Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
|
| 4 |
"backend": {
|
| 5 |
"name": "pytorch",
|
| 6 |
-
"version": "2.
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "fill-mask",
|
| 9 |
"library": "transformers",
|
|
@@ -111,24 +111,24 @@
|
|
| 111 |
"load": {
|
| 112 |
"memory": {
|
| 113 |
"unit": "MB",
|
| 114 |
-
"max_ram":
|
| 115 |
-
"max_global_vram":
|
| 116 |
-
"max_process_vram":
|
| 117 |
"max_reserved": 589.299712,
|
| 118 |
"max_allocated": 533.571072
|
| 119 |
},
|
| 120 |
"latency": {
|
| 121 |
"unit": "s",
|
| 122 |
"count": 1,
|
| 123 |
-
"total": 7.
|
| 124 |
-
"mean": 7.
|
| 125 |
"stdev": 0.0,
|
| 126 |
-
"p50": 7.
|
| 127 |
-
"p90": 7.
|
| 128 |
-
"p95": 7.
|
| 129 |
-
"p99": 7.
|
| 130 |
"values": [
|
| 131 |
-
7.
|
| 132 |
]
|
| 133 |
},
|
| 134 |
"throughput": null,
|
|
@@ -138,169 +138,178 @@
|
|
| 138 |
"forward": {
|
| 139 |
"memory": {
|
| 140 |
"unit": "MB",
|
| 141 |
-
"max_ram":
|
| 142 |
-
"max_global_vram":
|
| 143 |
-
"max_process_vram":
|
| 144 |
"max_reserved": 589.299712,
|
| 145 |
"max_allocated": 439.456768
|
| 146 |
},
|
| 147 |
"latency": {
|
| 148 |
"unit": "s",
|
| 149 |
-
"count":
|
| 150 |
-
"total": 1.
|
| 151 |
-
"mean": 0.
|
| 152 |
-
"stdev": 0.
|
| 153 |
-
"p50": 0.
|
| 154 |
-
"p90": 0.
|
| 155 |
-
"p95": 0.
|
| 156 |
-
"p99": 0.
|
| 157 |
"values": [
|
| 158 |
-
0.
|
| 159 |
-
0.
|
| 160 |
-
0.
|
| 161 |
-
0.
|
| 162 |
-
0.
|
| 163 |
-
0.
|
| 164 |
-
0.
|
| 165 |
-
0.
|
| 166 |
-
0.
|
| 167 |
-
0.
|
| 168 |
-
0.
|
| 169 |
-
0.
|
| 170 |
-
0.
|
| 171 |
-
0.
|
| 172 |
-
0.
|
| 173 |
-
0.
|
| 174 |
-
0.
|
| 175 |
-
0.
|
| 176 |
-
0.
|
| 177 |
-
0.
|
| 178 |
-
0.
|
| 179 |
-
0.
|
| 180 |
-
0.
|
| 181 |
-
0.
|
| 182 |
-
0.
|
| 183 |
-
0.
|
| 184 |
-
0.
|
| 185 |
-
0.
|
| 186 |
-
0.
|
| 187 |
-
0.
|
| 188 |
-
0.
|
| 189 |
-
0.
|
| 190 |
-
0.
|
| 191 |
-
0.
|
| 192 |
-
0.
|
| 193 |
-
0.
|
| 194 |
-
0.
|
| 195 |
-
0.
|
| 196 |
-
0.
|
| 197 |
-
0.
|
| 198 |
-
0.
|
| 199 |
-
0.
|
| 200 |
-
0.
|
| 201 |
-
0.
|
| 202 |
-
0.
|
| 203 |
-
0.
|
| 204 |
-
0.
|
| 205 |
-
0.
|
| 206 |
-
0.
|
| 207 |
-
0.
|
| 208 |
-
0.
|
| 209 |
-
0.
|
| 210 |
-
0.
|
| 211 |
-
0.
|
| 212 |
-
0.
|
| 213 |
-
0.
|
| 214 |
-
0.
|
| 215 |
-
0.
|
| 216 |
-
0.
|
| 217 |
-
0.
|
| 218 |
-
0.
|
| 219 |
-
0.
|
| 220 |
-
0.
|
| 221 |
-
0.
|
| 222 |
-
0.
|
| 223 |
-
0.
|
| 224 |
-
0.
