minigo/cc/eval.cc at mlperf.0.6 · sethips/minigo

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// 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 <stdio.h>

#include <cmath>

#include <functional>

#include <iostream>

#include <memory>

#include <string>

#include <thread>

#include <utility>

#include <vector>

#include "absl/memory/memory.h"

#include "absl/strings/str_cat.h"

#include "absl/strings/str_format.h"

#include "absl/strings/str_split.h"

#include "absl/time/clock.h"

#include "absl/time/time.h"

#include "cc/constants.h"

#include "cc/dual_net/batching_dual_net.h"

#include "cc/dual_net/factory.h"

#include "cc/file/path.h"

#include "cc/file/utils.h"

#include "cc/game.h"

#include "cc/game_utils.h"

#include "cc/init.h"

#include "cc/logging.h"

#include "cc/mcts_player.h"

#include "cc/random.h"

#include "cc/tf_utils.h"

#include "cc/zobrist.h"

#include "gflags/gflags.h"

// Game options flags.

DEFINE_double(resign_threshold, -0.999, "Resign threshold.");

DEFINE_uint64(seed, 0,

"Random seed. Use default value of 0 to use a time-based seed.");

// Tree search flags.

DEFINE_int32(num_readouts, 100,

"Number of readouts to make during tree search for each move.");

DEFINE_int32(virtual_losses, 8,

"Number of virtual losses when running tree search.");

DEFINE_double(value_init_penalty, 2.0,

"New children value initialization penalty.\n"

"Child value = parent's value - penalty * color, clamped to"

" [-1, 1]. Penalty should be in [0.0, 2.0].\n"

"0 is init-to-parent, 2.0 is init-to-loss [default].\n"

"This behaves similiarly to Leela's FPU \"First Play Urgency\".");

// Inference flags.

DEFINE_string(model, "",

"Path to a minigo model. The format of the model depends on the "

"inference engine. If parallel_games=1, this model is used for "

"black. For engine=tf, the model should be a GraphDef proto. For "

"engine=lite, the model should be .tflite flatbuffer.");

DEFINE_string(model_two, "", "Descriptor for the second model");

DEFINE_int32(parallel_games, 32, "Number of games to play in parallel.");

// Output flags.

DEFINE_string(output_bigtable, "",

"Output Bigtable specification, of the form: "

"project,instance,table. "

"If empty, no examples are written to Bigtable.");

DEFINE_string(sgf_dir, "",

"SGF directory for selfplay and puzzles. If empty in selfplay "

"mode, no SGF is written.");

DEFINE_string(bigtable_tag, "", "Used in Bigtable metadata");

namespace minigo {

namespace {

void ParseOptionsFromFlags(Game::Options* game_options,

MctsPlayer::Options* player_options) {

game_options->resign_threshold = -std::abs(FLAGS_resign_threshold);

game_options->ignore_repeated_moves = true;

player_options->virtual_losses = FLAGS_virtual_losses;

player_options->random_seed = FLAGS_seed;

player_options->num_readouts = FLAGS_num_readouts;

player_options->inject_noise = false;

player_options->soft_pick = false;

player_options->random_symmetry = true;

}

class Evaluator {

class Model {

public:

Model(BatchingDualNetFactory* batcher, const std::string& path)

: batcher_(batcher), path_(path) {}

BatchingDualNetFactory* batcher() { return batcher_; }

std::string name() {

absl::MutexLock lock(&mutex_);

if (name_.empty()) {

// The model's name is lazily initialized the first time we create a

// instance. Make sure it's valid.

NewDualNetImpl();

}

return name_;

}

WinStats GetWinStats() const {

absl::MutexLock lock(&mutex_);

return win_stats_;

}

void UpdateWinStats(const Game& game) {

absl::MutexLock lock(&mutex_);

win_stats_.Update(game);

}

std::unique_ptr<DualNet> NewDualNet() {

absl::MutexLock lock(&mutex_);

return NewDualNetImpl();

}

private:

std::unique_ptr<DualNet> NewDualNetImpl() EXCLUSIVE_LOCKS_REQUIRED(&mutex_) {

auto dual_net = batcher_->NewDualNet(path_);

if (name_.empty()) {

name_ = dual_net->name();

}

return dual_net;

}

mutable absl::Mutex mutex_;

BatchingDualNetFactory* batcher_ GUARDED_BY(&mutex_);

const std::string path_;

std::string name_ GUARDED_BY(&mutex_);

WinStats win_stats_ GUARDED_BY(&mutex_);

};

public:

Evaluator(ModelDescriptor desc_a, ModelDescriptor desc_b)

: desc_a_(std::move(desc_a)), desc_b_(std::move(desc_b)) {

// Create a batcher for the first model.

batchers_.push_back(absl::make_unique<BatchingDualNetFactory>(

NewDualNetFactory(desc_a_.engine)));

// If the second model requires a different factory, create one & a second

// batcher too.

if (desc_b_.engine != desc_a_.engine) {

batchers_.push_back(absl::make_unique<BatchingDualNetFactory>(

NewDualNetFactory(desc_b_.engine)));

}

void Run() {

auto start_time = absl::Now();

