Integrate muditj/FixNoRandomizerBug3 into master
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@ -45,7 +45,7 @@ void LTNoRandomizer::RefillSequenceWindow(SequenceWindow& window)
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std::swap(window.m_sequences[workerSequencePosition++], window.m_sequences[i]);
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}
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window.m_sequences.erase(window.m_sequences.begin() + workerSequencePosition);
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window.m_sequences.erase(window.m_sequences.begin() + workerSequencePosition, window.m_sequences.end());
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}
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// If last chunk, add the sweep marker.
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@ -8,6 +8,7 @@
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#include <random>
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#include <set>
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#include "NoRandomizer.h"
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#include "LTNoRandomizer.h"
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#include "DataDeserializer.h"
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#include "BlockRandomizer.h"
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#include "CorpusDescriptor.h"
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@ -38,6 +39,7 @@ BOOST_AUTO_TEST_SUITE(ReaderLibTests)
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class MockChunk : public Chunk
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{
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private:
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ChunkIdType m_chunkId;
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size_t m_chunkBegin;
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size_t m_chunkEnd;
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NDShape m_sampleShape;
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@ -45,8 +47,9 @@ private:
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vector<vector<float>>& m_sequenceData;
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public:
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MockChunk(size_t chunkBegin, size_t chunkEnd, vector<vector<float>>& sequenceData, uint32_t sequenceLength)
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: m_chunkBegin(chunkBegin),
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MockChunk(ChunkIdType chunkdId, size_t chunkBegin, size_t chunkEnd, vector<vector<float>>& sequenceData, uint32_t sequenceLength)
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: m_chunkId(chunkdId),
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m_chunkBegin(chunkBegin),
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m_chunkEnd(chunkEnd),
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m_sampleShape(NDShape({ 1 })),
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m_sequenceLength(sequenceLength),
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@ -65,9 +68,20 @@ public:
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data->m_data = &m_sequenceData[sequenceId][0];
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data->m_numberOfSamples = m_sequenceLength;
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data->m_sampleShape = m_sampleShape;
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data->m_key.m_sequence = sequenceId;
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result.push_back(data);
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}
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virtual void SequenceInfos(std::vector<SequenceInfo>& sequenceToFill) override
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{
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unsigned int numberOfSamples = 1;
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for (size_t seqGlobalIdx = m_chunkBegin; seqGlobalIdx < m_chunkEnd; seqGlobalIdx++)
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{
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SequenceInfo seq{ seqGlobalIdx, numberOfSamples, m_chunkId, SequenceKey(seqGlobalIdx,0) };
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sequenceToFill.push_back(seq);
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}
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}
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~MockChunk() override {};
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};
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@ -138,7 +152,7 @@ public:
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assert(chunkId < m_numChunks);
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size_t chunkBegin = chunkId * m_numSequencesPerChunk;
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size_t chunkEnd = chunkBegin + m_numSequencesPerChunk;
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shared_ptr<Chunk> chunk = make_shared<MockChunk>(chunkBegin, chunkEnd, m_sequenceData, m_sequenceLength);
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shared_ptr<Chunk> chunk = make_shared<MockChunk>(chunkId, chunkBegin, chunkEnd, m_sequenceData, m_sequenceLength);
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return chunk;
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}
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@ -974,6 +988,44 @@ BOOST_AUTO_TEST_CASE(CheckGetCurrentCursorForRandomizers)
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test(noRandomizer, epochSize);
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}
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// Check that each worker reads unique sequences. A bug was causing duplicate sequences in workers.
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BOOST_AUTO_TEST_CASE(LTNoRandomizerCheckNoDuplicateSequence)
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{
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auto num_chunks = 2;
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auto num_sequences = 10;
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size_t num_workers = 2;
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vector<float> input(num_sequences * num_chunks);
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iota(input.begin(), input.end(), 0.0f);
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for (int i = 0; i < num_workers; ++i)
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{
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auto mockDeserializer = make_shared<MockDeserializer>(num_chunks, num_sequences, input);
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auto randomizer = make_shared<LTNoRandomizer>(mockDeserializer, false);
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EpochConfiguration config;
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config.m_allowMinibatchesToCrossSweepBoundaries = true;
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config.m_numberOfWorkers = num_workers;
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config.m_minibatchSizeInSamples = 10;
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config.m_truncationSize = 1;
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config.m_totalEpochSizeInSweeps = 1;
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config.m_epochIndex = 0;
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config.m_workerRank = i;
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randomizer->StartEpoch(config);
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Sequences sequences = randomizer->GetNextSequences(1, 10);
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BOOST_CHECK_EQUAL(sequences.m_data.size(), 1);
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for (size_t j = 0; j < sequences.m_data[0].size(); j++)
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{
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shared_ptr<MockDenseSequenceData> sequence = std::dynamic_pointer_cast<MockDenseSequenceData>(sequences.m_data[0][j]);
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// Worker 0 should have data 0,2,4 ..,10,12 .. 18
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// Worker 1 should have data 1,3,5 ..,11,13 .. 19
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// Sequence should keys follow the same pattern.
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BOOST_CHECK_EQUAL(*(static_cast<float*>(sequence->m_data)), (float)i + j * 2);
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BOOST_CHECK_EQUAL(sequence->m_key.m_sequence, i + j * 2);
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}
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}
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}
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BOOST_AUTO_TEST_CASE(DefaultCorpusDescriptor)
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{
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const int seed = 13;
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