1. tensor.mean(),取算术平均值。指定参数可以计算每一行或者 每一列的算术平均数
2. tensor.unsqueeze(i): 在某个维度(从0开始)增加一个维度。squeeze(i)去掉某一维度
3.numpy转tensor时的Double Tensor 和Float Tensor 不一致:对numpy用astype(np.float32)可以解决
RuntimeError: Expected object of type torch.DoubleTensor but found type torch.FloatTensor for argument #2 'weight'
4.numpy和tensor转换:
List转numpy.array:
temp = np.array(list)
numpy.array转List:
arr = temp.tolist()
5.numpy升降维:https://www.jianshu.com/p/fd526675c7b7
- numpy的升维
将(2,)变成(2,1)
a = np.array([1,2])
b = np.expand_dims(a, axis=1)
a = np.array([[1],[2]])
b = np.squeeze(a)
6.numpy数组拼接:https://blog.csdn.net/c_living/article/details/85264047
a -> 转成list(a) -> lista.extend(listb) -> a = np.array(lista)
7.numpy数组降维:np.array(a),a.reshape(2000)..
8.RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1)
https://blog.csdn.net/qq_40178291/article/details/100183457
---------------------待更新
2.pycharm查看函数:ctrl+鼠标点击
3.pycharm全项目搜素:ctrl+shift+f
4.