diff options
Diffstat (limited to 'tensorflow/core/kernels/cwise_op_rsqrt.cc')
| -rw-r--r-- | tensorflow/core/kernels/cwise_op_rsqrt.cc | 19 |
1 files changed, 7 insertions, 12 deletions
diff --git a/tensorflow/core/kernels/cwise_op_rsqrt.cc b/tensorflow/core/kernels/cwise_op_rsqrt.cc index f23725f48e..a434538fbf 100644 --- a/tensorflow/core/kernels/cwise_op_rsqrt.cc +++ b/tensorflow/core/kernels/cwise_op_rsqrt.cc @@ -19,21 +19,12 @@ namespace tensorflow { REGISTER5(UnaryOp, CPU, "Rsqrt", functor::rsqrt, float, Eigen::half, double, complex64, complex128); -#if TENSORFLOW_USE_SYCL -#define REGISTER_SYCL_KERNEL(TYPE) \ - REGISTER_KERNEL_BUILDER( \ - Name("Rsqrt") \ - .Device(DEVICE_SYCL) \ - .TypeConstraint<TYPE>("T"), \ - UnaryOp<SYCLDevice, functor::rsqrt<TYPE>>); -REGISTER_SYCL_KERNEL(float); -REGISTER_SYCL_KERNEL(double); -#undef REGISTER_SYCL_KERNEL -#endif // TENSORFLOW_USE_SYCL - #if GOOGLE_CUDA REGISTER3(UnaryOp, GPU, "Rsqrt", functor::rsqrt, float, Eigen::half, double); #endif +#ifdef TENSORFLOW_USE_SYCL +REGISTER2(UnaryOp, SYCL, "Rsqrt", functor::rsqrt, float, double); +#endif // TENSORFLOW_USE_SYCL REGISTER5(SimpleBinaryOp, CPU, "RsqrtGrad", functor::rsqrt_grad, float, Eigen::half, double, complex64, complex128); @@ -41,4 +32,8 @@ REGISTER5(SimpleBinaryOp, CPU, "RsqrtGrad", functor::rsqrt_grad, float, REGISTER3(SimpleBinaryOp, GPU, "RsqrtGrad", functor::rsqrt_grad, float, Eigen::half, double); #endif +#ifdef TENSORFLOW_USE_SYCL +REGISTER2(SimpleBinaryOp, SYCL, "RsqrtGrad", functor::rsqrt_grad, float, + double); +#endif // TENSORFLOW_USE_SYCL } // namespace tensorflow |