IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
e9a2d5f verified
raw
history blame
9.5 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.1+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": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.767104,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "496d74599887a901aaff2a5946eda97d8b8253a3",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"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": 1116.065792,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.79189828600002,
"mean": 4.79189828600002,
"stdev": 0.0,
"p50": 4.79189828600002,
"p90": 4.79189828600002,
"p95": 4.79189828600002,
"p99": 4.79189828600002,
"values": [
4.79189828600002
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.694621146111075e-05,
"ram": 2.799724473952759e-06,
"gpu": 0,
"total": 6.974593593506352e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 969.527296,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6213254570000402,
"mean": 0.04438038978571716,
"stdev": 0.002069831533082474,
"p50": 0.04509165250000535,
"p90": 0.046072940700005914,
"p95": 0.0461333424000145,
"p99": 0.04621803168001634,
"values": [
0.04356078400002161,
0.04607634000001326,
0.04584716100001174,
0.043420201000003544,
0.04581090299998891,
0.0455677789999811,
0.044143493000007084,
0.04493794999999068,
0.04606500899998878,
0.0447199420000004,
0.0462392040000168,
0.04524535500002003,
0.040636301999995794,
0.03905503400000043
]
},
"throughput": {
"unit": "tokens/s",
"value": 45.06494894832257
},
"energy": {
"unit": "kWh",
"cpu": 1.55781208644444e-06,
"ram": 6.514045142026734e-08,
"gpu": 0.0,
"total": 1.6229525378647072e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1232321.9276833371
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 970.182656,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.3969281509999689,
"mean": 0.028352010785712065,
"stdev": 0.001607494170766613,
"p50": 0.028919357000006585,
"p90": 0.02933393110000111,
"p95": 0.029383686900000327,
"p99": 0.02939031897999115,
"values": [
0.02922824999998852,
0.029379223000006505,
0.029120567999996183,
0.02897680000000946,
0.028728265000012243,
0.028861914000003708,
0.029176372999984324,
0.028990294999999833,
0.02883547499999395,
0.029391976999988856,
0.0284759629999769,
0.028807221999983312,
0.02488341200000832,
0.024072414000016806
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.270866943375594
},
"energy": {
"unit": "kWh",
"cpu": 9.322432600832963e-07,
"ram": 3.8983804091197156e-08,
"gpu": 0.0,
"total": 9.71227064174493e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1029625.3439456641
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.3904897900000037,
"mean": 0.027892127857143123,
"stdev": 0.0015508869225072956,
"p50": 0.02845208849998926,
"p90": 0.028836357199992335,
"p95": 0.028883076249998398,
"p99": 0.028884477650001655,
"values": [
0.028729546999983313,
0.02888482800000247,
0.028649918000013486,
0.028491061000011086,
0.02824616300000571,
0.028393657999998823,
0.02869265900000073,
0.028475882999998703,
0.028349887000018725,
0.028882132999996202,
0.02795235399997864,
0.028428293999979815,
0.02454897699999492,
0.0237644280000211
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.85240986710527
},
"energy": null,
"efficiency": null
}
}
}