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
|
@@ -7,6 +7,7 @@
|
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "fill-mask",
|
| 9 |
"library": "transformers",
|
|
|
|
| 10 |
"model": "google-bert/bert-base-uncased",
|
| 11 |
"processor": "google-bert/bert-base-uncased",
|
| 12 |
"device": "cuda",
|
|
@@ -85,7 +86,7 @@
|
|
| 85 |
"gpu_count": 1,
|
| 86 |
"gpu_vram_mb": 68702699520,
|
| 87 |
"optimum_benchmark_version": "0.3.1",
|
| 88 |
-
"optimum_benchmark_commit": "
|
| 89 |
"transformers_version": "4.42.4",
|
| 90 |
"transformers_commit": null,
|
| 91 |
"accelerate_version": "0.32.1",
|
|
@@ -104,156 +105,165 @@
|
|
| 104 |
"forward": {
|
| 105 |
"memory": {
|
| 106 |
"unit": "MB",
|
| 107 |
-
"max_ram":
|
| 108 |
-
"max_global_vram": 938.
|
| 109 |
-
"max_process_vram":
|
| 110 |
"max_reserved": 589.299712,
|
| 111 |
"max_allocated": 439.6928
|
| 112 |
},
|
| 113 |
"latency": {
|
| 114 |
"unit": "s",
|
| 115 |
-
"count":
|
| 116 |
-
"total": 1.
|
| 117 |
-
"mean": 0.
|
| 118 |
-
"stdev": 0.
|
| 119 |
-
"p50": 0.
|
| 120 |
-
"p90": 0.
|
| 121 |
-
"p95": 0.
|
| 122 |
-
"p99": 0.
|
| 123 |
"values": [
|
| 124 |
-
0.
|
| 125 |
-
0.
|
| 126 |
-
0.
|
| 127 |
-
0.
|
| 128 |
-
0.
|
| 129 |
-
0.
|
| 130 |
-
0.
|
| 131 |
-
0.
|
| 132 |
-
0.
|
| 133 |
-
0.
|
| 134 |
-
0.
|
| 135 |
-
0.
|
| 136 |
-
0.
|
| 137 |
-
0.
|
| 138 |
-
0.
|
| 139 |
-
0.
|
| 140 |
-
0.
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
-
0.
|
| 145 |
-
0.
|
| 146 |
-
0.
|
| 147 |
-
0.
|
| 148 |
-
0.
|
| 149 |
-
0.
|
| 150 |
-
0.
|
| 151 |
-
0.
|
| 152 |
-
0.
|
| 153 |
-
0.
|
| 154 |
-
0.
|
| 155 |
-
0.
|
| 156 |
-
0.
|
| 157 |
-
0.
|
| 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 |
]
|
| 253 |
},
|
| 254 |
"throughput": {
|
| 255 |
"unit": "samples/s",
|
| 256 |
-
"value":
|
| 257 |
},
|
| 258 |
"energy": null,
|
| 259 |
"efficiency": null
|
|
|
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "fill-mask",
|
| 9 |
"library": "transformers",
|
| 10 |
+
"model_type": "bert",
|
| 11 |
"model": "google-bert/bert-base-uncased",
|
| 12 |
"processor": "google-bert/bert-base-uncased",
|
| 13 |
"device": "cuda",
|
|
|
|
| 86 |
"gpu_count": 1,
|
| 87 |
"gpu_vram_mb": 68702699520,
|
| 88 |
"optimum_benchmark_version": "0.3.1",
|
| 89 |
+
"optimum_benchmark_commit": "402644384abc46743e46dac65be6512bc68c9d92",
|
| 90 |
"transformers_version": "4.42.4",
|
| 91 |
"transformers_commit": null,
|
| 92 |
"accelerate_version": "0.32.1",
|
|
|
|
| 105 |
"forward": {
|
| 106 |
"memory": {
|
| 107 |
"unit": "MB",
|
| 108 |
+
"max_ram": 1010.958336,
|
| 109 |
+
"max_global_vram": 938.651648,
|
| 110 |
+
"max_process_vram": 144065.298432,
