IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
3044f44
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": "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": {}, | |
| "hub_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, | |
| "latency": true, | |
| "memory": 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 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.236096, | |
| "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": "0.3.0", | |
| "optimum_benchmark_commit": "57f6495c03ea0fa48e157048c97add150dcd765c", | |
| "transformers_version": "4.42.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.31.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.7", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1028.235264, | |
| "max_global_vram": 1122.873344, | |
| "max_process_vram": 229406.285824, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 74, | |
| "total": 0.9997663888931275, | |
| "mean": 0.013510356606663883, | |
| "stdev": 0.0005014043483774389, | |
| "p50": 0.01343504285812378, | |
| "p90": 0.013944986152648926, | |
| "p95": 0.014056968116760254, | |
| "p99": 0.01492750979423522, | |
| "values": [ | |
| 0.013394164085388184, | |
| 0.013874635696411133, | |
| 0.014058631896972656, | |
| 0.013770797729492187, | |
| 0.013662479400634765, | |
| 0.013673998832702637, | |
| 0.013463923454284668, | |
| 0.013675759315490723, | |
| 0.013769678115844727, | |
| 0.013494161605834961, | |
| 0.013672879219055176, | |
| 0.013538320541381836, | |
| 0.013822957038879395, | |
| 0.013479601860046387, | |
| 0.013894474983215332, | |
| 0.013358485221862794, | |
| 0.013689679145812988, | |
| 0.013362805366516113, | |
| 0.013713357925415039, | |
| 0.014056072235107422, | |
| 0.01402119255065918, | |
| 0.016779224395751954, | |
| 0.013519441604614258, | |
| 0.013117209434509277, | |
| 0.013334164619445801, | |
| 0.01310664939880371, | |
| 0.013318486213684082, | |
| 0.013033049583435059, | |
| 0.01331720542907715, | |
| 0.013103770256042481, | |
| 0.013322484970092774, | |
| 0.013283125877380371, | |
| 0.013257685661315919, | |
| 0.013022809982299806, | |
| 0.01353640079498291, | |
| 0.01323544692993164, | |
| 0.01332264518737793, | |
| 0.013026651382446288, | |
| 0.013542001724243163, | |
| 0.013103609085083007, | |
| 0.013304085731506347, | |
| 0.013011931419372558, | |
| 0.013330486297607422, | |
| 0.013066969871520995, | |
| 0.013355765342712402, | |
| 0.013085370063781738, | |
| 0.013386484146118163, | |
| 0.013040410995483398, | |
| 0.013452082633972169, | |
| 0.013155609130859376, | |
| 0.013303924560546875, | |
| 0.01391911506652832, | |
| 0.014149991035461426, | |
| 0.013727437973022462, | |
| 0.014003753662109375, | |
| 0.013956073760986329, | |
| 0.013475603103637695, | |
| 0.01311448860168457, | |
| 0.013478001594543458, | |
| 0.013802797317504882, | |
| 0.014242629051208495, | |
| 0.01369239902496338, | |
| 0.013902154922485352, | |
| 0.013680719375610351, | |
| 0.013418003082275391, | |
| 0.013128409385681153, | |
| 0.013084568977355958, | |
| 0.013052570343017577, | |
| 0.013619440078735352, | |
| 0.013131768226623534, | |
| 0.013078968048095703, | |
| 0.013084568977355958, | |
| 0.013789517402648926, | |
| 0.013010170936584473 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 74.01729126133928 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |