测试

read_data.ipynb

@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f0668822",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "from torch.utils.data import Dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a68847cd",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Help on class Dataset in module torch.utils.data.dataset:\n",
+      "\n",
+      "class Dataset(typing.Generic)\n",
+      " |  An abstract class representing a :class:`Dataset`.\n",
+      " |  \n",
+      " |  All datasets that represent a map from keys to data samples should subclass\n",
+      " |  it. All subclasses should overwrite :meth:`__getitem__`, supporting fetching a\n",
+      " |  data sample for a given key. Subclasses could also optionally overwrite\n",
+      " |  :meth:`__len__`, which is expected to return the size of the dataset by many\n",
+      " |  :class:`~torch.utils.data.Sampler` implementations and the default options\n",
+      " |  of :class:`~torch.utils.data.DataLoader`.\n",
+      " |  \n",
+      " |  .. note::\n",
+      " |    :class:`~torch.utils.data.DataLoader` by default constructs a index\n",
+      " |    sampler that yields integral indices.  To make it work with a map-style\n",
+      " |    dataset with non-integral indices/keys, a custom sampler must be provided.\n",
+      " |  \n",
+      " |  Method resolution order:\n",
+      " |      Dataset\n",
+      " |      typing.Generic\n",
+      " |      builtins.object\n",
+      " |  \n",
+      " |  Methods defined here:\n",
+      " |  \n",
+      " |  __add__(self, other: 'Dataset[T_co]') -> 'ConcatDataset[T_co]'\n",
+      " |  \n",
+      " |  __getitem__(self, index) -> +T_co\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Data descriptors defined here:\n",
+      " |  \n",
+      " |  __dict__\n",
+      " |      dictionary for instance variables (if defined)\n",
+      " |  \n",
+      " |  __weakref__\n",
+      " |      list of weak references to the object (if defined)\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Data and other attributes defined here:\n",
+      " |  \n",
+      " |  __annotations__ = {}\n",
+      " |  \n",
+      " |  __orig_bases__ = (typing.Generic[+T_co],)\n",
+      " |  \n",
+      " |  __parameters__ = (+T_co,)\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Class methods inherited from typing.Generic:\n",
+      " |  \n",
+      " |  __class_getitem__(params) from builtins.type\n",
+      " |      Parameterizes a generic class.\n",
+      " |      \n",
+      " |      At least, parameterizing a generic class is the *main* thing this method\n",
+      " |      does. For example, for some generic class `Foo`, this is called when we\n",
+      " |      do `Foo[int]` - there, with `cls=Foo` and `params=int`.\n",
+      " |      \n",
+      " |      However, note that this method is also called when defining generic\n",
+      " |      classes in the first place with `class Foo(Generic[T]): ...`.\n",
+      " |  \n",
+      " |  __init_subclass__(*args, **kwargs) from builtins.type\n",
+      " |      This method is called when a class is subclassed.\n",
+      " |      \n",
+      " |      The default implementation does nothing. It may be\n",
+      " |      overridden to extend subclasses.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "help(Dataset)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "de52bf0e",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "class Mydata(DataSet):\n",
+    "    def __init__(DataSet):\n",
+    "        pass\n",
+    "    \n",
+    "    def __getitem__(self,idx):\n",
+    "         \n",
+    "        \n",
+    "        "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}