IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
e5729e0 verified
raw
history blame
9.19 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": 1114.574848,
"max_global_vram": 68702.69952,
"max_process_vram": 4995.104768,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"values": [
0.07588843536376953
],
"count": 1,
"total": 0.07588843536376953,
"mean": 0.07588843536376953,
"p50": 0.07588843536376953,
"p90": 0.07588843536376953,
"p95": 0.07588843536376953,
"p99": 0.07588843536376953,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1250.455552,
"max_global_vram": 68702.69952,
"max_process_vram": 283876.950016,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"values": [
0.013472339630126954,
0.013241620063781738,
0.013373459815979004,
0.013215378761291504,
0.013245940208435059,
0.013101139068603516,
0.013259059906005859,
0.013090099334716797,
0.013558899879455567,
0.013158260345458984,
0.013430258750915528,
0.013196980476379395,
0.01340369987487793,
0.013161619186401368,
0.01348114013671875,
0.01324705982208252,
0.01327825927734375,
0.013663061141967773,
0.013695219993591308,
0.013313618659973145,
0.01324385929107666,
0.01329185962677002,
0.013719220161437989,
0.013321619987487793,
0.013279539108276367,
0.013270580291748046,
0.01363938045501709,
0.013307060241699219,
0.01326353931427002,
0.013416019439697266,
0.013390740394592286,
0.013320500373840333,
0.013285300254821778,
0.013311379432678223,
0.013729141235351563,
0.013321139335632325,
0.013312820434570313,
0.01331842041015625,
0.013718899726867675,
0.01327698040008545,
0.013311698913574218,
0.013298100471496582,
0.013693940162658692,
0.013262100219726562,
0.013320499420166016,
0.013296018600463868,
0.015047382354736329,
0.01484370231628418,
0.013817461013793945,
0.013920499801635742,
0.014086581230163575,
0.01393026065826416,
0.01411618137359619,
0.014872021675109863,
0.014608981132507325,
0.013951061248779296,
0.014034900665283203,
0.013919380187988281,
0.014423542022705078,
0.01398386001586914,
0.014455061912536621,
0.01419282054901123,
0.01426210117340088,
0.01385282039642334,
0.013301939964294433,
0.013369139671325683,
0.01328257942199707,
0.013682420730590821,
0.013308658599853515,
0.013302260398864747,
0.013254258155822754,
0.013782739639282227,
0.013379220008850098,
0.013306578636169434
],
"count": 74,
"total": 1.0047958869934084,
"mean": 0.013578322797208218,
"p50": 0.013345379829406739,
"p90": 0.01416982879638672,
"p95": 0.014508933639526366,
"p99": 0.014919369058609008,
"stdev": 0.0004426187279648201,
"stdev_": 3.259745217250433
},
"throughput": {
"unit": "samples/s",
"value": 73.64679827803224
},
"energy": null,
"efficiency": null
}
}
}