mindspore.numpy.isinf

mindspore.numpy.isinf(x, dtype=None)[source]

Tests element-wise for positive or negative infinity.

Returns a boolean array of the same shape as x, True where x == +/-inf, otherwise False.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. Only np.float32 is currently supported.

Parameters

x (Tensor) – Input values.
dtype (mindspore.dtype, optional) – Default: None . Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, true where x is positive or negative infinity, false otherwise. This is a scalar if x is a scalar.

Supported Platforms:: GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.isinf(np.array(np.inf, np.float32))
>>> print(output)
True
>>> output = np.isinf(np.array([np.inf, -np.inf, 1.0, np.nan], np.float32))
>>> print(output)
[ True  True False False]