class_docstr: ResNet Bottleneck Residual Block used by ResNet50, ResNet101 and ResNet152 networks.
  References: "Deep Residual Learning for Image Recognition", He et al.
  https://arxiv.org/abs/1512.03385
code: def forward(self, x):
      # Forward Layers
      x = self.joined_post_act(self.layers(x) + self.residual(x))
  
      return x
  
imports: import torch
  from torch import nn
  from torch.nn.modules.utils import _pair
  from nemo.collections.multimodal.speech_cv.parts.submodules.conv2d import Conv2d
label_desc: Use image node_id 2 for calling the ResNetBottleneckBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x