From 252543fbb8a13a7e1542afdc56716b8546ad93f5 Mon Sep 17 00:00:00 2001
From: Oceania2018 <haiping008@gmail.com>
Date: Wed, 27 Nov 2019 20:45:21 -0600
Subject: [PATCH] Fix import_meta_graph exception if variables is empty.

---
 docs/source/MnistInRnn.md                        | 5 +++++
 src/TensorFlowNET.Core/Framework/meta_graph.cs   | 3 ++-
 src/TensorFlowNET.Core/TensorFlow.Binding.csproj | 3 ++-
 src/TensorFlowNET.Core/Variables/variables.py.cs | 1 -
 4 files changed, 9 insertions(+), 3 deletions(-)
 create mode 100644 docs/source/MnistInRnn.md

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</Description>
 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().</PackageReleaseNotes>
+6: Add array_grad._SplitGrad().
+7: Fix import_meta_graph exception if variables is empty.</PackageReleaseNotes>
     <LangVersion>7.3</LangVersion>
     <FileVersion>0.13.0.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
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<VariableV1> global_variables(string scope = null)
         {
             return ops.get_collection<VariableV1>(tf.GraphKeys.GLOBAL_VARIABLES, scope);
-
         }
 
         /// <summary>