{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.0+rocm6.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "model_type": "deberta-v2", "model": "microsoft/deberta-v3-base", "processor": "microsoft/deberta-v3-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": 1082015.256576, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-101-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": null, "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.1", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 1374.171136, "max_global_vram": 0.0, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.8211630859375, "mean": 7.8211630859375, "stdev": 0.0, "p50": 7.8211630859375, "p90": 7.8211630859375, "p95": 7.8211630859375, "p99": 7.8211630859375, "values": [ 7.8211630859375 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1537.859584, "max_global_vram": 0.0, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 745.086976 }, "latency": { "unit": "s", "count": 70, "total": 1.0048157081604003, "mean": 0.014354510116577148, "stdev": 0.0006998602608446172, "p50": 0.014274752616882325, "p90": 0.015382380676269531, "p95": 0.015417909240722656, "p99": 0.016172993774414068, "values": [ 0.015660429000854494, 0.014923311233520508, 0.014743631362915038, 0.014742991447448731, 0.01459083080291748, 0.014586671829223633, 0.014473072052001953, 0.014281392097473145, 0.014183793067932129, 0.014553711891174317, 0.014383312225341796, 0.014314191818237305, 0.014232592582702637, 0.01731386375427246, 0.014493391990661622, 0.013963633537292481, 0.013950353622436523, 0.014131954193115234, 0.014268113136291503, 0.014454031944274902, 0.013852913856506348, 0.014144753456115723, 0.013671955108642579, 0.013778034210205079, 0.013447154998779296, 0.013763154983520508, 0.014186033248901367, 0.014009714126586914, 0.014020913124084473, 0.01437707233428955, 0.013947473526000977, 0.013909073829650878, 0.01348731517791748, 0.013493715286254883, 0.013534355163574218, 0.014307473182678223, 0.013509394645690918, 0.013873554229736329, 0.01377147388458252, 0.013480114936828613, 0.013523795127868653, 0.013473715782165527, 0.013797233581542969, 0.013511795043945313, 0.013507155418395997, 0.013532915115356446, 0.013525554656982422, 0.014065552711486816, 0.014231152534484863, 0.014463791847229004, 0.014546192169189454, 0.014261391639709473, 0.014397872924804687, 0.013843793869018555, 0.01484986972808838, 0.014529071807861327, 0.014553071975708008, 0.014667470932006836, 0.014703150749206542, 0.01469227123260498, 0.014854670524597168, 0.015328108787536621, 0.015322189331054687, 0.015443469047546387, 0.015391308784484864, 0.015381388664245606, 0.015379469871520996, 0.015392108917236328, 0.015420429229736328, 0.015414829254150391 ] }, "throughput": { "unit": "samples/s", "value": 69.66451602170393 }, "energy": null, "efficiency": null } } }