Browse Source

moved images from quickstart to doc/img (#823)

Suraj Subramanian 4 months ago
parent
commit
ed87ba4abe

recipes/quickstart/images/a_colorful_llama_doing_ai_programming.jpeg → docs/img/a_colorful_llama_doing_ai_programming.jpeg


recipes/quickstart/images/cat.jpeg → docs/img/cat.jpeg


recipes/quickstart/images/gnocchi_alla_romana.jpeg → docs/img/gnocchi_alla_romana.jpeg


recipes/quickstart/images/grocery_shopping_bascket_with_salmon_in_package.jpeg → docs/img/grocery_shopping_bascket_with_salmon_in_package.jpeg


recipes/quickstart/images/llama-mobile-confirmed.png → docs/img/llama-mobile-confirmed.png


recipes/quickstart/images/llama-recipes.png → docs/img/llama-recipes.png


recipes/quickstart/images/llama_stack.png → docs/img/llama_stack.png


recipes/quickstart/images/meta_release.png → docs/img/meta_release.png


BIN
docs/img/resized_image.jpg


recipes/quickstart/images/thumbnail_IMG_1329.jpg → docs/img/thumbnail_IMG_1329.jpg


recipes/quickstart/images/thumbnail_IMG_1440.jpg → docs/img/thumbnail_IMG_1440.jpg


recipes/quickstart/images/thumbnail_IMG_6385.jpg → docs/img/thumbnail_IMG_6385.jpg


