IlyasMoutawwakil HF Staff commited on
Commit
5e23e78
·
verified ·
1 Parent(s): 1cf9382

Upload cuda_inference_timm_image-classification_timm/tiny_vit_21m_224.in1k/benchmark.json with huggingface_hub

Browse files
cuda_inference_timm_image-classification_timm/tiny_vit_21m_224.in1k/benchmark.json CHANGED
@@ -5,13 +5,13 @@
5
  "name": "pytorch",
6
  "version": "2.3.1+rocm5.7",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
 
 
8
  "task": "image-classification",
9
  "library": "timm",
10
  "model_type": "tiny_vit_21m_224",
11
- "model": "timm/tiny_vit_21m_224.in1k",
12
- "processor": "timm/tiny_vit_21m_224.in1k",
13
  "device": "cuda",
14
- "device_ids": "6",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
@@ -25,6 +25,7 @@
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,
@@ -73,10 +74,10 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 128,
76
- "cpu_ram_mb": 1082014.490624,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
- "platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.12",
82
  "gpu": [
@@ -91,19 +92,19 @@
91
  ],
92
  "gpu_count": 8,
93
  "gpu_vram_mb": 549621596160,
94
- "optimum_benchmark_version": "0.5.0.dev0",
95
  "optimum_benchmark_commit": null,
96
- "transformers_version": "4.47.0",
97
  "transformers_commit": null,
98
- "accelerate_version": "1.2.0",
99
  "accelerate_commit": null,
100
- "diffusers_version": "0.31.0",
101
  "diffusers_commit": null,
102
  "optimum_version": null,
103
  "optimum_commit": null,
104
- "timm_version": "1.0.12",
105
  "timm_commit": null,
106
- "peft_version": "0.14.0",
107
  "peft_commit": null
108
  },
109
  "print_report": true,
@@ -113,24 +114,52 @@
113
  "load_model": {
114
  "memory": {
115
  "unit": "MB",
116
- "max_ram": 1128.722432,
117
  "max_global_vram": 68702.69952,
118
- "max_process_vram": 28652.814336,
119
  "max_reserved": 96.468992,
120
  "max_allocated": 87.191552
121
  },
122
  "latency": {
123
  "unit": "s",
124
  "values": [
125
- 2.88696533203125
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
126
  ],
127
  "count": 1,
128
- "total": 2.88696533203125,
129
- "mean": 2.88696533203125,
130
- "p50": 2.88696533203125,
131
- "p90": 2.88696533203125,
132
- "p95": 2.88696533203125,
133
- "p99": 2.88696533203125,
134
  "stdev": 0,
135
  "stdev_": 0
136
  },
@@ -141,124 +170,117 @@
141
  "forward": {
142
  "memory": {
143
  "unit": "MB",
144
- "max_ram": 1252.696064,
145
  "max_global_vram": 68702.69952,
146
- "max_process_vram": 95709.745152,
147
  "max_reserved": 144.703488,
148
  "max_allocated": 122.11712
149
  },
150
  "latency": {
151
  "unit": "s",
152
  "values": [
153
- 0.011029770851135254,
154
- 0.010474729537963866,
155
- 0.010540010452270508,
156
- 0.010222570419311523,
157
- 0.010732331275939942,
158
- 0.010288649559020997,
159
- 0.010417929649353027,
160
- 0.010133930206298828,
161
- 0.010152329444885254,
162
- 0.010671530723571777,
163
- 0.016739856719970702,
164
- 0.009705449104309082,
165
- 0.011082250595092774,
166
- 0.011254891395568848,
167
- 0.011340810775756835,
168
- 0.011326571464538575,
169
- 0.010821290016174316,
170
- 0.010563050270080566,
171
- 0.01088928985595703,
172
- 0.01067216968536377,
173
- 0.011268171310424804,
174
- 0.011281291007995605,
175
- 0.011254891395568848,
176
- 0.011258891105651855,
177
- 0.011306571006774903,
178
- 0.011276651382446289,
179
- 0.01129313087463379,
180
- 0.010969929695129395,
181
- 0.010609130859375,
182
- 0.010724329948425293,
183
- 0.010294730186462403,
184
- 0.010727370262145996,
185
- 0.011095850944519044,
186
- 0.011254410743713378,
187
- 0.010447050094604492,
188
- 0.010827851295471192,
189
- 0.01049680995941162,
190
- 0.010460169792175292,
191
- 0.010618729591369629,
192
- 0.01044336986541748,
193
- 0.010499850273132324,
194
- 0.0105643310546875,
195
- 0.010423049926757813,
196
- 0.010576809883117676,
197
- 0.010403050422668456,
198
- 0.009954569816589355,
199
- 0.009954729080200196,
200
- 0.010006090164184571,
201
- 0.010030890464782715,
202
- 0.016269775390625,
203
- 0.0055208058357238765,
204
- 0.010064168930053711,
205
- 0.009992970466613769,
206
- 0.009908969879150391,
207
- 0.0099260892868042,
208
- 0.01004928970336914,
209
- 0.00992864990234375,
210
- 0.010012648582458495,
211
- 0.009975210189819336,
212
- 0.010003210067749024,
213
- 0.010004328727722169,
214
- 0.010229129791259766,
215
- 0.009955530166625976,
216
- 0.009942728996276856,
217
- 0.010168808937072754,
218
- 0.010201290130615234,
219
- 0.01002256965637207,
220
- 0.009976329803466797,
221
- 0.009939369201660156,
222
- 0.01003009033203125,
223
- 0.00996160888671875,
224
- 0.010005449295043945,
225
- 0.01000944995880127,
226
- 0.010007049560546875,
227
- 0.010009928703308106,
228
- 0.009994409561157226,
229
- 0.02222610092163086,
230
- 0.006665287017822266,
231
- 0.01003408908843994,
232
- 0.009951528549194335,
233
- 0.009941289901733399,
234
- 0.009904969215393066,
235
- 0.009933770179748535,
236
- 0.00992689037322998,
237
- 0.009934728622436523,
238
- 0.010060970306396484,
239
- 0.009929768562316895,
240
- 0.009941609382629394,
241
- 0.009975209236145019,
242
- 0.00991952896118164,
243
- 0.009929929733276367,
244
- 0.010075690269470215,
245
- 0.010319049835205079,
246
- 0.009952488899230958,
247
- 0.010123529434204102
248
  ],
249
- "count": 95,
250
- "total": 1.0002384028434752,
251
- "mean": 0.010528825293089213,
252
- "p50": 0.010168808937072754,
253
- "p90": 0.011264459228515624,
254
- "p95": 0.011312571144104005,
255
- "p99": 0.017069031372070324,
256
- "stdev": 0.001687486651141811,
257
- "stdev_": 16.027302231422
258
  },
259
  "throughput": {
260
  "unit": "samples/s",
261
- "value": 189.95471425598984
262
  },
263
  "energy": null,
264
  "efficiency": null
 
