class_docstr: This class defines the `MobileViTv2 <https://arxiv.org/abs/2206.02680>`_ block
  
  Args:
      opts: command line arguments
      in_channels (int): :math:`C_{in}` from an expected input of size :math:`(N, C_{in}, H, W)`
      attn_unit_dim (int): Input dimension to the attention unit
      ffn_multiplier (int): Expand the input dimensions by this factor in FFN. Default is 2.
      n_attn_blocks (Optional[int]): Number of attention units. Default: 2
      attn_dropout (Optional[float]): Dropout in multi-head attention. Default: 0.0
      dropout (Optional[float]): Dropout rate. Default: 0.0
      ffn_dropout (Optional[float]): Dropout between FFN layers in transformer. Default: 0.0
      patch_h (Optional[int]): Patch height for unfolding operation. Default: 8
      patch_w (Optional[int]): Patch width for unfolding operation. Default: 8
      conv_ksize (Optional[int]): Kernel size to learn local representations in MobileViT block. Default: 3
      dilation (Optional[int]): Dilation rate in convolutions. Default: 1
      attn_norm_layer (Optional[str]): Normalization layer in the attention block. Default: layer_norm_2d
code: def resize_input_if_needed(self, x):
      batch_size, in_channels, orig_h, orig_w = x.shape
      if orig_h % self.patch_h != 0 or orig_w % self.patch_w != 0:
          new_h = int(math.ceil(orig_h / self.patch_h) * self.patch_h)
          new_w = int(math.ceil(orig_w / self.patch_w) * self.patch_w)
          x = F.interpolate(
              x,
              size=(new_h, new_w),
              mode="bilinear",
              align_corners=True,
          )
      return x
  
imports: import math
  from typing import Dict, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  from torch import Tensor, nn
  from torch.nn import functional
  from cvnets.layers import ConvLayer2d, get_normalization_layer
  from cvnets.modules.base_module import BaseModule
  from cvnets.modules.transformer import LinearAttnFFN, TransformerEncoder
label_desc: Use image node_id 9 for calling the MobileViTBlockv2 obj's underlying member method code with example usage: obj.resize_input_if_needed(x) and returns: x