IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
7268edb
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": "0.2.1", | |
"optimum_benchmark_commit": "3731aa19b0b76022fb42f78436721c579f50c777", | |
"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": 1028.329472, | |
"max_global_vram": 1123.373056, | |
"max_process_vram": 249092.595712, | |
"max_reserved": 773.849088, | |
"max_allocated": 745.087488 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 74, | |
"total": 1.010702733039856, | |
"mean": 0.013658145041079133, | |
"stdev": 0.0005957757014506536, | |
"p50": 0.013582344055175782, | |
"p90": 0.01451646900177002, | |
"p95": 0.014622659158706666, | |
"p99": 0.015076410694122315, | |
"values": [ | |
0.014269540786743164, | |
0.014209382057189942, | |
0.014414020538330078, | |
0.014566659927368164, | |
0.013858022689819336, | |
0.013671942710876465, | |
0.013583144187927247, | |
0.014311620712280274, | |
0.014251782417297363, | |
0.014467620849609375, | |
0.014244900703430177, | |
0.01431674098968506, | |
0.014171141624450684, | |
0.014334662437438965, | |
0.013932743072509766, | |
0.013675944328308105, | |
0.01514473819732666, | |
0.01325578498840332, | |
0.013501065254211426, | |
0.013064266204833985, | |
0.013257225036621094, | |
0.013159626007080078, | |
0.013288105010986328, | |
0.01301354694366455, | |
0.013037866592407226, | |
0.013428105354309081, | |
0.013017387390136718, | |
0.013020586013793946, | |
0.013479145050048828, | |
0.013059146881103515, | |
0.013502344131469727, | |
0.013128746032714843, | |
0.013032426834106445, | |
0.013441703796386718, | |
0.013120426177978515, | |
0.013040905952453613, | |
0.013075306892395019, | |
0.013655624389648437, | |
0.013100106239318848, | |
0.01315290641784668, | |
0.013132905960083008, | |
0.01313818645477295, | |
0.01307978630065918, | |
0.013729063034057618, | |
0.013098505973815918, | |
0.013068586349487306, | |
0.013041707038879394, | |
0.01298250675201416, | |
0.012879306793212891, | |
0.013361385345458984, | |
0.01289786720275879, | |
0.013360264778137208, | |
0.01385498332977295, | |
0.013681703567504883, | |
0.013687944412231446, | |
0.014282661437988281, | |
0.013679464340209961, | |
0.013811464309692384, | |
0.01362266445159912, | |
0.013636103630065918, | |
0.014115942001342774, | |
0.013581543922424317, | |
0.013679143905639648, | |
0.013180105209350586, | |
0.0129628267288208, | |
0.013038665771484374, | |
0.013973543167114258, | |
0.01464762020111084, | |
0.014954659461975097, | |
0.014515460968017578, | |
0.01460921859741211, | |
0.01459193992614746, | |
0.014516901016235352, | |
0.015051138877868653 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 73.21638458167887 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |