class_docstr: Vanilla U-Net block containing of two convolutions interleaved with batch-norm and RELU
code: def forward(self, x):
      x = self.conv1(x)
      x = self.norm1(x)
      x = self.act1(x)
  
      x = self.conv2(x)
      x = self.norm2(x)
      x = self.act2(x)
      return x
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/unet.py
imports: from torch import nn
  from pytorch_toolbelt.modules.drop_path import DropPath
  from pytorch_toolbelt.modules.activations import ACT_RELU, instantiate_activation_block
  from pytorch_toolbelt.modules.normalization import NORM_BATCH, instantiate_normalization_block
label_desc: Use image node_id 2 for calling the UnetBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x