paddle. full ( shape, fill_value, dtype=None, name=None ) [source]

Return a Tensor with the fill_value which size is same as shape.

  • shape (list|tuple|Tensor) – Shape of the Tensor to be created. The data type is int32 or int64 . If shape is a list or tuple, the elements of it should be integers or Tensors with shape [1]. If shape is an Tensor, it should be an 1-D Tensor.

  • fill_value (bool|float|int|Tensor) – The constant value used to initialize the Tensor to be created. If fill_value is an Tensor, it must be an 1-D Tensor.

  • dtype (np.dtype|str, optional) – Data type of the output Tensor which can be float16, float32, float64, int32, int64, if dytpe is None, the data type of created Tensor is float32.

  • name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.


Tensor which is created according to shape, fill_value and dtype.

Return type



import paddle

data1 = paddle.full(shape=[2,1], fill_value=0, dtype='int64')
# [0]]

# attr shape is a list which contains Tensor.
positive_2 = paddle.full([1], 2, "int32")
data3 = paddle.full(shape=[1, positive_2], dtype='float32', fill_value=1.5)
# [[1.5 1.5]]

# attr shape is a Tensor.
shape = paddle.full([2], 2, "int32")
data4 = paddle.full(shape=shape, dtype='bool', fill_value=True)
# [[True True]
#  [True True]]

# attr fill_value is a Tensor.
val = paddle.full([1], 2.0, "float32")
data5 = paddle.full(shape=[2,1], fill_value=val, dtype='float32')
# [[2.0]
#  [2.0]]