Cleanup: Ran clang-format on all *.{cc,h} files in tensorflow/contrib/.../*.{hh,c}.

PiperOrigin-RevId: 183855242

1 files changed, 12 insertions, 12 deletions

diff --git a/tensorflow/contrib/nearest_neighbor/kernels/hyperplane_lsh_probes.cc b/tensorflow/contrib/nearest_neighbor/kernels/hyperplane_lsh_probes.cc
index 2b412fac9a..13db6f62f5 100644
--- a/tensorflow/contrib/nearest_neighbor/kernels/hyperplane_lsh_probes.cc
+++ b/tensorflow/contrib/nearest_neighbor/kernels/hyperplane_lsh_probes.cc
@@ -75,7 +75,8 @@ class HyperplaneLSHProbesOp : public OpKernel {
                                 num_hyperplanes_per_table, "."));
     OP_REQUIRES(context, num_hyperplanes_per_table <= 30,
                 InvalidArgument("Need num_hyperplanes_per_table <= 30, got ",
-                                num_hyperplanes_per_table, ". "
+                                num_hyperplanes_per_table,
+                                ". "
                                 "If you need more hyperplanes, change this Op"
                                 " to work for larger integer types (int64)."));
 
@@ -88,12 +89,13 @@ class HyperplaneLSHProbesOp : public OpKernel {
                 InvalidArgument("num_probes must be at least 1."));
 
     int expected_num_hyperplanes = num_tables * num_hyperplanes_per_table;
-    OP_REQUIRES(
-        context, products_tensor.dim_size(1) == expected_num_hyperplanes,
-        InvalidArgument("Expected number of hyperplanes is ",
-                        expected_num_hyperplanes, " but received ",
-                        products_tensor.dim_size(1), " inner products per "
-                        "point."));
+    OP_REQUIRES(context,
+                products_tensor.dim_size(1) == expected_num_hyperplanes,
+                InvalidArgument("Expected number of hyperplanes is ",
+                                expected_num_hyperplanes, " but received ",
+                                products_tensor.dim_size(1),
+                                " inner products per "
+                                "point."));
 
     auto products_eigen_tensor = products_tensor.matrix<CoordinateType>();
     ConstMatrixMap products_matrix(products_eigen_tensor.data(),
@@ -116,13 +118,11 @@ class HyperplaneLSHProbesOp : public OpKernel {
     // lschmidt's workstation.
     int64 cost_per_unit = 21 * num_hyperplanes_per_table * num_tables;
     if (num_probes > num_tables) {
-      cost_per_unit += 110 * num_hyperplanes_per_table
-          * (num_probes - num_tables);
+      cost_per_unit +=
+          110 * num_hyperplanes_per_table * (num_probes - num_tables);
     }
     context->device()->tensorflow_cpu_worker_threads()->workers->ParallelFor(
-        batch_size,
-        cost_per_unit,
-        [&](int64 start, int64 end) {
+        batch_size, cost_per_unit, [&](int64 start, int64 end) {
           HyperplaneMultiprobe<CoordinateType, int32> multiprobe(
               num_hyperplanes_per_table, num_tables);