深入浅出PaddlePaddle函数——paddle.zeros

分类目录：《深入浅出PaddlePaddle函数》总目录
相关文章：
· 深入浅出PaddlePaddle函数——paddle.Tensor
· 深入浅出PaddlePaddle函数——paddle.ones
· 深入浅出PaddlePaddle函数——paddle.zeros
· 深入浅出PaddlePaddle函数——paddle.full
· 深入浅出PaddlePaddle函数——paddle.ones_like
· 深入浅出PaddlePaddle函数——paddle.zeros_like
· 深入浅出PaddlePaddle函数——paddle.full_like

---

创建一个形状为shape、数据类型为dtype且值全为0的Tensor。

语法

paddle.zeros(shape, dtype=None, name=None)

参数

• shape：[tuple/list/Tensor] 要创建的Tensor的形状，shape的数据类型为int32或int64。
• dtype：[可选，np.dtype/str] 要创建的Tensor的数据类型，可以为bool、float16、float32、float64、int32 或int64。如果dtype为None，那么数据类型为float32。
• name：[可选，str] 具体用法请参见Name，一般无需设置，默认值为None。

返回值

Tensor，每个元素都是0，形状为 shape，数据类型为dtype。

实例

import paddledata = paddle.zeros(shape=[3, 2], dtype='float32')
# [[0. 0.]
#  [0. 0.]
#  [0. 0.]]
data = paddle.zeros(shape=[2, 2])
# [[0. 0.]
#  [0. 0.]]# shape is a Tensor
shape = paddle.full(shape=[2], dtype='int32', fill_value=2)
data3 = paddle.zeros(shape=shape, dtype='int32')
# [[0 0]
#  [0 0]]

函数实现

def zeros(shape, dtype=None, name=None):"""Creates a tensor of specified :attr:`shape` and :attr:`dtype`, and fills it with 0.Args:shape(tuple|list|Tensor): Shape of the Tensor to be created, the data type of ``shape`` is int32 or int64.dtype(np.dtype|str, optional): Data type of output Tensor, it supportsbool, float16, float32, float64, int32 and int64. Default: if None, the date type is float32.name(str, optional): The default value is None.  Normally there is no need for user to set thisproperty.  For more information, please refer to :ref:`api_guide_Name`.Returns:Tensor: A tensor of data type :attr:`dtype` with shape :attr:`shape` and all elements set to 0.Examples:.. code-block:: pythonimport paddledata = paddle.zeros(shape=[3, 2], dtype='float32')# [[0. 0.]#  [0. 0.]#  [0. 0.]]data = paddle.zeros(shape=[2, 2])# [[0. 0.]#  [0. 0.]]# shape is a Tensorshape = paddle.full(shape=[2], dtype='int32', fill_value=2)data3 = paddle.zeros(shape=shape, dtype='int32')# [[0 0]#  [0 0]]"""if dtype is None:dtype = 'float32'return fill_constant(value=0.0, shape=shape, dtype=dtype, name=name)