run_all_eg.sh

#!/bin/bash




# model=detectron2_maskrcnn_r_50_c4
output=/home/yhao/d/tmp/run_all_egs.log
echo "" > $output
cd /home/yhao/d/benchmark_11.6

max_iter=1
func(){
    for (( i = 1 ; i <= $max_iter; i++ ))
    do
        # python run.py -d cuda -m jit -t train $model --precision fp32 --torchdynamo nvfuser  >> $output 2>&1
        python run.py -d cuda -t train --profile-eg --profile --profile-detailed --profile-devices cpu,cuda --profile-folder  ./logs/$model $model  --precision fp32  >> $output 2>&1
    done
}

for model in detectron2_maskrcnn_r_101_fpn mnasnet1_0 shufflenet_v2_x1_0 BERT_pytorch detectron2_maskrcnn_r_50_c4 mobilenet_v2 soft_actor_critic Background_Matting detectron2_maskrcnn_r_50_fpn mobilenet_v2_quantized_qat speech_transformer LearningToPaint dlrm mobilenet_v3_large squeezenet1_1 Super_SloMo drq moco tacotron2 alexnet fambench_dlrm nvidia_deeprecommender timm_efficientdet attention_is_all_you_need_pytorch fambench_xlmr opacus_cifar10 timm_efficientnet dcgan fastNLP_Bert pplbench_beanmachine timm_nfnet demucs hf_Albert pyhpc_equation_of_state timm_regnet densenet121 hf_Bart pyhpc_isoneutral_mixing timm_resnest detectron2_fasterrcnn_r_101_c4 hf_Bert pyhpc_turbulent_kinetic_energy timm_vision_transformer detectron2_fasterrcnn_r_101_dc5 hf_BigBird  timm_vovnet detectron2_fasterrcnn_r_101_fpn hf_DistilBert pytorch_stargan tts_angular detectron2_fasterrcnn_r_50_c4 hf_GPT2 pytorch_struct vgg16 detectron2_fasterrcnn_r_50_dc5 hf_Longformer pytorch_unet vision_maskrcnn detectron2_fasterrcnn_r_50_fpn hf_Reformer resnet18 yolov3 detectron2_fcos_r_50_fpn hf_T5 resnet50 detectron2_maskrcnn maml resnet50_quantized_qat detectron2_maskrcnn_r_101_c4 maml_omniglot resnext50_32x4d
do 

    source /home/yhao/d/conda/bin/activate
    conda activate pt_aug1
    echo "@Yueming Hao origin $model" >>$output
    func

done