{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# DataType\n",
    "\n",
    "`Ascend` `GPU` `CPU` `入门`\n",
    "\n",
    "[![在线运行](https://gitee.com/mindspore/docs/raw/r1.6/resource/_static/logo_modelarts.png)](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2R0eXBlLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [![下载Notebook](https://gitee.com/mindspore/docs/raw/r1.6/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r1.6/programming_guide/zh_cn/mindspore_dtype.ipynb) [![下载样例代码](https://gitee.com/mindspore/docs/raw/r1.6/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r1.6/programming_guide/zh_cn/mindspore_dtype.py) [![查看源文件](https://gitee.com/mindspore/docs/raw/r1.6/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/r1.6/docs/mindspore/programming_guide/source_zh_cn/dtype.ipynb)"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 概述\n",
    "\n",
    "MindSpore张量支持不同的数据类型，包含`int8`、`int16`、`int32`、`int64`、`uint8`、`uint16`、`uint32`、`uint64`、`float16`、`float32`、`float64`、`bool_`，与NumPy的数据类型一一对应。\n",
    "\n",
    "在MindSpore的运算处理流程中，Python中的`int`数会被转换为定义的`int64`类型，`float`数会被转换为定义的`float32`类型。\n",
    "\n",
    "详细的类型支持情况请参考：<https://www.mindspore.cn/docs/api/zh-CN/r1.6/api_python/mindspore.html#mindspore.dtype>。\n",
    "\n",
    "以下代码，打印MindSpore的数据类型int32。"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "from mindspore import dtype as mstype\n",
    "\n",
    "data_type = mstype.int32\n",
    "print(data_type)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Int32\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 数据类型转换接口\n",
    "\n",
    "MindSpore提供了以下几个接口，实现与NumPy数据类型和Python内置的数据类型间的转换。\n",
    "\n",
    "- `dtype_to_nptype`：将MindSpore的数据类型转换为NumPy对应的数据类型。\n",
    "\n",
    "- `dtype_to_pytype`：将MindSpore的数据类型转换为Python对应的内置数据类型。\n",
    "\n",
    "- `pytype_to_dtype`：将Python内置的数据类型转换为MindSpore对应的数据类型。\n",
    "\n",
    "以下代码实现了不同数据类型间的转换，并打印转换后的类型。"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "from mindspore import dtype as mstype\n",
    "\n",
    "np_type = mstype.dtype_to_nptype(mstype.int32)\n",
    "ms_type = mstype.pytype_to_dtype(int)\n",
    "py_type = mstype.dtype_to_pytype(mstype.float64)\n",
    "\n",
    "print(np_type)\n",
    "print(ms_type)\n",
    "print(py_type)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "<class 'numpy.int32'>\n",
      "Int64\n",
      "<class 'float'>\n"
     ]
    }
   ],
   "metadata": {}
  }
 ],
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