IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
3bf7645 verified
raw
history blame
8.62 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.5.1+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": 2,
"sequence_length": 16
},
"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": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "66c837b53c9420caaed58be9b5b51d16360a0e19",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1127.456768,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.7038184020000244
],
"count": 1,
"total": 1.7038184020000244,
"mean": 1.7038184020000244,
"p50": 1.7038184020000244,
"p90": 1.7038184020000244,
"p95": 1.7038184020000244,
"p99": 1.7038184020000244,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1011.519488,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.11022258600002033,
0.11093912100000125,
0.11717476899997337,
0.11498220300001094,
0.11638121000004276,
0.11125842299998112,
0.1035868550000032
],
"count": 7,
"total": 0.784545167000033,
"mean": 0.11207788100000471,
"p50": 0.11125842299998112,
"p90": 0.116698633600015,
"p95": 0.11693670129999419,
"p99": 0.11712715545997752,
"stdev": 0.004316743512477108,
"stdev_": 3.851557036911616
},
"throughput": {
"unit": "tokens/s",
"value": 285.5157477504295
},
"energy": {
"unit": "kWh",
"cpu": 4.217805534444463e-06,
"ram": 1.7627261172362932e-07,
"gpu": 0.0,
"total": 4.394078146168092e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7282528.652319482
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1018.748928,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04513147799997341,
0.04595905200000061,
0.0475423150000438,
0.051792685999998866,
0.05104340999997703,
0.045221266999988075,
0.04454792199999247
],
"count": 7,
"total": 0.33123812999997426,
"mean": 0.04731973285713918,
"p50": 0.04595905200000061,
"p90": 0.051343120399985766,
"p95": 0.05156790319999231,
"p99": 0.05174772943999756,
"stdev": 0.0027424970422947883,
"stdev_": 5.795673129800911
},
"throughput": {
"unit": "tokens/s",
"value": 42.265665489661735
},
"energy": {
"unit": "kWh",
"cpu": 1.5895087433333776e-06,
"ram": 6.642491217878442e-08,
"gpu": 0.0,
"total": 1.655933655512163e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1207777.85591985
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.04415864099996725,
0.04498377099997697,
0.04659321300005104,
0.05066843499997731,
0.049849217999963,
0.044200821000004,
0.04355303400001276
],
"count": 7,
"total": 0.3240071329999523,
"mean": 0.046286733285707475,
"p50": 0.04498377099997697,
"p90": 0.050176904799968725,
"p95": 0.050422669899973016,
"p99": 0.05061928197997645,
"stdev": 0.002673552115775224,
"stdev_": 5.77606568014332
},
"throughput": {
"unit": "tokens/s",
"value": 43.208925280055674
},
"energy": null,
"efficiency": null
}
}
}