zeros_like

paddle. zeros_like ( x, dtype=None, name=None ) [source]

This OP returns a Tensor filled with the value 0, with the same shape and data type (use dtype if dtype is not None) as x.

Parameters

  • x (Tensor) – The input tensor which specifies shape and dtype. The dtype of x can be bool, float16, float32, float64, int32, int64.

  • dtype (str|np.dtype|core.VarDesc.VarType, optional) – The data type of the output tensor. Supported data types: bool, float16, float32, float64, int32, int64. If dtype is None, the data type is the same as x. Default is None.

  • 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 filled with the value 0, with the same shape and data type (use dtype if dtype is not None) as x.

Return type

Tensor

Raises

  • TypeError – If dtype is not None and is not bool, float16, float32,

  • float64, int32 or int64. –

Examples

import paddle

x = paddle.to_tensor([1, 2, 3])
out1 = paddle.zeros_like(x) # [0., 0., 0.]
out2 = paddle.zeros_like(x, dtype='int32') # [0, 0, 0]