From 1b238ff1076edf5004e18a28560497647ea7bdb5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cosmin=20=C8=98tefan=20Ciocan?=
 <57830279+cosminc98@users.noreply.github.com>
Date: Sun, 2 Jun 2024 09:13:56 +0000
Subject: [PATCH] Create separate files for blur kernel and the error handling
 macro to make the main function more readable

---
 .../compiling-with-external-libraries.ipynb   | 64 +++++++++++++------
 1 file changed, 43 insertions(+), 21 deletions(-)

diff --git a/notebooks/compiling-with-external-libraries.ipynb b/notebooks/compiling-with-external-libraries.ipynb
index 635a8f2..a1295d0 100644
--- a/notebooks/compiling-with-external-libraries.ipynb
+++ b/notebooks/compiling-with-external-libraries.ipynb
@@ -187,26 +187,10 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "hhkNS3HJlFlC",
-    "outputId": "bb0b3fad-f132-4a26-e247-32bf5e29c1a4"
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%%cuda --compiler-args \"$COMPILER_ARGS\"\n",
-    "\n",
-    "#include <opencv2/core.hpp>\n",
-    "#include <opencv2/imgcodecs.hpp>\n",
-    "\n",
-    "#include <iostream>\n",
-    "\n",
-    "#define BLUR_SIZE 5\n",
-    "#define R 0\n",
-    "#define G 1\n",
-    "#define B 2\n",
+    "%%cuda_group_save -n \"error_handling.h\" -g \"shared\"\n",
     "\n",
     "// error checking macro\n",
     "#define cudaCheckErrors(msg) \\\n",
@@ -219,7 +203,18 @@
     "            fprintf(stderr, \"*** FAILED - ABORTING\\n\"); \\\n",
     "            exit(1); \\\n",
     "        } \\\n",
-    "    } while (0)\n",
+    "    } while (0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%cuda_group_save -n \"blur_kernel.h\" -g \"shared\"\n",
+    "\n",
+    "#define BLUR_SIZE 5\n",
     "\n",
     "// kernel taken from https://stackoverflow.com/a/65973288\n",
     "__global__ void blurKernel(\n",
@@ -249,7 +244,34 @@
     "        }\n",
     "        out[row * width * num_channel + col * num_channel + channel] = (unsigned char)(pixVal/pixels);\n",
     "    }\n",
-    "}\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "hhkNS3HJlFlC",
+    "outputId": "bb0b3fad-f132-4a26-e247-32bf5e29c1a4"
+   },
+   "outputs": [],
+   "source": [
+    "%%cuda --compiler-args \"$COMPILER_ARGS\"\n",
+    "\n",
+    "#include <iostream>\n",
+    "\n",
+    "#include <opencv2/core.hpp>\n",
+    "#include <opencv2/imgcodecs.hpp>\n",
+    "\n",
+    "#include \"error_handling.h\"\n",
+    "#include \"blur_kernel.h\"\n",
+    "\n",
+    "#define R 0\n",
+    "#define G 1\n",
+    "#define B 2\n",
     "\n",
     "int main()\n",
     "{\n",
@@ -354,7 +376,7 @@
   "kaggle": {
    "accelerator": "nvidiaTeslaT4",
    "dataSources": [],
-   "dockerImageVersionId": 30699,
+   "dockerImageVersionId": 30716,
    "isGpuEnabled": true,
    "isInternetEnabled": true,
    "language": "python",