1 files changed, 85 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/tile_functor_cpu.cc b/tensorflow/core/kernels/tile_functor_cpu.cc
new file mode 100644
index 0000000000..3af00350b9
--- /dev/null
+++ b/tensorflow/core/kernels/tile_functor_cpu.cc
@@ -0,0 +1,85 @@
+/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#define EIGEN_USE_THREADS
+
+#include "tensorflow/core/framework/register_types.h"
+#include "tensorflow/core/kernels/tile_functor.h"
+
+namespace tensorflow {
+
+namespace internal {
+
+template <typename Device, typename T>
+void TileSimple(const Device& d, Tensor* out, const Tensor& in) {
+  const int ndims = in.dims();
+  const int64 nelem = out->NumElements();
+  gtl::InlinedVector<int64, 8> in_strides = ComputeStride<int64>(in.shape());
+  gtl::InlinedVector<int64, 8> out_strides = ComputeStride<int64>(out->shape());
+  const T* p = in.flat<T>().data();
+  T* q = out->flat<T>().data();
+
+  for (int64 o_idx = 0; o_idx < nelem; ++o_idx) {
+    int64 i_idx = 0;
+    int64 t = o_idx;
+    for (int i = 0; i < ndims; ++i) {
+      i_idx += t / out_strides[i] % in.dim_size(i) * in_strides[i];
+      t %= out_strides[i];
+    }
+    q[o_idx] = p[i_idx];
+  }
+}
+
+}  // end namespace internal
+
+namespace functor {
+
+typedef Eigen::ThreadPoolDevice CPUDevice;
+
+// Register functors used for Tile functor.
+#define DEFINE_TYPE(T) template struct Tile<CPUDevice, T>;
+
+TF_CALL_bool(DEFINE_TYPE);
+TF_CALL_float(DEFINE_TYPE);
+TF_CALL_double(DEFINE_TYPE);
+TF_CALL_uint8(DEFINE_TYPE);
+TF_CALL_int32(DEFINE_TYPE);
+TF_CALL_int16(DEFINE_TYPE);
+TF_CALL_int64(DEFINE_TYPE);
+TF_CALL_half(DEFINE_TYPE);
+TF_CALL_complex64(DEFINE_TYPE);
+TF_CALL_complex128(DEFINE_TYPE);
+TF_CALL_string(DEFINE_TYPE);
+
+#undef DEFINE_TYPE
+
+#ifdef TENSORFLOW_USE_SYCL
+typedef Eigen::SyclDevice SYCLDevice;
+
+#define DEFINE_TYPE(T) template struct Tile<SYCLDevice, T>;
+
+TF_CALL_bool(DEFINE_TYPE);
+TF_CALL_float(DEFINE_TYPE);
+TF_CALL_double(DEFINE_TYPE);
+TF_CALL_uint8(DEFINE_TYPE);
+TF_CALL_int32(DEFINE_TYPE);
+TF_CALL_int16(DEFINE_TYPE);
+TF_CALL_int64(DEFINE_TYPE);
+
+#undef DEFINE_TYPE
+#endif // TENSORFLOW_USE_SYCL
+
+}  // end namespace functor
+}  // end namespace tensorflow