dtype

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Overview

MindSpore tensors support different data types, including int8, int16, int32, int64, uint8, uint16, uint32, uint64, float16, float32, float64 and bool_, which correspond to the data types of NumPy.

In the computation process of MindSpore, the int data type in Python is converted into the defined int64 type, and the float data type is converted into the defined float32 type.

For details about the supported types, see https://www.mindspore.cn/doc/api_python/en/r1.1/mindspore/mindspore.html#mindspore.dtype.

In the following code, the data type of MindSpore is int32.

from mindspore import dtype as mstype

data_type = mstype.int32
print(data_type)

The following information is displayed:

Int32

Data Type Conversion API

MindSpore provides the following APIs for conversion between NumPy data types and Python built-in data types:

  • dtype_to_nptype: converts the data type of MindSpore to the corresponding data type of NumPy.

  • dtype_to_pytype: converts the data type of MindSpore to the corresponding built-in data type of Python.

  • pytype_to_dtype: converts the built-in data type of Python to the corresponding data type of MindSpore.

The following code implements the conversion between different data types and prints the converted type.

from mindspore import dtype as mstype

np_type = mstype.dtype_to_nptype(mstype.int32)
ms_type = mstype.pytype_to_dtype(int)
py_type = mstype.dtype_to_pytype(mstype.float64)

print(np_type)
print(ms_type)
print(py_type)

The following information is displayed:

<class 'numpy.int32'>
Int64
<class 'float'>