IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
2d82439 verified
raw
history blame
11.9 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.225-213.878.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": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"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": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 868.82304,
"max_global_vram": 716.701696,
"max_process_vram": 0.0,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"values": [
0.35805081176757814
],
"count": 1,
"total": 0.35805081176757814,
"mean": 0.35805081176757814,
"p50": 0.35805081176757814,
"p90": 0.35805081176757814,
"p95": 0.35805081176757814,
"p99": 0.35805081176757814,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1109.42208,
"max_global_vram": 798.490624,
"max_process_vram": 0.0,
"max_reserved": 148.897792,
"max_allocated": 122.937344
},
"latency": {
"unit": "s",
"values": [
0.007426047801971435,
0.007051263809204102,
0.007066720008850098,
0.007076863765716553,
0.007085055828094483,
0.007116799831390381,
0.0071157760620117185,
0.007109632015228271,
0.007078911781311035,
0.007113728046417236,
0.007238656044006348,
0.00722431993484497,
0.007227424144744873,
0.007163904190063477,
0.007169023990631103,
0.0071188478469848635,
0.007050240039825439,
0.007079936027526855,
0.0071874880790710445,
0.007205887794494629,
0.007130112171173096,
0.007155712127685547,
0.007131135940551757,
0.007058464050292969,
0.0070236802101135256,
0.00709222412109375,
0.007108607769012451,
0.007071743965148926,
0.00719974422454834,
0.007078911781311035,
0.007072768211364746,
0.00709119987487793,
0.007078911781311035,
0.007087103843688965,
0.007085055828094483,
0.007131135940551757,
0.00707692813873291,
0.0071833600997924804,
0.007215104103088379,
0.007224256038665771,
0.00719155216217041,
0.007180223941802979,
0.00719155216217041,
0.007130112171173096,
0.007194623947143554,
0.007138304233551026,
0.0070225920677185055,
0.007117824077606201,
0.007113728046417236,
0.007013376235961914,
0.007024640083312988,
0.006873087882995605,
0.006931456089019775,
0.007104512214660645,
0.0068986878395080565,
0.0067348480224609375,
0.006759424209594727,
0.006773759841918945,
0.007134208202362061,
0.007300096035003662,
0.007187520027160645,
0.007247871875762939,
0.007379968166351319,
0.007510015964508057,
0.007237631797790528,
0.007180287837982178,
0.0071485438346862796,
0.007176224231719971,
0.007151616096496582,
0.007063551902770996,
0.0070891518592834475,
0.007095295906066895,
0.007146463871002197,
0.00714035177230835,
0.007023615837097168,
0.007057407855987549,
0.007066624164581299,
0.007073791980743408,
0.007011328220367432,
0.007048192024230957,
0.007071743965148926,
0.0070563840866088865,
0.006987775802612305,
0.006969344139099121,
0.007005184173583984,
0.007017471790313721,
0.006979584217071533,
0.007011328220367432,
0.00700819206237793,
0.007006207942962647,
0.006987775802612305,
0.00703385591506958,
0.006993919849395752,
0.007024640083312988,
0.007010303974151612,
0.006970367908477783,
0.006999040126800537,
0.006980607986450196,
0.006994944095611572,
0.006988831996917725,
0.006993919849395752,
0.0069847040176391605,
0.006985727787017822,
0.006980607986450196,
0.006982656002044678,
0.0070225920677185055,
0.007024640083312988,
0.00698367977142334,
0.006979584217071533,
0.006989823818206787,
0.0069959678649902345,
0.006974431991577148,
0.007018496036529541,
0.007014400005340577,
0.007013376235961914,
0.006994944095611572,
0.006987775802612305,
0.007155712127685547,
0.007074816226959229,
0.007006207942962647,
0.007011328220367432,
0.0069928960800170895,
0.007010303974151612,
0.006979584217071533,
0.006989823818206787,
0.006967296123504638,
0.007006207942962647,
0.006967296123504638,
0.007008255958557129,
0.0069816322326660156,
0.007014400005340577,
0.006985727787017822,
0.0069816322326660156,
0.006982656002044678,
0.006989823818206787,
0.0070256638526916505,
0.006969344139099121,
0.006987775802612305,
0.007008255958557129,
0.006996992111206054,
0.006977536201477051
],
"count": 141,
"total": 0.9961627526283265,
"mean": 0.007064984061193803,
"p50": 0.007050240039825439,
"p90": 0.00719155216217041,
"p95": 0.007227424144744873,
"p99": 0.007407615947723389,
"stdev": 0.00010780146561093238,
"stdev_": 1.525855751084549
},
"throughput": {
"unit": "samples/s",
"value": 141.5431360266969
},
"energy": {
"unit": "kWh",
"cpu": 8.291812462121342e-08,
"ram": 4.5308527303905334e-08,
"gpu": 1.6735833124475503e-07,
"total": 2.9558498316987376e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3383121.798935558
}
}
}
}