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#if GOOGLE_CUDA
#define EIGEN_USE_GPU
#include "tensorflow/core/kernels/xent_op.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/framework/tensor_types.h"
namespace tensorflow {
typedef Eigen::GpuDevice GPUDevice;
// Partial specialization for a GPUDevice, that uses the Eigen implementation
// from XentEigenImpl.
namespace functor {
template <typename T>
struct XentFunctor<GPUDevice, T> {
void operator()(const GPUDevice& d, typename TTypes<T>::ConstMatrix logits,
typename TTypes<T>::ConstMatrix labels,
typename TTypes<T>::Matrix scratch,
typename TTypes<T>::Vec loss,
typename TTypes<T>::Matrix backprop) {
XentEigenImpl<GPUDevice, T>::Compute(d, logits, labels, scratch, loss,
backprop);
}
};
} // end namespace functor
// Instantiate the GPU implementation for float.
template struct functor::XentFunctor<GPUDevice, float>;
} // end namespace tensorflow
#endif // GOOGLE_CUDA
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