minigo/cc/tf_bt_utils.cc at colab · hyu2000/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 <cstdint>

#include "absl/strings/str_cat.h"

#include "absl/strings/str_format.h"

#include "absl/time/clock.h"

#include "absl/time/time.h"

#include "cc/constants.h"

#include "cc/tf_utils.h"

#include "google/cloud/bigtable/data_client.h"

#include "google/cloud/bigtable/read_modify_write_rule.h"

#include "google/cloud/bigtable/table.h"

#include "tensorflow/core/example/example.pb.h"

#include "tensorflow/core/lib/core/status.h"

#include "tensorflow/core/lib/io/record_reader.h"

#include "tensorflow/core/platform/env.h"

#include "tensorflow/core/platform/file_system.h"

#include "tensorflow/core/platform/logging.h"

using google::cloud::bigtable::bigendian64_t;

using google::cloud::bigtable::BulkMutation;

using google::cloud::bigtable::ClientOptions;

using google::cloud::bigtable::CreateDefaultDataClient;

using google::cloud::bigtable::ReadModifyWriteRule;

using google::cloud::bigtable::SetCell;

using google::cloud::bigtable::SingleRowMutation;

using google::cloud::bigtable::Table;

using tensorflow::io::RecordReaderOptions;

using tensorflow::io::SequentialRecordReader;

namespace minigo {

namespace tf_utils {

const char kGameRowFormat[] = "g_%010d";

const char kEvalGameRowFormat[] = "e_%010d";

const char kPrefixAndMoveFormat[] = "%s_m_%03d";

// Fetches the tensorflow Examples from a MctsPlayer.

// Linked from tf_utils.cc

// TODO(tommadams): Move this declaration into a header file.

std::vector<tensorflow::Example> MakeExamples(const Game& game);

void UpdateMoveCountForGame(BulkMutation& game_batch,

const std::string& game_prefix, int move_count) {

auto zero_row = absl::StrFormat(kPrefixAndMoveFormat, game_prefix, 0);

auto move_count_str = absl::StrCat(move_count);

auto count_row =

absl::StrCat("ct_", game_prefix.substr(2), "_", move_count_str);

SingleRowMutation zero_row_mut(zero_row);

zero_row_mut.emplace_back(SetCell("metadata", "move_count", move_count_str));

game_batch.emplace_back(std::move(zero_row_mut));

SingleRowMutation count_row_mut(count_row);

count_row_mut.emplace_back(SetCell("metadata", "move_count", move_count_str));

game_batch.emplace_back(std::move(count_row_mut));

}

// Writes a list of tensorflow Example protos to a series of Bigtable rows.

void WriteTfExamples(Table& table, const std::string& row_prefix,

const std::vector<tensorflow::Example>& examples) {

BulkMutation game_batch;

int move_number = 0;

for (const auto& example : examples) {

std::string data;

example.SerializeToString(&data);

auto row_name =

absl::StrFormat(kPrefixAndMoveFormat, row_prefix, move_number);

SingleRowMutation row_mutation(row_name);

row_mutation.emplace_back(SetCell("tfexample", "example", data));

row_mutation.emplace_back(

SetCell("metadata", "move", std::to_string(move_number)));

game_batch.emplace_back(std::move(row_mutation));

move_number++;

}

UpdateMoveCountForGame(game_batch, row_prefix, move_number);

table.BulkApply(std::move(game_batch));

}

void WriteGameExamples(const std::string& gcp_project_name,

const std::string& instance_name,

const std::string& table_name,

Model::FeatureType feature_type, const Game& game) {

auto examples = MakeExamples(feature_type, game);

Table table(

CreateDefaultD 8000 ataClient(gcp_project_name, instance_name, ClientOptions()),

table_name);

// This will be everything from a single game, so retrieve the game

// counter from the Bigtable and increment it atomically.

uint64_t game_counter = IncrementGameCounter(gcp_project_name, instance_name,

table_name, "game_counter", 1);

auto row_prefix = absl::StrFormat(kGameRowFormat, game_counter);

WriteTfExamples(table, row_prefix, examples);

int bleakest_move = 0;

float bleakest_q = 0.0;

if (game.FindBleakestMove(&bleakest_move, &bleakest_q)) {

auto bleak_row_name =

absl::StrFormat(kPrefixAndMoveFormat, row_prefix, bleakest_move);

SingleRowMutation row_mutation(bleak_row_name);

row_mutation.emplace_back(

SetCell("metadata", "bleakest_q", absl::StrCat(bleakest_q)));

table.Apply(std::move(row_mutation));

}

MG_LOG(INFO) << "Bigtable rows written to prefix " << row_prefix << " : "

<< examples.size();

}

void WriteEvalRecord(const std::string& gcp_project_name,

const std::string& instance_name,

const std::string& table_name, const Game& game,

const std::string& sgf_name, const std::string& tag) {

Table table(

CreateDefaultDataClient(gcp_project_name, instance_name, ClientOptions()),

table_name);

// Retrieve the game counter from the Bigtable and increment it atomically.

