mindspore.numpy.result_type

mindspore.numpy.result_type(*arrays_and_dtypes)[source]

Returns the type that results from applying the type promotion rules to the arguments.

Note

The promotion rule is slightly different from original Numpy, but more like jax, due to the preference on 32-bit over 64-bit data types. Complex dtypes are not supported.

Parameters: *arrays_and_dtypes (Union[int, float, bool, list, tuple, Tensor, mindspore.dtype, str]) – The operands of some operation whose result type is needed.
Returns: mindspore.dtype, the result type.
Raises: TypeError – If the input is not a valid data type.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> print(np.result_type('i2', np.float32, True))
Float32