Fix include guards

PiperOrigin-RevId: 209085003
tensorflow · Aug 17, 2018 · 4d5f6fb · 4d5f6fb
1 parent 86d2a1e
commit 4d5f6fb
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Showing 15 changed files with 67 additions and 16 deletions.
diff --git a/tensorflow/core/common_runtime/sycl/sycl_allocator.h b/tensorflow/core/common_runtime/sycl/sycl_allocator.h
@@ -17,8 +17,8 @@ limitations under the License.
 #error This file must only be included when building TensorFlow with SYCL support
 #endif
 
-#ifndef TENSORFLOW_COMMON_RUNTIME_SYCL_SYCL_ALLOCATOR_H_
-#define TENSORFLOW_COMMON_RUNTIME_SYCL_SYCL_ALLOCATOR_H_
+#ifndef TENSORFLOW_CORE_COMMON_RUNTIME_SYCL_SYCL_ALLOCATOR_H_
+#define TENSORFLOW_CORE_COMMON_RUNTIME_SYCL_SYCL_ALLOCATOR_H_
 
 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
 #include "tensorflow/core/framework/allocator.h"
@@ -72,4 +72,4 @@ class SYCLAllocator : public Allocator {
 
 }  // namespace tensorflow
 
-#endif  // TENSORFLOW_COMMON_RUNTIME_SYCL_SYCL_ALLOCATOR_H_
+#endif  // TENSORFLOW_CORE_COMMON_RUNTIME_SYCL_SYCL_ALLOCATOR_H_
diff --git a/tensorflow/core/kernels/batch_matmul_op_impl.h b/tensorflow/core/kernels/batch_matmul_op_impl.h
@@ -15,6 +15,9 @@ limitations under the License.
 
 // See docs in ../ops/math_ops.cc.
 
+#ifndef TENSORFLOW_CORE_KERNELS_BATCH_MATMUL_OP_IMPL_H_
+#define TENSORFLOW_CORE_KERNELS_BATCH_MATMUL_OP_IMPL_H_
+
 #define EIGEN_USE_THREADS
 
 #include <vector>
@@ -613,3 +616,5 @@ class BatchMatMul : public OpKernel {
       BatchMatMul<SYCLDevice, TYPE>)
 #endif  // TENSORFLOW_USE_SYCL
 }  // end namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_KERNELS_BATCH_MATMUL_OP_IMPL_H_
diff --git a/tensorflow/core/kernels/concat_lib_cpu.h b/tensorflow/core/kernels/concat_lib_cpu.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_CONCAT_LIB_CPU_H_
+#define TENSORFLOW_CORE_KERNELS_CONCAT_LIB_CPU_H_
+
 #define EIGEN_USE_THREADS
 
 #include <vector>
@@ -162,3 +165,5 @@ void ConcatSYCLImpl(
 }
 #endif  // TENSORFLOW_USE_SYCL
 }  // namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_KERNELS_CONCAT_LIB_CPU_H_
diff --git a/tensorflow/core/kernels/cuda_solvers.h b/tensorflow/core/kernels/cuda_solvers.h
@@ -14,6 +14,9 @@ limitations under the License.
 ==============================================================================
 */
 
+#ifndef TENSORFLOW_CORE_KERNELS_CUDA_SOLVERS_H_
+#define TENSORFLOW_CORE_KERNELS_CUDA_SOLVERS_H_
+
 // This header declares the class CudaSolver, which contains wrappers of linear
 // algebra solvers in the cuBlas and cuSolverDN libraries for use in TensorFlow
 // kernels.
@@ -433,3 +436,5 @@ inline DeviceLapackInfo CudaSolver::GetDeviceLapackInfo(
 }  // namespace tensorflow
 
 #endif  // GOOGLE_CUDA
+
+#endif  // TENSORFLOW_CORE_KERNELS_CUDA_SOLVERS_H_
diff --git a/tensorflow/core/kernels/cwise_ops_gpu_common.cu.h b/tensorflow/core/kernels/cwise_ops_gpu_common.cu.h
@@ -17,8 +17,8 @@ limitations under the License.
 #error This file must only be included when building with Cuda support
 #endif
 
-#ifndef TENSORFLOW_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
-#define TENSORFLOW_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
+#ifndef TENSORFLOW_CORE_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
+#define TENSORFLOW_CORE_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
 
