IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
9517e13 verified
raw
history blame
7 kB
{
"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
}
}
}
}