code: def forward(self, x: Tensor) -> Tensor:
      H, W = self.input_resolution
      B, L, C = x.shape
      res_x = x
  
      x = x.view(B, H, W, C)
      x, pad_hw = window_partition(
          x, self.window_size
      )  # (B * num_windows, window_size, window_size, C)
      x = self.attn(x.flatten(1, 2))
      x = window_unpartition(x, self.window_size, pad_hw, (H, W))
      x = x.view(B, L, C)
  
      x = res_x + self.drop_path1(x)
  
      x = x.transpose(1, 2).reshape(B, C, H, W)
      x = self.local_conv(x)
      x = x.view(B, C, L).transpose(1, 2)
  
      x = x + self.drop_path2(self.mlp(x))
      return x
  
imports: from __future__ import annotations
  import itertools
  import warnings
  from typing import Any, Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.utils import checkpoint
  from kornia.contrib.models.common import DropPath, LayerNorm2d, window_partition, window_unpartition
  from kornia.core import Module, Tensor
  from kornia.core.check import KORNIA_CHECK
label_desc: Use image node_id 2 for calling the TinyViTBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x