divide

paddle. divide ( x, y, name=None ) [source]

Divide two tensors element-wise. The equation is:

\[out = x / y\]

Note: paddle.divide supports broadcasting. If you want know more about broadcasting, please refer to user_guide_broadcasting .

Parameters
  • x (Tensor) – the input tensor, it’s data type should be float32, float64, int32, int64.

  • y (Tensor) – the input tensor, it’s data type should be float32, float64, int32, int64.

  • name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

N-D Tensor. A location into which the result is stored. If x, y have different shapes and are “broadcastable”, the resulting tensor shape is the shape of x and y after broadcasting. If x, y have the same shape, its shape is the same as x and y.

Examples

import paddle

x = paddle.to_tensor([2, 3, 4], dtype='float64')
y = paddle.to_tensor([1, 5, 2], dtype='float64')
z = paddle.divide(x, y)
print(z)  # [2., 0.6, 2.]