IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
5c3ee54 verified
raw
history blame
6.11 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "e14790977359c910adbb4ec8a2b60fcf3ce6bd46",
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 941.174784,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 32,
"total": 1.0025101489998178,
"mean": 0.03132844215624431,
"stdev": 0.0009787557477789217,
"p50": 0.031134882000003472,
"p90": 0.03270217129997945,
"p95": 0.032830271800003176,
"p99": 0.033678749580003005,
"values": [
0.03185842599998523,
0.03081168199997819,
0.031148691999987932,
0.03127764200002048,
0.031867463999958545,
0.032341106999979274,
0.032817346000001635,
0.03206483200000321,
0.03271593699997766,
0.032846070000005056,
0.03167938299998241,
0.031233229999998002,
0.031908869999995204,
0.03257827999999563,
0.03133358700000599,
0.03198399099994731,
0.031000464999976884,
0.030671181000002434,
0.03039101799998889,
0.030890841000029923,
0.03029584099999738,
0.030911449000029734,
0.034052852000002076,
0.03080205499998101,
0.030836100999977134,
0.030105144000003747,
0.030495502000007946,
0.030140840999990814,
0.02988784899997654,
0.03063454099998353,
0.031121072000019012,
0.029806858000029024
]
},
"throughput": {
"unit": "samples/s",
"value": 31.919876354294956
},
"energy": {
"unit": "kWh",
"cpu": 1.171051131354438e-06,
"ram": 4.894024313190313e-08,
"gpu": 0.0,
"total": 1.2199913744863411e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 819677.926346844
}
}
}
}