feelsyt
diff --git a/‎src/TensorFlowNET.Core/APIs/tf.array.cs‎
Lines changed: 10 additions & 0 deletions b/‎src/TensorFlowNET.Core/APIs/tf.array.cs‎
Lines changed: 10 additions & 0 deletions
diff --git a/‎src/TensorFlowNET.Core/Operations/array_ops.py.cs‎
Lines changed: 1 addition & 1 deletion b/‎src/TensorFlowNET.Core/Operations/array_ops.py.cs‎
Lines changed: 1 addition & 1 deletion
diff --git a/‎src/TensorFlowNET.Core/TensorFlowNET.Core.csproj‎
Lines changed: 1 addition & 1 deletion b/‎src/TensorFlowNET.Core/TensorFlowNET.Core.csproj‎
Lines changed: 1 addition & 1 deletion
diff --git a/‎test/TensorFlowNET.Examples/ImageProcessing/YOLO/common.cs‎
Lines changed: 5 additions & 2 deletions b/‎test/TensorFlowNET.Examples/ImageProcessing/YOLO/common.cs‎
Lines changed: 5 additions & 2 deletions
diff --git a/‎test/TensorFlowNET.UnitTest/ImageTest.cs‎
Lines changed: 3 additions & 2 deletions b/‎test/TensorFlowNET.UnitTest/ImageTest.cs‎
Lines changed: 3 additions & 2 deletions
@@ -124,5 +124,15 @@ public Tensor pad(Tensor tensor, Tensor paddings, string mode = "CONSTANT", stri
         /// <returns>A `Tensor`. Has the same type as `input`.</returns>
         public Tensor placeholder_with_default<T>(T input, int[] shape, string name = null)
             => gen_array_ops.placeholder_with_default(input, shape, name: name);
+
+        /// <summary>
+        /// Returns the shape of a tensor.
+        /// </summary>
+        /// <param name="input"></param>
+        /// <param name="name"></param>
+        /// <param name="out_type"></param>
+        /// <returns></returns>
+        public Tensor shape(Tensor input, string name = null, TF_DataType out_type = TF_DataType.TF_INT32)
+            => array_ops.shape_internal(input, name, optimize: true, out_type: out_type);
     }
 }
@@ -338,7 +338,7 @@ public static Tensor shape(Tensor input, string name = null, TF_DataType out_typ
         public static Tensor size(Tensor input, string name = null, bool optimize = true, TF_DataType out_type = TF_DataType.TF_INT32)
             => size_internal(input, name, optimize: optimize, out_type: out_type);
 
-        private static Tensor shape_internal(Tensor input, string name = null, bool optimize = true, TF_DataType out_type = TF_DataType.TF_INT32)
+        public static Tensor shape_internal(Tensor input, string name = null, bool optimize = true, TF_DataType out_type = TF_DataType.TF_INT32)
         {
             return tf_with(ops.name_scope(name, "Shape", new { input }), scope =>
             {
 
@@ -26,7 +26,7 @@ Docs: https://tensorflownet.readthedocs.io</Description>
 5. Overload session.run(), make syntax simpler.
 6. Add Local Response Normalization.
 7. Add tf.image related APIs.
-8. Add tf.random_normal, tf.constant, tf.pad.
+8. Add tf.random_normal, tf.constant, tf.pad, tf.shape.
 9. MultiThread is safe.</PackageReleaseNotes>
     <LangVersion>7.3</LangVersion>
     <FileVersion>0.11.2.0</FileVersion>
 
@@ -65,11 +65,14 @@ public static Tensor upsample(Tensor input_data, string name, string method = "d
             Tensor output = null;
             if (method == "resize")
             {
-
+                tf_with(tf.variable_scope(name), delegate
+                {
+                    var input_shape = tf.shape(input_data);
+                });
             }
             else if(method == "deconv")
             {
-
+                throw new NotImplementedException("upsample.deconv");
             }
 
             return output;
 
@@ -14,10 +14,11 @@ namespace TensorFlowNET.UnitTest
     [TestClass]
     public class ImageTest
     {
-        string imgPath = "../../../../../data/shasta-daisy.jpg";
+        string imgPath = "shasta-daisy.jpg";
         Tensor contents;
 
-        public ImageTest()
+        [TestInitialize]
+        public void Initialize()
         {
             imgPath = Path.GetFullPath(imgPath);
             contents = tf.read_file(imgPath);
Original file line number	Diff line number	Diff line change
@@ -338,7 +338,7 @@ public static Tensor shape(Tensor input, string name = null, TF_DataType out_typ
338	338	public static Tensor size(Tensor input, string name = null, bool optimize = true, TF_DataType out_type = TF_DataType.TF_INT32)
339	339	=> size_internal(input, name, optimize: optimize, out_type: out_type);
340	340
341		- private static Tensor shape_internal(Tensor input, string name = null, bool optimize = true, TF_DataType out_type = TF_DataType.TF_INT32)
	341	+ public static Tensor shape_internal(Tensor input, string name = null, bool optimize = true, TF_DataType out_type = TF_DataType.TF_INT32)
342	342	{
343	343	return tf_with(ops.name_scope(name, "Shape", new { input }), scope =>
344	344	{
Original file line number	Diff line number	Diff line change
@@ -65,11 +65,14 @@ public static Tensor upsample(Tensor input_data, string name, string method = "d
65	65	Tensor output = null;
66	66	if (method == "resize")
67	67	{
68		-
	68	+ tf_with(tf.variable_scope(name), delegate
	69	+ {
	70	+ var input_shape = tf.shape(input_data);
	71	+ });
69	72	}
70	73	else if(method == "deconv")
71	74	{
72		-
	75	+ throw new NotImplementedException("upsample.deconv");
73	76	}
74	77
75	78	return output;
Original file line number	Diff line number	Diff line change
@@ -14,10 +14,11 @@ namespace TensorFlowNET.UnitTest
14	14	[TestClass]
15	15	public class ImageTest
16	16	{
17		- string imgPath = "../../../../../data/shasta-daisy.jpg";
	17	+ string imgPath = "shasta-daisy.jpg";
18	18	Tensor contents;
19	19
20		- public ImageTest()
	20	+ [TestInitialize]
	21	+ public void Initialize()
21	22	{
22	23	imgPath = Path.GetFullPath(imgPath);
23	24	contents = tf.read_file(imgPath);