Cleanup: Ran clang-format on files in tensorflow/core/.../*.{cc,h}.

PiperOrigin-RevId: 183848459

6 files changed, 55 insertions, 50 deletions

diff --git a/tensorflow/core/profiler/internal/advisor/tfprof_advisor_test.cc b/tensorflow/core/profiler/internal/advisor/tfprof_advisor_test.cc
index d05143aff9..e968b9c97e 100644
--- a/tensorflow/core/profiler/internal/advisor/tfprof_advisor_test.cc
+++ b/tensorflow/core/profiler/internal/advisor/tfprof_advisor_test.cc
@@ -53,10 +53,13 @@ class TFProfAdvisorTest : public ::testing::Test {
     NodeExecStats node_stat;
     node_stat.set_all_start_micros(start_miros);
     node_stat.set_op_end_rel_micros(end_rel_micros);
-    node->AddStepStat(step, "/job:localhost/replica:0/task:0/device:GPU:0", node_stat);
-    node->AddStepStat(step, "/job:localhost/replica:0/task:0/device:GPU:0:stream:all",
+    node->AddStepStat(step, "/job:localhost/replica:0/task:0/device:GPU:0",
                       node_stat);
-    node->AddStepStat(step, "/job:localhost/replica:0/task:0/device:GPU:0:stream:0",
+    node->AddStepStat(step,
+                      "/job:localhost/replica:0/task:0/device:GPU:0:stream:all",
+                      node_stat);
+    node->AddStepStat(step,
+                      "/job:localhost/replica:0/task:0/device:GPU:0:stream:0",
                       node_stat);
     return node;
   }
diff --git a/tensorflow/core/profiler/internal/tfprof_op.cc b/tensorflow/core/profiler/internal/tfprof_op.cc
index 5a8429d489..3dce1d85db 100644
--- a/tensorflow/core/profiler/internal/tfprof_op.cc
+++ b/tensorflow/core/profiler/internal/tfprof_op.cc
@@ -113,8 +113,9 @@ const ShowMultiNode* TFOp::ShowInternal(const Options& opts,
     root_->formatted_str = FormatNode(root_.get(), root_.get(), opts);
   }
   if (timeline) {
-    fprintf(stderr, "op view doesn't support timeline yet. "
-                    "Consider graph/scope/code view.\n");
+    fprintf(stderr,
+            "op view doesn't support timeline yet. "
+            "Consider graph/scope/code view.\n");
     return root_.get();
   }
   if (cnodes_map_.empty()) {
@@ -265,9 +266,9 @@ string TFOp::FormatNode(OpNode* node, OpNode* root, const Options& opts) const {
     double pct = 0.0;
     if (node->proto().total_parameters() > 0) {
       accu_pct = 100.0 * node->proto().total_parameters() /
-          root->proto().total_parameters();
-      pct = 100.0 * node->proto().parameters() /
-          root->proto().total_parameters();
+                 root->proto().total_parameters();
+      pct =
+          100.0 * node->proto().parameters() / root->proto().total_parameters();
     }
     attrs.push_back(strings::Printf(
         "%30s",
@@ -282,9 +283,8 @@ string TFOp::FormatNode(OpNode* node, OpNode* root, const Options& opts) const {
     double pct = 0.0;
     if (node->proto().total_float_ops() > 0) {
       accu_pct = 100.0 * node->proto().total_float_ops() /
-          root->proto().total_float_ops();
-      pct = 100.0 * node->proto().float_ops() /
-          root->proto().total_float_ops();
+                 root->proto().total_float_ops();
+      pct = 100.0 * node->proto().float_ops() / root->proto().total_float_ops();
     }
 
     attrs.push_back(strings::Printf(
diff --git a/tensorflow/core/profiler/internal/tfprof_op.h b/tensorflow/core/profiler/internal/tfprof_op.h
index fe1c3b2ae8..aa22182d36 100644
--- a/tensorflow/core/profiler/internal/tfprof_op.h
+++ b/tensorflow/core/profiler/internal/tfprof_op.h
@@ -41,8 +41,7 @@ namespace tfprof {
 // to input ops.
 class TFOp : public TFMultiShow {
  public:
-  explicit TFOp()
-      : TFMultiShow() {}
+  explicit TFOp() : TFMultiShow() {}
   ~TFOp() override {}
 
   void AddNode(TFGraphNode* node) override;
@@ -51,7 +50,7 @@ class TFOp : public TFMultiShow {
 
  private:
   const ShowMultiNode* ShowInternal(const Options& opts,
-                                   Timeline* timeline) override;
+                                    Timeline* timeline) override;
 
   int64 SearchRoot(const std::vector<OpNode*> nodes,
                    const std::vector<string>& regexes);
diff --git a/tensorflow/core/profiler/internal/tfprof_show.h b/tensorflow/core/profiler/internal/tfprof_show.h
index 4d6de06070..81b021549a 100644
--- a/tensorflow/core/profiler/internal/tfprof_show.h
+++ b/tensorflow/core/profiler/internal/tfprof_show.h
@@ -78,40 +78,43 @@ class TFShow {
       return nodes;
     }
     std::vector<T*> sorted_nodes = nodes;
-    std::sort(sorted_nodes.begin(), sorted_nodes.end(), [&opts](const T* n1,
-                                                                const T* n2) {
-      if (n1->name() == kTFProfRoot) return true;
-      if (n2->name() == kTFProfRoot) return false;
-      bool name_cmp = n1->name() < n2->name();
-      if (opts.order_by == kOrderBy[0]) {
-        return name_cmp;
-      } else if (opts.order_by == kOrderBy[1]) {
-        return n1->proto().total_requested_bytes() >
-               n2->proto().total_requested_bytes();
-      } else if (opts.order_by == kOrderBy[2]) {
-        return n1->proto().total_peak_bytes() > n2->proto().total_peak_bytes();
-      } else if (opts.order_by == kOrderBy[3]) {
-        return n1->proto().total_residual_bytes() >
-               n2->proto().total_residual_bytes();
-      } else if (opts.order_by == kOrderBy[4]) {
-        return n1->proto().total_output_bytes() >
-               n2->proto().total_output_bytes();
-      } else if (opts.order_by == kOrderBy[5]) {
-        return n1->proto().total_exec_micros() >
-               n2->proto().total_exec_micros();
-      } else if (opts.order_by == kOrderBy[6]) {
-        return n1->proto().total_accelerator_exec_micros() >
-               n2->proto().total_accelerator_exec_micros();
-      } else if (opts.order_by == kOrderBy[7]) {
-        return n1->proto().total_cpu_exec_micros() >
-               n2->proto().total_cpu_exec_micros();
-      } else if (opts.order_by == kOrderBy[8]) {
-        return n1->proto().total_parameters() > n2->proto().total_parameters();
-      } else if (opts.order_by == kOrderBy[9]) {
-        return n1->proto().total_float_ops() > n2->proto().total_float_ops();
-      }
-      return name_cmp;
-    });
+    std::sort(sorted_nodes.begin(), sorted_nodes.end(),
+              [&opts](const T* n1, const T* n2) {
+                if (n1->name() == kTFProfRoot) return true;
+                if (n2->name() == kTFProfRoot) return false;
+                bool name_cmp = n1->name() < n2->name();
+                if (opts.order_by == kOrderBy[0]) {
+                  return name_cmp;
+                } else if (opts.order_by == kOrderBy[1]) {
+                  return n1->proto().total_requested_bytes() >
+                         n2->proto().total_requested_bytes();
+                } else if (opts.order_by == kOrderBy[2]) {
+                  return n1->proto().total_peak_bytes() >
+                         n2->proto().total_peak_bytes();
+                } else if (opts.order_by == kOrderBy[3]) {
+                  return n1->proto().total_residual_bytes() >
+                         n2->proto().total_residual_bytes();
+                } else if (opts.order_by == kOrderBy[4]) {
+                  return n1->proto().total_output_bytes() >
+                         n2->proto().total_output_bytes();
+                } else if (opts.order_by == kOrderBy[5]) {
+                  return n1->proto().total_exec_micros() >
+                         n2->proto().total_exec_micros();
+                } else if (opts.order_by == kOrderBy[6]) {
+                  return n1->proto().total_accelerator_exec_micros() >
+                         n2->proto().total_accelerator_exec_micros();
+                } else if (opts.order_by == kOrderBy[7]) {
+                  return n1->proto().total_cpu_exec_micros() >
+                         n2->proto().total_cpu_exec_micros();
+                } else if (opts.order_by == kOrderBy[8]) {
+                  return n1->proto().total_parameters() >
+                         n2->proto().total_parameters();
+                } else if (opts.order_by == kOrderBy[9]) {
+                  return n1->proto().total_float_ops() >
+                         n2->proto().total_float_ops();
+                }
+                return name_cmp;
+              });
     return sorted_nodes;
   }
 
diff --git a/tensorflow/core/profiler/internal/tfprof_show_multi.h b/tensorflow/core/profiler/internal/tfprof_show_multi.h
index 2a2208d8e7..711d35f975 100644
--- a/tensorflow/core/profiler/internal/tfprof_show_multi.h
+++ b/tensorflow/core/profiler/internal/tfprof_show_multi.h
@@ -50,7 +50,7 @@ class TFMultiShow {
 
  protected:
   virtual const ShowMultiNode* ShowInternal(const Options& opts,
-                                           Timeline* timeline) = 0;
+                                            Timeline* timeline) = 0;
 
   bool LookUpCheckPoint(const string& name,
                         std::unique_ptr<TFProfTensor>* tensor);
diff --git a/tensorflow/core/profiler/internal/tfprof_timeline.h b/tensorflow/core/profiler/internal/tfprof_timeline.h
index 651ad3f0c1..baf3fb2bed 100644
--- a/tensorflow/core/profiler/internal/tfprof_timeline.h
+++ b/tensorflow/core/profiler/internal/tfprof_timeline.h
@@ -20,8 +20,8 @@ limitations under the License.
 #include "tensorflow/core/framework/graph.pb.h"
 #include "tensorflow/core/framework/step_stats.pb.h"
 #include "tensorflow/core/lib/strings/strcat.h"
-#include "tensorflow/core/protobuf/config.pb.h"
 #include "tensorflow/core/profiler/internal/tfprof_node_show.h"
+#include "tensorflow/core/protobuf/config.pb.h"
 
 namespace tensorflow {
 namespace tfprof {