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mindspore.mint.isclose

mindspore.mint.isclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False)

Returns a new Tensor with boolean elements representing if each element of input is “close” to the corresponding element of other. Closeness is defined as:

$$|input-other|\le atol+rtol\times |other|$$

Parameters

• input (Tensor) – First tensor to compare. Support dtype: float16, float32, float64, int8, int16, int32, int64 and uint8. On Ascend, more dtypes are support: bool and bfloat16.

• other (Tensor) – Second tensor to compare. Dtype must be same as input.

• rtol (Union[float, int, bool], optional) – Relative tolerance. Default: 1e-05 .

• atol (Union[float, int, bool], optional) – Absolute tolerance. Default: 1e-08 .

• equal_nan (bool, optional) – If True , then two NaNs will be considered equal. Default: False.

Returns

A bool Tensor, with the shape as broadcasted result of the input input and other.

Raises

• TypeError – input or other is not Tensor.

• TypeError – input or other dtype is not support.

• TypeError – atol or rtol is not float, int or bool.

• TypeError – equal_nan is not bool.

• TypeError – input and other have different dtypes.

• ValueError – input and other cannot broadcast.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> input = Tensor(np.array([1.3, 2.1, 3.2, 4.1, 5.1]), mindspore.float16)
>>> other = Tensor(np.array([1.3, 3.3, 2.3, 3.1, 5.1]), mindspore.float16)
>>> output = mint.isclose(input, other)
>>> print(output)
[ True False False False  True]