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-rw-r--r--tensorflow/core/kernels/transpose_op.cc29
1 files changed, 29 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/transpose_op.cc b/tensorflow/core/kernels/transpose_op.cc
index 67300c1e96..4d303f0173 100644
--- a/tensorflow/core/kernels/transpose_op.cc
+++ b/tensorflow/core/kernels/transpose_op.cc
@@ -82,6 +82,15 @@ REGISTER_KERNEL_BUILDER(Name("InvertPermutation")
.HostMemory("y"),
InvertPermutationOp);
+#ifdef TENSORFLOW_USE_SYCL
+REGISTER_KERNEL_BUILDER(Name("InvertPermutation")
+ .Device(DEVICE_SYCL)
+ .TypeConstraint<int32>("T")
+ .HostMemory("x")
+ .HostMemory("y"),
+ InvertPermutationOp);
+#endif // TENSORFLOW_USE_SYCL
+
// output = TransposeOp(T<any> input, T<int32> perm) takes a tensor
// of type T and rank N, and a permutation of 0, 1, ..., N-1. It
// shuffles the dimensions of the input tensor according to permutation.
@@ -201,4 +210,24 @@ TF_CALL_POD_TYPES(REGISTER);
#undef REGISTER
#endif
+#ifdef TENSORFLOW_USE_SYCL
+Status TransposeSyclOp::DoTranspose(OpKernelContext* ctx, const Tensor& in,
+ gtl::ArraySlice<int32> perm, Tensor* out) {
+ typedef Eigen::SyclDevice SYCLDevice;
+ return ::tensorflow::DoTranspose(ctx->eigen_device<SYCLDevice>(), in, perm,
+ out);
+}
+#define REGISTER(T) \
+ REGISTER_KERNEL_BUILDER(Name("Transpose") \
+ .Device(DEVICE_SYCL) \
+ .TypeConstraint<T>("T") \
+ .TypeConstraint<int32>("Tperm") \
+ .HostMemory("perm"), \
+ TransposeSyclOp);
+REGISTER(float);
+REGISTER(bool);
+REGISTER(int32);
+#undef REGISTER
+#endif
+
} // namespace tensorflow