Test code in pytorch 2.4 (#285)

* test code in pytorch 2.4

* update

ch02/01_main-chapter-code/ch02.ipynb

@@ -46,7 +46,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "torch version: 2.3.1\n",
+      "torch version: 2.4.0\n",
       "tiktoken version: 0.7.0\n"
      ]
     }
@@ -1244,7 +1244,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "PyTorch version: 2.3.1\n"
+      "PyTorch version: 2.4.0\n"
      ]
     }
    ],

ch02/01_main-chapter-code/dataloader.ipynb

@@ -38,9 +38,39 @@
     "This notebook contains the main takeaway, the data loading pipeline without the intermediate steps."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "2b4e8f2d-cb81-41a3-8780-a70b382e18ae",
+   "metadata": {},
+   "source": [
+    "Packages that are being used in this notebook:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
+   "id": "c7ed6fbe-45ac-40ce-8ea5-4edb212565e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "torch version: 2.4.0\n",
+      "tiktoken version: 0.7.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "from importlib.metadata import version\n",
+    "\n",
+    "print(\"torch version:\", version(\"torch\"))\n",
+    "print(\"tiktoken version:\", version(\"tiktoken\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
    "id": "0ed4b7db-3b47-4fd3-a4a6-5f4ed5dd166e",
    "metadata": {},
    "outputs": [],
@@ -107,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "664397bc-6daa-4b88-90aa-e8fc1fbd5846",
    "metadata": {},
    "outputs": [],
@@ -125,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "d3664332-e6bb-447e-8b96-203aafde8b24",
    "metadata": {},
    "outputs": [

ch02/01_main-chapter-code/exercise-solutions.ipynb

@@ -28,6 +28,36 @@
     "# Chapter 2 Exercise solutions"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "2ed9978c-6d8e-401b-9731-bec3802cbb96",
+   "metadata": {},
+   "source": [
+    "Packages that are being used in this notebook:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "78b55ed6-3312-4e30-89b8-51dc8a4a908f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "torch version: 2.4.0\n",
+      "tiktoken version: 0.7.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "from importlib.metadata import version\n",
+    "\n",
+    "print(\"torch version:\", version(\"torch\"))\n",
+    "print(\"tiktoken version:\", version(\"tiktoken\"))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "6f678e62-7bcb-4405-86ae-dce94f494303",
@@ -38,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "7614337f-f639-42c9-a99b-d33f74fa8a03",
    "metadata": {},
    "outputs": [],
@@ -50,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "4f235d87-be85-4ddf-95a6-af59fca13d82",
    "metadata": {},
    "outputs": [
@@ -69,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "45e4e8f0-3272-48bb-96f6-cced5584ceea",
    "metadata": {},
    "outputs": [
@@ -93,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "664397bc-6daa-4b88-90aa-e8fc1fbd5846",
    "metadata": {},
    "outputs": [
@@ -103,7 +133,7 @@
        "[33901]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -114,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "d3664332-e6bb-447e-8b96-203aafde8b24",
    "metadata": {},
    "outputs": [
@@ -124,7 +154,7 @@
        "[86]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -135,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "2773c09d-c136-4372-a2be-04b58d292842",
    "metadata": {},
    "outputs": [
@@ -145,7 +175,7 @@
        "[343]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -156,7 +186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "8a6abd32-1e0a-4038-9dd2-673f47bcdeb5",
    "metadata": {},
    "outputs": [
@@ -166,7 +196,7 @@
        "[86]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -177,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "26ae940a-9841-4e27-a1df-b83fc8a488b3",
    "metadata": {},
    "outputs": [
@@ -187,7 +217,7 @@
        "[220]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -198,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "a606c39a-6747-4cd8-bb38-e3183f80908d",
    "metadata": {},
    "outputs": [
@@ -208,7 +238,7 @@
        "[959]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -219,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "47c7268d-8fdc-4957-bc68-5be6113f45a7",
    "metadata": {},
    "outputs": [
@@ -229,7 +259,7 @@
        "'Akwirw ier'"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -248,7 +278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "4d50af16-937b-49e0-8ffd-42d30cbb41c9",
    "metadata": {},
    "outputs": [],
@@ -310,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "0128eefa-d7c8-4f76-9851-566dfa7c3745",
    "metadata": {},
    "outputs": [
@@ -323,7 +353,7 @@
        "        [ 402,  271]])"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -340,7 +370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "id": "ff5c1e90-c6de-4a87-adf6-7e19f603291c",
    "metadata": {},
    "outputs": [
@@ -353,7 +383,7 @@
        "        [  402,   271, 10899,  2138,   257,  7026, 15632,   438]])"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -385,7 +415,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,