IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
b81eade verified
raw
history blame
9.65 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": "77f747e53ce7403364c3165a786f2dab3853d12c",
"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": 1109.573632,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.821368032000009,
"mean": 4.821368032000009,
"stdev": 0.0,
"p50": 4.821368032000009,
"p90": 4.821368032000009,
"p95": 4.821368032000009,
"p99": 4.821368032000009,
"values": [
4.821368032000009
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.74127393298679e-05,
"ram": 2.817684433285876e-06,
"gpu": 0,
"total": 7.023042376315378e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 963.19488,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.6471706779999522,
"mean": 0.04314471186666348,
"stdev": 0.0014037145014244134,
"p50": 0.04325610600000118,
"p90": 0.044334422800022824,
"p95": 0.04516805650004585,
"p99": 0.04664729370003329,
"values": [
0.04701710300003015,
0.042712019999953554,
0.044272644999978183,
0.042310850000035316,
0.043761430000017754,
0.04234345099996517,
0.041983407999964584,
0.04437560800005258,
0.04325610600000118,
0.043504580000046644,
0.043535969000004116,
0.043387070999983735,
0.04225292199998876,
0.041349472999968384,
0.0411080419999621
]
},
"throughput": {
"unit": "tokens/s",
"value": 46.355623052505194
},
"energy": {
"unit": "kWh",
"cpu": 1.6612398403662225e-06,
"ram": 6.942598507094998e-08,
"gpu": 0.0,
"total": 1.7306658254371726e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1155624.5986973208
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 963.981312,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 15,
"total": 0.39962352899999587,
"mean": 0.026641568599999724,
"stdev": 0.0009286283575222368,
"p50": 0.02647367800000211,
"p90": 0.027652682399968855,
"p95": 0.028166504399985113,
"p99": 0.028888225679991136,
"values": [
0.026381395999976576,
0.02608187500004533,
0.0268360439999924,
0.0274619039999493,
0.026509764999957497,
0.025885127000037755,
0.02627124000002823,
0.02777986799998189,
0.02647367800000211,
0.02682607599996345,
0.02599018400002251,
0.029068655999992643,
0.025451858999986143,
0.025354496000034032,
0.02725136100002601
]
},
"throughput": {
"unit": "tokens/s",
"value": 37.53532740560968
},
"energy": {
"unit": "kWh",
"cpu": 1.009136637051901e-06,
"ram": 4.217411081611998e-08,
"gpu": 0.0,
"total": 1.05131074786802e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 951193.5477002643
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 15,
"total": 0.39418433299999833,
"mean": 0.02627895553333322,
"stdev": 0.0008837379547187651,
"p50": 0.02611787299997559,
"p90": 0.027312350799979866,
"p95": 0.027773389399993673,
"p99": 0.028405415479991234,
"values": [
0.026032002999954784,
0.025747981000051823,
0.026484466999988854,
0.027128670999957194,
0.026142488999994384,
0.02555454900004861,
0.025901639000039722,
0.027434803999994983,
0.02611787299997559,
0.02648697199998651,
0.02566389399999025,
0.028563421999990624,
0.025157036999985394,
0.02506286100003763,
0.026705671000001985
]
},
"throughput": {
"unit": "tokens/s",
"value": 38.05326276120686
},
"energy": null,
"efficiency": null
}
}
}