File size: 7,183 Bytes
16a60c6 2516e38 16a60c6 026348e 2ac94ea d0312a4 16a60c6 d0312a4 16a60c6 5edb728 16a60c6 349d7ae 16a60c6 a7f09e7 16a60c6 c772fd9 16a60c6 995a350 95b99f6 0105462 16a60c6 2516e38 16a60c6 0105462 16a60c6 435f20e 16a60c6 c925347 16a60c6 5edb728 95b99f6 5edb728 95b99f6 5edb728 95b99f6 5edb728 95b99f6 5edb728 95b99f6 5edb728 95b99f6 5edb728 16a60c6 95b99f6 16a60c6 95b99f6 16a60c6 95b99f6 16a60c6 95b99f6 16a60c6 95b99f6 16a60c6 95b99f6 16a60c6 95b99f6 16a60c6 |
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 |
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": false,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "8b759bc0742b6984132ce7d4aeb59966503ba57b",
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 945.242112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.493144613000027,
"mean": 4.493144613000027,
"stdev": 0.0,
"p50": 4.493144613000027,
"p90": 4.493144613000027,
"p95": 4.493144613000027,
"p99": 4.493144613000027,
"values": [
4.493144613000027
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 5.254913755000088e-05,
"ram": 2.1963418971171598e-06,
"gpu": 0,
"total": 5.474547944711804e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 953.368576,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 32,
"total": 1.012333632000093,
"mean": 0.03163542600000291,
"stdev": 0.0018005681829837386,
"p50": 0.030813798999986375,
"p90": 0.0350118307999935,
"p95": 0.035170241450018125,
"p99": 0.03533145214003071,
"values": [
0.031224627000028704,
0.03090468900001042,
0.03067590199998449,
0.030616619999989325,
0.030492096999978457,
0.03043718600002876,
0.030331106999994972,
0.030573289000017212,
0.03144802499997468,
0.030682864999960202,
0.030290500999967662,
0.030537352000010287,
0.031409472999996524,
0.030937510999990536,
0.030835389000003488,
0.03069451700002901,
0.03092500400003928,
0.030775887999993756,
0.030482018999975935,
0.031001460000027237,
0.030743899000015062,
0.03079220899996926,
0.030839196999977503,
0.03427726600000369,
0.0350237019999895,
0.03515780300000415,
0.03484297400001424,
0.03490499000002956,
0.035397050000028685,
0.035185444000035204,
0.030140210000013212,
0.029753367000012076
]
},
"throughput": {
"unit": "samples/s",
"value": 31.61013226121589
},
"energy": {
"unit": "kWh",
"cpu": 1.184103240067331e-06,
"ram": 4.9485898576645754e-08,
"gpu": 0.0,
"total": 1.2335891386439768e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 810642.6756474609
}
}
}
} |