mindspore.numpy.intersect1d

mindspore.numpy.intersect1d(ar1, ar2, assume_unique=False, return_indices=False)[source]

Find the intersection of two Tensors. Return the sorted, unique values that are in both of the input Tensors.

Parameters

  • ar1 (Union[int, float, bool, list, tuple, Tensor]) – Input tensor.

  • ar2 (Union[int, float, bool, list, tuple, Tensor]) – Input tensor.

  • assume_unique (bool) – If True, the input Tensors are assumed to be unique, which can speed up the calculation. If True but ar1 or ar2 are not unique, incorrect results and out-of-bounds indices could result. Default: False.

  • return_indices (bool) – If True, the indices which correspond to the intersection of two Tensors are returned. The first instance of a value is used if there are multiple. Default: False.

Returns

Tensor or tuple of Tensors. If return_indices is False, return the intersection tensor, otherwise return tuple of tensors.

Raises

  • TypeError – If input ar1 or ar2 is not array_like.

  • TypeError – If assume_unique or return_indices is not bool.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> np.intersect1d([1, 3, 4, 3], [3, 1, 2, 1])
Tensor(shape=[2], dtype=Int32, value=[1, 3])