refactor: addition of the mnist download script for use with disconnected env

Author: dimakis

demo-notebooks/guided-demos/download_mnist_datasets.py

@@ -0,0 +1,42 @@
+# Copyright 2022 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+from torchvision.datasets import MNIST
+from torchvision import transforms
+
+def download_mnist_dataset(destination_dir):
+    # Ensure the destination directory exists
+    if not os.path.exists(destination_dir):
+        os.makedirs(destination_dir)
+
+    # Define transformations
+    transform = transforms.Compose([
+        transforms.ToTensor(),
+        transforms.Normalize((0.1307,), (0.3081,))
+    ])
+
+    # Download the training data
+    train_set = MNIST(root=destination_dir, train=True, download=True, transform=transform)
+
+    # Download the test data
+    test_set = MNIST(root=destination_dir, train=False, download=True, transform=transform)
+
+    print(f"MNIST dataset downloaded in {destination_dir}")
+
+# Specify the directory where you
+script_dir = os.path.dirname(os.path.abspath(__file__))
+destination_dir = script_dir + "/mnist_datasets"
+
+download_mnist_dataset(destination_dir)