src/test/scripts/applications/nn/component/conv2d_transpose.dml

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source("scripts/nn/layers/conv2d_transpose.dml") as conv2d_transpose
source("src/test/scripts/applications/nn/util.dml") as test_util

conv2d_transpose = function() {
  /*
   * Test for the 2D transpose convolution function.
   */
  print("Testing the 2D transpose convolution function.")

  # Generate data
  N = 2  # num examples
  C = 3  # num channels
  Hin = 2  # input height
  Win = 2  # input width
  F = 2  # num filters
  Hf = 3  # filter height
  Wf = 3  # filter width
  stride = 1
  pad = 0
  out_pad = 0  # padding added to output
  X = matrix(seq(1,N*C*Hin*Win), rows=N, cols=C*Hin*Win) / (N*C*Hin*Win) * 2 - 1  # normalized

  # Create layer
  W = matrix(seq(1,C*F*Hf*Wf), rows=C, cols=F*Hf*Wf) / (C*F*Hf*Wf) * 2 - 1  # normalized
  b = matrix(seq(1,F), rows=F, cols=1) / F^2  # non-zero & non-one

  # Forward
  [out, Hout, Wout] = conv2d_transpose::forward(X, W, b, C, Hin, Win, Hf, Wf, stride, stride,
                                                pad, pad, out_pad, out_pad)

  # Equivalency check
  target = matrix("1.21296299  2.03703713  1.91666663  1.02777779
                   1.83333337  3.18518519  2.98148131  1.52777767
                   1.5         2.57407403  2.37037039  1.24999988
                   0.78703707  1.25925922  1.17592585  0.69444442

                   0.87962961  1.20370364  1.08333337  0.77777773
                   1.08333337  1.60185182  1.39814818  0.94444442
                   0.75        0.99074072  0.78703701  0.66666657
                   0.62037039  0.75925928  0.67592591  0.6111111


                   0.32407406  0.37037039  0.47222221  0.36111113
                   0.38888881  0.51851851  0.75925928  0.52777779
                   0.72222215  1.24074078  1.48148155  0.91666669
                   0.56481475  0.92592585  1.06481469  0.69444442

                   0.99074078  1.53703713  1.63888896  1.11111116
                   1.63888884  2.93518519  3.17592597  1.94444442
                   1.97222221  3.65740728  3.89814806  2.33333325
                   1.39814818  2.42592597  2.56481481  1.61111116", rows=N, cols=F*Hout*Wout)

  for (i in 1:nrow(out)) {
    for(j in 1:ncol(out)) {
      rel_error = test_util::check_rel_error(as.scalar(out[i,j]),
                                             as.scalar(target[i,j]), 1e-3, 1e-4)
    }
  }
}

conv2d_transpose()