+ 28 - 28
recipes/quickstart/build_with_Llama_3_2.ipynb

@@ -417,7 +417,7 @@
     "    plt.axis('off')\n",
     "    plt.axis('off')\n",
     "    plt.show()\n",
     "    plt.show()\n",
     "\n",
     "\n",
-    "display_local_image(\"images/a_colorful_llama_doing_ai_programming.jpeg\")"
+    "display_local_image(\"../../docs/img/a_colorful_llama_doing_ai_programming.jpeg\")"
    ]
    ]
   },
   },
   {
   {
@@ -441,7 +441,7 @@
     "  with open(image_path, \"rb\") as img:\n",
     "  with open(image_path, \"rb\") as img:\n",
     "    return base64.b64encode(img.read()).decode('utf-8')\n",
     "    return base64.b64encode(img.read()).decode('utf-8')\n",
     "\n",
     "\n",
-    "base64_image = encode_image(\"images/a_colorful_llama_doing_ai_programming.jpeg\")"
+    "base64_image = encode_image(\"../../docs/img/a_colorful_llama_doing_ai_programming.jpeg\")"
    ]
    ]
   },
   },
   {
   {
@@ -525,8 +525,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/grocery_shopping_bascket_with_salmon_in_package.jpeg\")\n",
-    "base64_image = encode_image(\"images/grocery_shopping_bascket_with_salmon_in_package.jpeg\")"
+    "display_local_image(\"../../docs/img/grocery_shopping_bascket_with_salmon_in_package.jpeg\")\n",
+    "base64_image = encode_image(\"../../docs/img/grocery_shopping_bascket_with_salmon_in_package.jpeg\")"
    ]
    ]
   },
   },
   {
   {
@@ -1066,8 +1066,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/thumbnail_IMG_1329.jpg\")\n",
-    "img = Image.open(\"images/thumbnail_IMG_1329.jpg\")\n",
+    "display_local_image(\"../../docs/img/thumbnail_IMG_1329.jpg\")\n",
+    "img = Image.open(\"../../docs/img/thumbnail_IMG_1329.jpg\")\n",
     "width, height = img.size\n",
     "width, height = img.size\n",
     "print(\"Image dimensions:\", width, height)"
     "print(\"Image dimensions:\", width, height)"
    ]
    ]
@@ -1112,7 +1112,7 @@
     "  # Resize the image while maintaining aspect ratio\n",
     "  # Resize the image while maintaining aspect ratio\n",
     "  resized_img = img.resize((new_width, new_height))\n",
     "  resized_img = img.resize((new_width, new_height))\n",
     "\n",
     "\n",
-    "  resized_img.save(\"images/resized_image.jpg\")\n",
+    "  resized_img.save(\"../../docs/img/resized_image.jpg\")\n",
     "\n",
     "\n",
     "  print(\"Original size:\", original_width, \"x\", original_height)\n",
     "  print(\"Original size:\", original_width, \"x\", original_height)\n",
     "  print(\"New size:\", new_width, \"x\", new_height)\n",
     "  print(\"New size:\", new_width, \"x\", new_height)\n",
@@ -1121,7 +1121,7 @@
     "    \n",
     "    \n",
     "max_dimension = 1120\n",
     "max_dimension = 1120\n",
     "resized_img = resize_image(img)\n",
     "resized_img = resize_image(img)\n",
-    "base64_image = encode_image(\"images/resized_image.jpg\")"
+    "base64_image = encode_image(\"../../docs/img/resized_image.jpg\")"
    ]
    ]
   },
   },
   {
   {
@@ -1223,8 +1223,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/thumbnail_IMG_6385.jpg\")\n",
-    "img = Image.open(\"images/thumbnail_IMG_6385.jpg\")\n",
+    "display_local_image(\"../../docs/img/thumbnail_IMG_6385.jpg\")\n",
+    "img = Image.open(\"../../docs/img/thumbnail_IMG_6385.jpg\")\n",
     "width, height = img.size\n",
     "width, height = img.size\n",
     "print(\"Image dimensions:\", width, height)"
     "print(\"Image dimensions:\", width, height)"
    ]
    ]
@@ -1247,7 +1247,7 @@
    "source": [
    "source": [
     "max_dimension = 1120\n",
     "max_dimension = 1120\n",
     "resized_img = resize_image(img)\n",
     "resized_img = resize_image(img)\n",
-    "base64_image = encode_image(\"images/resized_image.jpg\")"
+    "base64_image = encode_image(\"../../docs/img/resized_image.jpg\")"
    ]
    ]
   },
   },
   {
   {
@@ -1320,7 +1320,7 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "base64_image = encode_image(\"images/resized_image.jpg\")\n",
+    "base64_image = encode_image(\"../../docs/img/resized_image.jpg\")\n",
     "\n",
     "\n",
     "messages = [\n",
     "messages = [\n",
     "  {\n",
     "  {\n",
@@ -1381,8 +1381,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/meta_release.png\")\n",
-    "base64_image = encode_image(\"images/meta_release.png\")"
+    "display_local_image(\"../../docs/img/meta_release.png\")\n",
+    "base64_image = encode_image(\"../../docs/img/meta_release.png\")"
    ]
    ]
   },
   },
   {
   {
@@ -1448,8 +1448,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/llama_stack.png\")\n",
