IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
715bdc3
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_type": "roberta", | |
"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": "73dd36ea04ff1cc8259f4039b6f9d56dfb9eecd1", | |
"transformers_version": "4.42.4", | |
"transformers_commit": null, | |
"accelerate_version": "0.32.1", | |
"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": 1009.963008, | |
"max_global_vram": 897.159168, | |
"max_process_vram": 143424.16384, | |
"max_reserved": 555.74528, | |
"max_allocated": 499.443712 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 132, | |
"total": 0.9987108578681946, | |
"mean": 0.007565991347486322, | |
"stdev": 0.000648445477705279, | |
"p50": 0.007365072965621948, | |
"p90": 0.008027419662475586, | |
"p95": 0.008628904771804807, | |
"p99": 0.00968346085548401, | |
"values": [ | |
0.008104907989501952, | |
0.007098674774169922, | |
0.007117393970489502, | |
0.007002035140991211, | |
0.007052433967590332, | |
0.007022994995117188, | |
0.006911795139312744, | |
0.006798195838928223, | |
0.006813876152038574, | |
0.0067884368896484375, | |
0.007013875007629395, | |
0.00761211109161377, | |
0.007425392150878906, | |
0.007508912086486816, | |
0.007978827953338622, | |
0.008759143829345704, | |
0.00912746238708496, | |
0.009481538772583007, | |
0.011899603843688964, | |
0.00969625759124756, | |
0.008861542701721192, | |
0.008522345542907714, | |
0.008314987182617188, | |
0.008096108436584473, | |
0.00800602912902832, | |
0.007962508201599121, | |
0.007968268871307372, | |
0.008155627250671387, | |
0.00799354887008667, | |
0.008004749298095703, | |
0.008046828269958495, | |
0.008011947631835938, | |
0.008002348899841309, | |
0.007996428966522216, | |
0.008028107643127442, | |
0.007992108821868897, | |
0.007639951229095459, | |
0.007613231182098388, | |
0.007643950939178467, | |
0.0076196308135986325, | |
0.00767179012298584, | |
0.007646831035614013, | |
0.007673551082611084, | |
0.007667311191558838, | |
0.007630190849304199, | |
0.007637391090393067, | |
0.00761595106124878, | |
0.009654977798461913, | |
0.008021227836608887, | |
0.007982988834381104, | |
0.007995468139648437, | |
0.007674510955810547, | |
0.007641709804534912, | |
0.0074823517799377445, | |
0.007060914993286133, | |
0.007268434047698975, | |
0.007387312889099121, | |
0.007289712905883789, | |
0.0072927532196044925, | |
0.007067793846130371, | |
0.00710331392288208, | |
0.007176593780517578, | |
0.007128593921661377, | |
0.0071940340995788575, | |
0.00716443395614624, | |
0.007294353008270264, | |
0.007235312938690185, | |
0.007306832790374756, | |
0.0074775519371032715, | |
0.00756139087677002, | |
0.007283312797546387, | |
0.007191954135894775, | |
0.007258193016052246, | |
0.007547951221466064, | |
0.0077140297889709475, | |
0.00785306978225708, | |
0.007689071178436279, | |
0.007312912940979004, | |
0.00771819019317627, | |
0.008011947631835938, | |
0.007977869033813477, | |
0.007961708068847656, | |
0.00799786901473999, | |
0.007973547935485839, | |
0.007522672176361084, | |
0.007375792026519775, | |
0.007471951961517334, | |
0.007464431762695313, | |
0.007477550983428955, | |
0.007468272209167481, | |
0.007415631771087647, | |
0.007365872859954834, | |
0.007177873134613037, | |
0.007157554149627685, | |
0.007202514171600342, | |
0.007902509212493896, | |
0.00731691312789917, | |
0.0073642730712890625, | |
0.007148114204406739, | |
0.007146674156188965, | |
0.007108593940734863, | |
0.00725963306427002, | |
0.007147634029388427, | |
0.007157554149627685, | |
0.00701355504989624, | |
0.007228913784027099, | |
0.007201553821563721, | |
0.007345552921295166, | |
0.007167473793029785, | |
0.007149553775787353, | |
0.007117234230041504, | |
0.0072209138870239255, | |
0.007190033912658691, | |
0.007167634010314942, | |
0.007182034015655517, | |
0.007157713890075684, | |
0.007291633129119873, | |
0.007169394016265869, | |
0.00716443395614624, | |
0.007147634983062744, | |
0.007148754119873047, | |
0.007134833812713623, | |
0.007239153861999512, | |
0.007191314220428467, | |
0.007136754035949707, | |
0.00715787410736084, | |
0.007190834045410157, | |
0.007168114185333252, | |
0.007155313968658448, | |
0.007120913028717041, | |
0.007151473999023437, | |
0.007156914234161377 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 132.17038641370291 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |