Fixes attempt to access removed .factories attribute (Project-MONAI#1558

)

Fixes Project-MONAI#1557  .

### Description
A few sentences describing the changes proposed in this pull request.

### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [ ] Avoid including large-size files in the PR.
- [ ] Clean up long text outputs from code cells in the notebook.
- [ ] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [ ] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`

modules/UNet_input_size_constraints.ipynb

@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 1,
    "id": "efcd04b9",
    "metadata": {},
    "outputs": [],
@@ -55,10 +55,54 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 2,
    "id": "86ee1f12",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MONAI version: 0+untagged.2891.gccd32ca\n",
+      "Numpy version: 1.25.1\n",
+      "Pytorch version: 2.0.1\n",
+      "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n",
+      "MONAI rev id: ccd32ca5e9e84562d2f388b45b6724b5c77c1f57\n",
+      "MONAI __file__: /Users/<username>/Envs/monai/lib/python3.9/site-packages/monai/__init__.py\n",
+      "\n",
+      "Optional dependencies:\n",
+      "Pytorch Ignite version: 0.4.11\n",
+      "ITK version: 5.3.0\n",
+      "Nibabel version: 5.1.0\n",
+      "scikit-image version: 0.21.0\n",
+      "scipy version: 1.11.1\n",
+      "Pillow version: 10.0.0\n",
+      "Tensorboard version: 2.13.0\n",
+      "gdown version: 4.7.1\n",
+      "TorchVision version: 0.15.2\n",
+      "tqdm version: 4.65.0\n",
+      "lmdb version: 1.4.1\n",
+      "psutil version: 5.9.5\n",
+      "pandas version: 2.0.3\n",
+      "einops version: 0.6.1\n",
+      "transformers version: 4.21.3\n",
+      "mlflow version: 2.4.2\n",
+      "pynrrd version: 1.0.0\n",
+      "clearml version: 1.11.2rc0\n",
+      "\n",
+      "For details about installing the optional dependencies, please visit:\n",
+      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "from monai.networks.nets import UNet\n",
     "import monai\n",
@@ -91,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 3,
    "id": "fd05bcb4",
    "metadata": {},
    "outputs": [
@@ -152,7 +196,7 @@
        ")"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -247,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 4,
    "id": "37f7e0e6",
    "metadata": {},
    "outputs": [],
@@ -271,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 5,
    "id": "0d5b0d70",
    "metadata": {},
    "outputs": [
@@ -291,7 +335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 6,
    "id": "3b1b4388",
    "metadata": {},
    "outputs": [
@@ -329,7 +373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 7,
    "id": "caece123",
    "metadata": {},
    "outputs": [
@@ -348,7 +392,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 8,
    "id": "f67804d2",
    "metadata": {},
    "outputs": [
@@ -382,23 +426,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 9,
    "id": "dc4be9d5",
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "dict_keys(['INSTANCE', 'BATCH', 'GROUP', 'LAYER', 'LOCALRESPONSE', 'SYNCBATCH'])"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('INSTANCE', 'BATCH', 'INSTANCE_NVFUSER', 'GROUP', 'LAYER', 'LOCALRESPONSE', 'SYNCBATCH')\n"
+     ]
     }
    ],
    "source": [
-    "monai.networks.layers.factories.Norm.factories.keys()"
+    "print(monai.networks.layers.factories.Norm.names)"
    ]
   },
   {
@@ -428,7 +469,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 10,
    "id": "732f2769",
    "metadata": {},
    "outputs": [],
@@ -461,7 +502,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 11,
    "id": "0a33cc15",
    "metadata": {},
    "outputs": [],
@@ -486,17 +527,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 12,
    "id": "23d75904",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "tensor([[[[[-0.7587]]]]])"
+       "tensor([[[[[-0.6150]]]]])"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -636,7 +677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 13,
    "id": "1bdc5c8e",
    "metadata": {},
    "outputs": [
@@ -671,7 +712,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 14,
    "id": "7485a83a",
    "metadata": {},
    "outputs": [
@@ -702,7 +743,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 15,
    "id": "6a31861f",
    "metadata": {},
    "outputs": [
@@ -770,7 +811,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 16,
    "id": "d234f140",
    "metadata": {},
    "outputs": [
@@ -806,7 +847,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 17,
    "id": "ccf53aa1",
    "metadata": {},
    "outputs": [
@@ -842,7 +883,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 18,
    "id": "da6e9277",
    "metadata": {},
    "outputs": [
@@ -894,7 +935,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,