class_docstr: Convolution block with Batch Normalization and ReLU activation.
class_docstr_tok: ["Convolution","block","with","Batch","Normalization","and","ReLU","activation","."]
code: def forward(self, x: Tensor) -> Tensor:
      x = self.conv(x)
      x = self.bn(x)
      return self.act(x)
  
imports: from typing import List, Tuple, Union, Type, Callable
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from pytorch_toolbelt.modules.activations import ACT_RELU, instantiate_activation_block
  from pytorch_toolbelt.modules.simple import conv1x1
  from pytorch_toolbelt.modules.dsconv import DepthwiseSeparableConv2dBlock
  from pytorch_toolbelt.modules.interfaces import AbstractDecoder, FeatureMapsSpecification
  from pytorch_toolbelt.modules.normalization import NORM_BATCH, instantiate_normalization_block
label_desc: Use image node_id 2 for calling the BiFPNConvBlock obj's underlying member method code with example usage: obj.forward(x) and returns: self