IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
382b825 verified
raw
history blame
5.79 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_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,
"latency": true,
"memory": 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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.354496,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 941.072384,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 26,
"total": 1.028574888999941,
"mean": 0.03956057265384389,
"stdev": 0.0006553428289391972,
"p50": 0.039335435499992855,
"p90": 0.04024048600001606,
"p95": 0.040827863499998784,
"p99": 0.041614466249995985,
"values": [
0.039338630999992574,
0.03970892899999967,
0.04090875599999322,
0.03896412699998564,
0.03910416800002281,
0.039255183999983956,
0.03906297000000336,
0.039485223000014,
0.03981336199998964,
0.039332239999993135,
0.03956196599997952,
0.03969150699998636,
0.03899011400000063,
0.039626314999992474,
0.03989578600001664,
0.03926674800001706,
0.03893757700001288,
0.03927876999998148,
0.03919565699999339,
0.039685514000012745,
0.0391647889999831,
0.03892936200000463,
0.039133580999987316,
0.04058518600001548,
0.04184970299999691,
0.039808723999982476
]
},
"throughput": {
"unit": "samples/s",
"value": 25.27769273589712
},
"energy": {
"unit": "kWh",
"cpu": 1.5135437504858033e-06,
"ram": 6.325393408840359e-08,
"gpu": 0.0,
"total": 1.5767976845742068e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 634196.7709510156
}
}
}
}