{ "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", "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": "0.2.1", "optimum_benchmark_commit": "0b24af9d7b7751f74b160dfade73ef78e10964d6", "transformers_version": "4.40.2", "transformers_commit": null, "accelerate_version": "0.30.1", "accelerate_commit": null, "diffusers_version": "0.27.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.3", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "forward": { "memory": { "unit": "MB", "max_ram": 1027.284992, "max_global_vram": 3321.79456, "max_process_vram": 288473.62048, "max_reserved": 773.849088, "max_allocated": 745.087488 }, "latency": { "unit": "s", "count": 76, "total": 0.9978523683547974, "mean": 0.01312963642572102, "stdev": 0.00042577367963565906, "p50": 0.01304428482055664, "p90": 0.013621084213256836, "p95": 0.013887521743774413, "p99": 0.014377961874008178, "values": [ 0.013251005172729492, 0.013822043418884277, 0.01359516429901123, 0.013831482887268067, 0.013216604232788086, 0.013096445083618164, 0.012924924850463867, 0.01281596565246582, 0.012828764915466308, 0.012809725761413574, 0.012773726463317871, 0.012936765670776368, 0.012800125122070313, 0.013037405014038085, 0.012879805564880371, 0.013169883728027344, 0.012902525901794434, 0.013016925811767579, 0.014360281944274902, 0.012977885246276856, 0.012705406188964844, 0.012685565948486329, 0.012484286308288574, 0.012833565711975097, 0.012689406394958497, 0.012856765747070313, 0.012742526054382324, 0.012595326423645019, 0.013149404525756836, 0.013547003746032715, 0.013306043624877929, 0.013110204696655274, 0.012986205101013183, 0.013364764213562011, 0.013258523941040039, 0.012827325820922851, 0.012857404708862305, 0.012651165962219239, 0.012696765899658203, 0.012854366302490235, 0.012667325973510743, 0.012664767265319824, 0.012859326362609863, 0.0127985258102417, 0.012601886749267578, 0.012876605033874512, 0.012716606140136718, 0.012619006156921386, 0.012897725105285645, 0.01338412380218506, 0.013186844825744629, 0.013353564262390137, 0.013298684120178223, 0.013263805389404297, 0.01345244312286377, 0.01328172492980957, 0.013866361618041992, 0.014136762619018554, 0.013521883964538574, 0.013483003616333008, 0.01348828411102295, 0.013174203872680664, 0.013647004127502442, 0.014431001663208008, 0.01395100212097168, 0.013499323844909667, 0.013364124298095702, 0.013561244010925294, 0.01349100399017334, 0.013509564399719239, 0.013194844245910645, 0.013051164627075196, 0.013359804153442383, 0.01260668659210205, 0.01267228603363037, 0.01267036533355713 ] }, "throughput": { "unit": "samples/s", "value": 76.16357129592677 }, "energy": null, "efficiency": null } } }