assign¶

paddle. assign ( x, output=None ) [source]

Copy value of the x to the output.

Parameters

• x (Tensor|np.ndarray|list|tuple|scalar) – A Tensor, numpy ndarray, tuple/list of scalar, or scalar. Its data type can be float16, float32, float64, int32, int64 or bool. Note: the float64 data will be converted to float32 because of current platform protobuf data limitation.

• output (Tensor, optional) – A Tensor. If output is None, a new Tensor will be created as output. Default: None.

Returns

A Tensor with the same shape, data type and value as x.

Return type

Tensor

Examples

import paddle
import numpy as np
data = paddle.full(shape=[3, 2], fill_value=2.5, dtype='float64') # [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
array = np.array([[1, 1],
                    [3, 4],
                    [1, 3]]).astype(np.int64)
result1 = paddle.zeros(shape=[3, 3], dtype='float32')
paddle.assign(array, result1) # result1 = [[1, 1], [3 4], [1, 3]]
result2 = paddle.assign(data)  # result2 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
result3 = paddle.assign(np.array([[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]], dtype='float32')) # result3 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]