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+/* Copyright 2017 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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_HLO_EXECUTION_PROFILE_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_EXECUTION_PROFILE_H_
+
+#include <unordered_map>
+
+#include "tensorflow/compiler/xla/service/hlo_cost_analysis.h"
+#include "tensorflow/compiler/xla/types.h"
+#include "tensorflow/core/platform/stream_executor_no_cuda.h"
+#include "tensorflow/core/platform/types.h"
+
+namespace xla {
+
+class HloInstruction;
+
+// Describes how much time each HLO operation took.
+//
+// Each HloComputation takes a certain number of cycles.  This class helps break
+// down how much time each HLO took.
+class HloExecutionProfile {
+ public:
+  using DeviceDescription = perftools::gputools::DeviceDescription;
+
+  // Record how many cycles this HLO took to execute.
+  void AddProfileResult(const HloInstruction* hlo, uint64 cycles_taken);
+
+  // Returns how many cycles this HLO took to execute.  Profiling information
+  // may not be available for some instructions in which case zero is returned.
+  uint64 GetProfileResult(const HloInstruction& hlo) const;
+
+  // Return the number of cycles this computation took to execute.
+  uint64 total_cycles_executed() const { return total_cycles_executed_; }
+
+  // Record how many cycles the entire computation took to execute.
+  void set_total_cycles_executed(uint64 total_cycles_executed) {
+    total_cycles_executed_ = total_cycles_executed;
+  }
+
+  // Returns a version of the execution profile suitable for performance
+  // debugging; e.g. emits cycle counts, execution time at the nominal device
+  // frequency, and the effective throughput given the provided cost_analysis
+  // for the operations.
+  string ToString(const DeviceDescription& device_description,
+                  const HloCostAnalysis& cost_analysis) const;
+
+ private:
+  // Contains a mapping from HLO to the number of cycles it took to execute it.
+  std::unordered_map<const HloInstruction*, uint64> hlo_to_cycles_taken_;
+
+  // If non-empty, contains the total number of cycles this computation took to
+  // execute.
+  uint64 total_cycles_executed_ = 0;
+};
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_EXECUTION_PROFILE_H_