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1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_HLO_EXECUTION_PROFILE_H_
17 #define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_EXECUTION_PROFILE_H_
18 
19 #include <unordered_map>
20 #include <vector>
21 
22 #include "tensorflow/compiler/xla/map_util.h"
23 #include "tensorflow/compiler/xla/service/hlo_cost_analysis.h"
24 #include "tensorflow/compiler/xla/service/hlo_execution_profile_data.pb.h"
25 #include "tensorflow/compiler/xla/service/hlo_profile_printer.h"
26 #include "tensorflow/compiler/xla/types.h"
27 #include "tensorflow/core/platform/types.h"
28 
29 namespace xla {
30 
31 class HloInstruction;
32 
33 // Maps all HloInstructions and HloComputations in an HloModule to integers.
34 // These integers form the contiguous range [0, total_count()).
35 class HloProfileIndexMap {
36  public:
37   // Scans `module` to populate this instance of HloProfileIndexMap.
HloProfileIndexMap(const HloModule & module)38   explicit HloProfileIndexMap(const HloModule& module)
39       : HloProfileIndexMap(module, {}) {}
40   explicit HloProfileIndexMap(const HloModule& module,
41                               absl::Span<const string> extra_metrics);
42 
43   HloProfileIndexMap(const HloProfileIndexMap&) = default;
44   HloProfileIndexMap(HloProfileIndexMap&&) = default;
45 
46   HloProfileIndexMap& operator=(const HloProfileIndexMap&) = default;
47   HloProfileIndexMap& operator=(HloProfileIndexMap&&) = default;
48 
GetProfileIndexFor(const HloInstruction & instruction)49   size_t GetProfileIndexFor(const HloInstruction& instruction) const {
50     return FindOrDie(instruction_to_profile_idx(), &instruction);
51   }
52 
GetProfileIndexFor(const HloComputation & computation)53   size_t GetProfileIndexFor(const HloComputation& computation) const {
54     return FindOrDie(computation_to_profile_idx(), &computation);
55   }
56 
GetProfileIndexFor(const string & key)57   size_t GetProfileIndexFor(const string& key) const {
58     return xla::FindOrDie(extra_metric_to_profile_idx(), key);
59   }
60 
instruction_count()61   size_t instruction_count() const {
62     return instruction_to_profile_idx().size();
63   }
64 
computation_count()65   size_t computation_count() const {
66     return computation_to_profile_idx().size();
67   }
68 
extra_metrics_count()69   size_t extra_metrics_count() const {
70     return extra_metric_to_profile_idx().size();
71   }
72 
total_count()73   size_t total_count() const {
74     return instruction_count() + computation_count() + extra_metrics_count();
75   }
76 
77   const std::unordered_map<const HloInstruction*, int64>&
instruction_to_profile_idx()78   instruction_to_profile_idx() const {
79     return instruction_to_profile_idx_;
80   }
81 
82   const std::unordered_map<const HloComputation*, int64>&
computation_to_profile_idx()83   computation_to_profile_idx() const {
84     return computation_to_profile_idx_;
85   }
86 
extra_metric_to_profile_idx()87   const std::unordered_map<string, int64>& extra_metric_to_profile_idx() const {
88     return extra_metric_to_profile_idx_;
89   }
90 
91  private:
92   std::unordered_map<const HloInstruction*, int64> instruction_to_profile_idx_;
93   std::unordered_map<const HloComputation*, int64> computation_to_profile_idx_;
94   std::unordered_map<string, int64> extra_metric_to_profile_idx_;
95 };
96 
97 // Create an instance of `HloProfilePrinterData`.
98 std::unique_ptr<HloProfilePrinterData> CreateHloProfilePrinterData(
99     const HloProfileIndexMap& hlo_profile_index_map,
100     const HloCostAnalysis& cost_analysis, const string& entry_computation_name);
101 
102 // Describes how much time each HLO operation took.
103 //
104 // Each HloComputation takes a certain number of cycles.  This class helps break
105 // down how much time each HLO took.
106 class HloExecutionProfile {
107  public:
108   HloExecutionProfile(const HloProfilePrinterData* hlo_profile_printer_data,
109                       const HloProfileIndexMap* hlo_profile_index_map);
110 
111   // Record how many cycles this HLO took to execute.
112   void SetCyclesTakenBy(const HloInstruction* hlo, uint64 cycles_taken);
113 
114   // Record how many cycles this HLO took to execute.
115   void SetCyclesTakenBy(size_t index, uint64 cycles_taken);
116 
117   // Returns how many cycles this HLO took to execute.  Profiling information
118   // may not be available for some instructions in which case zero is returned.
119   uint64 GetCyclesTakenBy(const HloInstruction& hlo) const;
120 
121   // Returns how many cycles this HLO took to execute.  Profiling information
122   // may not be available for some instructions in which case zero is returned.
123   uint64 GetCyclesTakenBy(size_t index) const;
124 
125   // Return the number of cycles this computation took to execute.
total_cycles_executed(const HloComputation & computation)126   uint64 total_cycles_executed(const HloComputation& computation) const {
127     return profile_counters_[hlo_profile_index_map_.GetProfileIndexFor(
128         computation)];
129   }
130 
131   // Record how many cycles a computation took to execute.
set_total_cycles_executed(const HloComputation & computation,uint64 total_cycles_executed)132   void set_total_cycles_executed(const HloComputation& computation,
133                                  uint64 total_cycles_executed) {
134     profile_counters_[hlo_profile_index_map_.GetProfileIndexFor(computation)] =
135         total_cycles_executed;
136   }
137 
138   // Record extra metric.
set_extra_metrics(const string & metric,uint64 value)139   void set_extra_metrics(const string& metric, uint64 value) {
140     profile_counters_[hlo_profile_index_map_.GetProfileIndexFor(metric)] =
141         value;
142   }
143 
144   // Returns a version of the execution profile suitable for performance
145   // debugging; e.g. emits cycle counts, execution time at the nominal device
146   // frequency, and the effective throughput given the provided cost_analysis
147   // for the operations in a given computation. Returns an empty string if it
148   // wasn't possible to generate a printable version.
ToString(float clock_rate_ghz)149   string ToString(float clock_rate_ghz) const {
150     return PrintHloProfile(hlo_profile_printer_data_, profile_counters_.data(),
151                            clock_rate_ghz);
152   }
153 
mutable_profile_counters()154   std::vector<int64>* mutable_profile_counters() { return &profile_counters_; }
profile_counters()155   const std::vector<int64>& profile_counters() const {
156     return profile_counters_;
157   }
158 
159   HloExecutionProfileData ToProto() const;
160 
161  private:
162   const HloProfilePrinterData& hlo_profile_printer_data_;
163   const HloProfileIndexMap& hlo_profile_index_map_;
164 
165   // Stores per-Hlo profile counters.  This is the only thing that changes when
166   // we execute an XLA computation.
167   std::vector<int64> profile_counters_;
168 };
169 
170 }  // namespace xla
171 
172 #endif  // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_EXECUTION_PROFILE_H_
173