File size: 5,787 Bytes
9c7229f 4869015 d580bab 9c7229f d580bab 9c7229f f8fa0f5 9c7229f d580bab 9c7229f 274d37a 9c7229f b4d5f62 9c7229f 4869015 9c7229f 353cdc4 9c7229f b4d5f62 9c7229f b4d5f62 9c7229f b4d5f62 9c7229f b4d5f62 9c7229f b4d5f62 9c7229f b4d5f62 9c7229f b4d5f62 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 |
{
"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": "0.2.0",
"optimum_benchmark_commit": "a84403909b6e036e6ac3ccba23f1df81c197a364",
"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": 864.956416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 26,
"total": 1.0253170890001115,
"mean": 0.039435272653850446,
"stdev": 0.0010127474353409157,
"p50": 0.03908001300001729,
"p90": 0.040334053500004075,
"p95": 0.041059047750017896,
"p99": 0.04288193625001924,
"values": [
0.03894136800002457,
0.03891462800001477,
0.03993940199998747,
0.03932022899999765,
0.03887941100001058,
0.03875851399999419,
0.03886335100000338,
0.039419987000002266,
0.03918957299998738,
0.03921010299998784,
0.04345286100001999,
0.03987262600000463,
0.03909220100001676,
0.03906782500001782,
0.0386999139999773,
0.03987513199999171,
0.03983234100002164,
0.039013963999991574,
0.03860329300002263,
0.0385983130000227,
0.03878058600000145,
0.03916583899999182,
0.039024092999994764,
0.04072870500002068,
0.04116916200001697,
0.03890366799998901
]
},
"throughput": {
"unit": "samples/s",
"value": 25.358009028558353
},
"energy": {
"unit": "kWh",
"cpu": 1.464295534440029e-06,
"ram": 6.11948124141977e-08,
"gpu": 0.0,
"total": 1.5254903468542266e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 655526.9274972072
}
}
}
} |