{ "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": {}, "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 7643 48-Core Processor", "cpu_count": 96, "cpu_ram_mb": 1082028.982272, "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": "0.4.0", "optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2", "transformers_version": "4.43.3", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.8", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 903.573504, "max_global_vram": 841.76896, "max_process_vram": 42605.1584, "max_reserved": 555.74528, "max_allocated": 499.374592 }, "latency": { "unit": "s", "count": 1, "total": 6.98378662109375, "mean": 6.98378662109375, "stdev": 0.0, "p50": 6.98378662109375, "p90": 6.98378662109375, "p95": 6.98378662109375, "p99": 6.98378662109375, "values": [ 6.98378662109375 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1017.245696, "max_global_vram": 896.950272, "max_process_vram": 213156.077568, "max_reserved": 555.74528, "max_allocated": 499.4432 }, "latency": { "unit": "s", "count": 148, "total": 1.0007421584129332, "mean": 0.006761771340627928, "stdev": 0.0006183614310135619, "p50": 0.006635862350463867, "p90": 0.006931239938735962, "p95": 0.00715279312133789, "p99": 0.008791982541084292, "values": [ 0.006964983940124511, 0.006879703998565674, 0.007164665222167969, 0.007269625186920166, 0.0075547461509704586, 0.007267545223236084, 0.007292025089263916, 0.007267865180969238, 0.007130744934082031, 0.00710914421081543, 0.006995223999023438, 0.006993144035339355, 0.0069233841896057125, 0.006910583019256592, 0.006872502803802491, 0.006821303844451904, 0.006751543045043946, 0.006676823139190674, 0.006687383174896241, 0.006733623027801514, 0.006699223041534424, 0.006655862808227539, 0.006706742763519287, 0.006786582946777343, 0.009889154434204102, 0.006656342983245849, 0.006663383007049561, 0.006626102924346924, 0.006641942977905274, 0.01319172477722168, 0.005826419830322266, 0.006624503135681152, 0.006617463111877441, 0.006619863033294678, 0.006608181953430175, 0.006641622066497803, 0.006601302146911621, 0.00661154317855835, 0.006635542869567871, 0.006592662811279297, 0.00661650276184082, 0.006596343040466308, 0.006613943099975586, 0.006591541767120361, 0.006613302230834961, 0.006601462841033936, 0.006618903160095215, 0.006653782844543457, 0.006604503154754639, 0.006611863136291504, 0.006610742092132568, 0.0066361818313598634, 0.006645623207092285, 0.006610743045806885, 0.006604982852935791, 0.006627542972564697, 0.0066176228523254395, 0.006602101802825928, 0.0066240220069885255, 0.006615862846374511, 0.00664914321899414, 0.0066097831726074216, 0.00663778305053711, 0.006610582828521729, 0.006605782985687256, 0.0066641831398010255, 0.006674743175506591, 0.006651702880859375, 0.00665522289276123, 0.006650582790374756, 0.0066427431106567385, 0.006637301921844483, 0.006631701946258545, 0.006634902000427246, 0.006619702816009521, 0.006656182765960693, 0.006623222827911377, 0.006602902889251709, 0.006665623188018799, 0.006621462821960449, 0.006642262935638427, 0.006623222827911377, 0.006648022174835205, 0.00667058277130127, 0.006646262168884277, 0.0066387419700622554, 0.006619381904602051, 0.006639382839202881, 0.00661650276184082, 0.006640343189239502, 0.006630743026733398, 0.006624183177947998, 0.006604022979736328, 0.006638903141021729, 0.0066307420730590825, 0.006605301856994629, 0.006620983123779297, 0.006622582912445068, 0.006621142864227295, 0.006623383045196533, 0.006619863033294678, 0.006614902019500732, 0.006657782077789306, 0.006612983226776123, 0.006610581874847412, 0.00684386396408081, 0.006886424064636231, 0.006894904136657715, 0.006741783142089844, 0.007074423789978027, 0.006930903911590576, 0.006932024002075195, 0.006889304161071777, 0.006648983001708984, 0.006746743202209473, 0.0067288241386413575, 0.006667542934417725, 0.006731543064117431, 0.0067779431343078615, 0.006661303043365478, 0.006763544082641602, 0.006774423122406006, 0.006713462829589844, 0.006636343002319336, 0.006636503219604492, 0.006622582912445068, 0.006649622917175293, 0.006601943016052246, 0.006629622936248779, 0.006584661960601807, 0.006627223014831543, 0.006605943202972412, 0.006616343021392823, 0.00661426305770874, 0.006628822803497314, 0.00657570219039917, 0.006598423004150391, 0.006597143173217773, 0.0066006631851196285, 0.006605621814727783, 0.0066277022361755375, 0.006631382942199707, 0.0066006631851196285, 0.0066054630279541015, 0.0066102628707885745, 0.00663234281539917, 0.006624182224273681, 0.006622420787811279 ] }, "throughput": { "unit": "samples/s", "value": 147.89024201269953 }, "energy": null, "efficiency": null } } }