IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
a46a26d verified
raw
history blame
12 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "timm",
"model_type": "resnet50",
"model": "timm/resnet50.a1_in1k",
"processor": "timm/resnet50.a1_in1k",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": false,
"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": "4.43.2",
"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": 789.327872,
"max_global_vram": 709.361664,
"max_process_vram": 0.0,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.46722216796875,
"mean": 7.46722216796875,
"stdev": 0.0,
"p50": 7.46722216796875,
"p90": 7.46722216796875,
"p95": 7.46722216796875,
"p99": 7.46722216796875,
"values": [
7.46722216796875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.308220081859165e-06,
"ram": 2.3459129801239937e-06,
"gpu": 6.568616366012248e-06,
"total": 1.3222749427995406e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 976.330752,
"max_global_vram": 1049.100288,
"max_process_vram": 0.0,
"max_reserved": 396.361728,
"max_allocated": 245.323264
},
"latency": {
"unit": "s",
"count": 144,
"total": 0.9958029136657713,
"mean": 0.006915298011567857,
"stdev": 0.00020476338256496273,
"p50": 0.006841343879699707,
"p90": 0.007261241722106934,
"p95": 0.007299840068817139,
"p99": 0.007395911593437195,
"values": [
0.00744652795791626,
0.007396351814270019,
0.007390207767486572,
0.007395328044891358,
0.007338016033172607,
0.007259136199951172,
0.007243775844573975,
0.0072765440940856935,
0.007238656044006348,
0.007237631797790528,
0.007245823860168457,
0.007175168037414551,
0.007128064155578613,
0.007123904228210449,
0.007194623947143554,
0.007262144088745117,
0.007286784172058106,
0.007268352031707764,
0.007255040168762207,
0.007164927959442138,
0.007203839778900147,
0.007310336112976074,
0.00724889612197876,
0.007302144050598145,
0.007264256000518799,
0.007282688140869141,
0.007251967906951904,
0.006851583957672119,
0.006897664070129395,
0.006909952163696289,
0.006866943836212158,
0.006767615795135498,
0.006810624122619629,
0.006845439910888672,
0.006801407814025879,
0.006829055786132812,
0.006850560188293457,
0.006894591808319092,
0.006867968082427979,
0.006930431842803955,
0.006978559970855713,
0.006952960014343262,
0.006894591808319092,
0.006899712085723877,
0.006867968082427979,
0.0068085122108459475,
0.006941696166992187,
0.00688640022277832,
0.00688640022277832,
0.006833151817321777,
0.006875135898590088,
0.006781951904296875,
0.006825984001159668,
0.00676966381072998,
0.006960127830505371,
0.00684441614151001,
0.006758399963378906,
0.006851583957672119,
0.006852608203887939,
0.006841343879699707,
0.006796288013458252,
0.006841343879699707,
0.006973440170288086,
0.006936575889587402,
0.006936575889587402,
0.006973440170288086,
0.006996992111206054,
0.006811647891998291,
0.006880256175994873,
0.0068915200233459475,
0.006796288013458252,
0.0068351998329162595,
0.006810592174530029,
0.006731840133666992,
0.006604800224304199,
0.006552576065063476,
0.006752255916595459,
0.006754303932189941,
0.006543360233306885,
0.006463488101959228,
0.006406144142150879,
0.0065177597999572755,
0.0070399360656738285,
0.007094272136688232,
0.007093247890472412,
0.0071823358535766605,
0.007264256000518799,
0.007320576190948487,
0.007024640083312988,
0.006871039867401123,
0.006879231929779053,
0.00694374418258667,
0.006889472007751465,
0.006881279945373535,
0.006864895820617676,
0.006834176063537598,
0.0067696962356567384,
0.006808576107025147,
0.006803520202636719,
0.006766592025756836,
0.006834176063537598,
0.006785024166107178,
0.006818816184997558,
0.006770688056945801,
0.006811647891998291,
0.006797311782836914,
0.006766592025756836,
0.006782976150512696,
0.006825984001159668,
0.00675328016281128,
0.006776832103729248,
0.006781951904296875,
0.006783999919891357,
0.0067573761940002445,
0.006795263767242431,
0.006833151817321777,
0.006780928134918213,
0.006791168212890625,
0.006816703796386719,
0.00677785587310791,
0.006765567779541016,
0.006800384044647217,
0.006820864200592041,
0.0068853759765625,
0.0069283838272094726,
0.006793216228485107,
0.0067645440101623535,
0.006747072219848633,
0.006814720153808594,
0.0067870721817016606,
0.00676966381072998,
0.006821887969970703,
0.00679423999786377,
0.0067758078575134275,
0.006793216228485107,
0.006779903888702392,
0.006818816184997558,
0.006750207901000976,
0.006811647891998291,
0.006813695907592773,
0.006754303932189941,
0.006811647891998291,
0.006811647891998291,
0.006782976150512696
]
},
"throughput": {
"unit": "samples/s",
"value": 144.6069277603377
},
"energy": {
"unit": "kWh",
"cpu": 8.010651032487909e-08,
"ram": 4.379883373900064e-08,
"gpu": 1.7039991109454866e-07,
"total": 2.9430525515842834e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3397832.63286171
}
}
}
}