5
  "name": "pytorch",
6
  "version": "2.3.1+rocm5.7",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
+ "model": "timm/tiny_vit_21m_224.in1k",
9
+ "processor": "timm/tiny_vit_21m_224.in1k",
10
  "task": "image-classification",
11
  "library": "timm",
12
  "model_type": "tiny_vit_21m_224",
 
 
13
  "device": "cuda",
14
+ "device_ids": "4",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
 
25
  "low_cpu_mem_usage": null,
26
  "attn_implementation": null,
27
  "cache_implementation": null,
28
+ "allow_tf32": false,
29
  "autocast_enabled": false,
30
  "autocast_dtype": null,
31
  "torch_compile": false,
 
74
  "environment": {
75
  "cpu": " AMD EPYC 7763 64-Core Processor",
76
  "cpu_count": 128,
77
+ "cpu_ram_mb": 1082014.486528,
78
  "system": "Linux",
79
  "machine": "x86_64",
80
+ "platform": "Linux-5.15.0-131-generic-x86_64-with-glibc2.35",
81
  "processor": "x86_64",
82
  "python_version": "3.10.12",
83
  "gpu": [
 
92
  ],
93
  "gpu_count": 8,
94
  "gpu_vram_mb": 549621596160,
95
+ "optimum_benchmark_version": "0.6.0.dev0",
96
  "optimum_benchmark_commit": null,
97
+ "transformers_version": "4.51.3",
98
  "transformers_commit": null,
99
+ "accelerate_version": "1.6.0",
100
  "accelerate_commit": null,
101
+ "diffusers_version": "0.33.1",
102
  "diffusers_commit": null,
103
  "optimum_version": null,
104
  "optimum_commit": null,
105
+ "timm_version": "1.0.15",
106
  "timm_commit": null,
107
+ "peft_version": "0.15.2",
108
  "peft_commit": null
109
  },
110
  "print_report": true,
 
114
  "load_model": {
115
  "memory": {
116
  "unit": "MB",
117
+ "max_ram": 1144.131584,
118
  "max_global_vram": 68702.69952,
119
+ "max_process_vram": 28574.380032,
120
  "max_reserved": 96.468992,
121
  "max_allocated": 87.191552
122
  },
123
  "latency": {
124
  "unit": "s",
125
  "values": [
126
+ 2.711353515625
127
+ ],
128
+ "count": 1,
129
+ "total": 2.711353515625,
130
+ "mean": 2.711353515625,
131
+ "p50": 2.711353515625,
132
+ "p90": 2.711353515625,
133
+ "p95": 2.711353515625,
134
+ "p99": 2.711353515625,
135
+ "stdev": 0,
136
+ "stdev_": 0
137
+ },
138
+ "throughput": null,
139
+ "energy": null,
140
+ "efficiency": null
141
+ },
142
+ "first_forward": {
143
+ "memory": {
144
+ "unit": "MB",
145
+ "max_ram": 1995.83744,
146
+ "max_global_vram": 68702.69952,
147
+ "max_process_vram": 115844.54656,
148
+ "max_reserved": 182.452224,
149
+ "max_allocated": 154.112
150
+ },
151
+ "latency": {
152
+ "unit": "s",
153
+ "values": [
154
+ 2.3996025390625
155
  ],
156
  "count": 1,
157
+ "total": 2.3996025390625,
158
+ "mean": 2.3996025390625,
159
+ "p50": 2.3996025390625,
160
+ "p90": 2.3996025390625,
161
+ "p95": 2.3996025390625,
162
+ "p99": 2.3996025390625,
163
  "stdev": 0,
164
  "stdev_": 0
165
  },
 
