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| author |  Andrew Harp <andrewharp@google.com> | 2017-03-01 17:59:22 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-03-01 18:08:24 -0800 |
| commit | 3e975ea978bac4d861bb09328b06f3c316212611 (patch) | |
| tree | 79bac044c9723df8443495eb962c2dd98a2ed421 /tensorflow/core/kernels/relu_op.cc | |
| parent | 8043a27ed77f59bb68409070f2bfa01df0e04b89 (diff) | |
Merge changes from github.
Change: 148954491
Diffstat (limited to 'tensorflow/core/kernels/relu_op.cc')
| -rw-r--r-- | tensorflow/core/kernels/relu_op.cc | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/relu_op.cc b/tensorflow/core/kernels/relu_op.cc index f24a71ec8c..d70398bea5 100644 --- a/tensorflow/core/kernels/relu_op.cc +++ b/tensorflow/core/kernels/relu_op.cc @@ -29,6 +29,9 @@ namespace tensorflow { typedef Eigen::ThreadPoolDevice CPUDevice; typedef Eigen::GpuDevice GPUDevice; +#ifdef TENSORFLOW_USE_SYCL +typedef Eigen::SyclDevice SYCLDevice; +#endif // TENSORFLOW_USE_SYCL #define REGISTER_RELU_KERNELS(type) \ REGISTER_KERNEL_BUILDER( \ @@ -131,4 +134,30 @@ TF_CALL_GPU_NUMBER_TYPES(REGISTER_GPU_KERNELS); #endif // GOOGLE_CUDA +#ifdef TENSORFLOW_USE_SYCL +// Registration of the GPU implementations. +#define REGISTER_SYCL_KERNELS(type) \ + REGISTER_KERNEL_BUILDER( \ + Name("Relu").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ + ReluOp<SYCLDevice, type>); \ + REGISTER_KERNEL_BUILDER( \ + Name("ReluGrad").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ + ReluGradOp<SYCLDevice, type>); \ + REGISTER_KERNEL_BUILDER( \ + Name("Relu6").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ + Relu6Op<SYCLDevice, type>); \ + REGISTER_KERNEL_BUILDER( \ + Name("Relu6Grad").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ + Relu6GradOp<SYCLDevice, type>); \ + REGISTER_KERNEL_BUILDER( \ + Name("Elu").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ + EluOp<SYCLDevice, type>); \ + REGISTER_KERNEL_BUILDER( \ + Name("EluGrad").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ + EluGradOp<SYCLDevice, type>) + +REGISTER_SYCL_KERNELS(float); +#undef REGISTER_SYCL_KERNELS +#endif // TENSORFLOW_USE_SYCL + } // namespace tensorflow |