IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
73f5db4 verified
raw
history blame
No virus
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-6.5.0-1024-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "91971089040d6dac4da0f6b0a30eec8415a34544",
"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": 1110.544384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.828387700999997,
"mean": 4.828387700999997,
"stdev": 0.0,
"p50": 4.828387700999997,
"p90": 4.828387700999997,
"p95": 4.828387700999997,
"p99": 4.828387700999997,
"values": [
4.828387700999997
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.733737786610922e-05,
"ram": 2.81453021448101e-06,
"gpu": 0,
"total": 7.015190808059023e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 964.284416,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6361960849999946,
"mean": 0.045442577499999616,
"stdev": 0.002728605602092908,
"p50": 0.04625793649999821,
"p90": 0.04858183720001535,
"p95": 0.04886884120001156,
"p99": 0.04891960984000008,
"values": [
0.04883467000001929,
0.04893230199999721,
0.047840330000013864,
0.04799189400000614,
0.04585560800001076,
0.04679699899998013,
0.04738352699999382,
0.04600137199997789,
0.04651450100001853,
0.0430433310000069,
0.04126955399999588,
0.041414804999988064,
0.04238794500000154,
0.04192924699998457
]
},
"throughput": {
"unit": "tokens/s",
"value": 44.011588031071014
},
"energy": {
"unit": "kWh",
"cpu": 1.6245651024359244e-06,
"ram": 6.78929964894337e-08,
"gpu": 0.0,
"total": 1.692458098925358e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1181713.1551262147
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 964.808704,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.39243324599999596,
"mean": 0.028030946142856856,
"stdev": 0.0018203285658958763,
"p50": 0.028873714499994207,
"p90": 0.02986611840000819,
"p95": 0.030153474900006926,
"p99": 0.03044640858000264,
"values": [
0.02769591099999502,
0.029258843999997453,
0.029655676000004405,
0.029333884000010357,
0.029129401999995252,
0.030519642000001568,
0.02958061499998621,
0.029956308000009813,
0.028618026999993162,
0.025387432999991688,
0.025564846000008856,
0.026020267000006925,
0.025793432999989818,
0.025918958000005432
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.674857170485865
},
"energy": {
"unit": "kWh",
"cpu": 9.885658378954294e-07,
"ram": 4.1314290976345075e-08,
"gpu": 0.0,
"total": 1.0298801288717746e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 970986.7895941365
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.38648090499995646,
"mean": 0.02760577892856832,
"stdev": 0.0017292134270747801,
"p50": 0.028416899999982093,
"p90": 0.029362376400007405,
"p95": 0.02963497585000994,
"p99": 0.029913129570003888,
"values": [
0.02720574500000339,
0.0287689069999999,
0.029163154999992003,
0.028794045000012147,
0.028645486999977265,
0.029982668000002377,
0.029102129999984072,
0.029447757000014008,
0.02818831299998692,
0.025087713000004896,
0.025242964000000256,
0.025730385000002798,
0.025506305999982715,
0.02561532999999372
]
},
"throughput": {
"unit": "tokens/s",
"value": 36.22429936092593
},
"energy": null,
"efficiency": null
}
}
}