IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
11120d2 verified
raw
history blame
12 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.2.0.dev20231010+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": 1031.278592,
"max_global_vram": 68702.69952,
"max_process_vram": 45655.318528,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.6083916015625,
"mean": 8.6083916015625,
"stdev": 0.0,
"p50": 8.6083916015625,
"p90": 8.6083916015625,
"p95": 8.6083916015625,
"p99": 8.6083916015625,
"values": [
8.6083916015625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1128.472576,
"max_global_vram": 68702.69952,
"max_process_vram": 115987.849216,
"max_reserved": 148.897792,
"max_allocated": 113.516032
},
"latency": {
"unit": "s",
"count": 144,
"total": 0.9984352102279659,
"mean": 0.006933577848805321,
"stdev": 0.005428491810341498,
"p50": 0.006760574579238891,
"p90": 0.0073779200553894045,
"p95": 0.007441830968856811,
"p99": 0.01775035532951344,
"values": [
0.0077225761413574215,
0.007447854995727539,
0.007467055797576904,
0.0073787360191345215,
0.007381615161895752,
0.007376016139984131,
0.0073244948387145995,
0.00732593584060669,
0.0072816147804260255,
0.007231215000152588,
0.007165615081787109,
0.02455173110961914,
0.002248805046081543,
0.002249764919281006,
0.00367376708984375,
0.007244015216827392,
0.0069540939331054685,
0.007054893970489502,
0.006969295024871826,
0.006950894832611084,
0.007041454792022705,
0.007064175128936767,
0.007086094856262207,
0.007045134067535401,
0.007024814128875732,
0.006948174953460694,
0.00698497486114502,
0.006933454036712646,
0.006932013988494873,
0.0069611349105834965,
0.0072174549102783205,
0.00700785493850708,
0.007008174896240235,
0.0069515337944030765,
0.007143694877624512,
0.006909133911132813,
0.008181137084960937,
0.006960494995117188,
0.0068184142112731935,
0.0069467339515686035,
0.0068168148994445805,
0.0067761740684509275,
0.006769134044647217,
0.006789935111999512,
0.0069254541397094724,
0.00675585412979126,
0.006758415222167969,
0.00677825403213501,
0.006764013767242432,
0.006768974781036377,
0.006789934158325195,
0.006798254013061523,
0.006756494998931885,
0.006762733936309814,
0.00674817419052124,
0.006803693771362304,
0.007209615230560303,
0.006984173774719238,
0.007342095851898193,
0.006901934146881104,
0.006800014019012451,
0.0069534540176391605,
0.006785774230957031,
0.008443697929382325,
0.008734578132629395,
0.006935854911804199,
0.006808653831481933,
0.0065486540794372555,
0.006750254154205322,
0.006848495006561279,
0.006676973819732666,
0.006557454109191894,
0.006515693187713623,
0.006506093978881836,
0.0065582537651062015,
0.0068048138618469235,
0.0065388941764831544,
0.00654081392288208,
0.006536334037780762,
0.006527692794799805,
0.006524013996124268,
0.006512013912200928,
0.006522414207458496,
0.006537612915039063,
0.006514893054962158,
0.006520974159240723,
0.006540334224700928,
0.006513453960418701,
0.006512332916259766,
0.006536173820495606,
0.006671053886413574,
0.006683534145355225,
0.0065833740234375,
0.006772493839263916,
0.006696014881134033,
0.0065548930168151855,
0.006547214031219483,
0.006525774002075196,
0.006531054019927978,
0.006531054019927978,
0.00654705286026001,
0.006534093856811523,
0.006536814212799072,
0.006674734115600586,
0.006562893867492676,
0.006534093856811523,
0.006551853179931641,
0.006510733127593994,
0.0065601739883422855,
0.00652497386932373,
0.006531054019927978,
0.06688877868652343,
0.0022473649978637694,
0.002255204916000366,
0.002252324104309082,
0.00226096510887146,
0.00224512505531311,
0.0022544050216674804,
0.002255523920059204,
0.00226480507850647,
0.0022460849285125734,
0.0022475249767303467,
0.002251204013824463,
0.0022704050540924073,
0.005759372234344483,
0.007313936233520508,
0.007387694835662842,
0.0073910560607910155,
0.0073972949981689455,
0.007407694816589355,
0.007371056079864502,
0.007407535076141358,
0.007323376178741455,
0.006524174213409424,
0.006525292873382569,
0.006527853965759277,
0.006513934135437011,
0.006527534008026123,
0.0065310530662536625,
0.006572493076324463,
0.0065310530662536625,
0.006523054122924804,
0.006527534008026123,
0.006494732856750488
]
},
"throughput": {
"unit": "samples/s",
"value": 144.22568287342492
},
"energy": null,
"efficiency": null
}
}
}