COMPMID-1419: Make NEGEMMAssemblyDispatch dynamically typed instead of templated

This makes it easier to integrate in GEMMLowpMatrixMultiplyCore

Change-Id: Ibf80803f016a2e6a24d943ffafb50b48f04ec545
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/140868
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 2 insertions, 2 deletions

diff --git a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h
index 384fbf893b..5da63311e0 100644
--- a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h
@@ -43,7 +43,7 @@ class ITensor;
  * -# @ref NEWinogradLayerTransformWeightsKernel (executed only once in the first call to the run() method )
  * -# @ref NEWinogradLayerTransformInputKernel
  * -# @ref NEWinogradLayerTransformOutputKernel
- * -# @ref NEGEMMAssemblyDispatchF32
+ * -# @ref NEGEMMAssemblyDispatch
  * -# @ref CPPPermute (three times: weights, input and output)
  *
  * @note  Some Winograd configurations (i.e. F(2x2, 5x5), F(4x4, 5x5)) are supported only with enable_fast_math = true
@@ -103,7 +103,7 @@ public:
 
 private:
     MemoryGroup                _memory_group;
-    NEGEMMAssemblyDispatchF32  _asm_glue;
+    NEGEMMAssemblyDispatch     _asm_glue;
     std::unique_ptr<INEKernel> _transform_input_kernel;
     std::unique_ptr<INEKernel> _transform_output_kernel;
     std::unique_ptr<INEKernel> _transform_weights_kernel;