mindspore.numpy.array_equal

mindspore.numpy.array_equal(a1, a2, equal_nan=False)[source]

Returns True if input arrays have same shapes and all elements equal.

Note

In mindspore, a bool tensor is returned instead, since in Graph mode, the value cannot be traced and computed at compile time.

Since on Ascend, nan is treated differently, currently the argument equal_nan is not supported on Ascend.

Parameters

a1/a2 (Union[int, float, bool, list, tuple, Tensor]) – Input arrays.
equal_nan (bool) – Whether to compare NaN's as equal. Default: False .

Returns

Scalar bool tensor, value is True if inputs are equal, False otherwise.

Raises

TypeError – If inputs have types not specified above.

Examples

>>> import mindspore.numpy as np
>>> a = [0,1,2]
>>> b = [[0,1,2], [0,1,2]]
>>> print(np.array_equal(a,b))
False