|
| 225 |
-
0.
|
| 226 |
-
0.
|
| 227 |
-
0.
|
| 228 |
-
0.
|
| 229 |
-
0.
|
| 230 |
-
0.
|
| 231 |
-
0.
|
| 232 |
-
0.
|
| 233 |
-
0.
|
| 234 |
-
0.
|
| 235 |
-
0.
|
| 236 |
-
0.
|
| 237 |
-
0.
|
| 238 |
-
0.
|
| 239 |
-
0.
|
| 240 |
-
0.
|
| 241 |
-
0.
|
| 242 |
-
0.
|
| 243 |
-
0.
|
| 244 |
-
0.
|
| 245 |
-
0.
|
| 246 |
-
0.
|
| 247 |
-
0.
|
| 248 |
-
0.
|
| 249 |
-
0.
|
| 250 |
-
0.
|
| 251 |
-
0.
|
| 252 |
-
0.
|
| 253 |
-
0.
|
| 254 |
-
0.
|
| 255 |
-
0.
|
| 256 |
-
0.
|
| 257 |
-
0.
|
| 258 |
-
0.
|
| 259 |
-
0.
|
| 260 |
-
0.
|
| 261 |
-
0.
|
| 262 |
-
0.
|
| 263 |
-
0.
|
| 264 |
-
0.
|
| 265 |
-
0.
|
| 266 |
-
0.
|
| 267 |
-
0.
|
| 268 |
-
0.
|
| 269 |
-
0.
|
| 270 |
-
0.
|
| 271 |
-
0.
|
| 272 |
-
0.
|
| 273 |
-
0.
|
| 274 |
-
0.
|
| 275 |
-
0.
|
| 276 |
-
0.
|
| 277 |
-
0.
|
| 278 |
-
0.
|
| 279 |
-
0.
|
| 280 |
-
0.
|
| 281 |
-
0.
|
| 282 |
-
0.
|
| 283 |
-
0.
|
| 284 |
-
0.
|
| 285 |
-
0.
|
| 286 |
-
0.
|
| 287 |
-
0.
|
| 288 |
-
0.
|
| 289 |
-
0.
|
| 290 |
-
0.
|
| 291 |
-
0.
|
| 292 |
-
0.
|
| 293 |
-
0.
|
| 294 |
-
0.
|
| 295 |
-
0.
|
| 296 |
-
0.
|
| 297 |
-
0.
|
| 298 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 299 |
]
|
| 300 |
},
|
| 301 |
"throughput": {
|
| 302 |
"unit": "samples/s",
|
| 303 |
-
"value":
|
| 304 |
},
|
| 305 |
"energy": null,
|
| 306 |
"efficiency": null
|
|
|
|
| 3 |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
|
| 4 |
"backend": {
|
| 5 |
"name": "pytorch",
|
| 6 |
+
"version": "2.4.0+rocm6.1",
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "fill-mask",
|
| 9 |
"library": "transformers",
|
|
|
|
| 111 |
"load": {
|
| 112 |
"memory": {
|
| 113 |
"unit": "MB",
|
| 114 |
+
"max_ram": 1384.79616,
|
| 115 |
+
"max_global_vram": 11.20256,
|
| 116 |
+
"max_process_vram": 0.0,
|
| 117 |
"max_reserved": 589.299712,
|
| 118 |
"max_allocated": 533.571072
|
| 119 |
},
|
| 120 |
"latency": {
|
| 121 |
"unit": "s",
|
| 122 |
"count": 1,
|
| 123 |
+
"total": 7.71164208984375,
|
| 124 |
+
"mean": 7.71164208984375,
|
| 125 |
"stdev": 0.0,
|
| 126 |
+
"p50": 7.71164208984375,
|
| 127 |
+
"p90": 7.71164208984375,
|
| 128 |
+
"p95": 7.71164208984375,
|
| 129 |
+
"p99": 7.71164208984375,
|
| 130 |
"values": [
|
| 131 |
+
7.71164208984375
|
| 132 |
]
|
| 133 |
},
|
| 134 |
"throughput": null,
|
|
|
|
| 138 |
"forward": {
|
| 139 |
"memory": {
|
| 140 |
"unit": "MB",
|
| 141 |
+
"max_ram": 1484.038144,
|
| 142 |
+
"max_global_vram": 11.264,
|
| 143 |
+
"max_process_vram": 0.0,
|
| 144 |
"max_reserved": 589.299712,
|
| 145 |
"max_allocated": 439.456768
|
| 146 |
},
|
| 147 |
"latency": {
|
| 148 |
"unit": "s",
|
| 149 |
+
"count": 150,
|
| 150 |
+
"total": 1.0043431382179258,
|
| 151 |
+
"mean": 0.006695620921452841,
|
| 152 |
+
"stdev": 0.001085625500033163,
