Suppress CS0219 (Variable is assigned but its value is never used)

src/TensorFlowNET.Core/Eager/EagerRunner.RecordGradient.cs

@@ -43,7 +43,9 @@ namespace Tensorflow.Eager
             if (!should_record) return should_record;
 
             Tensor[] op_outputs;
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             bool op_outputs_tuple_created = false;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
             var unused_output_indices = gradient_exclustions.OpGradientUnusedOutputIndices(op_name);
             if (unused_output_indices != null)
             {
@@ -59,7 +61,9 @@ namespace Tensorflow.Eager
                 op_outputs = results;
 
             Tensor[] op_inputs;
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             bool op_inputs_tuple_created = false;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
             var unused_input_indices = gradient_exclustions.OpGradientUnusedInputIndices(op_name);
             if(unused_input_indices != null)
             {

src/TensorFlowNET.Core/Framework/importer.cs

@@ -83,7 +83,9 @@ namespace Tensorflow
 
             var combined_return_elements = new List<ITensorOrOperation>();
             int outputs_idx = 0;
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             int opers_idx = 0;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
             foreach(var name in requested_return_elements)
             {
                 if (name.Contains(":"))

src/TensorFlowNET.Core/Gradients/gradients_util.cs

@@ -393,7 +393,9 @@ namespace Tensorflow
                 // Aggregate multiple gradients, and convert [] to None.
                 if (out_grad.Count > 0)
                 {
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
                     string used = "";
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
                     if (out_grad.Count < 2)
                     {
                         used = "nop";

src/TensorFlowNET.Core/Keras/Utils/base_layer_utils.cs

@@ -38,8 +38,10 @@ namespace Tensorflow.Keras.Utils
             IInitializer initializer = null,
             bool trainable = true)
         {
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             var initializing_from_value = false;
             bool use_resource = true;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
 
             ops.init_scope();
 

src/TensorFlowNET.Core/Operations/NnOps/_WithSpaceToBatch.cs

@@ -34,7 +34,9 @@ namespace Tensorflow.Operations
             var dilation_rate_tensor = ops.convert_to_tensor(dilation_rate, TF_DataType.TF_INT32, name: "dilation_rate");
             var rate_shape = dilation_rate_tensor.TensorShape;
             var num_spatial_dims = rate_shape.dims[0];
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             int starting_spatial_dim = -1;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
             if (!string.IsNullOrEmpty(data_format) && data_format.StartsWith("NC"))
                 starting_spatial_dim = 2;
             else

src/TensorFlowNET.Core/Operations/gen_control_flow_ops.cs

@@ -152,7 +152,9 @@ namespace Tensorflow
         {
             var _op = tf._op_def_lib._apply_op_helper("Switch", name, new { data, pred });
             var _inputs_flat = _op.inputs;
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             var _attrs = ("T", _op.get_attr("T"));
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
             // TODO: missing original code
             //_execute.record_gradient("Switch", _inputs_flat, _attrs, _result, name);
             return new []{_op.outputs[0], _op.outputs[1]};

src/TensorFlowNET.Core/Training/Optimizer.cs

@@ -374,7 +374,9 @@ namespace Tensorflow
         {
             // Scale loss if using a "mean" loss reduction and multiple replicas.
             loss = _scale_loss(loss);
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             int num_towers = 1;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
 
             if(var_list == null)
             {

src/TensorFlowNET.Core/Training/Trackable.cs

@@ -39,7 +39,9 @@ namespace Tensorflow.Train
             VariableAggregation aggregation = VariableAggregation.None)
         {
             ops.init_scope();
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
             IInitializer checkpoint_initializer = null;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
             if (tf.context.executing_eagerly())
                 ;
             else

test/TensorFlowNET.UnitTest/MultithreadingTests.cs

@@ -167,7 +167,9 @@ namespace TensorFlowNET.UnitTest
             {
                 using (var sess = tf.Session())
                 {
+#pragma warning disable CS0219 // Variable is assigned but its value is never used
                     Tensor t = null;
+#pragma warning restore CS0219 // Variable is assigned but its value is never used
                     for (int i = 0; i < 100; i++)
                     {
                         var v = (int*) Marshal.AllocHGlobal(sizeof(int));