File size: 5,681 Bytes
6b3d8f4 a604fe0 6b3d8f4 872763c 382b825 6b3d8f4 382b825 6b3d8f4 464d9b0 6b3d8f4 aa59974 6b3d8f4 a604fe0 6b3d8f4 5dc5a8c d9e71ad a604fe0 6b3d8f4 a604fe0 6b3d8f4 a604fe0 6b3d8f4 a604fe0 6b3d8f4 d9e71ad 6b3d8f4 d9e71ad 6b3d8f4 d9e71ad 6b3d8f4 d9e71ad 6b3d8f4 d9e71ad 6b3d8f4 d9e71ad 6b3d8f4 d9e71ad 6b3d8f4 |
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 |
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"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": {},
"hub_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,
"latency": true,
"memory": 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-6.5.0-1022-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "9a8b29987613b8b04c221447a49b37ee314548ff",
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 940.371968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.0289317659997437,
"mean": 0.04676962572726107,
"stdev": 0.002581598998346006,
"p50": 0.04746821499998077,
"p90": 0.04886087689999954,
"p95": 0.0491037487499824,
"p99": 0.04978260920000025,
"values": [
0.04995990800000527,
0.04742390199999136,
0.046921812999983104,
0.048598379999987174,
0.04796392299999752,
0.04777999899999941,
0.047137546999977076,
0.04696273899998005,
0.048706381999977566,
0.04793193299997256,
0.04724120999998149,
0.04911562799998137,
0.04751252799997019,
0.04887804300000198,
0.04790856899995788,
0.04671093799998971,
0.04791693499998928,
0.04705812700001388,
0.04489037799999096,
0.040828428999986954,
0.0408287390000055,
0.040655716000003395
]
},
"throughput": {
"unit": "samples/s",
"value": 21.381398385172883
},
"energy": {
"unit": "kWh",
"cpu": 1.576555887858073e-06,
"ram": 6.588571618890455e-08,
"gpu": 0.0,
"total": 1.6424416040469776e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 608849.6525757745
}
}
}
} |