diff --git a/COPYRIGHT.txt b/COPYRIGHT.txt
index 2aff0cc0d6..abf573a352 100644
--- a/COPYRIGHT.txt
+++ b/COPYRIGHT.txt
@@ -124,6 +124,7 @@ Copyright:
   Copyright 2019, Ziyang Jiang <zij004@alumni.stanford.edu>
   Copyright 2019, Rohit Kartik <rohit.audrey@gmail.com>
   Copyright 2019, Aditya Viki <adityaviki01@gmail.com>
+  Copyright 2019, Kartik Dutt <kartikdutt@live.in>
 
 License: BSD-3-clause
   All rights reserved.
diff --git a/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp b/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp
index ca70ee3a06..903c44e8bd 100644
--- a/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp
+++ b/src/mlpack/methods/ann/layer/transposed_convolution_impl.hpp
@@ -114,7 +114,6 @@ TransposedConvolution<
           aH + kernelHeight - 2 * padHeight)
   {
     Log::Fatal << "The output width / output height is not possible given "
-               << outputWidth << " " << padWidth << " " << aW
                << "the other parameters of the layer." << std::endl;
   }
 }
@@ -449,12 +448,12 @@ void TransposedConvolution<
    * K=Kernel Size
    * P=Padding
    */
-  size_t totalPadWidth = ((strideWidth - 1) * inputWidth + kernelWidth -
-      strideWidth);
-  size_t totalPadHeight = ((strideHeight - 1) * inputHeight + kernelHeight - 
-      strideHeight);
-  padWidth = totalPadWidth / 2 + totalPadWidth & 1;
-  padHeight = totalPadHeight / 2 + totalPadHeight & 1;
+  size_t totalPadWidth = (strideWidth - 1) * inputWidth + kernelWidth - \
+      strideWidth;
+  size_t totalPadHeight = (strideHeight - 1) * inputHeight + kernelHeight - \
+      strideHeight;
+  padWidth = totalPadWidth / 2 + (totalPadWidth & 1);
+  padHeight = totalPadHeight / 2 + (totalPadHeight & 1);
   // If Padding is negative throw a fatal error.
   if (padWidth < 0 || padHeight < 0)
   {
diff --git a/src/mlpack/tests/ann_layer_test.cpp b/src/mlpack/tests/ann_layer_test.cpp
index f48585590c..588d248b18 100644
--- a/src/mlpack/tests/ann_layer_test.cpp
+++ b/src/mlpack/tests/ann_layer_test.cpp
@@ -2972,5 +2972,39 @@ BOOST_AUTO_TEST_CASE(TransposedConvolutionLayerPaddingTest)
   BOOST_REQUIRE_EQUAL(arma::accu(output), 0);
   BOOST_REQUIRE_EQUAL(output.n_rows, input.n_rows);
   BOOST_REQUIRE_EQUAL(output.n_cols, input.n_cols);
+
+  TransposedConvolution<> module4(1, 1, 4, 4, 1, 1, 1, 1, 5, 5, 5, 5, "SAME");
+  // Test the forward function.
+  input = arma::linspace<arma::colvec>(0, 24, 25);
+  module4.Parameters() = arma::mat(16 + 1, 1, arma::fill::zeros);
+  module4.Reset();
+  module4.Forward(std::move(input), std::move(output));
+  // Value calculated using torch.nn.functional.conv_transpose2d()
+  BOOST_REQUIRE_EQUAL(arma::accu(output), 0);
+  BOOST_REQUIRE_EQUAL(output.n_rows, input.n_rows);
+  BOOST_REQUIRE_EQUAL(output.n_cols, input.n_cols);
+
+
+  // Output shape should equal input.
+  TransposedConvolution<> module5(1, 1, 3, 3, 1, 1, 2, 2, 5, 5, 5, 5, "SAME");
+  // Test the forward function.
+  input = arma::linspace<arma::colvec>(0, 24, 25);
+  module5.Parameters() = arma::mat(9 + 1, 1, arma::fill::zeros);
+  module5.Reset();
+  module5.Forward(std::move(input), std::move(output));
+  BOOST_REQUIRE_EQUAL(arma::accu(output), 0);
+  BOOST_REQUIRE_EQUAL(output.n_rows, input.n_rows);
+  BOOST_REQUIRE_EQUAL(output.n_cols, input.n_cols);
+
+  TransposedConvolution<> module6(1, 1, 3, 3, 2, 2, 0, 0, 2, 2, 2, 2, "SAME");
+  // Test the forward function.
+  input = arma::linspace<arma::colvec>(0, 3, 4);
+  module6.Parameters() = arma::mat(25 + 1, 1, arma::fill::zeros);
+  module6.Reset();
+  module6.Forward(std::move(input), std::move(output));
+  // Value calculated using torch.nn.functional.conv_transpose2d()
+  BOOST_REQUIRE_EQUAL(arma::accu(output), 0);
+  BOOST_REQUIRE_EQUAL(output.n_rows, input.n_rows);
+  BOOST_REQUIRE_EQUAL(output.n_cols, input.n_cols);
 }
 BOOST_AUTO_TEST_SUITE_END();