device widget part 2 (openvinotoolkit#2321)

Author: eaidova

notebooks/3D-pose-estimation-webcam/3D-pose-estimation.ipynb

@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "9de9a93e-9247-4799-a5bb-2ec1575ae8c2",
    "metadata": {},
@@ -63,6 +64,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "7925a51b-26ec-43c5-9660-0705c03d724d",
    "metadata": {},
@@ -80,10 +82,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install pythreejs \"openvino-dev>=2024.0.0\" \"opencv-python\" \"torch\" \"onnx\" --extra-index-url https://download.pytorch.org/whl/cpu"
+    "%pip install pythreejs \"openvino-dev>=2024.0.0\" \"opencv-python\" \"torch\" \"onnx<1.16.2\" --extra-index-url https://download.pytorch.org/whl/cpu"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "5a9332fb-1cee-4faa-9555-731ddf0e0df7",
    "metadata": {},
@@ -129,6 +132,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "c96ad61a-59ff-4873-b2f3-3994d6826f51",
    "metadata": {},
@@ -170,6 +174,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "88f39f76-2f81-4c18-9fda-98ea6a944220",
    "metadata": {},
@@ -195,6 +200,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "6458fe97-6e93-4357-bc9a-16394d962e56",
    "metadata": {},
@@ -218,6 +224,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "986a07ac-d092-4254-848a-dd48f4934fb5",
    "metadata": {},
@@ -252,6 +259,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "5c0ffd17-df71-4178-8df8-db4ccf431621",
    "metadata": {},
@@ -270,6 +278,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "48eb5032-a06e-48c1-a3d6-f0fbad9924fb",
    "metadata": {},
@@ -316,6 +325,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "6991403a-4f87-45be-9b3f-d30b23a46dbe",
    "metadata": {},
@@ -425,6 +435,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "a6894ce8-ac91-464d-a7f7-54d09f399f4f",
    "metadata": {},
@@ -600,6 +611,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "344840a6-9660-4a11-8b05-729ac2969e28",
    "metadata": {},
@@ -619,6 +631,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "d2d1a143-afcb-4f22-a4cc-657a080b70bf",
    "metadata": {},

notebooks/amused-lightweight-text-to-image/amused-lightweight-text-to-image.ipynb

@@ -80,6 +80,22 @@
     "%pip install -q \"nncf>=2.9.0\" datasets"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c23018e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Fetch the notebook utils script from the openvino_notebooks repo\n",
+    "import requests\n",
+    "\n",
+    "r = requests.get(\n",
+    "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/notebook_utils.py\",\n",
+    ")\n",
+    "open(\"notebook_utils.py\", \"w\").write(r.text)"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -496,16 +512,9 @@
     }
    ],
    "source": [
-    "import ipywidgets as widgets\n",
-    "\n",
+    "from notebook_utils import device_widget\n",
     "\n",
-    "core = ov.Core()\n",
-    "device = widgets.Dropdown(\n",
-    "    options=core.available_devices + [\"AUTO\"],\n",
-    "    value=\"AUTO\",\n",
-    "    description=\"Device:\",\n",
-    "    disabled=False,\n",
-    ")\n",
+    "device = device_widget()\n",
     "\n",
     "device"
    ]
@@ -522,6 +531,8 @@
    },
    "outputs": [],
    "source": [
+    "core = ov.Core()\n",
+    "\n",
     "ov_text_encoder = core.compile_model(TEXT_ENCODER_OV_PATH, device.value)\n",
     "ov_transformer = core.compile_model(TRANSFORMER_OV_PATH, device.value)\n",
     "ov_vqvae = core.compile_model(VQVAE_OV_PATH, device.value)"
@@ -755,10 +766,12 @@
    },
    "outputs": [],
    "source": [
+    "from notebook_utils import quantization_widget\n",
+    "\n",
     "QUANTIZED_TRANSFORMER_OV_PATH = Path(str(TRANSFORMER_OV_PATH).replace(\".xml\", \"_quantized.xml\"))\n",
     "\n",
     "skip_for_device = \"GPU\" in device.value\n",
-    "to_quantize = widgets.Checkbox(value=not skip_for_device, description=\"Quantization\", disabled=skip_for_device)\n",
+    "to_quantize = quantization_widget(not skip_for_device)\n",
     "to_quantize"
    ]
   },
@@ -774,8 +787,6 @@
    },
    "outputs": [],
    "source": [
-    "import requests\n",
-    "\n",
     "r = requests.get(\n",
     "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/skip_kernel_extension.py\",\n",
     ")\n",
@@ -1067,6 +1078,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import ipywidgets as widgets\n",
+    "\n",
     "quantized_model_present = QUANTIZED_TRANSFORMER_OV_PATH.exists()\n",
     "\n",
     "use_quantized_model = widgets.Checkbox(\n",
@@ -1085,7 +1098,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import requests\n",
     "from pathlib import Path\n",
     "\n",
     "if not Path(\"gradio_helper.py\").exists():\n",

