diff options
Diffstat (limited to 'tensorflow/core/kernels/pack_op.cc')
| -rw-r--r-- | tensorflow/core/kernels/pack_op.cc | 18 |
1 files changed, 8 insertions, 10 deletions
diff --git a/tensorflow/core/kernels/pack_op.cc b/tensorflow/core/kernels/pack_op.cc index cb78aacb0d..edaa10761e 100644 --- a/tensorflow/core/kernels/pack_op.cc +++ b/tensorflow/core/kernels/pack_op.cc @@ -118,6 +118,12 @@ class PackOp : public OpKernel { return; } #endif // GOOGLE_CUDA +#ifdef TENSORFLOW_USE_SYCL + if (std::is_same<Device, SYCLDevice>::value) { + ConcatSYCL<T>(c->eigen_sycl_device(), inputs_flat, &output_flat); + return; + } +#endif // TENSORFLOW_USE_SYCL ConcatCPU<T>(c->device(), inputs_flat, &output_flat); } } @@ -166,26 +172,18 @@ REGISTER_KERNEL_BUILDER(Name("Pack") #endif // GOOGLE_CUDA #ifdef TENSORFLOW_USE_SYCL - #define REGISTER_SYCL(type) \ REGISTER_KERNEL_BUILDER( \ Name("Pack").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ PackOp<SYCLDevice, type>) -REGISTER_SYCL(float); -REGISTER_SYCL(double); -#undef REGISTER_SYCL - -// 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. +TF_CALL_GPU_NUMBER_TYPES_NO_HALF(REGISTER_SYCL); REGISTER_KERNEL_BUILDER(Name("Pack") .Device(DEVICE_SYCL) .HostMemory("values") .HostMemory("output") .TypeConstraint<int32>("T"), PackOp<CPUDevice, int32>); - +#undef REGISTER_SYCL #endif // TENSORFLOW_USE_SYCL - } // namespace tensorflow |