diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h | 18 |
1 files changed, 13 insertions, 5 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h index 8107fa24f3..0afc9d3f38 100644 --- a/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h @@ -24,8 +24,6 @@ #ifndef ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYER_H #define ARM_COMPUTE_CLDIRECTCONVOLUTIONLAYER_H -#include "arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h" -#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" #include "arm_compute/runtime/IFunction.h" @@ -34,7 +32,11 @@ namespace arm_compute { +class CLCompileContext; +class CLDirectConvolutionLayerKernel; +class CLFillBorderKernel; class ICLTensor; +class ITensorInfo; /** Basic function to execute direct convolution function: */ @@ -43,6 +45,12 @@ class CLDirectConvolutionLayer : public IFunction public: /** Default constructor */ CLDirectConvolutionLayer(); + /** Prevent instances of this class from being copied */ + CLDirectConvolutionLayer(const CLDirectConvolutionLayer &) = delete; + /** Prevent instances of this class from being copied */ + CLDirectConvolutionLayer &operator=(const CLDirectConvolutionLayer &) = delete; + /** Default destructor */ + ~CLDirectConvolutionLayer(); /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], @@ -95,9 +103,9 @@ public: void run() override; private: - CLDirectConvolutionLayerKernel _direct_conv_kernel; - CLFillBorderKernel _input_border_handler; - CLActivationLayer _activationlayer_function; + std::unique_ptr<CLDirectConvolutionLayerKernel> _direct_conv_kernel; + std::unique_ptr<CLFillBorderKernel> _input_border_handler; + CLActivationLayer _activationlayer_function; bool _is_activationlayer_enabled; }; |