|
| 111 |
"max_reserved": 589.299712,
|
| 112 |
"max_allocated": 439.6928
|
| 113 |
},
|
| 114 |
"latency": {
|
| 115 |
"unit": "s",
|
| 116 |
+
"count": 137,
|
| 117 |
+
"total": 1.0019398589134216,
|
| 118 |
+
"mean": 0.007313429627105268,
|
| 119 |
+
"stdev": 0.00044252860680926026,
|
| 120 |
+
"p50": 0.007027021884918213,
|
| 121 |
+
"p90": 0.007897740173339843,
|
| 122 |
+
"p95": 0.007942476177215576,
|
| 123 |
+
"p99": 0.008180542907714843,
|
| 124 |
"values": [
|
| 125 |
+
0.008971016883850097,
|
| 126 |
+
0.008201739311218263,
|
| 127 |
+
0.008142860412597656,
|
| 128 |
+
0.00810525894165039,
|
| 129 |
+
0.008045260429382323,
|
| 130 |
+
0.007942220211029053,
|
| 131 |
+
0.007904139995574952,
|
| 132 |
+
0.00792110013961792,
|
| 133 |
+
0.007870220184326171,
|
| 134 |
+
0.007941259860992431,
|
| 135 |
+
0.00794350004196167,
|
| 136 |
+
0.007920458793640136,
|
| 137 |
+
0.007979979991912842,
|
| 138 |
+
0.007895500183105468,
|
| 139 |
+
0.007832940101623536,
|
| 140 |
+
0.007869740009307862,
|
| 141 |
+
0.007827980041503906,
|
| 142 |
+
0.007827499866485595,
|
| 143 |
+
0.007834060192108154,
|
| 144 |
+
0.007901100158691407,
|
| 145 |
+
0.007878699779510497,
|
| 146 |
+
0.007257262229919434,
|
| 147 |
+
0.006999182224273682,
|
| 148 |
+
0.006923342227935791,
|
| 149 |
+
0.006943663120269775,
|
| 150 |
+
0.006884141921997071,
|
| 151 |
+
0.006953423023223877,
|
| 152 |
+
0.006877262115478516,
|
| 153 |
+
0.0069489431381225585,
|
| 154 |
+
0.006857421875,
|
| 155 |
+
0.006877263069152832,
|
| 156 |
+
0.006874382972717285,
|
| 157 |
+
0.006890542030334472,
|
| 158 |
+
0.006892783164978027,
|
| 159 |
+
0.006966062068939209,
|
| 160 |
+
0.006866542816162109,
|
| 161 |
+
0.007122220993041992,
|
| 162 |
+
0.006997743129730225,
|
| 163 |
+
0.006956622123718261,
|
| 164 |
+
0.006937262058258057,
|
| 165 |
+
0.007103822231292725,
|
| 166 |
+
0.007072941780090332,
|
| 167 |
+
0.00717070198059082,
|
| 168 |
+
0.006875983238220215,
|
| 169 |
+
0.006988622188568115,
|
| 170 |
+
0.0069222221374511715,
|
| 171 |
+
0.0069251031875610354,
|
| 172 |
+
0.006938541889190674,
|
| 173 |
+
0.007024621963500977,
|
| 174 |
+
0.006933262825012207,
|
| 175 |
+
0.007160301208496094,
|
| 176 |
+
0.006909263134002685,
|
| 177 |
+
0.006942222118377686,
|
| 178 |
+
0.006943822860717774,
|
| 179 |
+
0.006942543029785156,
|
| 180 |
+
0.006975982189178467,
|
| 181 |
+
0.006930862903594971,
|
| 182 |
+
0.006982062816619873,
|
| 183 |
+
0.006905901908874512,
|
| 184 |
+
0.006983181953430176,
|
| 185 |
+
0.006949263095855713,
|
| 186 |
+
0.006980621814727783,
|
| 187 |
+
0.006950861930847168,
|
| 188 |
+
0.006988142967224121,
|
| 189 |
