Made some more compatibility fixes to support the latest raw ops.

Sources/DeepLearning/Operators.swift

@@ -104,9 +104,6 @@ public extension Tensor where Scalar: BinaryFloatingPoint {
 /// A padding scheme. Used by padding, convolution, and pooling ops.
 // @_frozen // SR-9739
 public enum Padding {
-    /// The "explicit" padding scheme, which is defined by an array indicating the explicit padding 
-    /// sizes at the start and end of each dimension.
-    case explicit([Int32])
     /// The "valid" padding scheme.
     case valid
     /// The "same" padding scheme.
@@ -115,20 +112,18 @@ public enum Padding {
 
 public extension Padding {
     @inlinable
-    var raw: Raw.Padding2 {
+    internal var raw: Raw.Padding {
         switch self {
-        case .explicit: return .explicit
         case .same: return .same
         case .valid: return .valid
         }
     }
 
     @inlinable
-    internal var explicitPaddings: [Int32] {
+    internal var raw2: Raw.Padding2 {
         switch self {
-        case .explicit(let paddings): return paddings
-        case .same: return []
-        case .valid: return []
+        case .same: return .same
+        case .valid: return .valid
         }
     }
 }
@@ -148,8 +143,8 @@ public extension Tensor where Scalar: TensorFlowFloatingPoint {
             filter: filter,
             outBackprop: self,
             strides: [strides.0, strides.1, strides.2, strides.3],
-            padding: padding.raw,
-            explicitPaddings: padding.explicitPaddings)
+            padding: padding.raw2,
+            explicitPaddings: [])
     }
 
     /// TensorFlow builtin conv2d gradient helper for the filter.
@@ -166,8 +161,8 @@ public extension Tensor where Scalar: TensorFlowFloatingPoint {
             filterSizes: filterSizes,
             outBackprop: self,
             strides: [strides.0, strides.1, strides.2, strides.3],
-            padding: padding.raw,
-            explicitPaddings: padding.explicitPaddings)
+            padding: padding.raw2,
+            explicitPaddings: [])
     }
 
     @inlinable
@@ -297,8 +292,8 @@ public extension Tensor where Scalar: FloatingPoint {
             self,
             filter: filter,
             strides: [strides.0, strides.1, strides.2, strides.3],
-            padding: padding.raw,
-            explicitPaddings: padding.explicitPaddings)
+            padding: padding.raw2,
+            explicitPaddings: [])
     }
 
     /// Computes a 2-D max pooling, with the specified kernel sizes, strides, and