IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
e90c64c verified
raw
history blame
11.8 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "warn",
"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": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1118.57664,
"max_global_vram": 68702.69952,
"max_process_vram": 46010.421248,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.7306103515625,
"mean": 8.7306103515625,
"stdev": 0.0,
"p50": 8.7306103515625,
"p90": 8.7306103515625,
"p95": 8.7306103515625,
"p99": 8.7306103515625,
"values": [
8.7306103515625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1202.982912,
"max_global_vram": 68702.69952,
"max_process_vram": 106397.462528,
"max_reserved": 148.897792,
"max_allocated": 113.516032
},
"latency": {
"unit": "s",
"count": 139,
"total": 1.0017796556949619,
"mean": 0.0072070478826975655,
"stdev": 0.0013967600088438082,
"p50": 0.007143857002258301,
"p90": 0.0077018740653991705,
"p95": 0.007843025970458982,
"p99": 0.012784887428283707,
"values": [
0.008277619361877441,
0.007780337810516357,
0.007519058227539063,
0.007375698089599609,
0.0073764967918396,
0.007354258060455322,
0.010679064750671386,
0.007199857234954834,
0.0075483379364013675,
0.007422098159790039,
0.007359056949615478,
0.007331217765808105,
0.007322096824645996,
0.007333457946777344,
0.007347376823425293,
0.007601937770843506,
0.007299376964569092,
0.007264176845550537,
0.007286898136138916,
0.007192176818847656,
0.007174417018890381,
0.007162257194519043,
0.007253777027130127,
0.007244818210601807,
0.007182736873626709,
0.007129937171936035,
0.007150736808776856,
0.0071443371772766115,
0.007393777847290039,
0.0073278570175170895,
0.007150736808776856,
0.007352978229522705,
0.007395856857299805,
0.008808341026306152,
0.0091366605758667,
0.007408177852630616,
0.007202096939086914,
0.007054097175598144,
0.007122257232666016,
0.007151377201080322,
0.007363378047943115,
0.007229297161102295,
0.007143857002258301,
0.007095217227935791,
0.007388018131256104,
0.010440025329589844,
0.004581289768218994,
0.007180498123168945,
0.007794737815856934,
0.007720338821411133,
0.007688017845153808,
0.007723058223724365,
0.007667219161987305,
0.007665137767791748,
0.007765458106994629,
0.007576178073883057,
0.007715697765350342,
0.0076590580940246586,
0.007562257766723633,
0.0067225761413574215,
0.006722896099090576,
0.0067206559181213375,
0.006717135906219482,
0.0067702560424804685,
0.006726096153259278,
0.00671889591217041,
0.006738895893096924,
0.00673905611038208,
0.006724016189575195,
0.006728496074676514,
0.006724016189575195,
0.0067078561782836915,
0.006736176013946533,
0.006740655899047852,
0.006808335781097412,
0.006940816879272461,
0.006754576206207275,
0.0067505760192871096,
0.006756815910339355,
0.006747056007385254,
0.006766895771026612,
0.006726895809173584,
0.017750921249389647,
0.0022848060131073,
0.002294724941253662,
0.005748494148254395,
0.006739696025848388,
0.006744495868682861,
0.006712495803833008,
0.006738736152648926,
0.006736176013946533,
0.006735375881195068,
0.0067512159347534175,
0.006745296001434326,
0.006721295833587646,
0.006734896183013916,
0.00671905517578125,
0.0067347359657287595,
0.006708014965057373,
0.006714254856109619,
0.0067768158912658695,
0.006745296001434326,
0.006786896228790283,
0.006781295776367187,
0.006731855869293213,
0.0067702560424804685,
0.006752016067504883,
0.006755695819854736,
0.006763696193695068,
0.006740015983581543,
0.006754096031188965,
0.006743375778198242,
0.0067536158561706545,
0.006724814891815186,
0.006743375778198242,
0.006731056213378907,
0.006732656002044678,
0.006763216018676758,
0.006711535930633545,
0.007256017208099365,
0.007687697887420655,
0.007617938995361328,
0.0076358580589294435,
0.007682737827301026,
0.007069937229156494,
0.00715697717666626,
0.007138257026672363,
0.007052496910095215,
0.007120176792144776,
0.007652818202972412,
0.007652978897094726,
0.014075552940368653,
0.004525131225585938,
0.007718257904052735,
0.007665618896484375,
0.007664177894592285,
0.007480018138885498,
0.007698418140411377,
0.0076860980987548825
]
},
"throughput": {
"unit": "samples/s",
"value": 138.75306731356204
},
"energy": null,
"efficiency": null
}
}
}