def deconv(self, x, num_out_layers, kernel_size, scale):
p_x = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]])
conv = slim.conv2d_transpose(p_x, num_out_layers, kernel_size, scale, 'SAME')
return conv[:,3:-1,3:-1,:]
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