tf.cosh, tf.floor, tf.greater, tf.greater_equal

src/TensorFlowNET.Core/APIs/tf.math.cs

@@ -63,6 +63,48 @@ namespace Tensorflow
         public static Tensor cos(Tensor x, string name = null)
             => gen_math_ops.cos(x, name);
 
+        /// <summary>
+        /// Computes hyperbolic cosine of x element-wise.
+        /// </summary>
+        /// <param name="x"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor cosh(Tensor x, string name = null)
+            => gen_math_ops.cosh(x, name);
+
+        /// <summary>
+        /// Returns element-wise largest integer not greater than x.
+        /// </summary>
+        /// <param name="x"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor floor(Tensor x, string name = null)
+            => gen_math_ops.floor(x, name);
+
+        /// <summary>
+        /// Returns the truth value of (x > y) element-wise.
+        /// </summary>
+        /// <typeparam name="Tx"></typeparam>
+        /// <typeparam name="Ty"></typeparam>
+        /// <param name="x"></param>
+        /// <param name="y"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor greater<Tx, Ty>(Tx x, Ty y, string name = null)
+            => gen_math_ops.greater(x, y, name);
+
+        /// <summary>
+        /// Returns the truth value of (x >= y) element-wise.
+        /// </summary>
+        /// <typeparam name="Tx"></typeparam>
+        /// <typeparam name="Ty"></typeparam>
+        /// <param name="x"></param>
+        /// <param name="y"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor greater_equal<Tx, Ty>(Tx x, Ty y, string name = null)
+            => gen_math_ops.greater_equal(x, y, name);
+
         /// <summary>
         /// Clips tensor values to a specified min and max.
         /// </summary>

src/TensorFlowNET.Core/Operations/gen_array_ops.cs

@@ -26,13 +26,6 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
-        public static Tensor greater<Tx, Ty>(Tx x, Ty y, string name = null)
-        {
-            var _op = _op_def_lib._apply_op_helper("Greater", name: name, args: new { x, y });
-
-            return _op.outputs[0];
-        }
-
         public static Tensor less<Tx, Ty>(Tx x, Ty y, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("Less", name: name, args: new { x, y });

src/TensorFlowNET.Core/Operations/gen_math_ops.cs

@@ -100,6 +100,20 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor cosh(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Cosh", name, args: new { x });
+
+            return _op.outputs[0];
+        }
+
+        public static Tensor floor(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Floor", name, args: new { x });
+
+            return _op.outputs[0];
+        }
+
         public static Tensor _clip_by_value(Tensor t, Tensor clip_value_min, Tensor clip_value_max, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("ClipByValue", name, args: new { t, clip_value_min, clip_value_max });
@@ -107,6 +121,20 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor greater<Tx, Ty>(Tx x, Ty y, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Greater", name: name, args: new { x, y });
+
+            return _op.outputs[0];
+        }
+
+        public static Tensor greater_equal<Tx, Ty>(Tx x, Ty y, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("GreaterEqual", name: name, args: new { x, y });
+
+            return _op.outputs[0];
+        }
+
         public static Tensor squared_difference(Tensor x, Tensor y, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("SquaredDifference", name, args: new { x, y, name });