mindspore.Tensor.new_empty

Tensor.new_empty(size, *, dtype=None, device=None) → Tensor

Returns an uninitialized Tensor. Its shape is specified by size, its dtype is specified by dtype and its device is specified by device.

Warning

This is an experimental API that is subject to change or deletion.

Parameters

size (Union[tuple[int], list[int], int]) – The specified shape of output tensor. Only positive integer or tuple or list containing positive integers are allowed.

Keyword Arguments

• dtype (mindspore.dtype, optional) – The specified dtype of the output tensor. If dtype = None, the tensor will have the same dtype as self. Default None.

• device (string, optional) – The specified device of the output tensor. In PyNative mode, "Ascend", "npu", "cpu" and "CPU" are supported. In graph mode O0, "Ascend" and "npu" are supported. If device = None, the value set by mindspore.set_device() will be used. Default None.

Returns

Tensor, whose shape, dtype and device are defined by input but with uninitialized data (May be a random value).

Raises

TypeError – If size is neither an int nor a tuple or list of int.

Supported Platforms:

Ascend CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor
>>> x = Tensor([[1, 2, 3], [4, 5, 6]])
>>> output1 = x.new_empty((2, 3))
>>> print(output1)
[[0 0 0]
 [0 0 0]]
>>> output2 = x.new_empty((2, 3), dtype=mindspore.float64)
>>> print(output2)
[[0. 0. 0.]
 [0. 0. 0.]]