+
0.006869262218475342,
|
| 190 |
+
0.006894543170928955,
|
| 191 |
+
0.006951181888580322,
|
| 192 |
+
0.006953581809997559,
|
| 193 |
+
0.006911663055419922,
|
| 194 |
+
0.00699438190460205,
|
| 195 |
+
0.00736142110824585,
|
| 196 |
+
0.007928460121154786,
|
| 197 |
+
0.0073204607963562015,
|
| 198 |
+
0.007369582176208496,
|
| 199 |
+
0.007304780960083008,
|
| 200 |
+
0.0071761422157287594,
|
| 201 |
+
0.007167022228240966,
|
| 202 |
+
0.00736798095703125,
|
| 203 |
+
0.007846859931945801,
|
| 204 |
+
0.007795820236206055,
|
| 205 |
+
0.007802859783172607,
|
| 206 |
+
0.007539660930633545,
|
| 207 |
+
0.007467020988464355,
|
| 208 |
+
0.007256621837615967,
|
| 209 |
+
0.007825419902801514,
|
| 210 |
+
0.00780702018737793,
|
| 211 |
+
0.0074788608551025395,
|
| 212 |
+
0.007758220195770263,
|
| 213 |
+
0.007807499885559082,
|
| 214 |
+
0.007827341079711914,
|
| 215 |
+
0.007767660140991211,
|
| 216 |
+
0.007785260200500488,
|
| 217 |
+
0.0077390198707580566,
|
| 218 |
+
0.007755021095275879,
|
| 219 |
+
0.007825419902801514,
|
| 220 |
+
0.007783979892730713,
|
| 221 |
+
0.007740940093994141,
|
| 222 |
+
0.0078119797706604,
|
| 223 |
+
0.007791820049285888,
|
| 224 |
+
0.007820140838623047,
|
| 225 |
+
0.00782285976409912,
|
| 226 |
+
0.007823339939117432,
|
| 227 |
+
0.007822700023651123,
|
| 228 |
+
0.007867179870605468,
|
| 229 |
+
0.007882060050964356,
|
| 230 |
+
0.0076466999053955076,
|
| 231 |
+
0.007402061939239502,
|
| 232 |
+
0.007414700984954834,
|
| 233 |
+
0.006952462196350098,
|
| 234 |
+
0.00695070219039917,
|
| 235 |
+
0.006985582828521728,
|
| 236 |
+
0.007015182018280029,
|
| 237 |
+
0.007239020824432373,
|
| 238 |
+
0.0069630231857299805,
|
| 239 |
+
0.006984622001647949,
|
| 240 |
+
0.006975182056427002,
|
| 241 |
+
0.007027021884918213,
|
| 242 |
+
0.007045262813568115,
|
| 243 |
+
0.007004463195800782,
|
| 244 |
+
0.007000301837921143,
|
| 245 |
+
0.006987021923065185,
|
| 246 |
+
0.006983181953430176,
|
| 247 |
+
0.006945103168487549,
|
| 248 |
+
0.006999022006988526,
|
| 249 |
+
0.006935182094573974,
|
| 250 |
+
0.006989422798156738,
|
| 251 |
+
0.007029262065887451,
|
| 252 |
+
0.00701182222366333,
|
| 253 |
+
0.006988780975341797,
|
| 254 |
+
0.006939501762390137,
|
| 255 |
+
0.00694622278213501,
|
| 256 |
+
0.006926861763000489,
|
| 257 |
+
0.006909263134002685,
|
| 258 |
+
0.006913422107696533,
|
| 259 |
+
0.0068900628089904785,
|
| 260 |
+
0.006908942222595215,
|
| 261 |
+
0.0069239821434021
|
| 262 |
]
|
| 263 |
},
|
| 264 |
"throughput": {
|
| 265 |
"unit": "samples/s",
|
| 266 |
+
"value": 136.73475386893284
|
| 267 |
},
|
| 268 |
"energy": null,
|
| 269 |
"efficiency": null
|