{ "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_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 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": "0.3.1", "optimum_benchmark_commit": "16c37a2d0a7e1a726b6a2a50e2fbcf32df3b575c", "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": 892.166144, "max_global_vram": 1059.893248, "max_process_vram": 45351.264256, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 6.86793212890625, "mean": 6.86793212890625, "stdev": 0.0, "p50": 6.86793212890625, "p90": 6.86793212890625, "p95": 6.86793212890625, "p99": 6.86793212890625, "values": [ 6.86793212890625 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1036.857344, "max_global_vram": 1122.828288, "max_process_vram": 285589.36064, "max_reserved": 773.849088, "max_allocated": 745.086976 }, "latency": { "unit": "s", "count": 64, "total": 0.9986877775192259, "mean": 0.015604496523737908, "stdev": 0.012239312176057289, "p50": 0.013298005580902099, "p90": 0.014060037994384766, "p95": 0.015078550100326531, "p99": 0.07909192604064935, "values": [ 0.01594352626800537, 0.013799845695495605, 0.013566564559936524, 0.013534086227416992, 0.013484326362609864, 0.013565765380859376, 0.015232006072998046, 0.014160805702209473, 0.013944005966186524, 0.013827046394348145, 0.013834565162658692, 0.014109766006469727, 0.014208966255187989, 0.013925765991210938, 0.06945635223388671, 0.01380064582824707, 0.013491685867309571, 0.013408644676208496, 0.013394246101379395, 0.013327525138854981, 0.01324576473236084, 0.013286725997924805, 0.013254565238952637, 0.013391366004943847, 0.013239364624023437, 0.013307846069335938, 0.013350245475769042, 0.01322640609741211, 0.013288165092468262, 0.013448326110839844, 0.013461125373840333, 0.013807525634765625, 0.013647846221923828, 0.01357696533203125, 0.01353376579284668, 0.09549844360351563, 0.013630085945129395, 0.013170885086059571, 0.01302464485168457, 0.01302176570892334, 0.01297008514404297, 0.013000645637512208, 0.013034404754638672, 0.013014405250549317, 0.012969125747680664, 0.012992804527282714, 0.013029925346374512, 0.013003206253051758, 0.012946084976196289, 0.013050085067749023, 0.013047845840454101, 0.013207844734191895, 0.013190885543823243, 0.01327472496032715, 0.013431845664978027, 0.013229925155639649, 0.013242884635925293, 0.013256806373596192, 0.013183844566345216, 0.01323024559020996, 0.013236644744873047, 0.013234724998474121, 0.013239205360412598, 0.013241605758666992 ] }, "throughput": { "unit": "samples/s", "value": 64.0840925869526 }, "energy": null, "efficiency": null } } }