IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
afadd67 verified
raw
history blame
9.52 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": 16757.342208,
"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": "a074a05b924b05dffbc3b2f3392d72d3b68c22b7",
"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": 1122.725888,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.886941481000008,
"mean": 4.886941481000008,
"stdev": 0.0,
"p50": 4.886941481000008,
"p90": 4.886941481000008,
"p95": 4.886941481000008,
"p99": 4.886941481000008,
"values": [
4.886941481000008
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.755317204999851e-05,
"ram": 2.8235476365189747e-06,
"gpu": 0,
"total": 7.037671968651749e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 976.457728,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6280945659999588,
"mean": 0.04486389757142563,
"stdev": 0.002332736467434012,
"p50": 0.04629916199999684,
"p90": 0.04686159890001136,
"p95": 0.046977388450011405,
"p99": 0.04709305048997294,
"values": [
0.04334069699996235,
0.04676969500002315,
0.046371297000007417,
0.046773071999950844,
0.046899539000037294,
0.04712196599996332,
0.04637030499998218,
0.046727065000027324,
0.0462280190000115,
0.045682905999967716,
0.04124715800003287,
0.041271543999982896,
0.0414233500000023,
0.041867953000007674
]
},
"throughput": {
"unit": "tokens/s",
"value": 44.57927438907637
},
"energy": {
"unit": "kWh",
"cpu": 1.628489344675925e-06,
"ram": 6.805610619806887e-08,
"gpu": 0.0,
"total": 1.6965454508739939e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1178866.1476588666
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 977.24416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.3907546469999943,
"mean": 0.027911046214285307,
"stdev": 0.0017654796369530356,
"p50": 0.02889477549999242,
"p90": 0.029489239900021856,
"p95": 0.029551854600018145,
"p99": 0.029600410119986122,
"values": [
0.02936267900003031,
0.029612548999978117,
0.02887819000000036,
0.0295191730000397,
0.029334004999952867,
0.02922322800003485,
0.029419395999980225,
0.02891136099998448,
0.028606799999977284,
0.02597441800003253,
0.025248946999965938,
0.02556058100003611,
0.025787476999994396,
0.025315842999987126
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.82810878254304
},
"energy": {
"unit": "kWh",
"cpu": 9.711495827314961e-07,
"ram": 4.058670627872069e-08,
"gpu": 0.0,
"total": 1.011736289010216e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 988399.8536597934
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.38438483000004453,
"mean": 0.027456059285717465,
"stdev": 0.0016889575274665418,
"p50": 0.02838800399999286,
"p90": 0.02897082880002131,
"p95": 0.029038257400009114,
"p99": 0.029094741879982847,
"values": [
0.0288274240000419,
0.02910886299997628,
0.02836966500001381,
0.029000239000026795,
0.02880805799998143,
0.028718871000023682,
0.028902205000008507,
0.028406342999971912,
0.02811318400000573,
0.02562545300003194,
0.02491061199998512,
0.02520466400000032,
0.025447960000008152,
0.024941288999968947
]
},
"throughput": {
"unit": "tokens/s",
"value": 36.42183277627886
},
"energy": null,
"efficiency": null
}
}
}