resize_

paddle.Tensor. resize_ ( x: paddle.Tensor, shape: Sequence[int], fill_zero: bool = False, name: str | None = None ) → paddle.Tensor

Resize x with specified shape.

Parameters

  • x (Tensor) – An arbitrary Tensor. The data type supports bfloat16, float16, float32, float64, bool, int8, int16, int32, int64, uint8, complex64 or complex128.

  • shape (list|tuple) – Define the target shape. Each element of it should be integer.

  • fill_zero (bool, optional) – If the size of specified shape is greater than the original Tensor size, the new Tensor will be filled with zero if fill_zero is True. Default: False, which means the filled value will be undetermined.

  • name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

Tensor, the resized Tensor.

Examples

>>> import paddle

>>> x = paddle.to_tensor([1., 2., 3.])
>>> x.resize_([2, 1])
>>> print(x)
Tensor(shape=[2, 1], dtype=float32, place=Place(cpu), stop_gradient=True,
[[1.],
 [2.]])

>>> x = paddle.to_tensor([1., 2., 3.])
>>> x.resize_([2, 3], fill_zero=True)
>>> print(x)
Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[1., 2., 3.],
 [0., 0., 0.]])