Method RandomShuffleQueue

tensorflow/core/kernels/random_shuffle_queue_op.cc:89–104

};

RandomShuffleQueue::RandomShuffleQueue(
    int32 capacity, int32 min_after_dequeue, int64 seed, int64 seed2,
    const DataTypeVector& component_dtypes,
    const std::vector<TensorShape>& component_shapes, const string& name)
    : TypedQueue(capacity, component_dtypes, component_shapes, name),
      min_after_dequeue_(min_after_dequeue),
      original_seed_(seed),
      original_seed2_(seed2),
      generator_(&parent_generator_) {
  if (seed == 0 && seed2 == 0) {
    // If both seeds are unspecified, use completely random seeds.
    seed = random::New64();
    seed2 = random::New64();
  }
  parent_generator_ = random::PhiloxRandom(seed, seed2);
}

Status RandomShuffleQueue::Initialize() {
  TF_RETURN_IF_ERROR(TypedQueue::Initialize());