{ "config": { "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "multiple-choice", "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": {}, "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": 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": "77ca106f4cf33f416814fc4a120313d806701176", "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": { "load": { "memory": { "unit": "MB", "max_ram": 902.156288, "max_global_vram": 3128.38144, "max_process_vram": 42801.553408, "max_reserved": 555.74528, "max_allocated": 499.37152 }, "latency": { "unit": "s", "count": 1, "total": 7.01131689453125, "mean": 7.01131689453125, "stdev": 0.0, "p50": 7.01131689453125, "p90": 7.01131689453125, "p95": 7.01131689453125, "p99": 7.01131689453125, "values": [ 7.01131689453125 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1011.933184, "max_global_vram": 3184.88576, "max_process_vram": 226688.475136, "max_reserved": 555.74528, "max_allocated": 499.5072 }, "latency": { "unit": "s", "count": 135, "total": 0.9973096351623537, "mean": 0.007387478778980395, "stdev": 0.00033195073089233224, "p50": 0.007211185932159424, "p90": 0.007932177066802978, "p95": 0.008119073295593261, "p99": 0.008418399753570557, "values": [ 0.00854270362854004, 0.008163503646850586, 0.008154065132141113, 0.008101743698120117, 0.008020145416259766, 0.00791950511932373, 0.007947185039520265, 0.007936785221099854, 0.0076775851249694825, 0.007664626121520996, 0.0077276649475097655, 0.007631346225738526, 0.007518385887145996, 0.007554386138916016, 0.007528945922851562, 0.007438066005706787, 0.007486705780029297, 0.007403985977172851, 0.007442066192626953, 0.0074631857872009275, 0.007507026195526123, 0.007543025016784668, 0.0074455862045288085, 0.007529905796051025, 0.007594224929809571, 0.0077567858695983885, 0.007429746150970459, 0.008749743461608887, 0.007587026119232178, 0.007327987194061279, 0.00744286584854126, 0.007137746810913086, 0.00728398609161377, 0.007295506000518799, 0.007160306930541992, 0.007132145881652832, 0.007121427059173584, 0.007343505859375, 0.007143986225128174, 0.007144786834716797, 0.007360626220703125, 0.0071358270645141605, 0.007130705833435059, 0.007146546840667725, 0.007144465923309327, 0.007138707160949707, 0.0071422262191772464, 0.007346866130828858, 0.007146546840667725, 0.007143826007843018, 0.007129745960235596, 0.0071479868888854985, 0.0071689457893371585, 0.007135026931762696, 0.007169745922088623, 0.00716974687576294, 0.007153266906738281, 0.007143025875091553, 0.007166707038879395, 0.007144946098327637, 0.007179027080535889, 0.007161426067352295, 0.007123507022857666, 0.007143667221069336, 0.007154225826263428, 0.007148467063903809, 0.007190546035766601, 0.007153747081756592, 0.007163825988769531, 0.007156146049499512, 0.0071719870567321774, 0.00714478588104248, 0.007137746810913086, 0.007135025978088379, 0.007175187110900879, 0.0071767868995666504, 0.007116305828094483, 0.007140946865081787, 0.00716926622390747, 0.007158866882324219, 0.007157586097717285, 0.007145586013793945, 0.0071854271888732914, 0.0071574258804321285, 0.007123507022857666, 0.007139185905456543, 0.0071486268043518065, 0.007163665771484375, 0.007180945873260498, 0.007141107082366943, 0.007166386127471924, 0.007125747203826904, 0.00714094591140747, 0.00715166711807251, 0.0071892662048339846, 0.007178865909576416, 0.007364146232604981, 0.008096944808959962, 0.008133745193481446, 0.008097265243530273, 0.007925264835357666, 0.0075769457817077635, 0.007563024997711182, 0.008112785339355468, 0.007566064834594727, 0.007665105819702148, 0.007669585227966309, 0.007649425983428955, 0.007609425067901611, 0.00758478593826294, 0.007390706062316894, 0.007195345878601074, 0.007197267055511475, 0.007211185932159424, 0.007190865993499756, 0.007210227012634277, 0.007259346008300781, 0.007211185932159424, 0.007183187007904053, 0.007217426776885986, 0.007241106033325196, 0.007244946002960205, 0.00723518705368042, 0.007245905876159668, 0.007201745986938477, 0.0072259058952331544, 0.007255826950073242, 0.007238386154174804, 0.007195826053619385, 0.0074809460639953616, 0.007481105804443359, 0.007467666149139404, 0.00762046480178833, 0.008153424263000489, 0.008177103996276856 ] }, "throughput": { "unit": "samples/s", "value": 135.36417902753257 }, "energy": null, "efficiency": null } } }