IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
7e691c9 verified
raw
history blame
7.23 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": "07a8cb687fae1efd79b34b906447fdcec00042fd",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"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": 947.351552,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.247454566999977,
"mean": 4.247454566999977,
"stdev": 0.0,
"p50": 4.247454566999977,
"p90": 4.247454566999977,
"p95": 4.247454566999977,
"p99": 4.247454566999977,
"values": [
4.247454566999977
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.776833642777882e-05,
"ram": 1.996482171234892e-06,
"gpu": 0,
"total": 4.976481859901371e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 954.953728,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 33,
"total": 1.0202758940001218,
"mean": 0.030917451333337023,
"stdev": 0.0008759051132561737,
"p50": 0.030683416999977453,
"p90": 0.03178257819998862,
"p95": 0.03253343080001514,
"p99": 0.03406385743998499,
"values": [
0.031098597000038808,
0.030812289000039073,
0.03046206499999471,
0.030539936000025136,
0.030889082999976836,
0.030683416999977453,
0.030551027999990765,
0.031156565999992836,
0.031484883000018726,
0.030779606999999487,
0.030437003999963963,
0.03088984400000072,
0.030367663999982142,
0.034490963999985524,
0.03072554600004196,
0.030810195000015028,
0.030691461999992953,
0.03037418600001729,
0.030427174999999806,
0.030527283000026273,
0.03119306400003552,
0.031857001999981094,
0.030822277999959624,
0.030649994999976116,
0.030366992000040227,
0.03064832000001161,
0.03033503199998222,
0.030254119999995055,
0.030520831000046655,
0.032118214000036005,
0.03315625599998384,
0.030197433000012097,
0.0299575629999822
]
},
"throughput": {
"unit": "samples/s",
"value": 32.34419257973379
},
"energy": {
"unit": "kWh",
"cpu": 1.1602579367646988e-06,
"ram": 4.848917268415795e-08,
"gpu": 0.0,
"total": 1.2087471094488568e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 827302.9090890338
}
}
}
}