File size: 5,628 Bytes
9c7229f 4869015 d580bab 9c7229f d580bab 9c7229f b13a01d 9c7229f d580bab 9c7229f 274d37a b13a01d b819247 9c7229f 4869015 9c7229f 353cdc4 9c7229f b819247 9c7229f 538e837 b819247 9c7229f b819247 9c7229f b819247 9c7229f b819247 9c7229f b819247 9c7229f b819247 9c7229f |
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 |
{
"config": {
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.354496,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "2516ce57a5b64eefeb78dc75a171e0cdff88823e",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 864.657408,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.0011508169999388,
"mean": 0.04550685531817904,
"stdev": 0.0009151914449444242,
"p50": 0.04542841249997309,
"p90": 0.04676307779997728,
"p95": 0.047015669449959316,
"p99": 0.04729233175999127,
"values": [
0.047362732999999935,
0.04618679099996825,
0.04702748899995868,
0.043580563000034545,
0.04535054300004049,
0.045336366000015005,
0.04493345500003443,
0.045778541000004225,
0.044319250999990345,
0.0449455480000438,
0.04553457599996591,
0.04431700599997157,
0.04540631599996914,
0.04482720599997947,
0.045450508999977046,
0.044462586999998166,
0.04592815899997049,
0.04573864600001798,
0.046119395999994595,
0.0452431420000039,
0.046510896000029334,
0.0467910979999715
]
},
"throughput": {
"unit": "samples/s",
"value": 21.974711128864158
},
"energy": {
"unit": "kWh",
"cpu": 1.5571262041727702e-06,
"ram": 6.507340334163701e-08,
"gpu": 0.0,
"total": 1.6221996075144074e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 616446.9497882791
}
}
}
} |