├── .gitignore ├── LICENSE ├── README.md ├── configs ├── MobileNetV2_DY_035.yaml ├── MobileNetV2_DY_035_60_20.yaml ├── MobileNetV2_DY_035_60_60.yaml ├── MobileNetV2_DY_05.yaml ├── MobileNetV2_Vanilla_035.yaml ├── MobileNetV2_Vanilla_05.yaml ├── MobileNetV3_DY_025_Imagenette.yaml ├── MobileNetV3_DY_05_Imagenette.yaml ├── MobileNetV3_DY_05_Tiny.yaml ├── MobileNetV3_DY_1_Imagenette.yaml ├── MobileNetV3_DY_1_Tiny.yaml ├── MobileNetV3_Vanilla_025_Imagenette.yaml ├── MobileNetV3_Vanilla_05_Imagenette.yaml ├── MobileNetV3_Vanilla_05_Tiny.yaml ├── MobileNetV3_Vanilla_1_Imagenette.yaml ├── MobileNetV3_Vanilla_1_Tiny.yaml ├── Resnet_DY_025.yaml ├── Resnet_DY_05.yaml ├── Resnet_DY_05_smooth.yaml ├── Resnet_DY_1.yaml ├── Resnet_DY_Improve_05.yaml ├── Resnet_DY_Leaky_05_smooth.yaml ├── Resnet_Vanilla_025.yaml ├── Resnet_Vanilla_05.yaml ├── Resnet_Vanilla_05_smooth.yaml ├── Resnet_Vanilla_1.yaml ├── config.yaml ├── deeplabv3plus.yaml ├── deeplabv3plus_0.5.yaml ├── dy_deeplabv3plus.yaml └── dy_deeplabv3plus_0.5.yaml ├── data ├── __init__.py ├── imagenette_dataset.py ├── mnist_dataset.py ├── pascalvoc2012_dataset.py ├── sb_dataset.py └── tinyimagenet_dataset.py ├── dynamic_convolutions.py ├── environment.yml ├── inspect_attention.py ├── models ├── __init__.py ├── common.py ├── deeplab.py ├── deeplab_details │ ├── __init__.py │ ├── aspp.py │ ├── backbone │ │ ├── __init__.py │ │ ├── drn.py │ │ ├── mobilenet.py │ │ ├── resnet.py │ │ └── xception.py │ ├── decoder.py │ ├── deeplab.py │ └── sync_batchnorm │ │ ├── __init__.py │ │ ├── batchnorm.py │ │ └── comm.py ├── mobilenetv2.py ├── mobilenetv3.py ├── resnet.py └── simple_conv.py ├── notebooks ├── DyConv_inspect.ipynb ├── DyConv_inspect_segmentation.ipynb ├── DyConv_profiling.ipynb └── DyConv_training.ipynb ├── tensorboard_events ├── DeepLabV3+_x0.5_baseline_pascal │ ├── events.out.tfevents.1616441878.aaf44e041659.58.2 │ └── events.out.tfevents.1616485358.adffa85e925e.58.0 ├── DeepLabV3+_x0.5_dy_pascal │ ├── events.out.tfevents.1616372319.c5e4336cf6d4.1444.0 │ ├── events.out.tfevents.1616394553.17bec54ce095.59.0 │ ├── events.out.tfevents.1616396175.17bec54ce095.59.1 │ ├── events.out.tfevents.1616397390.d6698bb24c52.59.0 │ └── events.out.tfevents.1616434156.aaf44e041659.58.0 ├── DeepLabV3+_x1.0_baseline_pascal_sbd │ ├── events.out.tfevents.1616475592.9bc1026ea589.59.2 │ ├── events.out.tfevents.1616484234.9bc1026ea589.10523.0 │ ├── events.out.tfevents.1616492304.8929e58b1f44.59.0 │ └── events.out.tfevents.1616492681.8929e58b1f44.59.1 ├── DeepLabV3+_x1.0_dy_pascal_sbd │ └── events.out.tfevents.1616452269.9bc1026ea589.59.1 ├── MobileNetV2_035_dy_tiny_300ep │ └── events.out.tfevents.1616111307.theta.10525.0 ├── MobileNetV2_035_dy_tiny_t10040_300ep │ ├── config.yaml │ └── events.out.tfevents.1616295195.theta.27968.0 ├── MobileNetV2_035_dy_tiny_t6020_300ep │ └── events.out.tfevents.1616241245.theta.16175.0 ├── MobileNetV2_035_dy_tiny_t6060_300ep │ └── 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