diff options
Diffstat (limited to 'tensorflow/core/kernels/cwise_op_sub.cc')
| -rw-r--r-- | tensorflow/core/kernels/cwise_op_sub.cc | 31 |
1 files changed, 10 insertions, 21 deletions
diff --git a/tensorflow/core/kernels/cwise_op_sub.cc b/tensorflow/core/kernels/cwise_op_sub.cc index eab1e2a09c..eb173c7040 100644 --- a/tensorflow/core/kernels/cwise_op_sub.cc +++ b/tensorflow/core/kernels/cwise_op_sub.cc @@ -24,28 +24,7 @@ REGISTER7(BinaryOp, CPU, "Sub", functor::sub, float, Eigen::half, double, int32, // int32 version of this op is needed, so explicitly include it. REGISTER(BinaryOp, CPU, "Sub", functor::sub, int32); #endif // __ANDROID_TYPES_SLIM__ -#if TENSORFLOW_USE_SYCL -#define REGISTER_SYCL_KERNEL(TYPE) \ - REGISTER_KERNEL_BUILDER( \ - Name("Sub") \ - .Device(DEVICE_SYCL) \ - .TypeConstraint<TYPE>("T"), \ - BinaryOp<SYCLDevice, functor::sub<TYPE>>); - REGISTER_SYCL_KERNEL(float); - REGISTER_SYCL_KERNEL(double); -// A special GPU kernel for int32. -// TODO(b/25387198): Also enable int32 in device memory. This kernel -// registration requires all int32 inputs and outputs to be in host memory. -REGISTER_KERNEL_BUILDER(Name("Sub") - .Device(DEVICE_SYCL) - .HostMemory("x") - .HostMemory("y") - .HostMemory("z") - .TypeConstraint<int32>("T"), - BinaryOp<CPUDevice, functor::sub<int32>>); -#undef REGISTER_SYCL_KERNEL -#endif // TENSORFLOW_USE_SYCL #if GOOGLE_CUDA REGISTER6(BinaryOp, GPU, "Sub", functor::sub, float, Eigen::half, double, int64, complex64, complex128); @@ -62,4 +41,14 @@ REGISTER_KERNEL_BUILDER(Name("Sub") BinaryOp<CPUDevice, functor::sub<int32>>); #endif +#ifdef TENSORFLOW_USE_SYCL +REGISTER3(BinaryOp, SYCL, "Sub", functor::sub, float, double, int64); +REGISTER_KERNEL_BUILDER(Name("Sub") + .Device(DEVICE_SYCL) + .HostMemory("x") + .HostMemory("y") + .HostMemory("z") + .TypeConstraint<int32>("T"), + BinaryOp<CPUDevice, functor::sub<int32>>); +#endif // TENSORFLOW_USE_SYCL } // namespace tensorflow |