{ "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": "91971089040d6dac4da0f6b0a30eec8415a34544", "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": 892.391424, "max_global_vram": 1059.876864, "max_process_vram": 41946.288128, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 6.81422265625, "mean": 6.81422265625, "stdev": 0.0, "p50": 6.81422265625, "p90": 6.81422265625, "p95": 6.81422265625, "p99": 6.81422265625, "values": [ 6.81422265625 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1037.23008, "max_global_vram": 1122.803712, "max_process_vram": 279189.143552, "max_reserved": 773.849088, "max_allocated": 745.086976 }, "latency": { "unit": "s", "count": 79, "total": 1.001032190322876, "mean": 0.012671293548390833, "stdev": 0.001442546217616095, "p50": 0.012405336380004883, "p90": 0.012734937286376953, "p95": 0.013085659027099609, "p99": 0.01953038566589355, "values": [ 0.012581336975097656, 0.012651576995849609, 0.012513176918029785, 0.01250645637512207, 0.012485655784606933, 0.012290776252746582, 0.012160855293273926, 0.012007893562316895, 0.011932534217834473, 0.011998933792114258, 0.012029013633728027, 0.012075094223022461, 0.01204821491241455, 0.011983254432678222, 0.012156854629516602, 0.01228453540802002, 0.015405029296875, 0.012503577232360839, 0.012295254707336426, 0.018439603805541993, 0.01212645435333252, 0.012373656272888183, 0.01231557559967041, 0.012429335594177245, 0.012334775924682618, 0.012306136131286621, 0.012288695335388183, 0.012349656105041504, 0.01230069637298584, 0.01236293601989746, 0.012609657287597656, 0.012644216537475586, 0.012360535621643066, 0.01245893669128418, 0.012375255584716797, 0.012465175628662109, 0.012467896461486817, 0.012455576896667481, 0.012352375984191895, 0.012366455078125, 0.012365175247192382, 0.012388054847717284, 0.012366774559020997, 0.012412055015563965, 0.01239029598236084, 0.012427255630493165, 0.012393976211547851, 0.01239301586151123, 0.012370455741882324, 0.012378456115722657, 0.012393176078796387, 0.01246021556854248, 0.012409976005554199, 0.012437336921691895, 0.023397703170776368, 0.012393495559692384, 0.013063098907470703, 0.013288700103759765, 0.01297653865814209, 0.012733977317810058, 0.012656376838684083, 0.012688377380371093, 0.01273877716064453, 0.012757017135620117, 0.012573657035827636, 0.012474616050720215, 0.012397814750671386, 0.012405336380004883, 0.012420536041259766, 0.012465175628662109, 0.012420056343078613, 0.012438937187194824, 0.012475255966186524, 0.012377015113830566, 0.012459735870361328, 0.012404376029968262, 0.012398775100708009, 0.012437335968017578, 0.012509656906127929 ] }, "throughput": { "unit": "samples/s", "value": 78.91854104563721 }, "energy": null, "efficiency": null } } }