IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
aa56d36 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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "c932665bc86cea66c29ccd4e794b336721ae01f7",
"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": 1123.086336,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.7536275450000005,
"mean": 4.7536275450000005,
"stdev": 0.0,
"p50": 4.7536275450000005,
"p90": 4.7536275450000005,
"p95": 4.7536275450000005,
"p99": 4.7536275450000005,
"values": [
4.7536275450000005
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.733900424999983e-05,
"ram": 2.8146002804261057e-06,
"gpu": 0,
"total": 7.015360453042594e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 976.310272,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.6446618229999217,
"mean": 0.04297745486666145,
"stdev": 0.002806679176182685,
"p50": 0.04475526999999602,
"p90": 0.04585607899998649,
"p95": 0.04595444929998678,
"p99": 0.04606612505999749,
"values": [
0.04589462299998104,
0.04609404400000017,
0.04522321199999624,
0.04579826299999468,
0.04501975299999117,
0.04493848100000264,
0.045136069999983874,
0.04475526999999602,
0.04428995300000338,
0.03934723199998302,
0.03959153700000684,
0.039303630999995676,
0.03997576399999048,
0.03979669899999294,
0.03949729100000354
]
},
"throughput": {
"unit": "tokens/s",
"value": 46.53602699845876
},
"energy": {
"unit": "kWh",
"cpu": 1.5712195815555357e-06,
"ram": 6.566437460407419e-08,
"gpu": 0.0,
"total": 1.63688395615961e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1221833.711836432
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 977.096704,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.401785885000038,
"mean": 0.0267857256666692,
"stdev": 0.0018674424954392287,
"p50": 0.027642190000022993,
"p90": 0.0288954859999933,
"p95": 0.02910144950000131,
"p99": 0.02924126190000834,
"values": [
0.029026549999997542,
0.028698889999986932,
0.029276215000010097,
0.028254461000017272,
0.02845023599999763,
0.028259300000001986,
0.028349969000004194,
0.027642190000022993,
0.02502788999998984,
0.024691340999993372,
0.02447236399999042,
0.02526645300000041,
0.024953249000020605,
0.024812337000014395,
0.02460443999999029
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.333317470818024
},
"energy": {
"unit": "kWh",
"cpu": 9.351042851111698e-07,
"ram": 3.908085246872889e-08,
"gpu": 0.0,
"total": 9.741851375798988e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1026498.9286166193
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 15,
"total": 0.39552913500000386,
"mean": 0.026368609000000258,
"stdev": 0.0017796765687257434,
"p50": 0.02716987000002291,
"p90": 0.028395836600003575,
"p95": 0.02857947550000972,
"p99": 0.0287011270999983,
"values": [
0.028514305000015838,
0.028218133999985184,
0.028731539999995448,
0.027761983000004875,
0.027971253000004026,
0.027756173000000217,
0.027843816000000743,
0.02716987000002291,
0.02468668399998819,
0.024355025000005526,
0.02415202699998531,
0.024945554999987962,
0.02463408400001299,
0.024497410000009268,
0.024291275999985373
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.92388138486904
},
"energy": null,
"efficiency": null
}
}
}