{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.1+cu124", "_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": true, "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 7R32", "cpu_count": 16, "cpu_ram_mb": 66697.261056, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "NVIDIA A10G" ], "gpu_count": 1, "gpu_vram_mb": 24146608128, "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.45.0", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": "0.30.3", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": "0.13.0", "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 799.551488, "max_global_vram": 1410.859008, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 0.20775526428222657, "mean": 0.20775526428222657, "stdev": 0.0, "p50": 0.20775526428222657, "p90": 0.20775526428222657, "p95": 0.20775526428222657, "p99": 0.20775526428222657, "values": [ 0.20775526428222657 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 2.4413154348217686e-06, "ram": 1.3191674063982213e-06, "gpu": 3.612780667960891e-06, "total": 7.373263509180881e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1188.84352, "max_global_vram": 1442.316288, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 69, "total": 1.011129566192627, "mean": 0.014654051683951116, "stdev": 0.000853694851777217, "p50": 0.014578751564025879, "p90": 0.015185094261169435, "p95": 0.015653888130187987, "p99": 0.0179775891113281, "values": [ 0.015210463523864745, 0.01574195194244385, 0.015903743743896484, 0.015178751945495606, 0.014642175674438476, 0.015097855567932129, 0.014534655570983887, 0.01459712028503418, 0.014891008377075195, 0.01478553581237793, 0.01386393642425537, 0.0139202880859375, 0.01395404815673828, 0.014065664291381836, 0.01397657585144043, 0.01460428810119629, 0.014755840301513673, 0.014592000007629394, 0.014578687667846679, 0.014630911827087402, 0.01453264045715332, 0.0146626558303833, 0.014963711738586426, 0.01485209560394287, 0.014635007858276367, 0.01468518352508545, 0.014818304061889649, 0.014713855743408203, 0.01477222442626953, 0.01458073616027832, 0.014743552207946778, 0.01471180820465088, 0.014610431671142577, 0.014578751564025879, 0.014584832191467285, 0.015394816398620606, 0.016893951416015626, 0.020280319213867186, 0.0155217924118042, 0.014854144096374512, 0.014507007598876954, 0.014574591636657714, 0.014556159973144531, 0.01437491226196289, 0.014502911567687989, 0.014460927963256836, 0.014601216316223145, 0.015143936157226562, 0.014626815795898437, 0.014499839782714843, 0.014431296348571777, 0.014319616317749024, 0.014144512176513671, 0.014116864204406738, 0.014047264099121094, 0.014181376457214356, 0.014056447982788087, 0.01415167999267578, 0.014052351951599122, 0.014109696388244629, 0.01406873607635498, 0.01407487964630127, 0.014090239524841308, 0.014104576110839843, 0.014053376197814941, 0.014117919921875, 0.014047231674194336, 0.014150655746459961, 0.014046208381652832 ] }, "throughput": { "unit": "samples/s", "value": 68.24051269692082 }, "energy": { "unit": "kWh", "cpu": 1.5934828780491785e-07, "ram": 8.659747369205923e-08, "gpu": 3.466076846928938e-07, "total": 5.925534461898707e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1687611.4828628842 } } } }