class_docstr: Transformer basic patch embedding module. Performs patchifying input, flatten and
  and transpose.
  
  ::
  
                                     PatchModel
                                         ↓
                                      flatten
                                         ↓
                                     transpose
  
  The builder can be found in `create_patch_embed`.
code: def forward(self, x) -> torch.Tensor:
      x = self.patch_model(x)
      # B C (T) H W -> B (T)HW C
      return x.flatten(2).transpose(1, 2)
  
file_path: pytorchvideo/pytorchvideo/models/stem.py
imports: from typing import Callable, Tuple
  import torch
  import torch.nn
  from pytorchvideo.layers.convolutions import ConvReduce3D
  from pytorchvideo.layers.utils import set_attributes
label_desc: Use image node_id 2 for calling the PatchEmbed obj's underlying member method code with example usage: obj.forward(x) and returns: x