IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
fecccd7 verified
raw
history blame
9.52 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "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-6.5.0-1023-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "61123f7169ae188508e9e8c5ca6b9a54a00965ed",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1103.826944,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.815016288999999,
"mean": 4.815016288999999,
"stdev": 0.0,
"p50": 4.815016288999999,
"p90": 4.815016288999999,
"p95": 4.815016288999999,
"p99": 4.815016288999999,
"values": [
4.815016288999999
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.787963178422717e-05,
"ram": 2.837184156568355e-06,
"gpu": 0,
"total": 7.071681594079552e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 957.292544,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.649780125000035,
"mean": 0.04641286607143107,
"stdev": 0.0021017405518133666,
"p50": 0.046997310999998376,
"p90": 0.04843621450001194,
"p95": 0.04877234005001156,
"p99": 0.04919454001000446,
"values": [
0.04801482000002011,
0.04848816700001635,
0.048314992000001666,
0.04620872199998871,
0.04930009000000268,
0.048168908999997484,
0.04717622699999424,
0.04827287400001978,
0.044453621000002386,
0.04392718400001172,
0.04435945399998786,
0.04681839500000251,
0.043093159999983754,
0.043183510000005754
]
},
"throughput": {
"unit": "tokens/s",
"value": 43.09149960534495
},
"energy": {
"unit": "kWh",
"cpu": 1.6921039940654368e-06,
"ram": 7.071460148836194e-08,
"gpu": 0.0,
"total": 1.7628185955537987e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1134546.6884933158
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 958.34112,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.40178420000006554,
"mean": 0.02869887142857611,
"stdev": 0.0020055303466046926,
"p50": 0.028683768999997028,
"p90": 0.030827087599996618,
"p95": 0.030911896549996244,
"p99": 0.030993064910004194,
"values": [
0.03085726399999089,
0.030564666000003626,
0.03059406100001638,
0.030162001000007876,
0.030756676000009975,
0.03071923600001014,
0.03101335700000618,
0.026851593000003504,
0.026902168000020765,
0.0271348339999804,
0.027056368000017983,
0.02720553699998618,
0.02599590900001658,
0.02597052999999505
]
},
"throughput": {
"unit": "tokens/s",
"value": 34.844575769773215
},
"energy": {
"unit": "kWh",
"cpu": 9.910391801413323e-07,
"ram": 4.141869096656594e-08,
"gpu": 0.0,
"total": 1.0324578711078993e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 968562.5224852324
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.39606571600003804,
"mean": 0.028290408285717,
"stdev": 0.0019376003125794723,
"p50": 0.02828171550000036,
"p90": 0.030349178500000563,
"p95": 0.03042934630000076,
"p99": 0.030509196459997553,
"values": [
0.030375601000002916,
0.030089615000008507,
0.030133626999997887,
0.0296856479999974,
0.03028752599999507,
0.030229167000015877,
0.030529158999996753,
0.02650943099999381,
0.026529409000005444,
0.02678993699998955,
0.026714536000014277,
0.02687778300000332,
0.02566045000000372,
0.025653827000013507
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.34766942564313
},
"energy": null,
"efficiency": null
}
}
}