-    "base64_image = encode_image(\"images/llama_stack.png\")"
+    "display_local_image(\"../../docs/img/llama_stack.png\")\n",
+    "base64_image = encode_image(\"../../docs/img/llama_stack.png\")"
    ]
    ]
   },
   },
   {
   {
@@ -1553,8 +1553,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/thumbnail_IMG_1440.jpg\")\n",
-    "img = Image.open(\"images/thumbnail_IMG_1440.jpg\")\n",
+    "display_local_image(\"../../docs/img/thumbnail_IMG_1440.jpg\")\n",
+    "img = Image.open(\"../../docs/img/thumbnail_IMG_1440.jpg\")\n",
     "width, height = img.size\n",
     "width, height = img.size\n",
     "print(\"Image dimensions:\", width, height)"
     "print(\"Image dimensions:\", width, height)"
    ]
    ]
@@ -1577,7 +1577,7 @@
    "source": [
    "source": [
     "max_dimension = 1120\n",
     "max_dimension = 1120\n",
     "resized_img = resize_image(img)\n",
     "resized_img = resize_image(img)\n",
-    "base64_image = encode_image(\"images/resized_image.jpg\")"
+    "base64_image = encode_image(\"../../docs/img/resized_image.jpg\")"
    ]
    ]
   },
   },
   {
   {
@@ -1686,11 +1686,11 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/thumbnail_IMG_6385.jpg\")\n",
-    "img = Image.open(\"images/thumbnail_IMG_6385.jpg\")\n",
+    "display_local_image(\"../../docs/img/thumbnail_IMG_6385.jpg\")\n",
+    "img = Image.open(\"../../docs/img/thumbnail_IMG_6385.jpg\")\n",
     "max_dimension = 1120\n",
     "max_dimension = 1120\n",
     "resized_img = resize_image(img)\n",
     "resized_img = resize_image(img)\n",
-    "base64_image = encode_image(\"images/resized_image.jpg\")"
+    "base64_image = encode_image(\"../../docs/img/resized_image.jpg\")"
    ]
    ]
   },
   },
   {
   {
@@ -2488,7 +2488,7 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/cat.jpeg\")"
+    "display_local_image(\"../../docs/img/cat.jpeg\")"
    ]
    ]
   },
   },
   {
   {
@@ -2626,7 +2626,7 @@
     "        if log is not None:\n",
     "        if log is not None:\n",
     "            log.print()\n",
     "            log.print()\n",
     "\n",
     "\n",
-    "await run_main(\"images/cat.jpeg\",\n",
+    "await run_main(\"../../docs/img/cat.jpeg\",\n",
     "         \"What cat breed is this? Tell me in detail about the breed.\")"
     "         \"What cat breed is this? Tell me in detail about the breed.\")"
    ]
    ]
   },
   },
@@ -2656,8 +2656,8 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "display_local_image(\"images/gnocchi_alla_romana.jpeg\")\n",
-    "img = Image.open(\"images/gnocchi_alla_romana.jpeg\")\n",
+    "display_local_image(\"../../docs/img/gnocchi_alla_romana.jpeg\")\n",
+    "img = Image.open(\"../../docs/img/gnocchi_alla_romana.jpeg\")\n",
     "resized_img = resize_image(img)"
     "resized_img = resize_image(img)"
    ]
    ]
   },
   },
@@ -2708,7 +2708,7 @@
     }
     }
    ],
    ],
    "source": [
    "source": [
-    "await run_main(\"images/resized_image.jpg\",\n",
+    "await run_main(\"../../docs/img/resized_image.jpg\",\n",
     "         \"What's the name of this dish? How can I make it?\")"
     "         \"What's the name of this dish? How can I make it?\")"
    ]
    ]
   },
   },
@@ -2739,7 +2739,7 @@
     "### ExecuTorch (XNNPACK framework)\n",
     "### ExecuTorch (XNNPACK framework)\n",
     "In this workshop we will walk you through the end to end workflow for building an android demo app using CPU on device via XNNPACK framework.\n",
     "In this workshop we will walk you through the end to end workflow for building an android demo app using CPU on device via XNNPACK framework.\n",
     "To do so we need to follow these steps:\n",
     "To do so we need to follow these steps:\n",
-    "<img src=\"images/llama-mobile-confirmed.png\" alt=\"\" /> \n",
+    "<img src=\"../../docs/img/llama-mobile-confirmed.png\" alt=\"\" /> \n",
     "\n",
     "\n",
     "\n",
     "\n",
     "For detailed explanation of each of these steps please see this [link](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md). Alternatively, you can follow this [tutorial](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md) for running Llama 3.2 lightweight models on your iOS device!"
     "For detailed explanation of each of these steps please see this [link](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md). Alternatively, you can follow this [tutorial](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md) for running Llama 3.2 lightweight models on your iOS device!"