IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
567218c verified
raw
history blame
7.22 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"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": {},
"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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "0bd7e1264053df25f4ad4ebdeb2790e945a18460",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 947.687424,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.267497146999972,
"mean": 4.267497146999972,
"stdev": 0.0,
"p50": 4.267497146999972,
"p90": 4.267497146999972,
"p95": 4.267497146999972,
"p99": 4.267497146999972,
"values": [
4.267497146999972
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.765009266111236e-05,
"ram": 1.991543910051637e-06,
"gpu": 0,
"total": 4.9641636571163994e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 955.027456,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 33,
"total": 1.0159591510003452,
"mean": 0.0307866409394044,
"stdev": 0.0004860122689375071,
"p50": 0.030704351000053975,
"p90": 0.03127454699999817,
"p95": 0.0319241512000076,
"p99": 0.03210359091998043,
"values": [
0.031880818000047384,
0.031989150999947924,
0.03125740300004054,
0.030684855000004063,
0.030489699999975528,
0.030687038000053235,
0.03041012099998852,
0.03111065000001645,
0.03104592799996908,
0.030704351000053975,
0.030725619999998344,
0.03073794300001964,
0.030866402999947695,
0.030795962000013333,
0.030940712000017356,
0.03127883299998757,
0.030476495000016257,
0.03054797800001552,
0.030555192000008446,
0.03058319400003029,
0.030399942000030933,
0.03048389899998938,
0.030801552000014,
0.03086148500000263,
0.03068200800004206,
0.03075696900003777,
0.030712646000040422,
0.030329940999990868,
0.03064168299999892,
0.03215744499999573,
0.030534473000045637,
0.03000345200001675,
0.02982530899998892
]
},
"throughput": {
"unit": "samples/s",
"value": 32.48162090720593
},
"energy": {
"unit": "kWh",
"cpu": 1.1993188218855152e-06,
"ram": 5.012173697545858e-08,
"gpu": 0.0,
"total": 1.2494405588609738e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 800358.2026436127
}
}
}
}