paddle.fluid.layers.tensor. ones ( shape, dtype, force_cpu=False ) [source]

The OP creates a tensor of specified shape and dtype, and fills it with 1. Its stop_gradient will be set to True to stop gradient computation.

  • shape (tuple|list|Tensor) – Shape of output Tensor, the data type of shape is int32 or int64.

  • dtype (np.dtype|str) – Data type of output Tensor, it supports bool, float16, float32, float64, int32 and int64.

  • force_cpu (bool, optional) – Whether force to store the output Tensor in CPU memory. If force_cpu is False, the output Tensor will be stored in running device memory. Default: False.


A tensor of data type dtype with shape shape and all elements set to 1.

Return type



import paddle.fluid as fluid
data0 = fluid.layers.ones(shape=[2, 4], dtype='float32') # [[1., 1., 1., 1.], [1., 1., 1., 1.]]

# shape is a Tensor
shape = fluid.layers.fill_constant(shape=[2], dtype='int32', value=2)
data1 = fluid.layers.ones(shape=shape, dtype='int32') #[[1, 1], [1, 1]]