Model model_a(batchers_.front().get(), desc_a_.model);

Model model_b(batchers_.back().get(), desc_b_.model);

MG_LOG(INFO) << "DualNet factories created from " << desc_a_ << "\n and "

<< desc_b_ << " in "

<< absl::ToDoubleSeconds(absl::Now() - start_time) << " sec.";

ParseOptionsFromFlags(&game_options_, &player_options_);

int num_games = FLAGS_parallel_games;

for (int thread_id = 0; thread_id < num_games; ++thread_id) {

bool swap_models = (thread_id & 1) != 0;

threads_.emplace_back(std::bind(&Evaluator::ThreadRun, this, thread_id,

swap_models ? &model_b : &model_a,

swap_models ? &model_a : &model_b));

}

for (auto& t : threads_) {

t.join();

}

MG_LOG(INFO) << "Evaluated " << num_games << " games, total time "

<< (absl::Now() - start_time);

MG_LOG(INFO) << FormatWinStatsTable(

{{model_a.name(), model_a.GetWinStats()},

{model_b.name(), model_b.GetWinStats()}});

}

private:

void ThreadRun(int thread_id, Model* black_model, Model* white_model) {

// Only print the board using ANSI colors if stderr is sent to the

// terminal.

const bool use_ansi_colors = FdSupportsAnsiColors(fileno(stderr));

// The player and other_player reference this pointer.

std::unique_ptr<DualNet> dual_net;

std::vector<std::string> bigtable_spec =

absl::StrSplit(FLAGS_output_bigtable, ',');

bool use_bigtable = bigtable_spec.size() == 3;

if (!FLAGS_output_bigtable.empty() && !use_bigtable) {

MG_LOG(FATAL)

<< "Bigtable output must be of the form: project,instance,table";

return;

}

Game game(black_model->name(), white_model->name(), game_options_);

auto player_options = player_options_;

// If an random seed was explicitly specified, make sure we use a

// different seed for each thread.

if (player_options.random_seed != 0) {

player_options.random_seed += 1299283 * thread_id;

}

const bool verbose = thread_id == 0;

player_options.verbose = false;

auto black = absl::make_unique<MctsPlayer>(

black_model->NewDualNet(), nullptr, &game, player_options);

player_options.verbose = false;

auto white = absl::make_unique<MctsPlayer>(

white_model->NewDualNet(), nullptr, &game, player_options);

BatchingDualNetFactory::StartGame(black->network(), white->network());

auto* curr_player = black.get();

auto* next_player = white.get();

while (!game.game_over() && !curr_player->root()->at_move_limit()) {

auto move = curr_player->SuggestMove();

if (verbose) {

std::cerr << curr_player->root()->Describe() << "\n";

}

curr_player->PlayMove(move);

if (!game.game_over()) {

next_player->PlayMove(move);

}

if (verbose) {

MG_LOG(INFO) << absl::StreamFormat(

"%d: %s by %s\nQ: %0.4f", curr_player->root()->position.n(),

move.ToGtp(), curr_player->name(), curr_player->root()->Q());

MG_LOG(INFO) << curr_player->root()->position.ToPrettyString(

use_ansi_colors);

}

std::swap(curr_player, next_player);

}

BatchingDualNetFactory::EndGame(black->network(), white->network());

if (game.result() > 0) {

black_model->UpdateWinStats(game);

} else {

white_model->UpdateWinStats(game);

}

if (verbose) {

MG_LOG(INFO) << game.result_string();

MG_LOG(INFO) << "Black was: " << game.black_name();

}

// Write SGF.

std::string output_name = "NO_SGF_SAVED";

if (!FLAGS_sgf_dir.empty()) {

output_name = absl::StrCat(GetOutputName(absl::Now(), thread_id), "-",

black->name(), "-", white->name());

game.AddComment(

absl::StrCat("B inferences: ", black->GetModelsUsedForInference()));

game.AddComment(

absl::StrCat("W inferences: ", white->GetModelsUsedForInference()));

WriteSgf(FLAGS_sgf_dir, output_name, game, true);

}

if (use_bigtable) {

const auto& gcp_project_name = bigtable_spec[0];

const auto& instance_name = bigtable_spec[1];

const auto& table_name = bigtable_spec[2];

tf_utils::WriteEvalRecord(gcp_project_name, instance_name, table_name,

game, output_name, FLAGS_bigtable_tag);

}

MG_LOG(INFO) << "Thread " << thread_id << " stopping";

}

Game::Options game_options_;

MctsPlayer::Options player_options_;

std::vector<std::thread> threads_;

const ModelDescriptor desc_a_;

const ModelDescriptor desc_b_;

std::vector<std::unique_ptr<BatchingDualNetFactory>> batchers_;

};

} // namespace

} // namespace minigo

int main(int argc, char* argv[]) {

minigo::Init(&argc, &argv);

minigo::zobrist::Init(FLAGS_seed * 614944751);

minigo::Evaluator evaluator(minigo::ParseModelDescriptor(FLAGS_model),

minigo::ParseModelDescriptor(FLAGS_model_two));

evaluator.Run();

return 0;

}

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