commit 1562be3e8a449360a90af75f6f1481a30d41be75
author Georgios Pinitas <georgios.pinitas@arm.com> Thu Mar 08 19:09:19 2018 +0000
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:49:16 2018 +0000
tree 3180551f4c8595ae5c9630694754f3b1f8b493b1
parent 684cb0f29d23fbe418e5e5347234abf9eccef363

COMPMID-998: Release unused trainable parameters.

Change-Id: I361a520f34080016a25bc86e1e6789777c5152c1
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124432
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h

diff --git a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
index 43e9304..e733fec 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
@@ -101,7 +101,14 @@
 public:
     /** Constructor */
     NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr);
-
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEGEMMConvolutionLayer(const NEGEMMConvolutionLayer &) = delete;
+    /** Default move constructor */
+    NEGEMMConvolutionLayer(NEGEMMConvolutionLayer &&) = default;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEGEMMConvolutionLayer &operator=(const NEGEMMConvolutionLayer &) = delete;
+    /** Default move assignment operator */
+    NEGEMMConvolutionLayer &operator=(NEGEMMConvolutionLayer &&) = default;
     /** Set the input and output tensors.
      *
      * @param[in]  input        Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
@@ -165,6 +172,8 @@
     NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint _gemmlowp_output_stage;
     NECol2ImKernel                                      _output_col2im_kernel;
 
+    const ITensor *_original_weights;
+
     Tensor _input_im2col_reshaped;
     Tensor _input_interleaved_reshaped;
     Tensor _weights_reshaped;