IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
ab3bc1a
verified
| { | |
| "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": "c8d76f6e24e813974534bb204a76658d503b7b1f", | |
| "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": 892.407808, | |
| "max_global_vram": 1059.88096, | |
| "max_process_vram": 43922.41152, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 736.603648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 6.70115625, | |
| "mean": 6.70115625, | |
| "stdev": 0.0, | |
| "p50": 6.70115625, | |
| "p90": 6.70115625, | |
| "p95": 6.70115625, | |
| "p99": 6.70115625, | |
| "values": [ | |
| 6.70115625 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1037.094912, | |
| "max_global_vram": 1122.816, | |
| "max_process_vram": 292274.589696, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.086976 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 79, | |
| "total": 1.0067860603332517, | |
| "mean": 0.012744127345990534, | |
| "stdev": 0.0007554362802109836, | |
| "p50": 0.01253385353088379, | |
| "p90": 0.013236474990844726, | |
| "p95": 0.013359721946716308, | |
| "p99": 0.015086621494293209, | |
| "values": [ | |
| 0.013685848236083984, | |
| 0.013439929008483887, | |
| 0.013350810050964355, | |
| 0.013246331214904785, | |
| 0.013235771179199218, | |
| 0.013115131378173828, | |
| 0.013061691284179687, | |
| 0.01306649112701416, | |
| 0.013083291053771973, | |
| 0.013300410270690918, | |
| 0.013239290237426758, | |
| 0.013151129722595216, | |
| 0.014106165885925294, | |
| 0.013043291091918945, | |
| 0.01281257152557373, | |
| 0.01275721263885498, | |
| 0.012787291526794434, | |
| 0.01278441333770752, | |
| 0.012883292198181153, | |
| 0.012799772262573242, | |
| 0.012859453201293945, | |
| 0.012848093032836913, | |
| 0.01282169246673584, | |
| 0.012830012321472168, | |
| 0.012898012161254883, | |
| 0.012894492149353027, | |
| 0.012840091705322266, | |
| 0.012909852027893066, | |
| 0.012867292404174805, | |
| 0.012667134284973144, | |
| 0.012357535362243653, | |
| 0.012435614585876465, | |
| 0.018562782287597657, | |
| 0.012373854637145996, | |
| 0.012418973922729492, | |
| 0.012296575546264649, | |
| 0.012257216453552246, | |
| 0.01230633544921875, | |
| 0.012399614334106445, | |
| 0.012357535362243653, | |
| 0.01227961540222168, | |
| 0.012305375099182128, | |
| 0.012323934555053711, | |
| 0.012350335121154785, | |
| 0.01235721492767334, | |
| 0.012470973968505859, | |
| 0.012566814422607422, | |
| 0.01246329402923584, | |
| 0.012356254577636719, | |
| 0.01228665542602539, | |
| 0.012325055122375488, | |
| 0.012446014404296876, | |
| 0.01253385353088379, | |
| 0.012455933570861817, | |
| 0.012473854064941406, | |
| 0.012493214607238769, | |
| 0.01271129322052002, | |
| 0.012836572647094726, | |
| 0.012778331756591797, | |
| 0.012910971641540528, | |
| 0.012791933059692383, | |
| 0.012560733795166016, | |
| 0.012492894172668457, | |
| 0.012585054397583008, | |
| 0.012476413726806641, | |
| 0.012474173545837403, | |
| 0.012392094612121582, | |
| 0.012345535278320312, | |
| 0.012324095726013184, | |
| 0.012367774963378906, | |
| 0.01237513542175293, | |
| 0.012332895278930663, | |
| 0.012353215217590332, | |
| 0.01236921501159668, | |
| 0.012328095436096191, | |
| 0.012337695121765137, | |
| 0.012294974327087402, | |
| 0.012345375061035157, | |
| 0.012360895156860351 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 78.467514710971 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |