IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
d7889f4 verified
raw
history blame
9.65 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"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": 16757.338112,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "d662120356cf9cce87fb802aea1c49ce74710c29",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1110.71232,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.802552517999999,
"mean": 4.802552517999999,
"stdev": 0.0,
"p50": 4.802552517999999,
"p90": 4.802552517999999,
"p95": 4.802552517999999,
"p99": 4.802552517999999,
"values": [
4.802552517999999
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.661424901750354e-05,
"ram": 2.784301280707477e-06,
"gpu": 0,
"total": 6.939855029821101e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 964.329472,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.6463097540000149,
"mean": 0.04308731693333433,
"stdev": 0.0020981369094637105,
"p50": 0.04229040399999917,
"p90": 0.04685327419999794,
"p95": 0.046998099600000384,
"p99": 0.04705830071999571,
"values": [
0.04205696700000772,
0.043370135999992954,
0.04164947399999619,
0.04164678800000843,
0.04224678299999596,
0.042601475999987315,
0.04375005700001111,
0.0433668900000157,
0.04229040399999917,
0.047073350999994545,
0.046684411999990516,
0.04696584900000289,
0.040983206000021255,
0.040785585999998375,
0.040838374999992766
]
},
"throughput": {
"unit": "tokens/s",
"value": 46.41737156886435
},
"energy": {
"unit": "kWh",
"cpu": 1.6332137915823195e-06,
"ram": 6.825419884024816e-08,
"gpu": 0.0,
"total": 1.7014679904225677e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1175455.5544140977
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 964.984832,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.39663129299998445,
"mean": 0.026442086199998962,
"stdev": 0.0011951101764280526,
"p50": 0.026070540000006304,
"p90": 0.028113521000005904,
"p95": 0.028620156600010202,
"p99": 0.02931734092000738,
"values": [
0.026591324999998278,
0.026070540000006304,
0.02602600599999505,
0.0257032929999923,
0.026581246999995756,
0.026202226999998857,
0.026668830999994952,
0.025900310999986687,
0.02575274500000546,
0.028246665000011717,
0.029491637000006676,
0.027913804999997183,
0.025188488999987158,
0.025158642999997483,
0.025135529000010592
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.81849860243022
},
"energy": {
"unit": "kWh",
"cpu": 9.738669682432104e-07,
"ram": 4.069900875175769e-08,
"gpu": 0.0,
"total": 1.014565976994968e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 985643.1446300705
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 15,
"total": 0.3912878260000241,
"mean": 0.026085855066668273,
"stdev": 0.0011476163635147862,
"p50": 0.025698793999993086,
"p90": 0.02769389320000073,
"p95": 0.028136984799996864,
"p99": 0.0288202609599972,
"values": [
0.026251107999996748,
0.025698793999993086,
0.02566400800000679,
0.025365440000001627,
0.02619131700001276,
0.025877599000011742,
0.026340615999998818,
0.025588798000001134,
0.025402358999997432,
0.02777094399999669,
0.028991079999997282,
0.02757831700000679,
0.0248815939999929,
0.024856236000005083,
0.024829616000005217
]
},
"throughput": {
"unit": "tokens/s",
"value": 38.33495192870906
},
"energy": null,
"efficiency": null
}
}
}