adjust figure width

ch04/01_main-chapter-code/ch04.ipynb

@@ -21,7 +21,7 @@
    "id": "7d4f11e0-4434-4979-9dee-e1207df0eb01",
    "metadata": {},
    "source": [
-    "<img src=\"figures/mental-model.webp\" width=500px>"
+    "<img src=\"figures/mental-model.webp\" width=450px>"
    ]
   },
   {
@@ -48,7 +48,7 @@
    "id": "5c5213e9-bd1c-437e-aee8-f5e8fb717251",
    "metadata": {},
    "source": [
-    "<img src=\"figures/mental-model-2.webp\" width=300px>"
+    "<img src=\"figures/mental-model-2.webp\" width=350px>"
    ]
   },
   {
@@ -108,7 +108,7 @@
    "id": "4adce779-857b-4418-9501-12a7f3818d88",
    "metadata": {},
    "source": [
-    "<img src=\"figures/chapter-steps.webp\" width=500px>"
+    "<img src=\"figures/chapter-steps.webp\" width=350px>"
    ]
   },
   {
@@ -173,7 +173,7 @@
    "id": "9665e8ab-20ca-4100-b9b9-50d9bdee33be",
    "metadata": {},
    "source": [
-    "<img src=\"figures/gpt-in-out.webp\" width=300px>"
+    "<img src=\"figures/gpt-in-out.webp\" width=350px>"
    ]
   },
   {
@@ -271,7 +271,7 @@
    "id": "314ac47a-69cc-4597-beeb-65bed3b5910f",
    "metadata": {},
    "source": [
-    "<img src=\"figures/layernorm.webp\" width=300px>"
+    "<img src=\"figures/layernorm.webp\" width=350px>"
    ]
   },
   {
@@ -357,7 +357,7 @@
    "id": "570db83a-205c-4f6f-b219-1f6195dde1a7",
    "metadata": {},
    "source": [
-    "<img src=\"figures/layernorm2.webp\" width=300px>"
+    "<img src=\"figures/layernorm2.webp\" width=350px>"
    ]
   },
   {
@@ -528,7 +528,7 @@
    "id": "e136cfc4-7c89-492e-b120-758c272bca8c",
    "metadata": {},
    "source": [
-    "<img src=\"figures/overview-after-ln.webp\" width=300px>"
+    "<img src=\"figures/overview-after-ln.webp\" width=350px>"
    ]
   },
   {
@@ -673,7 +673,7 @@
    "id": "fdcaacfa-3cfc-4c9e-b668-b71a2753145a",
    "metadata": {},
    "source": [
-    "<img src=\"figures/ffn.webp\" width=300px>"
+    "<img src=\"figures/ffn.webp\" width=350px>"
    ]
   },
   {
@@ -703,7 +703,7 @@
    "id": "8f8756c5-6b04-443b-93d0-e555a316c377",
    "metadata": {},
    "source": [
-    "<img src=\"figures/mental-model-3.webp\" width=500px>"
+    "<img src=\"figures/mental-model-3.webp\" width=350px>"
    ]
   },
   {
@@ -725,7 +725,7 @@
     "- This is achieved by adding the output of one layer to the output of a later layer, usually skipping one or more layers in between\n",
     "- Let's illustrate this idea with a small example network:\n",
     "\n",
-    "<img src=\"figures/shortcut-example.webp\" width=300px>"
+    "<img src=\"figures/shortcut-example.webp\" width=350px>"
    ]
   },
   {
@@ -849,7 +849,7 @@
    "id": "36b64d16-94a6-4d13-8c85-9494c50478a9",
    "metadata": {},
    "source": [
-    "<img src=\"figures/transformer-block.webp\" width=300px>"
+    "<img src=\"figures/transformer-block.webp\" width=350px>"
    ]
   },
   {
@@ -909,7 +909,7 @@
    "id": "9b7b362d-f8c5-48d2-8ebd-722480ac5073",
    "metadata": {},
    "source": [
-    "<img src=\"figures/gpt.webp\" width=300px>"
+    "<img src=\"figures/gpt.webp\" width=350px>"
    ]
   },
   {
@@ -1153,7 +1153,7 @@
    "id": "0042c58e-995a-4a42-887f-613cad9f22b9",
    "metadata": {},
    "source": [
-    "<img src=\"figures/mental-model-final.webp\" width=300px>"
+    "<img src=\"figures/mental-model-final.webp\" width=350px>"
    ]
   },
   {
@@ -1177,7 +1177,7 @@
    "id": "caade12a-fe97-480f-939c-87d24044edff",
    "metadata": {},
    "source": [
-    "<img src=\"figures/iterative-gen.webp\" width=300px>"
+    "<img src=\"figures/iterative-gen.webp\" width=350px>"
    ]
   },
   {
@@ -1196,7 +1196,7 @@
    "id": "7ee0f32c-c18c-445e-b294-a879de2aa187",
    "metadata": {},
    "source": [
-    "<img src=\"figures/generate-text.webp\" width=600px>"
+    "<img src=\"figures/generate-text.webp\" width=350px>"
    ]
   },
   {
@@ -1239,7 +1239,7 @@
    "source": [
     "- The `generate_text_simple` above implements an iterative process, where it creates one token at a time\n",
     "\n",
-    "<img src=\"figures/iterative-generate.webp\" width=400px>"
+    "<img src=\"figures/iterative-generate.webp\" width=350px>"
    ]
   },
   {
@@ -1277,20 +1277,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "a72a9b60-de66-44cf-b2f9-1e638934ada4",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Output: tensor([[15496,    11,   314,   716, 27018, 24086, 47843, 30961, 42348,  7267,\n",
-      "         49706, 43231, 47062, 34657]])\n",
-      "Output length: 14\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "model.eval() # disable dropout\n",
     "\n",
@@ -1315,18 +1305,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "id": "053d99f6-5710-4446-8d52-117fb34ea9f6",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello, I am Featureiman Byeswickattribute argue logger Normandy Compton analogous\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "decoded_text = tokenizer.decode(out.squeeze(0).tolist())\n",
     "print(decoded_text)"