Use Floyd's cifar-10 dataset if present

image-classification/dlnd_image_classification.ipynb

@@ -31,6 +31,13 @@
     "\n",
     "cifar10_dataset_folder_path = 'cifar-10-batches-py'\n",
     "\n",
+    "# Use Floyd's cifar-10 dataset if present\n",
+    "floyd_cifar10_location = '/input/cifar-10/python.tar.gz'\n",
+    "if isfile(floyd_cifar10_location):\n",
+    "    tar_gz_path = floyd_cifar10_location\n",
+    "else:\n",
+    "    tar_gz_path = 'cifar-10-python.tar.gz'\n",
+    "\n",
     "class DLProgress(tqdm):\n",
     "    last_block = 0\n",
     "\n",
@@ -39,15 +46,15 @@
     "        self.update((block_num - self.last_block) * block_size)\n",
     "        self.last_block = block_num\n",
     "\n",
-    "if not isfile('cifar-10-python.tar.gz'):\n",
+    "if not isfile(tar_gz_path):\n",
     "    with DLProgress(unit='B', unit_scale=True, miniters=1, desc='CIFAR-10 Dataset') as pbar:\n",
     "        urlretrieve(\n",
     "            'https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz',\n",
-    "            'cifar-10-python.tar.gz',\n",
+    "            tar_gz_path,\n",
     "            pbar.hook)\n",
     "\n",
     "if not isdir(cifar10_dataset_folder_path):\n",
-    "    with tarfile.open('cifar-10-python.tar.gz') as tar:\n",
+    "    with tarfile.open(tar_gz_path) as tar:\n",
     "        tar.extractall()\n",
     "        tar.close()\n",
     "\n",