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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h7
1 files changed, 5 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
index 08099b8539..463a7d53e3 100644
--- a/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h
@@ -32,6 +32,7 @@
#include "arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
#include "arm_compute/core/NEON/kernels/NEIm2ColKernel.h"
#include "arm_compute/core/NEON/kernels/NETransposeKernel.h"
+#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
@@ -47,7 +48,7 @@ class NEFullyConnectedLayerReshapeWeights : public IFunction
{
public:
/** Constructor */
- NEFullyConnectedLayerReshapeWeights();
+ NEFullyConnectedLayerReshapeWeights(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
* @param[in] input Weights tensor. The weights must be 2 dimensional. Data types supported: QS8/QS16/F32.
@@ -61,6 +62,7 @@ public:
void run() override;
private:
+ MemoryGroup _memory_group;
NETransposeKernel _transpose_kernel;
NEGEMMTranspose1xWKernel _transpose1xW_kernel;
Tensor _transpose_output;
@@ -81,7 +83,7 @@ class NEFullyConnectedLayer : public IFunction
{
public:
/** Constructor */
- NEFullyConnectedLayer();
+ NEFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data type supported: QS8/QS16/F32.
@@ -97,6 +99,7 @@ public:
void run() override;
private:
+ MemoryGroup _memory_group;
NEIm2ColKernel _im2col_kernel;
NEFullyConnectedLayerReshapeWeights _reshape_weights_kernel;
NEGEMMInterleave4x4Kernel _interleave4x4_kernel;