IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
7ae42a5 verified
raw
history blame
9.15 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.dev0",
"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": 1115.623424,
"max_global_vram": 68702.69952,
"max_process_vram": 4936.097792,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"values": [
0.07604875183105468
],
"count": 1,
"total": 0.07604875183105468,
"mean": 0.07604875183105468,
"p50": 0.07604875183105468,
"p90": 0.07604875183105468,
"p95": 0.07604875183105468,
"p99": 0.07604875183105468,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1251.631104,
"max_global_vram": 68702.69952,
"max_process_vram": 256800.374784,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"values": [
0.013764019966125488,
0.013439701080322266,
0.013618740081787109,
0.01339314079284668,
0.01359298038482666,
0.01366162109375,
0.013384499549865723,
0.013639060020446778,
0.01342113971710205,
0.013674260139465332,
0.013515061378479003,
0.013693461418151856,
0.013487859725952149,
0.013755701065063476,
0.013762260437011719,
0.013460659980773925,
0.013487059593200684,
0.013859061241149903,
0.013520501136779784,
0.013600500106811523,
0.01348882007598877,
0.013784339904785156,
0.013419220924377442,
0.01345602035522461,
0.01350897979736328,
0.013790261268615723,
0.013510260581970215,
0.013505780220031738,
0.013515060424804687,
0.013964020729064941,
0.01352865982055664,
0.013565620422363282,
0.01352754020690918,
0.013509140014648438,
0.01395698070526123,
0.013941141128540039,
0.013469779968261719,
0.013713940620422364,
0.013922421455383301,
0.013459699630737305,
0.01346642017364502,
0.013483540534973144,
0.013883541107177735,
0.013541939735412598,
0.01345330047607422,
0.01346946144104004,
0.015340502738952638,
0.014703381538391113,
0.014080981254577636,
0.014195221900939942,
0.01452706241607666,
0.014696022033691407,
0.014914743423461914,
0.014966901779174804,
0.014822583198547363,
0.0164865837097168,
0.014152981758117677,
0.014324661254882812,
0.01461970329284668,
0.014561781883239746,
0.014340340614318848,
0.014247701644897462,
0.014176180839538574,
0.013543861389160156,
0.013466580390930176,
0.013479220390319823,
0.013468501091003417,
0.0137677001953125,
0.013896821022033691,
0.013488341331481933,
0.013461459159851074,
0.013492501258850098,
0.013883540153503418
],
"count": 73,
"total": 1.0106730422973629,
"mean": 0.013844836195854292,
"p50": 0.013618740081787109,
"p90": 0.014608119010925293,
"p95": 0.014859447288513183,
"p99": 0.015661405410766605,
"stdev": 0.0005435902240804246,
"stdev_": 3.9263030373966985
},
"throughput": {
"unit": "samples/s",
"value": 72.22909580536898
},
"energy": null,
"efficiency": null
}
}
}