notebooks/animate-anyone/animate-anyone.ipynb

@@ -86,6 +86,12 @@
     "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/skip_kernel_extension.py\",\n",
     ")\n",
     "open(\"skip_kernel_extension.py\", \"w\").write(r.text)\n",
+    "\n",
+    "r = requests.get(\n",
+    "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/notebook_utils.py\",\n",
+    ")\n",
+    "open(\"notebook_utils.py\", \"w\").write(r.text)\n",
+    "\n",
     "%load_ext skip_kernel_extension"
    ]
   },
@@ -165,7 +171,6 @@
     "from diffusers.image_processor import VaeImageProcessor\n",
     "from transformers import CLIPImageProcessor\n",
     "import torch\n",
-    "import ipywidgets as widgets\n",
     "\n",
     "from src.pipelines.pipeline_pose2vid_long import Pose2VideoPipeline\n",
     "from src.utils.util import get_fps, read_frames\n",
@@ -1116,14 +1121,9 @@
     }
    ],
    "source": [
-    "device = widgets.Dropdown(\n",
-    "    options=core.available_devices + [\"AUTO\"],\n",
-    "    value=\"AUTO\",\n",
-    "    description=\"Device:\",\n",
-    "    disabled=False,\n",
-    ")\n",
+    "from notebook_utils import device_widget\n",
     "\n",
-    "device"
+    "device = device_widget()"
    ]
   },
   {

notebooks/bark-text-to-audio/bark-text-to-audio.ipynb

@@ -75,6 +75,21 @@
     "%pip install -q \"git+https://github.com/suno-ai/bark.git\" --extra-index-url https://download.pytorch.org/whl/cpu"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d44f17c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "\n",
+    "r = requests.get(\n",
+    "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/notebook_utils.py\",\n",
+    ")\n",
+    "open(\"notebook_utils.py\", \"w\").write(r.text)"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -1020,17 +1035,9 @@
     }
    ],
    "source": [
-    "import ipywidgets as widgets\n",
-    "import openvino as ov\n",
+    "from notebook_utils import device_widget\n",
     "\n",
-    "core = ov.Core()\n",
-    "\n",
-    "device = widgets.Dropdown(\n",
-    "    options=core.available_devices + [\"AUTO\"],\n",
-    "    value=\"AUTO\",\n",
-    "    description=\"Device:\",\n",
-    "    disabled=False,\n",
-    ")\n",
+    "device = device_widget()\n",
     "\n",
     "device"
    ]

notebooks/big-transfer-quantization/tensorflow-bit-image-classification-nncf-quantization.ipynb

@@ -88,7 +88,14 @@
     "import tensorflow_hub as hub\n",
     "\n",
     "tfds.core.utils.gcs_utils._is_gcs_disabled = True\n",
-    "os.environ[\"NO_GCE_CHECK\"] = \"true\""
+    "os.environ[\"NO_GCE_CHECK\"] = \"true\"\n",
+    "\n",
+    "import requests\n",
+    "\n",
+    "r = requests.get(\n",
+    "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/notebook_utils.py\",\n",
+    ")\n",
+    "open(\"notebook_utils.py\", \"w\").write(r.text)"
    ]
   },
   {
@@ -446,16 +453,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import ipywidgets as widgets\n",
-    "\n",
-    "core = ov.Core()\n",
+    "from notebook_utils import device_widget\n",
     "\n",
-    "device = widgets.Dropdown(\n",
-    "    options=core.available_devices + [\"AUTO\"],\n",
-    "    value=\"AUTO\",\n",
-    "    description=\"Device:\",\n",
-    "    disabled=False,\n",
-    ")\n",
+    "device = device_widget()\n",
     "\n",
     "device"
    ]
@@ -470,6 +470,8 @@
    },
    "outputs": [],
    "source": [
+    "core = ov.Core()\n",
+    "\n",
     "ov_fp32_model = core.read_model(ir_path)\n",
     "ov_fp32_model.reshape([1, IMG_SIZE[0], IMG_SIZE[1], 3])\n",
     "\n",

notebooks/clip-language-saliency-map/clip-language-saliency-map.ipynb

@@ -112,7 +112,12 @@
     "import torch\n",
     "import tqdm\n",
     "from PIL import Image\n",
-    "from transformers import CLIPModel, CLIPProcessor"
+    "from transformers import CLIPModel, CLIPProcessor\n",
+    "\n",
+    "r = requests.get(\n",
+    "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/notebook_utils.py\",\n",
+    ")\n",
+    "open(\"notebook_utils.py\", \"w\").write(r.text)"
    ]
   },
   {
@@ -640,14 +645,9 @@
     }
    ],
    "source": [
-    "import ipywidgets as widgets\n",
+    "from notebook_utils import device_widget\n",
     "\n",
-    "device = widgets.Dropdown(\n",
-    "    options=core.available_devices + [\"AUTO\"],\n",
-    "    value=\"AUTO\",\n",
-    "    description=\"Device:\",\n",
-    "    disabled=False,\n",
-    ")\n",
+    "device = device_widget()\n",
     "\n",
     "device"
    ]

notebooks/clip-zero-shot-image-classification/clip-zero-shot-classification.ipynb

@@ -95,7 +95,14 @@
     "if platform.system() != \"Windows\":\n",
     "    %pip install -q \"matplotlib>=3.4\"\n",
     "else:\n",
-    "    %pip install -q \"matplotlib>=3.4,<3.7\""
+    "    %pip install -q \"matplotlib>=3.4,<3.7\"\n",
+    "\n",
+    "import requests\n",
+    "\n",
+    "r = requests.get(\n",
+    "    url=\"https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/latest/utils/notebook_utils.py\",\n",
+    ")\n",
+    "open(\"notebook_utils.py\", \"w\").write(r.text)"
    ]
   },
   {
@@ -325,14 +332,9 @@
     }
    ],
    "source": [
-    "import ipywidgets as widgets\n",
+    "from notebook_utils import device_widget\n",
     "\n",
-    "device = widgets.Dropdown(\n",
-    "    options=core.available_devices + [\"AUTO\"],\n",
-    "    value=\"AUTO\",\n",
-    "    description=\"Device:\",\n",
-    "    disabled=False,\n",
-    ")\n",
+    "device = device_widget()\n",
     "\n",
     "device"
    ]