expand¶

paddle. expand ( x, shape, name=None ) [source]

Expand the input tensor to a given shape.

Both the number of dimensions of x and the number of elements in shape should be less than or equal to 6. And the number of dimensions of x should be less than the number of elements in shape. The dimension to expand must have a value 0.

Parameters

• x (Tensor) – The input Tensor, its data type is bool, float16, float32, float64, int32, int64, uint8, uint16, complex64 or complex128.

• shape (list|tuple|Tensor) – The result shape after expanding. The data type is int32. If shape is a list or tuple, all its elements should be integers or 0-D or 1-D Tensors with the data type int32. If shape is a Tensor, it should be an 1-D Tensor with the data type int32. The value -1 in shape means keeping the corresponding dimension unchanged.

• 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

N-D Tensor, A Tensor with the given shape. The data type is the same as x.

Examples

>>> import paddle

>>> data = paddle.to_tensor([1, 2, 3], dtype='int32')
>>> out = paddle.expand(data, shape=[2, 3])
>>> print(out)
Tensor(shape=[2, 3], dtype=int32, place=Place(cpu), stop_gradient=True,
[[1, 2, 3],
 [1, 2, 3]])