python - 值错误 : Type must be a sub-type of ndarray type

Question

当我尝试训练我的模型时"ValueError: Type must be a sub-type of ndarray type"出现在 line x_norm=(np.power(x,2)).sum(1).view(-1,1) .
代码 :

def pairwise_distances(x, y=None):
  
  x_norm = (np.power(x,2)).sum(1).view(-1, 1)

   if y is not None:
   y_t = torch.transpose(y, 0, 1)
   y_norm = (y**2).sum(1).view(1, -1)
  else:
   y_t = torch.transpose(x, 0, 1)
   y_norm = x_norm.view(1, -1)

  dist = x_norm + y_norm - 2.0 * torch.mm(x, y_t)
  # Ensure diagonal is zero if x=y
  # if y is None:
  #     dist = dist - torch.diag(dist.diag)
  return torch.clamp(dist, 0.0, np.inf)

Answer 1

Numpy 数组 view与火炬张量不同 view .
在 numpy :

ndarray.view([dtype][, type])
    New view of array with the same data.

在 pytorch :

view(*shape) → Tensor
    Returns a new tensor with the same data as the self tensor but of a different shape.

Numpy 的 view更改数组的数据类型，而不是形状。
如果要更改 numpy 中数组的形状，请使用 ndarray.reshape 反而。