code: def project(self, x, return_HWBC=False):
      if isinstance(self.projection, type(None)):
          return x.transpose((2, 3, 0, 1)) if return_HWBC else x
      B, C, H, W = x.shape
      if len(self.projection.shape) == 1:
          x = paddle.index_select(x, self.projection, 1)
          if return_HWBC:
              x = x.transpose((2, 3, 0, 1))
          return x
      else:
          if return_HWBC:
              x = x.transpose((2, 3, 0, 1))
              return x @ self.projection
              result = []  # paddle.zeros((B, self.k, H, W))
              for i in range(H):
                  # result[i] = paddle.einsum('chw, cd -> dhw', x[i], self.projection)
                  # result[i,:,:,:] = x[i] @self.projection.T
                  result.append(x[i] @ self.projection.T)
              result = paddle.stack(result)
              return result
          result = []  # paddle.zeros((B, self.k, H, W))
          x = x.reshape((B, C, H * W))
          for i in range(B):
              # result[i] = paddle.einsum('chw, cd -> dhw', x[i], self.projection)
              # result[i] = (self.projection.T @ x[i]).reshape((self.k, H, W))
              result.append(
                  (self.projection.T @ x[i]).reshape((self.k, H, W))
              )
          result = paddle.stack(result)
          return result
  
imports: import numpy
  from tqdm import tqdm
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.vision.models.resnet import resnet18, resnet50, wide_resnet50_2
  from scipy.ndimage import gaussian_filter
  from qinspector.cvlib.workspace import register
  from qinspector.uad.utils.utils import cdist, cholesky_inverse, mahalanobis, mahalanobis_einsum, orthogonal, svd_orthogonal
  from qinspector.uad.utils.k_center_greedy import KCenterGreedy
label_desc: Use image node_id 7 for calling the PaDiMPlus obj's underlying member method code with example usage: obj.project(x, return_HWBC) and returns: unknown, x, result, unknown, result