From 41d4e84b75fa7ab06c047943948d12d52e163df8 Mon Sep 17 00:00:00 2001
From: Oceania2018 <haiping008@gmail.com>
Date: Thu, 4 Apr 2019 21:01:29 -0500
Subject: [PATCH] tf.sin, tf.sinh, tf.sum, tf.tan, tf.tanh

---
 src/TensorFlowNET.Core/APIs/tf.math.cs        | 27 ++++++++++++++++++
 .../Operations/gen_math_ops.cs                | 28 +++++++++++++++++++
 2 files changed, 55 insertions(+)

diff --git a/src/TensorFlowNET.Core/APIs/tf.math.cs b/src/TensorFlowNET.Core/APIs/tf.math.cs
index 6ee90749..bbf240e3 100644
--- a/src/TensorFlowNET.Core/APIs/tf.math.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.math.cs
@@ -54,6 +54,24 @@ namespace Tensorflow
         public static Tensor ceil(Tensor x, string name = null)
             => gen_math_ops.ceil(x, name);
 
+        /// <summary>
+        /// Computes sin of x element-wise.
+        /// </summary>
+        /// <param name="x"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor sin(Tensor x, string name = null)
+            => gen_math_ops.sin(x, name);
+
+        /// <summary>
+        /// Computes hyperbolic sine of x element-wise.
+        /// </summary>
+        /// <param name="x"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor sinh(Tensor x, string name = null)
+            => gen_math_ops.sinh(x, name);
+
         /// <summary>
         /// Computes cos of x element-wise.
         /// </summary>
@@ -72,6 +90,12 @@ namespace Tensorflow
         public static Tensor cosh(Tensor x, string name = null)
             => gen_math_ops.cosh(x, name);
 
+        public static Tensor tan(Tensor x, string name = null)
+            => gen_math_ops.tan(x, name);
+
+        public static Tensor tanh(Tensor x, string name = null)
+            => gen_math_ops.tanh(x, name);
+
         /// <summary>
         /// Returns element-wise largest integer not greater than x.
         /// </summary>
@@ -257,6 +281,9 @@ namespace Tensorflow
             return math_ops.reduce_sum(input, axis);
         }
 
+        public static Tensor sum(Tensor input, int axis, bool keep_dims = false, string name = null)
+            => gen_math_ops._sum(input, axis, keep_dims: keep_dims, name: name);
+
         public static Tensor reduce_mean(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null, int? reduction_indices = null)
             => math_ops.reduce_mean(input_tensor, axis: axis, keepdims: keepdims, name: name, reduction_indices: reduction_indices);
 
diff --git a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
index 25ae46ed..c562586a 100644
--- a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
@@ -101,6 +101,20 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor sin(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Sin", name, args: new { x });
+
+            return _op.outputs[0];
+        }
+
+        public static Tensor sinh(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Sinh", name, args: new { x });
+
+            return _op.outputs[0];
+        }
+
         public static Tensor cos(Tensor x, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("Cos", name, args: new { x });
@@ -115,6 +129,20 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor tan(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Tan", name, args: new { x });
+
+            return _op.outputs[0];
+        }
+
+        public static Tensor tanh(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Tanh", 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 });