IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
bdfcdb0
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", | |
"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": "0.2.1", | |
"optimum_benchmark_commit": "c1d0b062e90b79e7705510c58cea731c0d90da8a", | |
"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": "1.0.3", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1008.939008, | |
"max_global_vram": 1877.512192, | |
"max_process_vram": 204130.578432, | |
"max_reserved": 555.74528, | |
"max_allocated": 499.443712 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 147, | |
"total": 1.0016516270637514, | |
"mean": 0.006813956646692185, | |
"stdev": 0.00022733697910165202, | |
"p50": 0.006718729019165039, | |
"p90": 0.007058217239379883, | |
"p95": 0.007279194688796997, | |
"p99": 0.007630459051132202, | |
"values": [ | |
0.00808673095703125, | |
0.006698568820953369, | |
0.006675209045410156, | |
0.006651689052581787, | |
0.006655688762664795, | |
0.0068094501495361325, | |
0.006671049118041992, | |
0.0066553688049316405, | |
0.006686570167541504, | |
0.00669904899597168, | |
0.006706249237060547, | |
0.006888169765472412, | |
0.006755528926849365, | |
0.006701129913330078, | |
0.006718729019165039, | |
0.006695689201354981, | |
0.0067267298698425295, | |
0.006857608795166016, | |
0.006724809169769287, | |
0.006900329113006592, | |
0.006700328826904297, | |
0.006730090141296387, | |
0.006939689159393311, | |
0.007000490188598633, | |
0.006722569942474365, | |
0.006926088809967041, | |
0.006736810207366943, | |
0.006739048957824707, | |
0.006993929862976075, | |
0.006768969058990479, | |
0.006720008850097656, | |
0.006701609134674072, | |
0.006728969097137451, | |
0.006744009971618652, | |
0.006877129077911377, | |
0.006719688892364502, | |
0.006720008850097656, | |
0.006701448917388916, | |
0.006732490062713623, | |
0.006696808815002442, | |
0.006965610027313232, | |
0.006683369159698486, | |
0.006694249153137207, | |
0.006733930110931397, | |
0.006708008766174316, | |
0.006686408996582031, | |
0.006891530036926269, | |
0.006855050086975098, | |
0.006702569007873535, | |
0.006695528984069824, | |
0.006708489894866943, | |
0.0066854491233825685, | |
0.006738089084625244, | |
0.006802410125732422, | |
0.006691689014434814, | |
0.006714408874511719, | |
0.006696489810943604, | |
0.006707048892974853, | |
0.006747048854827881, | |
0.007204649925231933, | |
0.006867208957672119, | |
0.00667664909362793, | |
0.006920169830322265, | |
0.0067068891525268555, | |
0.006706890106201172, | |
0.00671536922454834, | |
0.006708488941192627, | |
0.0074288110733032224, | |
0.007113609790802002, | |
0.006724809169769287, | |
0.006733768939971923, | |
0.006703529834747314, | |
0.0067307291030883785, | |
0.00677488899230957, | |
0.0068614501953125, | |
0.006711849212646484, | |
0.006722249984741211, | |
0.006688329219818115, | |
0.0067073688507080075, | |
0.006687689781188965, | |
0.006704809188842774, | |
0.006681768894195556, | |
0.006728169918060303, | |
0.006697128772735596, | |
0.006690729141235352, | |
0.006686570167541504, | |
0.00669136905670166, | |
0.006666728973388672, | |
0.006702569961547852, | |
0.006692328929901123, | |
0.00669904899597168, | |
0.006690729141235352, | |
0.006715209007263184, | |
0.006688649177551269, | |
0.006690568923950195, | |
0.006675048828125, | |
0.006688808917999268, | |
0.006668488979339599, | |
0.006687049865722656, | |
0.006669609069824218, | |
0.006884329795837403, | |
0.006887848854064941, | |
0.007007530212402344, | |
0.006673929214477539, | |
0.006720170021057129, | |
0.006703369140625, | |
0.006928329944610596, | |
0.00691408920288086, | |
0.006691530227661133, | |
0.006696329116821289, | |
0.006681609153747559, | |
0.007266089916229248, | |
0.007633770942687988, | |
0.007626571178436279, | |
0.007625770092010498, | |
0.007619851112365723, | |
0.007321770191192627, | |
0.00711536979675293, | |
0.007138090133666992, | |
0.0071200098991394045, | |
0.007021288871765136, | |
0.007143848896026611, | |
0.007284811019897461, | |
0.006918088912963867, | |
0.006722569942474365, | |
0.006682249069213867, | |
0.006716649055480957, | |
0.006915050029754639, | |
0.006745449066162109, | |
0.006867209911346436, | |
0.00671808910369873, | |
0.006738409042358399, | |
0.006720169067382813, | |
0.0067481689453125, | |
0.006776490211486816, | |
0.006936169147491455, | |
0.006996490001678467, | |
0.0067086491584777835, | |
0.0066932888031005855, | |
0.006696969032287598, | |
0.006707529067993164, | |
0.0067024102210998535, | |
0.006892329216003418, | |
0.006679369926452637, | |
0.006693929195404053, | |
0.006698568820953369, | |
0.0066883301734924315 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 146.75761115760062 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |