IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
03387be verified
raw
history blame
9.27 kB
{
"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": 1082014.482432,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-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": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"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": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1115.021312,
"max_global_vram": 68702.69952,
"max_process_vram": 4937.015296,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"values": [
0.07453192901611329
],
"count": 1,
"total": 0.07453192901611329,
"mean": 0.07453192901611329,
"p50": 0.07453192901611329,
"p90": 0.07453192901611329,
"p95": 0.07453192901611329,
"p99": 0.07453192901611329,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1251.139584,
"max_global_vram": 68702.69952,
"max_process_vram": 273850.912768,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"values": [
0.01335505485534668,
0.012946254730224609,
0.013262095451354981,
0.013086094856262206,
0.01326433563232422,
0.01278129482269287,
0.01294193458557129,
0.012830735206604004,
0.013134414672851563,
0.013059535026550294,
0.01315265464782715,
0.012825935363769532,
0.012946575164794923,
0.012825295448303223,
0.012978095054626465,
0.0128910551071167,
0.013071375846862793,
0.01286977481842041,
0.012913615226745605,
0.012920974731445312,
0.013038095474243163,
0.012844494819641113,
0.012876174926757812,
0.012844815254211425,
0.013028815269470214,
0.012941454887390137,
0.012864495277404785,
0.012827215194702148,
0.013111695289611817,
0.012923535346984863,
0.012885455131530762,
0.012888654708862305,
0.012836654663085938,
0.013053935050964355,
0.012879534721374512,
0.01287681484222412,
0.012876014709472656,
0.01423057746887207,
0.014609777450561523,
0.014644177436828613,
0.01426193618774414,
0.014103055953979492,
0.013516176223754882,
0.013627695083618165,
0.014286735534667968,
0.014998897552490235,
0.014710897445678712,
0.013817935943603516,
0.012980654716491699,
0.01342657470703125,
0.012991535186767577,
0.013014575004577637,
0.012982575416564942,
0.013120655059814454,
0.01301265525817871,
0.01325169563293457,
0.013013455390930176,
0.013307854652404786,
0.013026575088500976,
0.0130787353515625,
0.013097134590148926,
0.013266895294189453,
0.013096495628356934,
0.013068655014038085,
0.013007214546203613,
0.01306177520751953,
0.013049135208129883,
0.013289775848388672,
0.01307601547241211,
0.013019055366516112,
0.013034575462341309,
0.01333841609954834,
0.01302737522125244,
0.013044815063476562,
0.01300017547607422,
0.013340814590454102
],
"count": 76,
"total": 1.0034886846542357,
"mean": 0.013203798482292578,
"p50": 0.013036335468292236,
"p90": 0.013960495948791504,
"p95": 0.014367496013641356,
"p99": 0.014782897472381592,
"stdev": 0.00048538715340772223,
"stdev_": 3.676117551011308
},
"throughput": {
"unit": "samples/s",
"value": 75.73578174046547
},
"energy": null,
"efficiency": null
}
}
}