IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
15cc02f verified
raw
history blame
12.3 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 831.811584,
"max_global_vram": 688.390144,
"max_process_vram": 0.0,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.72493603515625,
"mean": 7.72493603515625,
"stdev": 0.0,
"p50": 7.72493603515625,
"p90": 7.72493603515625,
"p95": 7.72493603515625,
"p99": 7.72493603515625,
"values": [
7.72493603515625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.512702204166925e-06,
"ram": 2.4575648724703638e-06,
"gpu": 4.890837245999976e-06,
"total": 1.1861104322637264e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1022.889984,
"max_global_vram": 791.150592,
"max_process_vram": 0.0,
"max_reserved": 148.897792,
"max_allocated": 114.685952
},
"latency": {
"unit": "s",
"count": 150,
"total": 0.9993637447357174,
"mean": 0.006662424964904785,
"stdev": 0.0002669659071309949,
"p50": 0.006650879859924317,
"p90": 0.006787379121780395,
"p95": 0.007296000003814696,
"p99": 0.007839545207023619,
"values": [
0.007377920150756836,
0.007314432144165039,
0.007347263813018799,
0.007336959838867187,
0.007572480201721191,
0.0077199358940124516,
0.006783999919891357,
0.006433792114257812,
0.006416384220123291,
0.006398975849151611,
0.006426623821258545,
0.006441984176635742,
0.006400000095367431,
0.006416384220123291,
0.006405119895935059,
0.00638976001739502,
0.006427648067474365,
0.006436863899230957,
0.006433792114257812,
0.006411263942718506,
0.006376448154449463,
0.0064133119583129885,
0.006395840167999268,
0.006407167911529541,
0.0064245758056640625,
0.0063569917678833006,
0.006455359935760498,
0.00637443208694458,
0.006395904064178467,
0.006455296039581298,
0.006472703933715821,
0.006467584133148193,
0.0065064959526062015,
0.006452191829681397,
0.006457344055175781,
0.006474751949310303,
0.006469632148742676,
0.006460415840148926,
0.006441984176635742,
0.006470655918121338,
0.006388735771179199,
0.006372352123260498,
0.00642252779006958,
0.006401023864746094,
0.006411263942718506,
0.006409215927124024,
0.006394879817962646,
0.006455296039581298,
0.006404096126556396,
0.006554624080657959,
0.006654975891113281,
0.006628352165222168,
0.006662144184112549,
0.006817791938781738,
0.008073216438293456,
0.007954463958740235,
0.006879231929779053,
0.006781951904296875,
0.006744063854217529,
0.006702079772949219,
0.006649856090545654,
0.006642687797546387,
0.006667263984680176,
0.006597631931304931,
0.006700032234191895,
0.006699007987976074,
0.006623231887817383,
0.006659071922302246,
0.006643712043762207,
0.006608895778656006,
0.006734911918640137,
0.006645760059356689,
0.006615007877349853,
0.006639616012573242,
0.006646783828735352,
0.006618112087249756,
0.006831103801727295,
0.0067041277885437015,
0.00668665599822998,
0.006654975891113281,
0.0066928319931030275,
0.006651904106140137,
0.006652927875518798,
0.00667955207824707,
0.0066641921997070315,
0.0066375679969787596,
0.006677504062652588,
0.006650879859924317,
0.006636544227600098,
0.006661119937896728,
0.006649856090545654,
0.006646783828735352,
0.006675456047058105,
0.0066304001808166506,
0.006665215969085693,
0.006653952121734619,
0.0066447358131408694,
0.006649856090545654,
0.006660096168518067,
0.0066344962120056155,
0.006651904106140137,
0.006657023906707763,
0.006621183872222901,
0.006938687801361084,
0.006711296081542969,
0.0068577280044555666,
0.006909952163696289,
0.006718463897705078,
0.006740992069244385,
0.0066406397819519045,
0.006687744140625,
0.006689792156219483,
0.006680575847625733,
0.006700032234191895,
0.006721536159515381,
0.0066744318008422855,
0.0067123198509216305,
0.006739967823028564,
0.006648831844329834,
0.006666240215301514,
0.00675328016281128,
0.006646783828735352,
0.0066641921997070315,
0.006683648109436035,
0.006631423950195312,
0.006649856090545654,
0.006673408031463623,
0.006656000137329102,
0.006666240215301514,
0.00668668794631958,
0.0066344962120056155,
0.0066375679969787596,
0.006681600093841553,
0.006669312000274658,
0.006631423950195312,
0.006677504062652588,
0.006731776237487793,
0.00727347183227539,
0.006723584175109864,
0.006748159885406494,
0.006694911956787109,
0.006660160064697266,
0.006669343948364258,
0.006731776237487793,
0.006636544227600098,
0.006689792156219483,
0.006650879859924317,
0.006648831844329834,
0.006713344097137451,
0.006661119937896728
]
},
"throughput": {
"unit": "samples/s",
"value": 150.09549905141654
},
"energy": {
"unit": "kWh",
"cpu": 7.798525539108208e-08,
"ram": 4.263786703790228e-08,
"gpu": 1.67971625605264e-07,
"total": 2.8859474803424833e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3465066.522559611
}
}
}
}