IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
80a98e7 verified
raw
history blame
9.53 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": 16766.783488,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1015-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "8bd7430b5a210454e1554b813733827ac7ec1b24",
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.1",
"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
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1110.016,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.7292733259999977
],
"count": 1,
"total": 1.7292733259999977,
"mean": 1.7292733259999977,
"p50": 1.7292733259999977,
"p90": 1.7292733259999977,
"p95": 1.7292733259999977,
"p99": 1.7292733259999977,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 964.919296,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04501948000000766,
0.047382779000002984,
0.046812334999998484,
0.045631452000009176,
0.04779497799998467,
0.04717372999999725,
0.046959538999999495,
0.04702669200000287,
0.04181747600000563,
0.0433772159999819,
0.04225576400000364,
0.04178940400001352,
0.04560540299999616,
0.04098342099999286
],
"count": 14,
"total": 0.6296296689999963,
"mean": 0.04497354778571402,
"p50": 0.04561842750000267,
"p90": 0.04732006430000126,
"p95": 0.04752704864999657,
"p99": 0.04774139212998705,
"stdev": 0.002344230777024213,
"stdev_": 5.212465754744981
},
"throughput": {
"unit": "tokens/s",
"value": 44.47058545457483
},
"energy": {
"unit": "kWh",
"cpu": 1.5803893326666414e-06,
"ram": 6.6084389566432e-08,
"gpu": 0.0,
"total": 1.6464737222330734e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1214717.2305230887
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 964.919296,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.02989563400001316,
0.029509383999993588,
0.02903209299998366,
0.028076089999984788,
0.029271791000013536,
0.028792616000004045,
0.02767226599999617,
0.025971913999995877,
0.026846465999994962,
0.025433750000019018,
0.02545092200000454,
0.025575043999992886,
0.025036908999993557,
0.02471843499998272
],
"count": 14,
"total": 0.3812833139999725,
"mean": 0.027234522428569465,
"p50": 0.027259365999995566,
"p90": 0.029438106099999573,
"p95": 0.02964457150000044,
"p99": 0.029845421500010617,
"stdev": 0.001793810652407703,
"stdev_": 6.586532431815165
},
"throughput": {
"unit": "tokens/s",
"value": 36.71810301145518
},
"energy": {
"unit": "kWh",
"cpu": 9.435761162916518e-07,
"ram": 3.94576204612214e-08,
"gpu": 0.0,
"total": 9.83033736752873e-07
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1017259.0854340049
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.029344946999998456,
0.02897485700000857,
0.028547678999984782,
0.027589772999988327,
0.028735250000011092,
0.02826010300000803,
0.027154830999990054,
0.025599760000005745,
0.026319763000003604,
0.02506910000002449,
0.02510053800000378,
0.025194623999993837,
0.024704068000005464,
0.02435802299999068
],
"count": 14,
"total": 0.3749533160000169,
"mean": 0.026782379714286923,
"p50": 0.02673729699999683,
"p90": 0.028902974900009325,
"p95": 0.02910438850000503,
"p99": 0.029296835299999772,
"stdev": 0.0017190599063488178,
"stdev_": 6.418622708988754
},
"throughput": {
"unit": "tokens/s",
"value": 37.33798156354848
},
"energy": null,
"efficiency": null
}
}
}