zeros¶

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

Creates a tensor of specified shape and dtype, and fills it with 0.

Parameters

• shape (tuple|list|Tensor) – Shape of the Tensor to be created. The data type is int32 or int64 . If shape is a list or tuple, each element of it should be integer or 0-D Tensor with shape []. If shape is an Tensor, it should be an 1-D Tensor which represents a list.

• dtype (np.dtype|str, optional) – Data type of output Tensor, it supports bool, float16, float32, float64, int32 and int64. Default: if None, the data type is float32.

• name (str, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.

Returns

A tensor of data type dtype with shape shape and all elements set to 0.

Return type

Tensor

Examples

>>> import paddle

>>> # shape is a list/tuple
>>> data1 = paddle.zeros(shape=[3, 2])
>>> print(data1.numpy())
[[0. 0.]
 [0. 0.]
 [0. 0.]]

>>> # shape is a Tensor
>>> shape = paddle.to_tensor([3, 2])
>>> data2 = paddle.zeros(shape=shape)
>>> print(data2.numpy())
[[0. 0.]
 [0. 0.]
 [0. 0.]]

>>> # shape is a Tensor List
>>> shape = [paddle.to_tensor(3), paddle.to_tensor(2)]
>>> data3 = paddle.zeros(shape=shape)
>>> print(data3.numpy())
[[0. 0.]
 [0. 0.]
 [0. 0.]]