IlyasMoutawwakil's picture
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
8b3a36a verified
raw
history blame
9.11 kB
{
"config": {
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_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": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 707.8912,
"max_global_vram": 1403.518976,
"max_process_vram": 0.0,
"max_reserved": 773.849088,
"max_allocated": 736.603648
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.20964111328125,
"mean": 7.20964111328125,
"stdev": 0.0,
"p50": 7.20964111328125,
"p90": 7.20964111328125,
"p95": 7.20964111328125,
"p99": 7.20964111328125,
"values": [
7.20964111328125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.068446371290419e-06,
"ram": 5.675120922022833e-07,
"gpu": 1.7244458240008032e-06,
"total": 3.360404287493505e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 990.22848,
"max_global_vram": 1434.976256,
"max_process_vram": 0.0,
"max_reserved": 794.820608,
"max_allocated": 753.606656
},
"latency": {
"unit": "s",
"count": 74,
"total": 1.009374242782593,
"mean": 0.01364019247003504,
"stdev": 0.000513095938563319,
"p50": 0.013639679908752441,
"p90": 0.01406622085571289,
"p95": 0.014649518156051635,
"p99": 0.015094707708358761,
"values": [
0.015501312255859375,
0.014937088012695313,
0.01476198387145996,
0.014350336074829101,
0.014588959693908691,
0.013826047897338867,
0.013769663810729981,
0.013915072441101075,
0.013971455574035644,
0.013837311744689941,
0.013925439834594726,
0.013998080253601074,
0.013919232368469238,
0.013846528053283692,
0.013912063598632812,
0.013810688018798829,
0.01375641632080078,
0.013741056442260742,
0.013854720115661622,
0.014022656440734863,
0.01407699203491211,
0.01494431972503662,
0.014041088104248046,
0.014022656440734863,
0.01384447956085205,
0.013648896217346192,
0.01358847999572754,
0.013840383529663085,
0.013753408432006837,
0.013543423652648925,
0.013643775939941406,
0.01388748836517334,
0.013961248397827149,
0.014014464378356933,
0.013763584136962891,
0.013635583877563476,
0.013760512351989745,
0.013585408210754395,
0.013752320289611816,
0.013505536079406738,
0.013261823654174805,
0.013549568176269532,
0.013720576286315917,
0.01419264030456543,
0.013541536331176758,
0.01325551986694336,
0.013281279563903809,
0.013148159980773925,
0.013291520118713379,
0.01314406394958496,
0.013125632286071777,
0.013133824348449707,
0.013122559547424317,
0.01319321632385254,
0.013453311920166015,
0.013253600120544433,
0.013275135993957519,
0.01325881576538086,
0.013208576202392578,
0.013180928230285644,
0.013240256309509278,
0.013154303550720215,
0.013286399841308593,
0.013245439529418946,
0.013209600448608399,
0.013579263687133789,
0.013422592163085938,
0.012744704246520995,
0.012694527626037597,
0.012780544281005859,
0.01268835163116455,
0.013476863861083984,
0.01307545566558838,
0.013123488426208496
]
},
"throughput": {
"unit": "samples/s",
"value": 73.31274849653431
},
"energy": {
"unit": "kWh",
"cpu": 1.499082804061525e-07,
"ram": 8.19581187092933e-08,
"gpu": 3.293392226835383e-07,
"total": 5.612056217989841e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 1781878.0873834258
}
}
}
}