Upgrade NumSharp.Lite to v0.1.10.

Oceania2018 · Oceania2018 · commit a30df75aa9a4 · 2021-01-03T22:28:17.000-06:00
diff --git a/src/TensorFlowNET.Core/Graphs/SubGraphUtility.cs b/src/TensorFlowNET.Core/Graphs/SubGraphUtility.cs
@@ -95,6 +95,8 @@ public static Dictionary<ITensorOrOperation, Operation> lift_to_graph(Tensors in
                 _copy_non_source(op, graph, op_map, base_graph);
             }
 
+            tf.Context.restore_mode();
+
             return op_map;
         }
 
diff --git a/src/TensorFlowNET.Core/Tensorflow.Binding.csproj b/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
@@ -83,7 +83,7 @@ TensorFlow .NET v0.30 is focused on making more Keras API work including:
 
   <ItemGroup>
     <PackageReference Include="MethodBoundaryAspect.Fody" Version="2.0.138" />
-    <PackageReference Include="NumSharp.Lite" Version="0.1.9" />
+    <PackageReference Include="NumSharp.Lite" Version="0.1.10" />
     <PackageReference Include="Protobuf.Text" Version="0.4.0" />
     <PackageReference Include="Serilog.Sinks.Console" Version="3.1.1" />
   </ItemGroup>
diff --git a/src/TensorFlowNET.Keras/BackendImpl.cs b/src/TensorFlowNET.Keras/BackendImpl.cs
@@ -207,6 +207,7 @@ public NDArray eval_in_eager_or_function(Tensors outputs)
             var graph_fn = new ConcreteFunction(exec_graph);
 
             _CURRENT_SCRATCH_GRAPH = null;
+            tf.Context.restore_mode();
             // return outputs.eval();
             throw new NotImplementedException("");
         }

Original file line number	Diff line number	Diff line change
`@@ -95,6 +95,8 @@ public static Dictionary<ITensorOrOperation, Operation> lift_to_graph(Tensors in`
`95`	`95`	`_copy_non_source(op, graph, op_map, base_graph);`
`96`	`96`	`}`
`97`	`97`
	`98`	`+ tf.Context.restore_mode();`
	`99`	`+`
`98`	`100`	`return op_map;`
`99`	`101`	`}`
`100`	`102`
Original file line number	Diff line number	Diff line change
`@@ -207,6 +207,7 @@ public NDArray eval_in_eager_or_function(Tensors outputs)`
`207`	`207`	`var graph_fn = new ConcreteFunction(exec_graph);`
`208`	`208`
`209`	`209`	`_CURRENT_SCRATCH_GRAPH = null;`
	`210`	`+ tf.Context.restore_mode();`
`210`	`211`	`// return outputs.eval();`
`211`	`212`	`throw new NotImplementedException("");`
`212`	`213`	`}`