Updated curated environments in sample notebooks (Azure#1958)

* Updated curated environments in sample notebooks

* Fixed continuous retraining notebook

Author: jeff-shepherd

how-to-use-azureml/automated-machine-learning/continuous-retraining/check_data.py

@@ -36,7 +36,10 @@
     last_train_time = datetime.min.replace(tzinfo=pytz.UTC)
 
 train_ds = Dataset.get_by_name(ws, args.ds_name)
-dataset_changed_time = train_ds.data_changed_time
+dataset_changed_time = train_ds.data_changed_time.replace(tzinfo=pytz.UTC)
+
+print("dataset_changed_time=" + str(dataset_changed_time))
+print("last_train_time=" + str(last_train_time))
 
 if not dataset_changed_time > last_train_time:
     print("Cancelling run since there is no new data.")

how-to-use-azureml/deployment/onnx/mnist.py

@@ -94,15 +94,15 @@ def main():
     os.makedirs(output_dir, exist_ok=True)
 
     kwargs = {'num_workers': 1, 'pin_memory': True} if use_cuda else {}
-    # Use Azure Open Datasets for MNIST dataset
+    # MNIST dataset
     datasets.MNIST.resources = [
-        ("https://azureopendatastorage.azurefd.net/mnist/train-images-idx3-ubyte.gz",
+        ("train-images-idx3-ubyte.gz",
          "f68b3c2dcbeaaa9fbdd348bbdeb94873"),
-        ("https://azureopendatastorage.azurefd.net/mnist/train-labels-idx1-ubyte.gz",
+        ("train-labels-idx1-ubyte.gz",
          "d53e105ee54ea40749a09fcbcd1e9432"),
-        ("https://azureopendatastorage.azurefd.net/mnist/t10k-images-idx3-ubyte.gz",
+        ("t10k-images-idx3-ubyte.gz",
          "9fb629c4189551a2d022fa330f9573f3"),
-        ("https://azureopendatastorage.azurefd.net/mnist/t10k-labels-idx1-ubyte.gz",
+        ("t10k-labels-idx1-ubyte.gz",
          "ec29112dd5afa0611ce80d1b7f02629c")
     ]
     train_loader = torch.utils.data.DataLoader(