Update convolution operator parameters to have default values (#287)

Author: Shashi456

Sources/TensorFlow/Operators/NN.swift

@@ -121,8 +121,8 @@ public extension Padding {
 public func conv2D<Scalar: TensorFlowFloatingPoint>(
     _ input: Tensor<Scalar>,
     filter: Tensor<Scalar>,
-    strides: (Int, Int, Int, Int),
-    padding: Padding,
+    strides: (Int, Int, Int, Int) = (1, 1, 1, 1),
+    padding: Padding = .valid,
     dilations: (Int, Int, Int, Int) = (1, 1, 1, 1)
 ) -> Tensor<Scalar> {
     return Raw.conv2D(
@@ -159,8 +159,8 @@ func conv2DBackpropInput<Scalar: TensorFlowFloatingPoint>(
     _ x: Tensor<Scalar>,
     shape: Tensor<Int32>,
     filter: Tensor<Scalar>,
-    strides: (Int, Int, Int, Int),
-    padding: Padding,
+    strides: (Int, Int, Int, Int) = (1, 1, 1, 1),
+    padding: Padding = .valid,
     dilations: (Int, Int, Int, Int) = (1, 1, 1, 1)
 ) -> Tensor<Scalar> {
     return Raw.conv2DBackpropInput(
@@ -198,8 +198,8 @@ func conv2DBackpropFilter<Scalar: TensorFlowFloatingPoint>(
     _ x: Tensor<Scalar>,
     input: Tensor<Scalar>,
     filterSizes: Tensor<Int32>,
-    strides: (Int, Int, Int, Int),
-    padding: Padding,
+    strides: (Int, Int, Int, Int) = (1, 1, 1, 1),
+    padding: Padding = .valid,
     dilations: (Int, Int, Int, Int) = (1, 1, 1, 1)
 ) -> Tensor<Scalar> {
     return Raw.conv2DBackpropFilter(
@@ -243,8 +243,8 @@ func _vjpConv2DBackpropFilter<Scalar: TensorFlowFloatingPoint>(
 public func conv3D<Scalar: TensorFlowFloatingPoint>(
     _ input: Tensor<Scalar>,
     filter: Tensor<Scalar>,
-    strides: (Int, Int, Int, Int, Int),
-    padding: Padding
+    strides: (Int, Int, Int, Int, Int) = (1, 1, 1, 1, 1),
+    padding: Padding = .valid
 ) -> Tensor<Scalar> {
     return Raw.conv3D(
         input,
@@ -280,8 +280,8 @@ func conv3DBackpropInput<Scalar: TensorFlowFloatingPoint>(
     _ x: Tensor<Scalar>,
     shape: Tensor<Int32>,
     filter: Tensor<Scalar>,
-    strides: (Int, Int, Int, Int, Int),
-    padding: Padding
+    strides: (Int, Int, Int, Int, Int) = (1, 1, 1, 1, 1),
+    padding: Padding = .valid
 ) -> Tensor<Scalar> {
     return Raw.conv3DBackpropInputV2(
         inputSizes: shape,
@@ -318,8 +318,8 @@ func conv3DBackpropFilter<Scalar: TensorFlowFloatingPoint>(
     _ x: Tensor<Scalar>,
     input: Tensor<Scalar>,
     filterSizes: Tensor<Int32>,
-    strides: (Int, Int, Int, Int, Int),
-    padding: Padding
+    strides: (Int, Int, Int, Int, Int) = (1, 1, 1, 1, 1),
+    padding: Padding = .valid
 ) -> Tensor<Scalar> {
     return Raw.conv3DBackpropFilterV2(
         x,