code: def flatten_vector(self, x):
      # Gets rid of the image dimensions and flattens to a point list
      # B x C x H x W -> B x C x N -> B x N x C
      return x.reshape(x.shape[0], x.shape[1], -1).permute(0, 2, 1)
  
imports: import torch
  import torch.nn
  import torchvision
  import numpy
  import torch
  from torch.nn.functional import silu
  from einops import rearrange, repeat
  from utils.general_utils import matrix_to_quaternion, quaternion_raw_multiply
  from utils.graphics_utils import fov2focal
label_desc: Use image node_id 5 for calling the GaussianSplatPredictor obj's underlying member method code with example usage: obj.flatten_vector(x) and returns: x