uint64_t game_counter = IncrementGameCounter(

gcp_project_name, instance_name, table_name, "eval_game_counter", 1);

auto row_name = absl::StrFormat(kEvalGameRowFormat, game_counter);

SingleRowMutation row_mutation(

row_name, SetCell("metadata", "black", game.black_name()),

SetCell("metadata", "white", game.white_name()),

SetCell("metadata", "black_won", absl::StrCat(game.result() > 0)),

SetCell("metadata", "white_won", absl::StrCat(game.result() < 0)),

SetCell("metadata", "result", game.result_string()),

SetCell("metadata", "length", absl::StrCat(game.moves().size())),

SetCell("metadata", "sgf", sgf_name), SetCell("metadata", "tag", tag));

table.Apply(std::move(row_mutation));

MG_LOG(INFO) << "Bigtable eval row written to " << row_name;

}

uint64_t IncrementGameCounter(const std::string& gcp_project_name,

const std::string& instance_name,

const std::string& table_name,

const std::string& counter_name, size_t delta) {

Table table(

CreateDefaultDataClient(gcp_project_name, instance_name, ClientOptions()),

table_name);

auto rule =

ReadModifyWriteRule::IncrementAmount("metadata", counter_name, delta);

auto row = table.ReadModifyWriteRow("table_state", rule);

// TODO(sethtroisi): Investigate if row.cells().size() == 1.

for (auto const& cell : row.cells()) {

if (cell.family_name() == "metadata" &&

cell.column_qualifier() == counter_name) {

return cell.value_as<bigendian64_t>().get();

}

MG_LOG(FATAL) << "Failed to increment table_state=metadata:" << counter_name;

return 0;

}

void PortGamesToBigtable(const std::string& gcp_project_name,

const std::string& instance_name,

const std::string& table_name,

const std::vector<std::string>& paths,

int64_t game_counter) {

auto client_options = ClientOptions();

auto channel_args = client_options.channel_arguments();

channel_args.SetUserAgentPrefix("minigo_to_cbt");

channel_args.SetInt(GRPC_ARG_ENABLE_CENSUS, 0);

channel_args.SetInt(GRPC_ARG_KEEPALIVE_PERMIT_WITHOUT_CALLS, 0);

channel_args.SetInt(GRPC_ARG_KEEPALIVE_TIMEOUT_MS, 60 * 1000);

client_options.set_channel_arguments(channel_args);

Table table(

CreateDefaultDataClient(gcp_project_name, instance_name, client_options),

table_name);

if (game_counter < 0) {

if (paths.size() != 1) {

MG_LOG(FATAL) << "Atomic game updates require batch size of 1 game";

return;

}

MG_LOG(FATAL) << "Have not yet implemented atomic game counter update.";

return;

}

BulkMutation game_batch;

auto start_time = absl::Now();

int changes = 0;

for (const auto& path : paths) {

std::unique_ptr<tensorflow::RandomAccessFile> file;

TF_CHECK_OK(tensorflow::Env::Default()->NewRandomAccessFile(path, &file));

RecordReaderOptions options;

options.compression_type = RecordReaderOptions::ZLIB_COMPRESSION;

SequentialRecordReader reader(file.get(), options);

auto row_prefix = absl::StrFormat(kGameRowFormat, game_counter);

// Transforms something like:

// gs://minigo/data/play/2018-10-14-13/1539522000-8x7lb.tfrecord.zz

// into:

// 2018-10-14-13-1539522000-8x7lb

auto game_id = path;

game_id.erase(game_id.rfind(".tfrecord.zz"));

game_id[game_id.rfind('/')] = '-';

game_id.erase(0, game_id.rfind('/') + 1);

auto zero_row = absl::StrFormat(kPrefixAndMoveFormat, row_prefix, 0);

SingleRowMutation zero_row_mutation(zero_row);

zero_row_mutation.emplace_back(SetCell("metadata", "game_id", game_id));

game_batch.emplace_back(std::move(zero_row_mutation));

std::string data;

int move_number = 0;

while (reader.ReadRecord(&data).ok()) {

auto row_name =

absl::StrFormat(kPrefixAndMoveFormat, row_prefix, move_number);

SingleRowMutation row_mutation(row_name);

row_mutation.emplace_back(SetCell("tfexample", "example", data));

row_mutation.emplace_back(

SetCell("metadata", "move", std::to_string(move_number)));

game_batch.emplace_back(std::move(row_mutation));

move_number++;

changes++;

}

UpdateMoveCountForGame(game_batch, row_prefix, move_number);

game_counter++;

}

table.BulkApply(std::move(game_batch));

auto finish_time = absl::Now();

double elapsed = absl::ToDoubleSeconds(finish_time - start_time);

VLOG(2) << "Total changes: " << changes << " at " << changes / elapsed

<< " changes/second";

VLOG(2) << "Total games: " << paths.size() << " at " << paths.size() / elapsed

<< " games/second";

}

} // namespace tf_utils

} // namespace minigo

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