 #define EIGEN_USE_GPU
 
@@ -188,4 +188,4 @@ struct ApproximateEqual<GPUDevice, T> {
 }  // end namespace functor
 }  // end namespace tensorflow
 
-#endif  // TENSORFLOW_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
+#endif  // TENSORFLOW_CORE_KERNELS_CWISE_OPS_GPU_COMMON_CU_H_
diff --git a/tensorflow/core/kernels/cwise_ops_gpu_gradients.cu.h b/tensorflow/core/kernels/cwise_ops_gpu_gradients.cu.h
@@ -17,8 +17,8 @@ limitations under the License.
 #error This file must only be included when building with Cuda support
 #endif
 
-#ifndef TENSORFLOW_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_
-#define TENSORFLOW_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_
+#ifndef TENSORFLOW_CORE_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_
+#define TENSORFLOW_CORE_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_
 
 #define EIGEN_USE_GPU
 
@@ -68,4 +68,4 @@ struct SimpleBinaryFunctor<GPUDevice, Functor> {
 }  // end namespace functor
 }  // end namespace tensorflow
 
-#endif  // TENSORFLOW_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_
+#endif  // TENSORFLOW_CORE_KERNELS_CWISE_OPS_GPU_GRADIENTS_CU_H_
diff --git a/tensorflow/core/kernels/gemm_functors.h b/tensorflow/core/kernels/gemm_functors.h
@@ -24,6 +24,9 @@ limitations under the License.
 #error "EIGEN_USE_THREADS must be enabled by all .cc files including this."
 #endif  // EIGEN_USE_THREADS
 
+#ifndef TENSORFLOW_CORE_KERNELS_GEMM_FUNCTORS_H_
+#define TENSORFLOW_CORE_KERNELS_GEMM_FUNCTORS_H_
+
 #include <string.h>
 #include <map>
 #include <vector>
@@ -116,3 +119,5 @@ class FastGemmFunctor<float, float, float> {
   }
 };
 #endif  // USE_CBLAS_GEMM
+
+#endif  // TENSORFLOW_CORE_KERNELS_GEMM_FUNCTORS_H_
diff --git a/tensorflow/core/kernels/matrix_solve_ls_op_impl.h b/tensorflow/core/kernels/matrix_solve_ls_op_impl.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_MATRIX_SOLVE_LS_OP_IMPL_H_
+#define TENSORFLOW_CORE_KERNELS_MATRIX_SOLVE_LS_OP_IMPL_H_
+
 // See docs in ../ops/linalg_ops.cc.
 
 #include "third_party/eigen3/Eigen/Cholesky"
@@ -159,3 +162,5 @@ class MatrixSolveLsOp : public LinearAlgebraOp<Scalar> {
 };
 
 }  // namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_KERNELS_MATRIX_SOLVE_LS_OP_IMPL_H_
diff --git a/tensorflow/core/kernels/pooling_ops_3d_gpu.h b/tensorflow/core/kernels/pooling_ops_3d_gpu.h
@@ -17,8 +17,8 @@ limitations under the License.
 #error This file must only be included when building with Cuda support
 #endif
 
-#ifndef TENSORFLOW_CORE_KERNELS_POOLING_OP_3D_GPU_H_
-#define TENSORFLOW_CORE_KERNELS_POOLING_OP_3D_GPU_H_
+#ifndef TENSORFLOW_CORE_KERNELS_POOLING_OPS_3D_GPU_H_
+#define TENSORFLOW_CORE_KERNELS_POOLING_OPS_3D_GPU_H_
 
 #define EIGEN_USE_GPU
 
@@ -45,4 +45,4 @@ struct MaxPool3dGradBackward {
 
 }  // namespace tensorflow
 
-#endif  // TENSORFLOW_CORE_KERNELS_POOLING_OP_3D_H_
+#endif  // TENSORFLOW_CORE_KERNELS_POOLING_OPS_3D_GPU_H_
diff --git a/tensorflow/core/kernels/qr_op_impl.h b/tensorflow/core/kernels/qr_op_impl.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_QR_OP_IMPL_H_
+#define TENSORFLOW_CORE_KERNELS_QR_OP_IMPL_H_
+
 // See docs in ../ops/linalg_ops.cc.
 //
 // This header file is used by the individual qr_*op*.cc files for registering
@@ -292,6 +295,8 @@ class QrOpGpu : public AsyncOpKernel {
   TF_DISALLOW_COPY_AND_ASSIGN(QrOpGpu);
 };
 
