mindspore.Tensor.isclose

Tensor.isclose(x2, rtol=1e-05, atol=1e-08, equal_nan=False)[source]

Returns a boolean Tensor where two Tensors are element-wise equal within a tolerance.

Parameters

  • x2 (Tensor) – Second Tensor to compare, with data type belongs to float32, float16, int32.

  • rtol (float, optional) – Relative tolerance. Default: 1e-05.

  • atol (float, 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 Tensor and x2.

Raises

  • TypeError – If either of self Tensor and x2 is not Tensor.

  • TypeError – If either of self Tensor and x2 is not float16, float32 or int32.

  • TypeError – If either of atol and rtol is not float.

  • TypeError – If equal_nan is not bool.

  • TypeError – If the dtype of self Tensor is not same as the x2.

  • ValueError – If self Tensor and x2 can not be broadcast.

  • ValueError – If either of atol and rtol is less than zero.

Supported Platforms:

Ascend GPU CPU

Examples

>>> 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 = input.isclose(other)
>>> print(output)
[ True False False False  True]