diff --git a/docs/source/MnistInRnn.md b/docs/source/MnistInRnn.md
new file mode 100644
index 00000000..ce8a1390
--- /dev/null
+++ b/docs/source/MnistInRnn.md
@@ -0,0 +1,5 @@
+# Chapter. MNIST In RNN
+
+### Recurrent Neural Networks
+
+Recurrent Neural Networks (RNNs) are popular models that have shown great promise in sequential data classification task. The traditional neural network model cannot make the next prediction input based on the knowledge that has been learned before.
\ No newline at end of file
diff --git a/src/TensorFlowNET.Core/Framework/meta_graph.cs b/src/TensorFlowNET.Core/Framework/meta_graph.cs
index d80e67b4..6182a3a9 100644
--- a/src/TensorFlowNET.Core/Framework/meta_graph.cs
+++ b/src/TensorFlowNET.Core/Framework/meta_graph.cs
@@ -142,7 +142,8 @@ namespace Tensorflow
break;
default:
- throw new NotImplementedException("import_scoped_meta_graph_with_return_elements");
+ Console.WriteLine($"Cannot identify data type for collection {col.Key}. Skipping.");
+ break;
}
}
diff --git a/src/TensorFlowNET.Core/TensorFlow.Binding.csproj b/src/TensorFlowNET.Core/TensorFlow.Binding.csproj
index f374a2fe..3cf5c23c 100644
--- a/src/TensorFlowNET.Core/TensorFlow.Binding.csproj
+++ b/src/TensorFlowNET.Core/TensorFlow.Binding.csproj
@@ -25,7 +25,8 @@ https://tensorflownet.readthedocs.io
3: Add tf.nn.rnn_cell.BasicRNNCell and tf.nn.dynamic_rnn.
4: Add EstimatorSpec.
5: Add rnn.static_rnn.
-6: Add array_grad._SplitGrad().
+6: Add array_grad._SplitGrad().
+7: Fix import_meta_graph exception if variables is empty.
7.3
0.13.0.0
LICENSE
diff --git a/src/TensorFlowNET.Core/Variables/variables.py.cs b/src/TensorFlowNET.Core/Variables/variables.py.cs
index 818b324e..a9f91ff2 100644
--- a/src/TensorFlowNET.Core/Variables/variables.py.cs
+++ b/src/TensorFlowNET.Core/Variables/variables.py.cs
@@ -61,7 +61,6 @@ namespace Tensorflow
public static List global_variables(string scope = null)
{
return ops.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope);
-
}
///