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Diffstat (limited to 'tensorflow/core/kernels/cast_op_gpu.cu.cc')
-rw-r--r--tensorflow/core/kernels/cast_op_gpu.cu.cc45
1 files changed, 45 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/cast_op_gpu.cu.cc b/tensorflow/core/kernels/cast_op_gpu.cu.cc
new file mode 100644
index 0000000000..cd198c752b
--- /dev/null
+++ b/tensorflow/core/kernels/cast_op_gpu.cu.cc
@@ -0,0 +1,45 @@
+#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