diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEConvolutionLayer.h | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h index 1bd7e6a95f..8e040b3055 100644 --- a/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEConvolutionLayer.h @@ -34,6 +34,7 @@ #include "arm_compute/core/NEON/kernels/NEIm2ColKernel.h" #include "arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h" #include "arm_compute/core/Types.h" +#include "arm_compute/runtime/MemoryGroup.h" #include "arm_compute/runtime/Tensor.h" namespace arm_compute @@ -48,7 +49,7 @@ class NEConvolutionLayerReshapeWeights : public IFunction { public: /** Constructor */ - NEConvolutionLayerReshapeWeights(); + NEConvolutionLayerReshapeWeights(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input and output tensors. * * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: QS8/QS16/F32. @@ -62,6 +63,7 @@ public: void run() override; private: + MemoryGroup _memory_group; NEWeightsReshapeKernel _weights_reshape_kernel; NEGEMMTranspose1xWKernel _weights_transposed_kernel; Tensor _weights_reshaped; @@ -79,7 +81,7 @@ class NEConvolutionLayer : public IFunction { public: /** Constructor */ - NEConvolutionLayer(); + NEConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], @@ -98,6 +100,7 @@ public: void run() override; private: + MemoryGroup _memory_group; NEIm2ColKernel _input_im2col_kernel; NEGEMMInterleave4x4Kernel _input_interleave_kernel; NEConvolutionLayerReshapeWeights _reshape_weights; |