add oper constant

README.md

@@ -7,17 +7,37 @@ TensorFlow.NET is a member project of SciSharp stack.
 ![tensors_flowing](docs/assets/tensors_flowing.gif)
 
 ### How to use
+Download the pre-compiled dll [here](tensorflowlib) and place it in the bin folder.
+
+```cs
+// import tensorflow.net
+using using Tensorflow;
+```
+
 ```cs
-using TensorFlowNET.Core;
+// Create a Constant op
+var a = tf.constant(4.0f);
+var b = tf.constant(5.0f);
+var c = tf.add(a, b);
 
-namespace TensorFlowNET.Examples
+using (var sess = tf.Session())
 {
-    public class HelloWorld : IExample
-    {
-        public void Run()
-        {
-            var hello = tf.constant("Hello, TensorFlow!");
-        }
-    }
+	var o = sess.run(c);
+}
+```
+
+```cs
+// Create a placeholder op
+var a = tf.placeholder(tf.float32);
+var b = tf.placeholder(tf.float32);
+var c = tf.add(a, b);
+
+using(var sess = tf.Session())
+{
+	var feed_dict = new Dictionary<Tensor, object>();
+	feed_dict.Add(a, 3.0f);
+	feed_dict.Add(b, 2.0f);
+
+	var o = sess.run(c, feed_dict);
 }
 ```

src/TensorFlowNET.Core/BaseSession.cs

@@ -66,16 +66,16 @@ namespace Tensorflow
             var status = new Status();
 
             c_api.TF_SessionRun(_session,
-                run_options: null,
+                run_options: IntPtr.Zero,
                 inputs: new TF_Output[] { },
                 input_values: new IntPtr[] { },
-                ninputs: 1,
+                ninputs: 0,
                 outputs: new TF_Output[] { },
                 output_values: new IntPtr[] { },
                 noutputs: 1,
                 target_opers: new IntPtr[] { },
                 ntargets: 1,
-                run_metadata: null,
+                run_metadata: IntPtr.Zero,
                 status: status.Handle);
 
             return null;

src/TensorFlowNET.Core/c_api.cs

@@ -67,11 +67,11 @@ namespace Tensorflow
         public static extern unsafe void TF_SetAttrTensor(TF_OperationDescription desc, string attr_name, TF_Tensor value, TF_Status status);
 
         [DllImport(TensorFlowLibName)]
-        public static extern unsafe void TF_SessionRun(TF_Session session, TF_Buffer* run_options,
+        public static extern unsafe void TF_SessionRun(TF_Session session, IntPtr run_options,
                    TF_Output[] inputs, TF_Tensor[] input_values, int ninputs, 
                    TF_Output[] outputs, TF_Tensor[] output_values, int noutputs,
                    TF_Operation[] target_opers, int ntargets,
-                   TF_Buffer* run_metadata, 
+                   IntPtr run_metadata, 
                    TF_Status status);
 
         [DllImport(TensorFlowLibName)]

src/TensorFlowNET.Core/ops.cs

@@ -21,9 +21,12 @@ namespace Tensorflow
             var op_desc = c_api.TF_NewOperation(graph.Handle, node_def.Op, node_def.Name);
 
             // Add inputs
-            foreach(var op_input in inputs)
+            if(inputs != null)
             {
-                c_api.TF_AddInput(op_desc, op_input._as_tf_output());
+                foreach (var op_input in inputs)
+                {
+                    c_api.TF_AddInput(op_desc, op_input._as_tf_output());
+                }
             }
 
             var status = new Status();

src/TensorFlowNET.Core/tensor_util.cs

@@ -16,6 +16,15 @@ namespace Tensorflow
 
             switch (values)
             {
+                case float val:
+                    nparray = np.array(new float[] { val }, np.float32);
+                    tensor_proto = new tensor_pb2.TensorProto
+                    {
+                        Dtype = DataType.DtFloat,
+                        TensorShape = tensor_shape.as_shape().as_proto()
+                    };
+                    tensor_proto.FloatVal.Add(val);
+                    break;
                 case double val:
                     nparray = np.array(new double[] { val }, np.float64);
                     tensor_proto = new tensor_pb2.TensorProto
@@ -25,7 +34,6 @@ namespace Tensorflow
                     };
                     tensor_proto.DoubleVal.Add(val);
                     break;
-
                 case string val:
                     nparray = np.array(new string[] { val }, np.chars);
                     tensor_proto = new tensor_pb2.TensorProto

test/TensorFlowNET.UnitTest/OperationsTest.cs

@@ -12,7 +12,13 @@ namespace TensorFlowNET.UnitTest
         [TestMethod]
         public void constant()
         {
-            tf.constant(4.0);
+            var a = tf.constant(4.0f);
+            var b = tf.constant(5.0f);
+            var c = tf.add(a, b);
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c);
+            }
         }
 
         [TestMethod]
@@ -31,10 +37,10 @@ namespace TensorFlowNET.UnitTest
             using(var sess = tf.Session())
             {
                 var feed_dict = new Dictionary<Tensor, object>();
-                feed_dict.Add(a, 3);
-                feed_dict.Add(b, 2);
+                feed_dict.Add(a, 3.0f);
+                feed_dict.Add(b, 2.0f);
 
-                sess.run(c, feed_dict);
+                var o = sess.run(c, feed_dict);
             }
         }
     }