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.

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.]]