IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
691cc3d verified
raw
history blame
11.6 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": "6",
"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": 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": "error",
"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": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"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": 987.295744,
"max_global_vram": 409.239552,
"max_process_vram": 46489.563136,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.0266484375,
"mean": 8.0266484375,
"stdev": 0.0,
"p50": 8.0266484375,
"p90": 8.0266484375,
"p95": 8.0266484375,
"p99": 8.0266484375,
"values": [
8.0266484375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1069.821952,
"max_global_vram": 520.450048,
"max_process_vram": 119844.265984,
"max_reserved": 148.897792,
"max_allocated": 113.516032
},
"latency": {
"unit": "s",
"count": 135,
"total": 1.0008049092292788,
"mean": 0.007413369697994656,
"stdev": 0.00023031543586652696,
"p50": 0.007340494155883789,
"p90": 0.007710733890533447,
"p95": 0.007763501977920532,
"p99": 0.008240559329986573,
"values": [
0.007407693862915039,
0.007348652839660645,
0.007372814178466797,
0.007365293979644775,
0.007549933910369873,
0.007359374046325684,
0.007462574005126953,
0.007360013961791992,
0.007307374000549317,
0.007320013046264649,
0.007315213203430176,
0.007264813899993896,
0.007340494155883789,
0.0073659329414367675,
0.007338892936706543,
0.007335854053497314,
0.007358893871307373,
0.00757905387878418,
0.007366734027862549,
0.007372814178466797,
0.007407214164733887,
0.007364813804626465,
0.007380332946777344,
0.007387214183807373,
0.00736833381652832,
0.008646256446838379,
0.007459854125976563,
0.007364173889160156,
0.007363533973693848,
0.007336174011230469,
0.0077148938179016115,
0.007328494071960449,
0.007343533992767334,
0.0073345742225646975,
0.007286093235015869,
0.007302254199981689,
0.0073216137886047365,
0.007319694042205811,
0.007303853034973145,
0.007355693817138672,
0.007221613883972168,
0.007298254013061524,
0.0073022527694702145,
0.007299853801727295,
0.007329934120178223,
0.007550094127655029,
0.007321774005889892,
0.007293932914733887,
0.007329452991485596,
0.007351533889770508,
0.007341293811798095,
0.0073216137886047365,
0.007322412967681885,
0.007350254058837891,
0.007326253890991211,
0.007350254058837891,
0.007317293167114258,
0.007335692882537842,
0.007260973930358887,
0.00736993408203125,
0.007337934017181397,
0.007777614116668701,
0.007685134887695313,
0.007386413097381592,
0.007222572803497315,
0.007353134155273437,
0.007335373878479004,
0.007334093093872071,
0.007332173824310303,
0.0072809739112854,
0.007239052772521973,
0.007252973079681396,
0.007223214149475098,
0.007279212951660156,
0.00726193380355835,
0.007250574111938477,
0.00717361307144165,
0.0071382541656494145,
0.007314733028411865,
0.007162253856658935,
0.007280813217163086,
0.007241613864898681,
0.007248494148254394,
0.0072448129653930665,
0.007268013954162597,
0.007276494026184082,
0.007255053043365479,
0.007277453899383545,
0.007240493774414062,
0.007283853054046631,
0.007317133903503418,
0.007309934139251709,
0.007249932765960693,
0.0072360138893127444,
0.007364173889160156,
0.0072448129653930665,
0.007363533973693848,
0.007326414108276367,
0.007216012954711914,
0.00735601282119751,
0.007343533992767334,
0.007365293979644775,
0.007359694004058838,
0.007345454216003418,
0.007348653793334961,
0.008200334548950196,
0.007970254898071289,
0.007656333923339843,
0.007573295116424561,
0.007532333850860596,
0.007581453800201416,
0.007740174770355225,
0.0076979341506958005,
0.00729297399520874,
0.0072662529945373535,
0.007287054061889648,
0.0073448138236999515,
0.007356813907623291,
0.007308012962341308,
0.007470734119415283,
0.008176815032958985,
0.008225774765014649,
0.008248175621032715,
0.007736013889312744,
0.0077385749816894535,
0.007757453918457031,
0.0077044939994812016,
0.0076739339828491215,
0.00757825517654419,
0.007593934059143066,
0.007716013908386231,
0.0077550549507141115,
0.007497774124145508,
0.007322894096374512,
0.007320333957672119
]
},
"throughput": {
"unit": "samples/s",
"value": 134.89142464735082
},
"energy": null,
"efficiency": null
}
}
}