-#endif
+#endif  // GOOGLE_CUDA
 
 }  // namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_KERNELS_QR_OP_IMPL_H_
diff --git a/tensorflow/core/kernels/reduction_gpu_kernels.cu.h b/tensorflow/core/kernels/reduction_gpu_kernels.cu.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_REDUCTION_GPU_KERNELS_CU_H_
+#define TENSORFLOW_CORE_KERNELS_REDUCTION_GPU_KERNELS_CU_H_
+
 #if GOOGLE_CUDA
 
 #define EIGEN_USE_GPU
@@ -1058,4 +1061,6 @@ struct ReduceFunctor<GPUDevice, Eigen::internal::OrReducer> {
 }  // namespace functor
 }  // namespace tensorflow
 
-#endif
+#endif  // GOOGLE_CUDA
+
+#endif  // TENSORFLOW_CORE_KERNELS_REDUCTION_GPU_KERNELS_CU_H_
diff --git a/tensorflow/core/kernels/self_adjoint_eig_v2_op_impl.h b/tensorflow/core/kernels/self_adjoint_eig_v2_op_impl.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_SELF_ADJOINT_EIG_V2_OP_IMPL_H_
+#define TENSORFLOW_CORE_KERNELS_SELF_ADJOINT_EIG_V2_OP_IMPL_H_
+
 // See docs in ../ops/linalg_ops.cc.
 
 #include "third_party/eigen3/Eigen/Core"
@@ -85,3 +88,5 @@ class SelfAdjointEigV2Op : public LinearAlgebraOp<Scalar> {
 };
 
 }  // namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_KERNELS_SELF_ADJOINT_EIG_V2_OP_IMPL_H_
diff --git a/tensorflow/core/kernels/svd_op_impl.h b/tensorflow/core/kernels/svd_op_impl.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_SVD_OP_IMPL_H_
+#define TENSORFLOW_CORE_KERNELS_SVD_OP_IMPL_H_
+
 // See docs in ../ops/linalg_ops.cc.
 //
 // This header file is used by the individual svd_*op*.cc files for registering
@@ -101,3 +104,5 @@ class SvdOp : public LinearAlgebraOp<Scalar> {
 };
 
 }  // namespace tensorflow
+
+#endif  // TENSORFLOW_CORE_KERNELS_SVD_OP_IMPL_H_
diff --git a/tensorflow/core/kernels/where_op_gpu.cu.h b/tensorflow/core/kernels/where_op_gpu.cu.h
@@ -13,6 +13,9 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#ifndef TENSORFLOW_CORE_KERNELS_WHERE_OP_GPU_CU_H_
+#define TENSORFLOW_CORE_KERNELS_WHERE_OP_GPU_CU_H_
+
 #if GOOGLE_CUDA
 
 #define EIGEN_USE_GPU
@@ -346,3 +349,5 @@ TF_CALL_WHERE_GPU_TYPES(DECLARE_GPU_SPEC);
 }  // namespace tensorflow
 
 #endif  // GOOGLE_CUDA
+
+#endif  // TENSORFLOW_CORE_KERNELS_WHERE_OP_GPU_CU_H_
diff --git a/tensorflow/core/util/env_var.h b/tensorflow/core/util/env_var.h
@@ -13,7 +13,8 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
-#ifndef TENSORFLOW_UTIL_ENV_VAR_H_
+#ifndef TENSORFLOW_CORE_UTIL_ENV_VAR_H_
+#define TENSORFLOW_CORE_UTIL_ENV_VAR_H_
 
 #include "tensorflow/core/lib/core/status.h"
 #include "tensorflow/core/lib/core/stringpiece.h"
@@ -42,4 +43,4 @@ Status ReadStringFromEnvVar(StringPiece env_var_name, StringPiece default_val,
 
 }  // namespace tensorflow
 
-#endif  // TENSORFLOW_UTIL_ENV_VAR_H_
+#endif  // TENSORFLOW_CORE_UTIL_ENV_VAR_H_