IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
a0c5ee7 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": "35e06a8a39b8c67a2e53b499c65346db81ed78be",
"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": 1104.887808,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.972163666999961,
"mean": 4.972163666999961,
"stdev": 0.0,
"p50": 4.972163666999961,
"p90": 4.972163666999961,
"p95": 4.972163666999961,
"p99": 4.972163666999961,
"values": [
4.972163666999961
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 6.825321250491672e-05,
"ram": 2.852803702355686e-06,
"gpu": 0,
"total": 7.110601620727242e-05
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 958.492672,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.6560045010000408,
"mean": 0.04685746435714577,
"stdev": 0.00284122602840285,
"p50": 0.04776749299998073,
"p90": 0.04955391780002856,
"p95": 0.05053346950001298,
"p99": 0.05167463549999013,
"values": [
0.04806437000002006,
0.048923096999999416,
0.04771525600000359,
0.049765377000028366,
0.04781972999995787,
0.04887491799996724,
0.049060513000029005,
0.05195992699998442,
0.047039870999981304,
0.04355481200002487,
0.04286916400002383,
0.04374542800002246,
0.04282724600000165,
0.04378479199999674
]
},
"throughput": {
"unit": "tokens/s",
"value": 42.682633971742
},
"energy": {
"unit": "kWh",
"cpu": 1.7134767799561729e-06,
"ram": 7.160848836520016e-08,
"gpu": 0.0,
"total": 1.785085268321373e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1120394.658727269
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 958.885888,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 14,
"total": 0.3949812010000642,
"mean": 0.028212942928576012,
"stdev": 0.0019119852493899964,
"p50": 0.029387228499984985,
"p90": 0.030176705599996013,
"p95": 0.030332203499997944,
"p99": 0.030480179900008012,
"values": [
0.029522188999976606,
0.029715140000007523,
0.029252267999993364,
0.03023260399999117,
0.02975210900001457,
0.030517174000010527,
0.029678311999987272,
0.03004627600000731,
0.025711598999976104,
0.026487855000027594,
0.025672185000019,
0.026374303000011423,
0.025803981000024123,
0.026215206000017588
]
},
"throughput": {
"unit": "tokens/s",
"value": 35.444724874381365
},
"energy": {
"unit": "kWh",
"cpu": 9.9205539998225e-07,
"ram": 4.146016549316301e-08,
"gpu": 0.0,
"total": 1.0335155654754122e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 967571.3007186349
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 14,
"total": 0.3885085170001048,
"mean": 0.027750608357150344,
"stdev": 0.0018369203238799228,
"p50": 0.02886516500001335,
"p90": 0.029631815999988476,
"p95": 0.029797785350004345,
"p99": 0.029948825070014777,
"values": [
0.02899244100001397,
0.02922454600002311,
0.02873788900001273,
0.029696123999997326,
0.029205992000015613,
0.029986585000017385,
0.029167338999968706,
0.029481763999967825,
0.025337201000013465,
0.026126541999985875,
0.02531181300003027,
0.02603356800000256,
0.025424113000042325,
0.025782600000013645
]
},
"throughput": {
"unit": "tokens/s",
"value": 36.03524604325784
},
"energy": null,
"efficiency": null
}
}
}