IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
5ec6202
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"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": 16757.342208, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": "a8ccb91469272f9f38883fbf3e14bffcd5e95f2d", | |
"transformers_version": "4.40.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.0", | |
"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": 938.917888, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 28, | |
"total": 1.0058258579999801, | |
"mean": 0.03592235207142786, | |
"stdev": 0.0007848632455756293, | |
"p50": 0.03595088299999816, | |
"p90": 0.036733026899980814, | |
"p95": 0.03702370750005457, | |
"p99": 0.037275087899979555, | |
"values": [ | |
0.03660465500001919, | |
0.03594406100000924, | |
0.03542373899995255, | |
0.035723478000022624, | |
0.03352365699993243, | |
0.037123153000038656, | |
0.03618024200000036, | |
0.03548061399999369, | |
0.03557593300001827, | |
0.036425119999989874, | |
0.034430351999958475, | |
0.035296990999995614, | |
0.036839023000084126, | |
0.03595770499998707, | |
0.03580468000006931, | |
0.03576080799996362, | |
0.034883738999951674, | |
0.03589771400004338, | |
0.03602366899997378, | |
0.03542640399996344, | |
0.03668759999993654, | |
0.03733128299995769, | |
0.036456197000006796, | |
0.0366834620000418, | |
0.035671600999990005, | |
0.03605761300002541, | |
0.03640382000003228, | |
0.03620854500002224 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 27.837820808938233 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.183896835404213e-06, | |
"ram": 4.947704042075946e-08, | |
"gpu": 0.0, | |
"total": 1.2333738758249725e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 810784.1584784057 | |
} | |
} | |
} | |
} |