src/model/layer/cudnn_batchnorm.h

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#ifndef SINGA_MODEL_LAYER_CUDNN_BATCHNORM_H
#define SINGA_MODEL_LAYER_CUDNN_BATCHNORM_H
#include "singa/singa_config.h"
#ifdef USE_CUDNN

#include "batchnorm.h"
#include "cudnn_utils.h"

namespace singa {
class CudnnBatchNorm : public BatchNorm {
 public:
  ~CudnnBatchNorm();
  /// \copy doc Layer::layer_type()
  // const std::string layer_type() const override { return "CudnnBatchNorm"; }

  void Setup(const Shape& in_sample, const LayerConf& conf) override;

  const Tensor Forward(int flag, const Tensor& input) override;
  const std::pair<Tensor, vector<Tensor>> Backward(int flag,
                                                   const Tensor& grad) override;
  void ToDevice(std::shared_ptr<Device> device) override;

 private:
  /// Init cudnn related data structures.
  void InitCudnn(const Shape& shape, DataType dtype);

 private:
  bool has_init_cudnn_ = false;
  cudnnBatchNormMode_t mode_;
  cudnnLRNDescriptor_t lrn_desc_ = nullptr;
  cudnnTensorDescriptor_t shape_desc_ = nullptr, param_desc_ = nullptr;
  Tensor resultSaveMean_, resultSaveVariance_;

};  // class CudnnBatchNorm
}  // namespace

#endif  // USE_CUDNN
#endif  // SINGA_MODEL_LAYER_CUDNN_BATCHNORM