diff --git a/tutorial_notebooks/Tutorial_1_Medmnist_2D.ipynb b/tutorial_notebooks/Tutorial_1_Medmnist_2D.ipynb
index e8512f4..8a38b83 100644
--- a/tutorial_notebooks/Tutorial_1_Medmnist_2D.ipynb
+++ b/tutorial_notebooks/Tutorial_1_Medmnist_2D.ipynb
@@ -8,7 +8,8 @@
},
"source": [
"# Federated Learning with BloodMNIST2D Dataset\n",
- "[](https://colab.research.google.com/github/intel/fl-tutorial/blob/gh-pages/tutorial_notebooks/Tutorial_1_Medmnist_2D.ipynb)"
+ "[](https://colab.research.google.com/github/intel/fl-tutorial/blob/gh-pages/tutorial_notebooks/Tutorial_1_Medmnist_2D.ipynb)\n",
+ "### Note: If running the notebook on google colab, please make sure to use python version 3.8, OpenFL works with this version only."
]
},
{
@@ -21,6 +22,23 @@
"Let's get these out of the way first."
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "415e25ee",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#If python version != 3.8, then uncomment & run the following code to change the python version to 3.8\n",
+ "!python --version\n",
+ "\n",
+ "#!sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1\n",
+ "#!sudo update-alternatives --config python3\n",
+ "#!python3 --version\n",
+ "#!sudo apt install python3-pip\n",
+ "#!python --version"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 1,
@@ -73,7 +91,8 @@
],
"source": [
"!python -m pip install -U pip\n",
- "!python -m pip install tqdm torch torchvision medmnist matplotlib"
+ "!python -m pip install tqdm torch torchvision medmnist matplotlib\n",
+ "!pip install ipywidgets"
]
},
{
@@ -313,7 +332,7 @@
"output_type": "stream",
"text": [
"PyTorch 1.8.2+cu111\n",
- "MedMNIST 2.1.0\n"
+ "MedMNIST 2.2.1\n"
]
}
],
@@ -428,7 +447,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 6,
"id": "983adc4a",
"metadata": {
"colab": {
@@ -453,26 +472,21 @@
},
"outputs": [
{
- "data": {
- "text/html": [
- "[15:42:50] INFO MedMNIST data was loaded! medmnist_shard_descriptor.py:128\n",
- "
\n"
- ],
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- "\u001b[2;36m[15:42:50]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m MedMNIST data was loaded! \u001b]8;id=17042;file:///home/karan/workspace/fl-tutorial/tutorial_notebooks/openfl/openfl-tutorials/interactive_api/PyTorch_MedMNIST_2D/envoy/medmnist_shard_descriptor.py\u001b\\\u001b[2mmedmnist_shard_descriptor.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=596960;file:///home/karan/workspace/fl-tutorial/tutorial_notebooks/openfl/openfl-tutorials/interactive_api/PyTorch_MedMNIST_2D/envoy/medmnist_shard_descriptor.py#128\u001b\\\u001b[2m128\u001b[0m\u001b]8;;\u001b\\\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Downloading https://zenodo.org/record/6496656/files/bloodmnist.npz?download=1 to ./data/bloodmnist.npz\n"
+ ]
},
{
"data": {
- "text/html": [
- "[15:42:51] INFO MedMNIST data was loaded! medmnist_shard_descriptor.py:128\n",
- "
\n"
- ],
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "c8a7d5b935d449b4a39a871d8d9c2a3c",
+ "version_major": 2,
+ "version_minor": 0
+ },
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+ " 0%| | 0/35461855 [00:00"
]
@@ -832,59 +846,61 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "validate: 100%|██████████| 54/54 [00:01<00:00, 37.11it/s]\n"
+ "validate: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 54/54 [00:00<00:00, 121.60it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Before training: {'val_acc': 0.071, 'val_loss': 2.084}\n"
+ "Before training: {'val_acc': 0.182, 'val_loss': 2.082}\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "train: 100%|██████████| 187/187 [00:14<00:00, 13.07it/s]\n",
- "validate: 100%|██████████| 54/54 [00:01<00:00, 39.10it/s]\n"
+ "train: 0%| | 0/187 [00:00"
]
},
- "execution_count": 20,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -1372,7 +1404,7 @@
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+ "execution_count": 20,
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},
"metadata": {},
@@ -2132,12 +2313,23 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 22,
"id": "e5d793be-6c20-4a22-bad7-c082c1ee76ca",
"metadata": {
"id": "e5d793be-6c20-4a22-bad7-c082c1ee76ca"
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[None, None]"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# To stop all services run\n",
"!pkill fx\n",
@@ -2151,7 +2343,7 @@
"provenance": []
},
"kernelspec": {
- "display_name": "Python 3.8.0 ('venv': venv)",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -2165,7 +2357,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.0"
+ "version": "3.8.16"
},
"vscode": {
"interpreter": {
diff --git a/tutorial_notebooks/Tutorial_3_GaNDLF_OpenFL_tutorial.ipynb b/tutorial_notebooks/Tutorial_3_GaNDLF_OpenFL_tutorial.ipynb
index 8aa6844..dd715a5 100644
--- a/tutorial_notebooks/Tutorial_3_GaNDLF_OpenFL_tutorial.ipynb
+++ b/tutorial_notebooks/Tutorial_3_GaNDLF_OpenFL_tutorial.ipynb
@@ -8,6 +8,7 @@
"source": [
"# Federated GaNDLF Tutorial with PathMNIST Dataset\n",
"[](https://colab.research.google.com/github/intel/fl-tutorial/blob/gh-pages/tutorial_notebooks/Tutorial_3_GaNDLF_OpenFL_tutorial.ipynb)\n",
+ "### Note: If running the notebook on google colab, please make sure to use python version 3.8, OpenFL works with this version only.\n",
"\n",
"In this tutorial, we will be using the **Generally Nuanced Deep Learning Framework** (GaNDLF) to perform training and inference on a ResNet architecture, with PathMNIST, a dataset of colon pathology images, using [OpenFL](https://github.com/intel/openfl) in a federated learning fashion. This is a multi-class classification task: there are 9 different types of colon tissue displayed in the pathology images, each represented by its own class.\n",
"\n",
@@ -25,6 +26,22 @@
"Let's get these out of the way first."
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#If python version != 3.8, then uncomment & run the following code to change the python version to 3.8\n",
+ "!python --version\n",
+ "\n",
+ "#!sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1\n",
+ "#!sudo update-alternatives --config python3\n",
+ "#!python3 --version\n",
+ "#!sudo apt install python3-pip\n",
+ "#!python --version"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 1,
@@ -2043,7 +2060,7 @@
},
"gpuClass": "standard",
"kernelspec": {
- "display_name": "Python 3.8.0 ('venv': venv)",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -2057,7 +2074,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.0"
+ "version": "3.8.16"
},
"vscode": {
"interpreter": {