.006927486896514893,
157
+ 0.006968286991119385,
158
+ 0.006970046997070312,
159
+ 0.00697516679763794,
160
+ 0.006980125904083252,
161
+ 0.0069804458618164065,
162
+ 0.006936286926269531,
163
+ 0.006927486896514893,
164
+ 0.006871325969696045,
165
+ 0.006905726909637451,
166
+ 0.006955326080322266,
167
+ 0.006953566074371338,
168
+ 0.006881566047668457,
169
+ 0.0069706859588623046,
170
+ 0.006882846832275391,
171
+ 0.006891646862030029,
172
+ 0.006857087135314941,
173
+ 0.006958207130432129,
174
+ 0.006931807041168213,
175
+ 0.0069130859375,
176
+ 0.0069130859375,
177
+ 0.006920445919036866,
178
+ 0.006903807163238526,
179
+ 0.006994845867156982,
180
+ 0.00696908712387085,
181
+ 0.006927166938781738,
182
+ 0.006939645767211914,
183
+ 0.006991806030273437,
184
+ 0.00690540599822998,
185
+ 0.006910366058349609,
186
+ 0.006935006141662598,
187
+ 0.006928606986999512,
188
+ 0.006905887126922607,
189
+ 0.006901725769042969,
190
+ 0.006863966941833496,
191
+ 0.006896286964416504,
192
+ 0.00695996618270874,
193
+ 0.007136925220489502,
194
+ 0.007140604972839355,
195
+ 0.00717148494720459,
196
+ 0.007081884860992432,
197
+ 0.007000606060028076,
198
+ 0.007147005081176758,
199
+ 0.007090365886688233,
200
+ 0.007124125957489014,
201
+ 0.00711084508895874,
202
+ 0.0070540461540222164,
203
+ 0.007067485809326172,
204
+ 0.007103324890136719,
205
+ 0.007208765029907227,
206
+ 0.007125085830688477,
207
+ 0.007149725914001465,
208
+ 0.007080605983734131,
209
+ 0.007035165786743164,
210
+ 0.007005886077880859,
211
+ 0.006896286964416504,
212
+ 0.006956285953521728,
213
+ 0.006862686157226562,
214
+ 0.006885087013244629,
215
+ 0.006934045791625976,
216
+ 0.006912605762481689,
217
+ 0.006877087116241455,
218
+ 0.006843007087707519,
219
+ 0.006908445835113525,
220
+ 0.006909566879272461,
221
+ 0.006879967212677002,
222
+ 0.006884925842285157,
223
+ 0.007120766162872314,
224
+ 0.0071666851043701175,
225
+ 0.00717420482635498,
226
+ 0.007039004802703857,
227
+ 0.006972445964813233,
228
+ 0.006934846878051758,
229
+ 0.006939486980438232,
230
+ 0.006928926944732666,
231
+ 0.006963645935058594,
232
+ 0.0069663658142089845,
233
+ 0.006972286224365234,
234
+ 0.00694364595413208,
235
+ 0.0069138860702514645,
236
+ 0.006944126129150391,
237
+ 0.006881086826324463,
238
+ 0.006894365787506103,
239
+ 0.006926846027374267,
240
+ 0.006875967025756836,
241
+ 0.0068996472358703615,
242
+ 0.0068814058303833005,
243
+ 0.006894207000732422,
244
+ 0.006886846065521241,
245
+ 0.00689212703704834,
246
+ 0.006879167079925537,
247
+ 0.007129724979400635,
248
+ 0.007118205070495606,
249
+ 0.0071254057884216305,
250
+ 0.006903326988220214,
251
+ 0.006890845775604248,
252
+ 0.006922206878662109,
253
+ 0.006946207046508789,
254
+ 0.006916767120361328,
255
+ 0.006866846084594726,
256
+ 0.0068623671531677245,
257
+ 0.0068497262001037595,
258
+ 0.006874046802520752,
259
+ 0.0068759660720825195,
260
+ 0.006901247024536133,
261
+ 0.006893086910247803,
262
+ 0.006881246089935303,
263
+ 0.006918207168579101,
264
+ 0.006835165977478027,
265
+ 0.006860126972198486,
266
+ 0.006869886875152588
267
+ ]
268
+ },
269
+ "throughput": {
270
+ "unit": "samples/s",
271
+ "value": 143.13730404556443
272
+ },
273
+ "energy": null,
274
+ "efficiency": null
275
+ }
276
+ }
277
+ }