|
| 153 |
+
"p50": 0.006451494932174682,
|
| 154 |
+
"p90": 0.0068565820693969725,
|
| 155 |
+
"p95": 0.007041421055793762,
|
| 156 |
+
"p99": 0.01252131572723383,
|
| 157 |
"values": [
|
| 158 |
+
0.007047973155975342,
|
| 159 |
+
0.00703341293334961,
|
| 160 |
+
0.0070025320053100585,
|
| 161 |
+
0.006885892868041992,
|
| 162 |
+
0.006869254112243653,
|
| 163 |
+
0.00689773416519165,
|
| 164 |
+
0.006820134162902832,
|
| 165 |
+
0.00678605318069458,
|
| 166 |
+
0.0067977337837219235,
|
| 167 |
+
0.0069692530632019046,
|
| 168 |
+
0.006730372905731201,
|
| 169 |
+
0.006716934204101563,
|
| 170 |
+
0.006666533946990967,
|
| 171 |
+
0.006640775203704834,
|
| 172 |
+
0.006665733814239502,
|
| 173 |
+
0.006659334182739258,
|
| 174 |
+
0.006585413932800293,
|
| 175 |
+
0.006589415073394775,
|
| 176 |
+
0.006602055072784424,
|
| 177 |
+
0.006569893836975098,
|
| 178 |
+
0.00658429479598999,
|
| 179 |
+
0.006663494110107422,
|
| 180 |
+
0.006590854167938232,
|
| 181 |
+
0.006609893798828125,
|
| 182 |
+
0.006572134971618652,
|
| 183 |
+
0.006550054073333741,
|
| 184 |
+
0.006561254978179932,
|
| 185 |
+
0.006567173957824707,
|
| 186 |
+
0.006570535182952881,
|
| 187 |
+
0.009346842765808105,
|
| 188 |
+
0.006748134136199951,
|
| 189 |
+
0.006403335094451904,
|
| 190 |
+
0.006395814895629882,
|
| 191 |
+
0.006500134944915772,
|
| 192 |
+
0.006439495086669922,
|
| 193 |
+
0.006610214233398437,
|
| 194 |
+
0.006697894096374512,
|
| 195 |
+
0.006402854919433594,
|
| 196 |
+
0.006452294826507568,
|
| 197 |
+
0.006412294864654541,
|
| 198 |
+
0.006373735904693603,
|
| 199 |
+
0.006417415142059326,
|
| 200 |
+
0.006621253967285156,
|
| 201 |
+
0.006372135162353515,
|
| 202 |
+
0.006374855041503907,
|
| 203 |
+
0.006372775077819824,
|
| 204 |
+
0.006399335861206054,
|
| 205 |
+
0.006631653785705566,
|
| 206 |
+
0.0064140548706054686,
|
| 207 |
+
0.006388454914093017,
|
| 208 |
+
0.006360935211181641,
|
| 209 |
+
0.00655581521987915,
|
| 210 |
+
0.00642973518371582,
|
| 211 |
+
0.006388615131378174,
|
| 212 |
+
0.006602374076843262,
|
| 213 |
+
0.006434374809265136,
|
| 214 |
+
0.006406374931335449,
|
| 215 |
+
0.006410695075988769,
|
| 216 |
+
0.00640061616897583,
|
| 217 |
+
0.006629414081573486,
|
| 218 |
+
0.006408774852752685,
|
| 219 |
+
0.0063761348724365235,
|
| 220 |
+
0.006454695224761963,
|
| 221 |
+
0.006454695224761963,
|
| 222 |
+
0.00660845422744751,
|
| 223 |
+
0.006432775020599365,
|
| 224 |
+
0.00642109489440918,
|
| 225 |
+
0.006432775020599365,
|
| 226 |
+
0.006450695037841797,
|
| 227 |
+
0.0064404549598693845,
|
| 228 |
+
0.006446215152740478,
|
| 229 |
+
0.006367975234985351,
|
| 230 |
+
0.006418535232543945,
|
| 231 |
+
0.0064441351890563965,
|
| 232 |
+
0.0064276552200317385,
|
