{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "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": {}, "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": "0.3.0", "optimum_benchmark_commit": "19eeac52e408e408898ac1fac3d9abefced0131b", "transformers_version": "4.42.3", "transformers_commit": null, "accelerate_version": "0.31.0", "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": 1028.4032, "max_global_vram": 1122.852864, "max_process_vram": 229403.394048, "max_reserved": 773.849088, "max_allocated": 745.087488 }, "latency": { "unit": "s", "count": 80, "total": 1.0011890211105348, "mean": 0.012514862763881685, "stdev": 0.0006429843948469642, "p50": 0.012178761959075928, "p90": 0.013254919147491455, "p95": 0.013309694814682006, "p99": 0.014329231863021836, "values": [ 0.012785240173339844, 0.013306038856506348, 0.013267159461975098, 0.013379158020019532, 0.013194997787475586, 0.013096439361572265, 0.01311371898651123, 0.013078518867492676, 0.01315003776550293, 0.013253559112548828, 0.01318443775177002, 0.013267958641052246, 0.013268918991088867, 0.0132017183303833, 0.016255308151245117, 0.012678680419921875, 0.01222012233734131, 0.012156441688537597, 0.012147162437438965, 0.012160282135009765, 0.01214588165283203, 0.012199321746826171, 0.012087641716003418, 0.012099481582641602, 0.012152762413024902, 0.012147642135620118, 0.012128602027893067, 0.01218876075744629, 0.012124602317810058, 0.012195322036743164, 0.012121882438659668, 0.012302680969238282, 0.012087962150573731, 0.012196601867675782, 0.012106842041015625, 0.012087162017822266, 0.012161882400512695, 0.012108121871948242, 0.012102521896362305, 0.012193881034851074, 0.012126042366027831, 0.012114521980285644, 0.012175642013549804, 0.012138201713562011, 0.012116601943969726, 0.012187642097473144, 0.012132122039794921, 0.01208684253692627, 0.012225561141967774, 0.012076762199401856, 0.012105081558227539, 0.013238199234008789, 0.012900918960571288, 0.012979958534240723, 0.013027959823608399, 0.01381723690032959, 0.013689236640930176, 0.013015479087829589, 0.01295915985107422, 0.013038199424743652, 0.012882518768310546, 0.012609881401062012, 0.01219900131225586, 0.012149082183837891, 0.012119802474975586, 0.012108121871948242, 0.01211372184753418, 0.012101881980895996, 0.012181881904602052, 0.012090361595153809, 0.012109561920166016, 0.012098201751708984, 0.012190201759338378, 0.0121049222946167, 0.012116282463073731, 0.012109561920166016, 0.012130842208862305, 0.012136281967163086, 0.012258842468261718, 0.012121240615844726 ] }, "throughput": { "unit": "samples/s", "value": 79.90499127853272 }, "energy": null, "efficiency": null } } }