assign¶
该OP将输入Tensor或numpy数组拷贝至输出Tensor。
参数¶
input (Variable|np.ndarray) - 输入Tensor或numpy数组，支持数据类型为float32, float64, int32, int64和bool。
output (Variable，可选) - 输出Tensor。如果为None，则创建一个新的Tensor作为输出Tensor，默认值为None。
返回¶
输出Tensor，形状、数据类型、数据值和 input 一致。
返回类型¶
Variable
代码示例¶
import paddle.fluid as fluid
import numpy as np
data = fluid.layers.fill_constant(shape=[3, 2], value=2.5, dtype='float64') # [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
result1 = fluid.layers.create_tensor(dtype='float64')
fluid.layers.assign(data, result1) # result1 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
result2 = fluid.layers.assign(data) # result2 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
result3 = fluid.layers.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]]