IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
61ffe19
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+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": "4", | |
| "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": "warn", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.256576, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 8, | |
| "gpu_vram_mb": 549621596160, | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": "0.12.0", | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1056.858112, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 47393.677312, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 736.603648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 8.638642578125, | |
| "mean": 8.638642578125, | |
| "stdev": 0.0, | |
| "p50": 8.638642578125, | |
| "p90": 8.638642578125, | |
| "p95": 8.638642578125, | |
| "p99": 8.638642578125, | |
| "values": [ | |
| 8.638642578125 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1190.858752, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 297069.637632, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.086976 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 69, | |
| "total": 1.0050348987579347, | |
| "mean": 0.014565723170404847, | |
| "stdev": 0.0010369711070774435, | |
| "p50": 0.014332425117492676, | |
| "p90": 0.015092838096618653, | |
| "p95": 0.015239910316467285, | |
| "p99": 0.01882708908081052, | |
| "values": [ | |
| 0.015098341941833496, | |
| 0.015246182441711427, | |
| 0.01512154197692871, | |
| 0.015230502128601074, | |
| 0.015091462135314941, | |
| 0.014971623420715332, | |
| 0.014192106246948243, | |
| 0.014570664405822754, | |
| 0.014395625114440917, | |
| 0.014583785057067871, | |
| 0.014203946113586425, | |
| 0.01446922492980957, | |
| 0.0170548152923584, | |
| 0.01438570499420166, | |
| 0.014262505531311035, | |
| 0.014220906257629394, | |
| 0.014234186172485352, | |
| 0.021568077087402344, | |
| 0.014434185028076172, | |
| 0.014292745590209962, | |
| 0.014262986183166505, | |
| 0.01426314640045166, | |
| 0.014200905799865722, | |
| 0.01449162483215332, | |
| 0.014318506240844726, | |
| 0.014262025833129882, | |
| 0.014268106460571289, | |
| 0.01447690486907959, | |
| 0.013464268684387206, | |
| 0.013350349426269531, | |
| 0.013273070335388184, | |
| 0.013887147903442382, | |
| 0.01451674461364746, | |
| 0.01397546672821045, | |
| 0.014293545722961426, | |
| 0.014305865287780762, | |
| 0.014323785781860351, | |
| 0.014231465339660644, | |
| 0.014293386459350585, | |
| 0.014573703765869141, | |
| 0.014525224685668945, | |
| 0.014373385429382324, | |
| 0.014298825263977051, | |
| 0.01429770565032959, | |
| 0.014598343849182129, | |
| 0.014315786361694336, | |
| 0.014315465927124023, | |
| 0.014332425117492676, | |
| 0.01418954563140869, | |
| 0.014610664367675781, | |
| 0.014394185066223145, | |
| 0.014360265731811523, | |
| 0.014294025421142578, | |
| 0.01431082534790039, | |
| 0.014681384086608887, | |
| 0.014286826133728028, | |
| 0.014302824974060059, | |
| 0.01431130599975586, | |
| 0.014279464721679687, | |
| 0.014647784233093262, | |
| 0.014372105598449708, | |
| 0.014390186309814453, | |
| 0.014417065620422363, | |
| 0.014502505302429199, | |
| 0.01753721237182617, | |
| 0.014252905845642089, | |
| 0.0144293851852417, | |
| 0.014372104644775391, | |
| 0.014374025344848633 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 68.65433238713719 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |