IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
8a2ddd6
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"library": "transformers", | |
"model": "FacebookAI/roberta-base", | |
"processor": "FacebookAI/roberta-base", | |
"device": "cuda", | |
"device_ids": "0", | |
"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": false, | |
"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": true, | |
"device_isolation_action": "error", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 128, | |
"cpu_ram_mb": 1082015.236096, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"Advanced Micro Devices, Inc. [AMD/ATI]" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 68702699520, | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": "f6013cec1a849341c31271831560b1681406c092", | |
"transformers_version": "4.42.3", | |
"transformers_commit": null, | |
"accelerate_version": "0.31.0", | |
"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": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1010.221056, | |
"max_global_vram": 66120.753152, | |
"max_process_vram": 191984.836608, | |
"max_reserved": 555.74528, | |
"max_allocated": 499.443712 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 137, | |
"total": 0.9987488837242129, | |
"mean": 0.007290137837403013, | |
"stdev": 0.00038295204075541623, | |
"p50": 0.007151021003723145, | |
"p90": 0.0076167799949646, | |
"p95": 0.007964618873596192, | |
"p99": 0.008891151275634763, | |
"values": [ | |
0.008811176300048828, | |
0.008134538650512696, | |
0.0075761399269104, | |
0.007533899784088135, | |
0.007252460956573487, | |
0.007017101764678955, | |
0.007030381202697754, | |
0.007050702095031738, | |
0.007081261157989502, | |
0.007067980766296386, | |
0.007025101184844971, | |
0.007070702075958252, | |
0.007098701000213623, | |
0.007371180057525635, | |
0.0072355008125305174, | |
0.007154701232910156, | |
0.007121581077575684, | |
0.0071094207763671875, | |
0.007231020927429199, | |
0.007102381229400634, | |
0.007137421131134033, | |
0.007139020919799804, | |
0.007163021087646484, | |
0.007151021003723145, | |
0.00713054084777832, | |
0.007229741096496582, | |
0.008936137199401855, | |
0.007369421005249024, | |
0.0072606210708618165, | |
0.007244460105895996, | |
0.007182540893554687, | |
0.007086701869964599, | |
0.007122702121734619, | |
0.007129900932312012, | |
0.007102381229400634, | |
0.007064940929412841, | |
0.007124141216278076, | |
0.007113901138305664, | |
0.0070811018943786625, | |
0.007092462062835693, | |
0.007017101764678955, | |
0.007039980888366699, | |
0.007104461193084717, | |
0.007101740837097168, | |
0.00709342098236084, | |
0.007082221984863281, | |
0.007083981037139892, | |
0.0072110209465026855, | |
0.007406859874725342, | |
0.0075563001632690426, | |
0.007664140224456787, | |
0.00994605255126953, | |
0.007038221836090088, | |
0.007110221862792969, | |
0.007115500926971436, | |
0.007024940967559815, | |
0.00721614122390747, | |
0.0070471811294555665, | |
0.007114700794219971, | |
0.007099341869354248, | |
0.007065101146697998, | |
0.007084461212158203, | |
0.007094060897827149, | |
0.007160301208496094, | |
0.0070899009704589845, | |
0.007077901840209961, | |
0.0072178997993469236, | |
0.007128781795501709, | |
0.007263980865478516, | |
0.007682700157165528, | |
0.007845899105072022, | |
0.007084781169891357, | |
0.007027982234954834, | |
0.0072558197975158695, | |
0.00709486198425293, | |
0.00710958194732666, | |
0.00707326078414917, | |
0.007076621055603027, | |
0.007141740798950196, | |
0.007152141094207764, | |
0.0071180610656738285, | |
0.007114221096038818, | |
0.007058221817016602, | |
0.007171660900115967, | |
0.0071190218925476076, | |
0.007126221179962158, | |
0.007110860824584961, | |
0.007457419872283936, | |
0.007624939918518066, | |
0.007598219871520996, | |
0.007554699897766113, | |
0.007588779926300049, | |
0.007450380802154541, | |
0.007496300220489502, | |
0.007515659809112549, | |
0.007611340045928955, | |
0.007451819896697998, | |
0.007417900085449219, | |
0.007430540084838867, | |
0.007424941062927246, | |
0.00723534107208252, | |
0.007268940925598145, | |
0.007059502124786377, | |
0.007108302116394043, | |
0.007358060836791992, | |
0.007954538822174072, | |
0.007504459857940674, | |
0.0070955009460449215, | |
0.0072606210708618165, | |
0.006970541000366211, | |
0.007347341060638428, | |
0.007056621074676514, | |
0.007183341026306153, | |
0.007155500888824463, | |
0.0071187009811401365, | |
0.0071750211715698245, | |
0.007053901195526123, | |
0.007156460762023926, | |
0.007122540950775146, | |
0.007121261119842529, | |
0.007108461856842041, | |
0.007194060802459717, | |
0.007162860870361328, | |
0.007119822025299072, | |
0.007139502048492431, | |
0.007167342185974121, | |
0.007177900791168213, | |
0.007269580841064453, | |
0.007260140895843506, | |
0.00721950101852417, | |
0.0072534198760986325, | |
0.008004939079284668, | |
0.008011658668518067, | |
0.008049419403076172, | |
0.007803500175476074, | |
0.007722698211669922, | |
0.007596940040588379 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 137.17161764340975 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |