diff options
Diffstat (limited to 'tensorflow/core/kernels/pad_op.cc')
| -rw-r--r-- | tensorflow/core/kernels/pad_op.cc | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/pad_op.cc b/tensorflow/core/kernels/pad_op.cc index bec2d02cb5..91984319c6 100644 --- a/tensorflow/core/kernels/pad_op.cc +++ b/tensorflow/core/kernels/pad_op.cc @@ -38,6 +38,9 @@ namespace tensorflow { typedef Eigen::ThreadPoolDevice CPUDevice; typedef Eigen::GpuDevice GPUDevice; +#ifdef TENSORFLOW_USE_SYCL +typedef Eigen::SyclDevice SYCLDevice; +#endif // TENSORFLOW_USE_SYCL template <typename Device, typename T> class PadOp : public OpKernel { @@ -199,4 +202,30 @@ REGISTER_KERNEL_BUILDER(Name("Pad") PadOp<CPUDevice, int32>); #endif +#ifdef TENSORFLOW_USE_SYCL +// Registration of the GPU implementations. +#define REGISTER_SYCL_KERNEL(T) \ + REGISTER_KERNEL_BUILDER(Name("Pad") \ + .Device(DEVICE_SYCL) \ + .TypeConstraint<T>("T") \ + .TypeConstraint<int32>("Tpaddings") \ + .HostMemory("paddings"), \ + PadOp<SYCLDevice, T>) + +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("Pad") + .Device(DEVICE_SYCL) + .TypeConstraint<int32>("T") + .TypeConstraint<int32>("Tpaddings") + .HostMemory("input") + .HostMemory("paddings") + .HostMemory("output"), + PadOp<CPUDevice, int32>); +#endif // TENSORFLOW_USE_SYCL + } // end namespace tensorflow |