MSavameri
diff --git a/‎src/TensorFlowNET.Core/NumPy/Implementation/RandomizedImpl.cs‎
Lines changed: 4 additions & 0 deletions b/‎src/TensorFlowNET.Core/NumPy/Implementation/RandomizedImpl.cs‎
Lines changed: 4 additions & 0 deletions
diff --git a/‎src/TensorFlowNET.Core/NumPy/Numpy.Math.cs‎
Lines changed: 3 additions & 0 deletions b/‎src/TensorFlowNET.Core/NumPy/Numpy.Math.cs‎
Lines changed: 3 additions & 0 deletions
@@ -43,5 +43,9 @@ public NDArray randn(params int[] shape)
         [AutoNumPy]
         public NDArray normal(float loc = 0.0f, float scale = 1.0f, Shape size = null)
             => new NDArray(random_ops.random_normal(size ?? Shape.Scalar, mean: loc, stddev: scale));
+
+        [AutoNumPy]
+        public NDArray uniform(float low = 0.0f, float high = 1.0f, Shape size = null)
+            => new NDArray(random_ops.random_uniform(size ?? Shape.Scalar, low, high));
     }
 }
@@ -52,5 +52,8 @@ public static NDArray prod<T>(params T[] array) where T : unmanaged
 
         [AutoNumPy]
         public static NDArray sum(NDArray x1, Axis? axis = null) => new NDArray(tf.math.sum(x1, axis));
+
+        [AutoNumPy]
+        public static NDArray add(NDArray x, NDArray y) => new NDArray(math_ops.add(x, y));
     }
 }
Original file line number	Diff line number	Diff line change
@@ -43,5 +43,9 @@ public NDArray randn(params int[] shape)
43	43	[AutoNumPy]
44	44	public NDArray normal(float loc = 0.0f, float scale = 1.0f, Shape size = null)
45	45	=> new NDArray(random_ops.random_normal(size ?? Shape.Scalar, mean: loc, stddev: scale));
	46	+
	47	+ [AutoNumPy]
	48	+ public NDArray uniform(float low = 0.0f, float high = 1.0f, Shape size = null)
	49	+ => new NDArray(random_ops.random_uniform(size ?? Shape.Scalar, low, high));
46	50	}
47	51	}
Original file line number	Diff line number	Diff line change
@@ -52,5 +52,8 @@ public static NDArray prod<T>(params T[] array) where T : unmanaged
52	52
53	53	[AutoNumPy]
54	54	public static NDArray sum(NDArray x1, Axis? axis = null) => new NDArray(tf.math.sum(x1, axis));
	55	+
	56	+ [AutoNumPy]
	57	+ public static NDArray add(NDArray x, NDArray y) => new NDArray(math_ops.add(x, y));
55	58	}
56	59	}