170
  "forward": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 1995.526144,
174
  "max_global_vram": 68702.69952,
175
+ "max_process_vram": 122946.048,
176
  "max_reserved": 144.703488,
177
  "max_allocated": 122.11712
178
  },
179
  "latency": {
180
  "unit": "s",
181
  "values": [
182
+ 0.01130253791809082,
183
+ 0.011227177619934083,
184
+ 0.01112957763671875,
185
+ 0.01123437786102295,
186
+ 0.011252138137817383,
187
+ 0.011285737991333008,
188
+ 0.011254697799682618,
189
+ 0.011202057838439942,
190
+ 0.011222537994384765,
191
+ 0.011266378402709961,
192
+ 0.011276618003845214,
193
+ 0.011296297073364258,
194
+ 0.01127581787109375,
195
+ 0.011316938400268555,
196
+ 0.011236618041992188,
197
+ 0.011286538124084472,
198
+ 0.011319177627563477,
199
+ 0.011259818077087402,
200
+ 0.015565889358520508,
201
+ 0.01158653736114502,
202
+ 0.011249897956848144,
203
+ 0.011236778259277344,
204
+ 0.011316617965698243,
205
+ 0.011264457702636718,
206
+ 0.011285417556762696,
207
+ 0.011304938316345214,
208
+ 0.011291976928710937,
209
+ 0.011278377532958985,
210
+ 0.011307658195495606,
211
+ 0.011740297317504882,
212
+ 0.01134349822998047,
213
+ 0.011304778099060058,
214
+ 0.01128797721862793,
215
+ 0.011309417724609375,
216
+ 0.011303017616271973,
217
+ 0.011304938316345214,
218
+ 0.011235017776489258,
219
+ 0.01122941780090332,
220
+ 0.011237257957458497,
221
+ 0.011359976768493653,
222
+ 0.011293257713317871,
223
+ 0.011464458465576172,
224
+ 0.011338376998901367,
225
+ 0.01127421760559082,
226
+ 0.011212617874145507,
227
+ 0.01127917766571045,
228
+ 0.011182698249816894,
229
+ 0.01117757797241211,
230
+ 0.011233577728271485,
231
+ 0.011186058044433594,
232
+ 0.011197257995605468,
233
+ 0.011269577980041504,
234
+ 0.011273898124694825,
235
+ 0.011395977973937989,
236
+ 0.011294217109680175,
237
+ 0.01131629753112793,
238
+ 0.01125341796875,
239
+ 0.011230217933654784,
240
+ 0.01123533821105957,
241
+ 0.011296137809753418,
242
+ 0.011252778053283691,
243
+ 0.011226858139038086,
244
+ 0.01124797821044922,
245
+ 0.01161069679260254,
246
+ 0.011295337677001954,
247
+ 0.01974683952331543,
248
+ 0.006257267951965332,
249
+ 0.01130749797821045,
250
+ 0.011389257431030274,
251
+ 0.011316938400268555,
252
+ 0.011282697677612304,
253
+ 0.01128685760498047,
254
+ 0.011288618087768555,
255
+ 0.011252778053283691,
256
+ 0.011273576736450195,
257
+ 0.011298377990722657,
258
+ 0.020473560333251952,
259
+ 0.005727509021759033,
260
+ 0.0112086181640625,
261
+ 0.011265257835388183,
262
+ 0.011330058097839355,
263
+ 0.011384297370910644,
264
+ 0.01134797763824463,
265
+ 0.011337098121643066,
266
+ 0.011296777725219727,
267
+ 0.011299177169799805,
268
+ 0.011221257209777832,
269
+ 0.011205258369445801
 
 
 
 
 
 
 
270
  ],
271
+ "count": 88,
272
+ "total": 1.0048247447013856,
273
+ "mean": 0.011418463007970291,
274
+ "p50": 0.0112840576171875,
275
+ "p90": 0.011385785388946534,
276
+ "p95": 0.011602240991592407,
277
+ "p99": 0.019841313228607174,
278
+ "stdev": 0.0016152354930416238,
279
+ "stdev_": 14.145822357301158
280
  },
281
  "throughput": {
282
  "unit": "samples/s",
283
+ "value": 175.1549222171114
284
  },
285
  "energy": null,
286
  "efficiency": null