File size: 8,952 Bytes
cf14c69 8242f45 cf14c69 3f2c793 1e07ed2 62d3a13 cf14c69 62d3a13 cf14c69 8939b78 cf14c69 28bfd0d 3c85041 cf14c69 7189f45 cf14c69 c92f243 cf14c69 d7df0d1 cf14c69 e1832f1 cf14c69 4646c53 cf14c69 c3265d8 cf14c69 c92f243 cf14c69 4646c53 cf14c69 8cec54b 60c40fc cf14c69 8939b78 55a0c21 8939b78 00f64b7 8939b78 55a0c21 8939b78 55a0c21 8939b78 55a0c21 8939b78 55a0c21 8939b78 cf14c69 55a0c21 cf14c69 8939b78 cf14c69 55a0c21 cf14c69 55a0c21 2801b9f 55a0c21 cf14c69 55a0c21 cf14c69 55a0c21 cf14c69 55a0c21 cf14c69 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 |
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.252864,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 797.159424,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.8457978515625,
"mean": 7.8457978515625,
"stdev": 0.0,
"p50": 7.8457978515625,
"p90": 7.8457978515625,
"p95": 7.8457978515625,
"p99": 7.8457978515625,
"values": [
7.8457978515625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.910830826400898e-07,
"ram": 5.274317150188143e-07,
"gpu": 1.7397236139991834e-06,
"total": 3.258238411658088e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1185.308672,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 70,
"total": 1.0103420515060428,
"mean": 0.014433457878657751,
"stdev": 0.0004442206889883159,
"p50": 0.014329855918884277,
"p90": 0.014961734676361083,
"p95": 0.015103385877609253,
"p99": 0.015759928588867187,
"values": [
0.01602764892578125,
0.015534144401550293,
0.0156396484375,
0.014624735832214356,
0.014254079818725587,
0.01417625617980957,
0.014139391899108887,
0.013999103546142578,
0.014186495780944825,
0.014979071617126465,
0.014739456176757813,
0.01430016040802002,
0.014228480339050293,
0.014508031845092773,
0.014249983787536622,
0.014496767997741699,
0.014797920227050782,
0.014699520111083985,
0.014674943923950195,
0.014277631759643555,
0.014260224342346191,
0.014102527618408203,
0.014484383583068848,
0.014261247634887696,
0.014320639610290528,
0.014339072227478027,
0.014223360061645507,
0.014285823822021485,
0.014376959800720214,
0.015024127960205079,
0.014724096298217774,
0.014621696472167968,
0.014296064376831055,
0.014239744186401367,
0.014077856063842773,
0.014366720199584961,
0.014663680076599121,
0.014910464286804198,
0.015053824424743652,
0.014959808349609374,
0.014630047798156739,
0.014638976097106933,
0.015143936157226562,
0.014672896385192872,
0.01444764804840088,
0.014304256439208985,
0.01407487964630127,
0.014467071533203125,
0.014548992156982422,
0.014849023818969726,
0.014932991981506348,
0.014557184219360352,
0.014428159713745118,
0.014455807685852052,
0.014413887977600098,
0.014112768173217773,
0.014273568153381348,
0.014251104354858398,
0.01407472038269043,
0.014164992332458496,
0.014082048416137695,
0.0142673921585083,
0.014063615798950196,
0.014047167778015136,
0.014277631759643555,
0.013567999839782715,
0.01358847999572754,
0.01356390380859375,
0.013610976219177246,
0.013704128265380859
]
},
"throughput": {
"unit": "samples/s",
"value": 69.28346681765463
},
"energy": {
"unit": "kWh",
"cpu": 1.6776754333921346e-07,
"ram": 9.166747439761841e-08,
"gpu": 3.4453079205631704e-07,
"total": 6.03965809793149e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1655722.8634224974
}
}
}
} |