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#ifndef TENSORFLOW_KERNELS_L2LOSS_OP_H_
#define TENSORFLOW_KERNELS_L2LOSS_OP_H_
// Functor definition for L2LossOp, must be compilable by nvcc.
#include "tensorflow/core/framework/tensor_types.h"
#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
namespace tensorflow {
namespace functor {
// Functor used by L2LossOp to do the computations.
template <typename Device, typename T>
struct L2Loss {
void operator()(const Device& d, typename TTypes<T>::ConstTensor input,
typename TTypes<T>::Scalar output) {
// We flatten the input tensor and reduce on dimension 0, producing
// a single number which is Mul(Sum(x^2), 0.5).
output.device(d) = input.square().sum() * static_cast<T>(0.5);
}
};
} // namespace functor
} // namespace tensorflow
#endif // TENSORFLOW_KERNELS_L2LOSS_OP_H_
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