IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
18fdf2b verified
raw
history blame
6.61 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "74ced8402064e977675db1260acc02c86f436230",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 941.34272,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.65631276900001,
"mean": 4.65631276900001,
"stdev": 0.0,
"p50": 4.65631276900001,
"p90": 4.65631276900001,
"p95": 4.65631276900001,
"p99": 4.65631276900001,
"values": [
4.65631276900001
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.838492543888909e-05,
"ram": 2.023328594889032e-06,
"gpu": 0,
"total": 5.0408254033778126e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 952.877056,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 19,
"total": 1.0024164460001543,
"mean": 0.0527587603157976,
"stdev": 0.00098425961439491,
"p50": 0.05291885900004445,
"p90": 0.05390471080000907,
"p95": 0.05397366070002363,
"p99": 0.05445763533999752,
"values": [
0.05234933799999908,
0.053092075999984445,
0.05136119299999109,
0.05350083100000802,
0.05300892700000759,
0.05269962300002362,
0.052768490000005386,
0.05034787699997878,
0.053906442000027255,
0.05264683399997239,
0.053410462000044845,
0.05275901300001351,
0.053904278000004524,
0.05205940400003328,
0.054578628999991,
0.05296341199999688,
0.05291885900004445,
0.05110535300002539,
0.05303540500000281
]
},
"throughput": {
"unit": "samples/s",
"value": 18.954198203564864
},
"energy": {
"unit": "kWh",
"cpu": 1.707875985024188e-06,
"ram": 7.141521931797438e-08,
"gpu": 0.0,
"total": 1.7792912043421625e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 562021.549682037
}
}
}
}