IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
3a3fc74 verified
raw
history blame
8.99 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_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": "0",
"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": true,
"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 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 773.009408,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.43328173828125,
"mean": 7.43328173828125,
"stdev": 0.0,
"p50": 7.43328173828125,
"p90": 7.43328173828125,
"p95": 7.43328173828125,
"p99": 7.43328173828125,
"values": [
7.43328173828125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0892675743054526e-06,
"ram": 5.813666317015276e-07,
"gpu": 1.6472235400003324e-06,
"total": 3.3178577460073127e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1160.450048,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 71,
"total": 1.0026894416809085,
"mean": 0.014122386502548004,
"stdev": 0.00045075575625187693,
"p50": 0.014092288017272948,
"p90": 0.014503935813903808,
"p95": 0.014668799877166749,
"p99": 0.01575337619781494,
"values": [
0.015672256469726562,
0.015257599830627442,
0.014418944358825684,
0.014153727531433105,
0.014332927703857423,
0.01438310432434082,
0.014039039611816406,
0.014118911743164063,
0.01430953598022461,
0.01406156826019287,
0.013938688278198242,
0.014455807685852052,
0.01594265556335449,
0.014526464462280274,
0.014309375762939454,
0.014227456092834472,
0.014092288017272948,
0.0140697603225708,
0.014154751777648926,
0.014050304412841797,
0.014189567565917969,
0.01438310432434082,
0.014295040130615234,
0.014135295867919923,
0.01437286376953125,
0.014180319786071777,
0.014123007774353028,
0.014087167739868164,
0.014326815605163573,
0.014097408294677734,
0.013983648300170898,
0.014045184135437011,
0.014070783615112305,
0.014503935813903808,
0.014338047981262207,
0.014286848068237304,
0.014169088363647461,
0.014141440391540527,
0.01407795238494873,
0.0138854398727417,
0.01388748836517334,
0.013802559852600097,
0.013699071884155273,
0.014404607772827148,
0.014620672225952149,
0.014716927528381347,
0.014516223907470703,
0.01437491226196289,
0.014346240043640136,
0.014333951950073242,
0.014089247703552247,
0.013947903633117676,
0.01387724781036377,
0.013894656181335448,
0.013851584434509278,
0.013423616409301758,
0.01351360034942627,
0.013658111572265624,
0.01356390380859375,
0.013443072319030762,
0.013467647552490235,
0.013320192337036133,
0.01338265609741211,
0.013459456443786622,
0.013570048332214356,
0.013633536338806153,
0.013981696128845214,
0.01408614444732666,
0.01398476791381836,
0.013990912437438965,
0.01363865566253662
]
},
"throughput": {
"unit": "samples/s",
"value": 70.80956181305312
},
"energy": {
"unit": "kWh",
"cpu": 1.6988715288690622e-07,
"ram": 9.271444672106154e-08,
"gpu": 3.529090124857237e-07,
"total": 6.155106120936915e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1624667.3580467568
}
}
}
}