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#if GOOGLE_CUDA
#define EIGEN_USE_GPU
#include "tensorflow/core/framework/bfloat16.h"
#include "tensorflow/core/kernels/cast_op.h"
namespace tensorflow {
namespace functor {
typedef Eigen::GpuDevice GPUDevice;
template <typename O, typename I>
struct CastFunctor<GPUDevice, O, I> {
void operator()(const GPUDevice& d, typename TTypes<O>::Flat o,
typename TTypes<I>::ConstFlat i) {
Cast<GPUDevice, O, I>(d, o, i);
}
};
#define DEFINE(O, I) template struct CastFunctor<GPUDevice, O, I>;
DEFINE(float, double);
DEFINE(float, int32);
DEFINE(float, int64);
DEFINE(double, float);
DEFINE(double, int32);
DEFINE(double, int64);
DEFINE(int32, float);
DEFINE(int32, double);
DEFINE(int32, int64);
DEFINE(int64, float);
DEFINE(int64, double);
DEFINE(int64, int32);
DEFINE(int32, bool);
DEFINE(float, bool);
DEFINE(float, uint8);
DEFINE(uint8, float);
DEFINE(float, bfloat16);
DEFINE(bfloat16, float);
#undef DEFINE
} // end namespace functor
} // end namespace tensorflow
#endif // GOOGLE_CUDA
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