From 34ab3052c7980d7d405c14a737750dbbab4ba989 Mon Sep 17 00:00:00 2001
From: edyoshikun <edyoshikun@users.noreply.github.com>
Date: Sun, 25 Aug 2024 17:44:01 +0000
Subject: [PATCH] Commit from GitHub Actions (Build Notebooks)

---
 exercise.ipynb | 17 +++++++++++++----
 solution.ipynb | 13 ++++++++++---
 2 files changed, 23 insertions(+), 7 deletions(-)

diff --git a/exercise.ipynb b/exercise.ipynb
index 5b23448..a8fee33 100644
--- a/exercise.ipynb
+++ b/exercise.ipynb
@@ -960,7 +960,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "1d678c03",
-   "metadata": {},
+   "metadata": {
+    "lines_to_next_cell": 0
+   },
    "outputs": [],
    "source": [
     "# Check if GPU is available\n",
@@ -986,7 +988,11 @@
     "    ),\n",
     ")\n",
     "# Launch training and check that loss and images are being logged on tensorboard.\n",
-    "trainer.fit(phase2fluor_model, datamodule=phase2fluor_2D_data)"
+    "trainer.fit(phase2fluor_model, datamodule=phase2fluor_2D_data)\n",
+    "\n",
+    "# Move the model to the GPU.\n",
+    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+    "phase2fluor_model.to(device)"
    ]
   },
   {
@@ -1322,8 +1328,11 @@
     "pretrained_phase2fluor = VSUNet.load_from_checkpoint(\n",
     "    pretrained_model_ckpt,\n",
     "    architecture=...,\n",
-    "    module_config=phase2fluor_config,\n",
-    ")"
+    "    model_config=phase2fluor_config,\n",
+    "    accelerator='gpu'\n",
+    ")\n",
+    "# TODO: Setup the dataloader in evaluation/predict mode\n",
+    "#"
    ]
   },
   {
diff --git a/solution.ipynb b/solution.ipynb
index 4238582..56a6908 100644
--- a/solution.ipynb
+++ b/solution.ipynb
@@ -944,7 +944,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "b5539a48",
-   "metadata": {},
+   "metadata": {
+    "lines_to_next_cell": 0
+   },
    "outputs": [],
    "source": [
     "# Check if GPU is available\n",
@@ -970,7 +972,11 @@
     "    ),\n",
     ")\n",
     "# Launch training and check that loss and images are being logged on tensorboard.\n",
-    "trainer.fit(phase2fluor_model, datamodule=phase2fluor_2D_data)"
+    "trainer.fit(phase2fluor_model, datamodule=phase2fluor_2D_data)\n",
+    "\n",
+    "# Move the model to the GPU.\n",
+    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+    "phase2fluor_model.to(device)"
    ]
   },
   {
@@ -1285,7 +1291,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5cb1fcdf",
+   "id": "a1c5193f",
    "metadata": {
     "lines_to_next_cell": 0,
     "tags": [
@@ -1317,6 +1323,7 @@
     "    pretrained_model_ckpt,\n",
     "    architecture=\"UNeXt2_2D\",\n",
     "    model_config = phase2fluor_config,\n",
+    "    accelerator='gpu'\n",
     ")\n",
     "pretrained_phase2fluor.eval()\n",
     "\n",