full¶
- paddle. full ( shape, fill_value, dtype=None, name=None ) [source]
-
Return a Tensor with the
fill_value
which size is same asshape
.- Parameters
-
shape (list|tuple|Tensor) – Shape of the Tensor to be created. The data type is
int32
orint64
. Ifshape
is a list or tuple, the elements of it should be integers or Tensors with shape [1]. Ifshape
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.
- Returns
-
Tensor which is created according to
shape
,fill_value
anddtype
. - Return type
-
Tensor
Examples
import paddle data1 = paddle.full(shape=[2,1], fill_value=0, dtype='int64') #[[0] # [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]]