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120 lines
3.8 KiB
120 lines
3.8 KiB
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <unistd.h>
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#include "paddle/utils/Logging.h"
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#include "paddle/utils/Flags.h"
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#include "SparseParameterDistribution.h"
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P_DEFINE_bool(check_sparse_distribution_in_pserver, false,
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"check whether sparse parameter exhibts balanced distribution at "
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"all pservers");
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P_DEFINE_bool(show_check_sparse_distribution_log, false,
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"show logs details for sparse parameter distribution in pserver");
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P_DEFINE_int32(check_sparse_distribution_batches, 100,
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"run sparse parameter distribution check for N batches");
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P_DEFINE_double(
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check_sparse_distribution_ratio, 0.6,
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"if parameters dispatched to different pservers exhibit unbalanced "
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" distribution for check_sparse_distribution_ratio * "
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" check_sparse_distribution_batches times, crash program");
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P_DEFINE_double(check_sparse_distribution_unbalance_degree, 2.0,
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"the ratio of maximum data size and minimun data size for "
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"different pserver");
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namespace paddle {
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SparseParameterDistribution::SparseParameterDistribution(size_t serviceNum) {
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totBytes_ = 0;
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data_.resize(serviceNum);
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batchPassed_ = 0;
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unbalanceCnt_ = 0;
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}
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void SparseParameterDistribution::probeDistribution(int serverId,
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size_t dataSize) {
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if (!FLAGS_check_sparse_distribution_in_pserver ||
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batchPassed_ > FLAGS_check_sparse_distribution_batches) {
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return;
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}
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CHECK_LT((size_t)serverId, data_.size())
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<< "invalid sparse parameter distribution probe";
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data_[serverId] += dataSize;
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totBytes_ += dataSize;
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}
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void SparseParameterDistribution::checkAndResetDistribution() {
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if (!FLAGS_check_sparse_distribution_in_pserver ||
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batchPassed_ >= FLAGS_check_sparse_distribution_batches) {
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return;
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}
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/// at runtime, prepareSendData is called by many contexts,
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/// so need to check if data is avaiable.
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if (!totBytes_) {
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return;
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}
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/// check if distribution is balanced
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auto avgSize = totBytes_ / data_.size();
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auto unbalanceDegree = FLAGS_check_sparse_distribution_unbalance_degree;
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for (auto& dataSize : data_) {
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if (dataSize > unbalanceDegree * avgSize ||
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dataSize * unbalanceDegree < avgSize) {
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unbalanceCnt_++;
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break;
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}
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}
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auto printData = [&]() {
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std::stringstream ss;
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for (auto& dataSize : data_) {
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ss << dataSize * 0.001 << "KB ";
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}
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ss << std::endl;
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LOG(INFO) << ss.str();
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};
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/// show all sparse data size for different pserver
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if (FLAGS_show_check_sparse_distribution_log) {
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LOG(INFO) << "sparse distribution:";
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printData();
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}
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totBytes_ = 0;
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batchPassed_++;
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if (batchPassed_ == FLAGS_check_sparse_distribution_batches) {
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LOG(INFO) << "show last parameter distribution sample:";
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printData();
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LOG(INFO) << "total unbalanced batches: " << unbalanceCnt_
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<< " in passed batches: " << batchPassed_;
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CHECK_LE((float)unbalanceCnt_ / (float)batchPassed_,
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FLAGS_check_sparse_distribution_ratio)
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<< "unbalanced sparse parameter distribution for different pserver. "
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<< "it could be caused by unbalanced sparse ids distribution, try "
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<< "to shuffle dimensions in input samples";
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}
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std::fill(data_.begin(), data_.end(), 0);
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}
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} // namespace paddle
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