IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
2168af9
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": "6", | |
| "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": "0.34.2", | |
| "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": "0.12.0", | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1056.960512, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 47154.93376, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 736.603648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 8.7640234375, | |
| "mean": 8.7640234375, | |
| "stdev": 0.0, | |
| "p50": 8.7640234375, | |
| "p90": 8.7640234375, | |
| "p95": 8.7640234375, | |
| "p99": 8.7640234375, | |
| "values": [ | |
| 8.7640234375 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1190.985728, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 296976.40448, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.086976 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 75, | |
| "total": 1.0003077135086056, | |
| "mean": 0.013337436180114744, | |
| "stdev": 0.001438782670924484, | |
| "p50": 0.01295442771911621, | |
| "p90": 0.014309918022155761, | |
| "p95": 0.014741839218139648, | |
| "p99": 0.019437880554199243, | |
| "values": [ | |
| 0.013659387588500977, | |
| 0.01296450710296631, | |
| 0.012876667022705079, | |
| 0.012898107528686524, | |
| 0.012996506690979005, | |
| 0.013119868278503418, | |
| 0.013457148551940919, | |
| 0.012646586418151855, | |
| 0.01234114646911621, | |
| 0.01231186580657959, | |
| 0.012231386184692383, | |
| 0.01223442554473877, | |
| 0.012306105613708497, | |
| 0.012468666076660155, | |
| 0.023182287216186523, | |
| 0.01616131591796875, | |
| 0.013132026672363281, | |
| 0.012864188194274902, | |
| 0.01305602741241455, | |
| 0.012957147598266602, | |
| 0.012652986526489258, | |
| 0.012865786552429198, | |
| 0.01313666820526123, | |
| 0.012791546821594238, | |
| 0.013150748252868652, | |
| 0.012992027282714844, | |
| 0.013451228141784668, | |
| 0.012937787055969239, | |
| 0.012938748359680176, | |
| 0.013021467208862304, | |
| 0.013150906562805176, | |
| 0.012846427917480469, | |
| 0.012873786926269531, | |
| 0.01270562744140625, | |
| 0.01295442771911621, | |
| 0.01269106674194336, | |
| 0.01269730567932129, | |
| 0.01271794605255127, | |
| 0.012923068046569824, | |
| 0.012682746887207032, | |
| 0.012715867042541504, | |
| 0.012718747138977051, | |
| 0.012985946655273438, | |
| 0.01267842674255371, | |
| 0.01272146701812744, | |
| 0.012685306549072265, | |
| 0.012981468200683594, | |
| 0.018122278213500976, | |
| 0.012847387313842773, | |
| 0.013543548583984375, | |
| 0.013851709365844726, | |
| 0.013556029319763184, | |
| 0.013581628799438477, | |
| 0.013130587577819824, | |
| 0.013294108390808105, | |
| 0.012739706993103027, | |
| 0.01268162727355957, | |
| 0.012691547393798828, | |
| 0.012952346801757813, | |
| 0.012785946846008301, | |
| 0.012714747428894044, | |
| 0.01286546802520752, | |
| 0.013009306907653808, | |
| 0.012856186866760254, | |
| 0.014255870819091796, | |
| 0.014298110008239747, | |
| 0.014335390090942382, | |
| 0.013565949440002441, | |
| 0.013775548934936523, | |
| 0.013489628791809082, | |
| 0.014909951210021973, | |
| 0.014317790031433105, | |
| 0.014669791221618652, | |
| 0.014363071441650391, | |
| 0.013567547798156738 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 74.97692858624025 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |