IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
d032ba9 verified
raw
history blame
8.87 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": "5",
"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": 1057.886208,
"max_global_vram": 68702.69952,
"max_process_vram": 44619.07968,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.4430869140625,
"mean": 8.4430869140625,
"stdev": 0.0,
"p50": 8.4430869140625,
"p90": 8.4430869140625,
"p95": 8.4430869140625,
"p99": 8.4430869140625,
"values": [
8.4430869140625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1191.829504,
"max_global_vram": 68702.69952,
"max_process_vram": 293378.125824,
"max_reserved": 773.849088,
"max_allocated": 745.086976
},
"latency": {
"unit": "s",
"count": 70,
"total": 1.0109701175689698,
"mean": 0.014442430250985284,
"stdev": 0.0010261607689387008,
"p50": 0.014400748729705811,
"p90": 0.014661899662017822,
"p95": 0.014673754787445068,
"p99": 0.01727330260276796,
"values": [
0.014889386177062989,
0.014675626754760742,
0.014572267532348632,
0.014380908966064454,
0.014236748695373535,
0.014350028038024902,
0.01417130947113037,
0.014321867942810058,
0.014266509056091309,
0.014267949104309082,
0.014314027786254882,
0.014443147659301757,
0.014425228118896485,
0.014486187934875489,
0.014335148811340332,
0.014387308120727539,
0.014443947792053222,
0.014544427871704102,
0.014365867614746093,
0.014408107757568359,
0.01429722785949707,
0.014589386940002442,
0.014349068641662598,
0.014337228775024415,
0.014392428398132324,
0.01456330680847168,
0.014338188171386719,
0.014298349380493165,
0.014357229232788087,
0.014623308181762695,
0.014301227569580079,
0.014425707817077636,
0.02257943916320801,
0.014547467231750488,
0.014483628273010253,
0.01448058795928955,
0.014422348022460937,
0.014665067672729492,
0.014421708106994629,
0.014377388000488281,
0.014327629089355469,
0.01442714786529541,
0.014670987129211426,
0.01436474895477295,
0.014409387588500976,
0.014411467552185059,
0.014308588981628418,
0.014661547660827636,
0.014028109550476075,
0.013560111045837403,
0.014038828849792481,
0.013562991142272949,
0.014035788536071778,
0.013542510986328126,
0.01366619110107422,
0.013379311561584473,
0.01361579132080078,
0.013630670547485351,
0.013734669685363769,
0.014393709182739257,
0.014407788276672363,
0.01445546817779541,
0.014423948287963867,
0.014671466827392577,
0.014438347816467285,
0.014497547149658204,
0.014484107971191406,
0.014438828468322755,
0.014501386642456055,
0.014744746208190917
]
},
"throughput": {
"unit": "samples/s",
"value": 69.24042440376532
},
"energy": null,
"efficiency": null
}
}
}