Correctly use arch to reference architecture in models_vit. Set weights_only to False for use with PyTorch>=2.6. Automatically select cpu if cuda is not available.

latent_feature.ipynb

@@ -22,18 +22,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "90c3d964",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def prepare_model(chkpt_dir, arch='vit_large_patch16'):\n",
+    "def prepare_model(chkpt_dir, arch='RETFound_mae'):\n",
     "    \n",
     "    # load model\n",
-    "    checkpoint = torch.load(chkpt_dir, map_location='cpu')\n",
+    "    checkpoint = torch.load(chkpt_dir, map_location='cpu', weights_only=False)\n",
     "    \n",
     "    # build model\n",
-    "    if arch=='vit_large_patch16':\n",
+    "    if arch=='RETFound_mae':\n",
     "        model = models.__dict__[arch](\n",
     "            img_size=224,\n",
     "            num_classes=5,\n",
@@ -70,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "9a250363",
    "metadata": {},
    "outputs": [],
@@ -78,7 +78,7 @@
     "def get_feature(data_path,\n",
     "                chkpt_dir,\n",
     "                device,\n",
-    "                arch='vit_large_patch16'):\n",
+    "                arch='RETFound_mae'):\n",
     "     #loading model\n",
     "    model_ = prepare_model(chkpt_dir, arch)\n",
     "    model_.to(device)\n",
@@ -121,7 +121,7 @@
    "source": [
     "chkpt_dir = hf_hub_download(repo_id=\"YukunZhou/RETFound_dinov2_meh\", filename=\"RETFound_dinov2_meh.pth\")\n",
     "data_path = 'DATA_PATH'\n",
-    "device = torch.device('cuda')\n",
+    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
     "arch='dinov2_large'"
    ]
   },