fix Shape.Equals

src/TensorFlowNET.Core/NumPy/ShapeHelper.cs

@@ -100,6 +100,10 @@ namespace Tensorflow.NumPy
                     if (shape.ndim != shape2.Length)
                         return false;
                     return Enumerable.SequenceEqual(shape.dims, shape2);
+                case int[] shape3:
+                    if (shape.ndim != shape3.Length)
+                        return false;
+                      return Enumerable.SequenceEqual(shape.as_int_list(), shape3);
                 default:
                     return false;
             }

src/TensorFlowNET.Keras/BackendImpl.cs

@@ -347,19 +347,21 @@ namespace Tensorflow.Keras
                      string data_format = null,
                      Shape dilation_rate = null)
         {
+            /*
             var force_transpose = false;
             if (data_format == "channels_first" && !dilation_rate.Equals(new[] { 1, 1 }))
                 force_transpose = true;
-            // x, tf_data_format = _preprocess_conv2d_input(x, data_format, force_transpose)
+            x, tf_data_format = _preprocess_conv2d_input(x, data_format, force_transpose)
+            */
             var tf_data_format = "NHWC";
             padding = padding.ToUpper();
             strides = new Shape(1, strides[0], strides[1], 1);
-            if (dilation_rate.Equals(new long[] { 1, 1 }))
+            if (dilation_rate.Equals(new[] { 1, 1 }))
                 x = nn_impl.conv2d_transpose(x, kernel, output_shape, strides,
                     padding: padding,
                     data_format: tf_data_format);
             else
-                throw new NotImplementedException("");
+                throw new NotImplementedException("dilation_rate other than [1,1] is not yet supported");
 
             return x;
         }