text: /* Copyright 2015 Google Inc. 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.
  ==============================================================================*/
  
  #include "tensorflow/core/graph/tensor_id.h"
  #include <vector>
  #include "tensorflow/core/lib/random/simple_philox.h"
  #include "tensorflow/core/platform/logging.h"
  #include "tensorflow/core/platform/test.h"
  #include "tensorflow/core/platform/test_benchmark.h"
  
  namespace tensorflow {
  namespace {
  
  static string ParseHelper(const string& n) {
    TensorId id = ParseTensorName(n);
    return strings::StrCat(id.first, ":", id.second);
  }
  
  TEST(TensorIdTest, ParseTensorName) {
    EXPECT_EQ(ParseHelper("W1"), "W1:0");
    EXPECT_EQ(ParseHelper("weights:0"), "weights:0");
    EXPECT_EQ(ParseHelper("W1:1"), "W1:1");
    EXPECT_EQ(ParseHelper("W1:17"), "W1:17");
    EXPECT_EQ(ParseHelper("xyz1_17"), "xyz1_17:0");
  }
  
  static uint32 Skewed(random::SimplePhilox* rnd, int max_log) {
    const uint32 space = 1 << (rnd->Rand32() % (max_log + 1));
    return rnd->Rand32() % space;
  }
  
  static void BM_ParseTensorName(int iters, int arg) {
    testing::StopTiming();
    random::PhiloxRandom philox(301, 17);
    random::SimplePhilox rnd(&philox);
    std::vector<string> names;
    for (int i = 0; i < 100; i++) {
      string name;
      switch (arg) {
        case 0: {  // Generate random names
          size_t len = Skewed(&rnd, 4);
          while (name.size() < len) {
            name += rnd.OneIn(4) ? '0' : 'a';
          }
          if (rnd.OneIn(3)) {
            strings::StrAppend(&name, ":", rnd.Uniform(12));
          }
          break;
        }
        case 1:
          name = "W1";
          break;
        case 2:
          name = "t0003";
          break;
        case 3:
          name = "weights";
          break;
        case 4:
          name = "weights:17";
          break;
        default:
          LOG(FATAL) << "Unexpected arg";
          break;
      }
      names.push_back(name);
    }
    testing::StartTiming();
    TensorId id;
    int index = 0;
    int sum = 0;
    while (--iters > 0) {
      id = ParseTensorName(names[index++ % names.size()]);
      sum += id.second;
    }
    VLOG(2) << sum;  // Prevent compiler from eliminating loop body
  }
  BENCHMARK(BM_ParseTensorName)->Arg(0)->Arg(1)->Arg(2)->Arg(3)->Arg(4);
  
  }  // namespace
  }  // namespace tensorflow
  