diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NERNNLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NERNNLayer.h | 25 |
1 files changed, 13 insertions, 12 deletions
diff --git a/arm_compute/runtime/NEON/functions/NERNNLayer.h b/arm_compute/runtime/NEON/functions/NERNNLayer.h index 12e3ef9c57..74fdc59af6 100644 --- a/arm_compute/runtime/NEON/functions/NERNNLayer.h +++ b/arm_compute/runtime/NEON/functions/NERNNLayer.h @@ -24,8 +24,6 @@ #ifndef ARM_COMPUTE_NERNNLAYER_H #define ARM_COMPUTE_NERNNLAYER_H -#include "arm_compute/core/NEON/kernels/NECopyKernel.h" - #include "arm_compute/core/Types.h" #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" #include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h" @@ -36,6 +34,7 @@ namespace arm_compute { // Forward declarations class ITensor; +class NECopyKernel; /** Basic function to run @ref NERNNLayer */ class NERNNLayer : public IFunction @@ -51,6 +50,8 @@ public: NERNNLayer &operator=(const NERNNLayer &) = delete; /** Default move assignment operator */ NERNNLayer &operator=(NERNNLayer &&) = default; + /** Default destructor */ + ~NERNNLayer(); /** Initialize the function * * @param[in] input Input is a 2-D tensor of shape [input_size, batch_size]. Data types supported: F16/F32 @@ -82,16 +83,16 @@ public: void prepare() override; private: - MemoryGroup _memory_group; - NEGEMM _gemm_state_f; - NEArithmeticAddition _add_f; - NEActivationLayer _activation; - NEFullyConnectedLayer _fully_connected; - NECopyKernel _copy_kernel; - Tensor _fully_connected_out; - Tensor _gemm_output; - Tensor _add_output; - bool _is_prepared; + MemoryGroup _memory_group; + NEGEMM _gemm_state_f; + NEArithmeticAddition _add_f; + NEActivationLayer _activation; + NEFullyConnectedLayer _fully_connected; + std::unique_ptr<NECopyKernel> _copy_kernel; + Tensor _fully_connected_out; + Tensor _gemm_output; + Tensor _add_output; + bool _is_prepared; }; } // namespace arm_compute #endif /* ARM_COMPUTE_NERNNLAYER_H */ |