[mlpack-git] master: Remove unused function; we only need to support 3rd-order tensors. (4618086)

[gitdub at big.cc.gt.atl.ga.us]

Repository : https://github.com/mlpack/mlpack

On branch  : master
Link       : https://github.com/mlpack/mlpack/compare/91ae1062772a0f2bbca9a072769629c2d775ae64...42d61dfdbc9b0cbce59398e67ea58544b0fa1919

>---------------------------------------------------------------

commit 461808614243e4dd0accb4184bd7a81d4adb8a08
Author: Marcus Edel <marcus.edel at fu-berlin.de>
Date:   Thu Sep 3 14:23:50 2015 +0200

    Remove unused function; we only need to support 3rd-order tensors.


>---------------------------------------------------------------

461808614243e4dd0accb4184bd7a81d4adb8a08
 src/mlpack/methods/ann/layer/pooling_layer.hpp | 17 -----------------
 1 file changed, 17 deletions(-)

diff --git a/src/mlpack/methods/ann/layer/pooling_layer.hpp b/src/mlpack/methods/ann/layer/pooling_layer.hpp
index 7a85a83..a801c78 100644
--- a/src/mlpack/methods/ann/layer/pooling_layer.hpp
+++ b/src/mlpack/methods/ann/layer/pooling_layer.hpp
@@ -75,23 +75,6 @@ class PoolingLayer
       Pooling(input.slice(s), output.slice(s));
   }
 
-  /*
-   * Ordinary feed backward pass of a neural network, calculating the function
-   * f(x) by propagating x backwards through f. Using the results from the feed
-   * forward pass.
-   *
-   * @param input The propagated input activation.
-   * @param gy The backpropagated error.
-   * @param g The calculated gradient.
-   */
-  template<typename eT>
-  void Backward(const arma::Mat<eT>& input,
-                const arma::Mat<eT>& gy,
-                arma::Mat<eT>& g)
-  {
-    Unpooling(input, gy, g);
-  }
-
   /**
    * Ordinary feed backward pass of a neural network, using 3rd-order tensors as
    * input, calculating the function f(x) by propagating x backwards through f.