| 233 |
+
0.0064233350753784176,
|
| 234 |
+
0.0063975749015808105,
|
| 235 |
+
0.006440774917602539,
|
| 236 |
+
0.006432935237884522,
|
| 237 |
+
0.006417415142059326,
|
| 238 |
+
0.015571299552917481,
|
| 239 |
+
0.006397415161132813,
|
| 240 |
+
0.0064134149551391606,
|
| 241 |
+
0.006438694953918457,
|
| 242 |
+
0.0064564552307128905,
|
| 243 |
+
0.006459014892578125,
|
| 244 |
+
0.00645981502532959,
|
| 245 |
+
0.0064140548706054686,
|
| 246 |
+
0.006423494815826416,
|
| 247 |
+
0.006665254116058349,
|
| 248 |
+
0.006750372886657715,
|
| 249 |
+
0.006855174064636231,
|
| 250 |
+
0.006814692974090576,
|
| 251 |
+
0.006503174781799317,
|
| 252 |
+
0.006452294826507568,
|
| 253 |
+
0.006429894924163819,
|
| 254 |
+
0.0064042949676513675,
|
| 255 |
+
0.006629414081573486,
|
| 256 |
+
0.006402375221252442,
|
| 257 |
+
0.006399815082550049,
|
| 258 |
+
0.006415016174316406,
|
| 259 |
+
0.006389894962310791,
|
| 260 |
+
0.006692934036254883,
|
| 261 |
+
0.006415335178375245,
|
| 262 |
+
0.006444455146789551,
|
| 263 |
+
0.0064282951354980465,
|
| 264 |
+
0.006400294780731201,
|
| 265 |
+
0.0063927750587463375,
|
| 266 |
+
0.006432455062866211,
|
| 267 |
+
0.006442695140838623,
|
| 268 |
+
0.006416775226593017,
|
| 269 |
+
0.006386374950408936,
|
| 270 |
+
0.006438374996185303,
|
| 271 |
+
0.006399014949798584,
|
| 272 |
+
0.006376935005187988,
|
| 273 |
+
0.006411334991455078,
|
| 274 |
+
0.006392615795135498,
|
| 275 |
+
0.006412934780120849,
|
| 276 |
+
0.006424135208129883,
|
| 277 |
+
0.006417415142059326,
|
| 278 |
+
0.006428774833679199,
|
| 279 |
+
0.006398055076599121,
|
| 280 |
+
0.006429574966430664,
|
| 281 |
+
0.0064281349182128905,
|
| 282 |
+
0.006588453769683838,
|
| 283 |
+
0.006729574203491211,
|
| 284 |
+
0.006640294075012207,
|
| 285 |
+
0.006628133773803711,
|
| 286 |
+
0.006422854900360107,
|
| 287 |
+
0.006398215770721436,
|
| 288 |
+
0.006415174961090088,
|
| 289 |
+
0.0064116549491882325,
|
| 290 |
+
0.006403174877166748,
|
| 291 |
+
0.01574617862701416,
|
| 292 |
+
0.006422854900360107,
|
| 293 |
+
0.006463014125823975,
|
| 294 |
+
0.006459175109863281,
|
| 295 |
+
0.0072943720817565914,
|
| 296 |
+
0.007261092185974121,
|
| 297 |
+
0.007268771171569825,
|
| 298 |
+
0.007325891971588135,
|
| 299 |
+
0.006927813053131103,
|
| 300 |
+
0.00680125379562378,
|
| 301 |
+
0.006604613780975342,
|
| 302 |
+
0.006809412956237793,
|
| 303 |
+
0.006827013969421387,
|
| 304 |
+
0.006634054183959961,
|
| 305 |
+
0.006853413105010986,
|
| 306 |
+
0.006851653099060059,
|
| 307 |
+
0.006702854156494141
|
| 308 |
]
|
| 309 |
},
|
| 310 |
"throughput": {
|
| 311 |
"unit": "samples/s",
|
| 312 |
+
"value": 149.3513464592939
|
| 313 |
},
|
| 314 |
"energy": null,
|
| 315 |
"efficiency": null
|