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mindspore.ops.rank

mindspore.ops.rank(input_x)

Returns the rank of a tensor.

Returns a 0-D int32 Tensor representing the rank of input; the rank of a tensor is the number of indices required to uniquely select each element of the tensor.

Parameters

input_x (Tensor) – The shape of tensor is $(x_1,x_2,...,x_R)$. The data type is Number.

Returns

Tensor. 0-D int32 Tensor representing the rank of input, i.e., $R$. The data type is an int.

Raises

TypeError – If input_x is not a Tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_tensor = Tensor(np.array([[2, 2], [2, 2]]), mindspore.float32)
>>> output = ops.rank(input_tensor)
>>> print(output)
2
>>> print(type(output))
<class 'int'>