IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
9517e13
verified
{ | |
"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": "a15c900c7e611bd78abdf66d3df121367de8fb9d", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.1", | |
"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": 945.64352, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.523004976999971, | |
"mean": 4.523004976999971, | |
"stdev": 0.0, | |
"p50": 4.523004976999971, | |
"p90": 4.523004976999971, | |
"p95": 4.523004976999971, | |
"p99": 4.523004976999971, | |
"values": [ | |
4.523004976999971 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.817173137777849e-05, | |
"ram": 2.013332498037911e-06, | |
"gpu": 0, | |
"total": 5.01850638758164e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 953.245696, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 28, | |
"total": 1.0138485579998928, | |
"mean": 0.03620887707142474, | |
"stdev": 0.001438273899839737, | |
"p50": 0.03587399950001213, | |
"p90": 0.037937692499974675, | |
"p95": 0.0383363069499751, | |
"p99": 0.04002601183997115, | |
"values": [ | |
0.03829027199998336, | |
0.03692319599997518, | |
0.0377248310000482, | |
0.036215439000045535, | |
0.034940578000032474, | |
0.03441525300002013, | |
0.035791744999983166, | |
0.03516742400000794, | |
0.03438466599999401, | |
0.03645846500000971, | |
0.036902138000016294, | |
0.036978170999987015, | |
0.03778658699997095, | |
0.03563917799999672, | |
0.038361094999970646, | |
0.03556121299999404, | |
0.0359562540000411, | |
0.03500931799999307, | |
0.03557573999995611, | |
0.03487565599999698, | |
0.034452923000003466, | |
0.035124673999973766, | |
0.03562707699995826, | |
0.034494331000018974, | |
0.037187523000000056, | |
0.03646285299998908, | |
0.04064180299997133, | |
0.03690015499995525 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 27.617536937901292 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.386755623180098e-06, | |
"ram": 5.795482058603515e-08, | |
"gpu": 0.0, | |
"total": 1.444710443766133e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 692180.2249820782 | |
} | |
} | |
} | |
} |