Use mt19937 instead of rand()
This commit is contained in:
Zhou Wang
Родитель
705951a4c0
Коммит
86ec025f32
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@ -30,6 +30,9 @@
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<HasOpenCv>false</HasOpenCv>
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<HasOpenCv Condition="Exists('$(OPENCV_PATH)') Or Exists('$(OPENCV_PATH_V31)')">true</HasOpenCv>
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<HasBoost>false</HasBoost>
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<HasBoost Condition="Exists('$(BOOST_INCLUDE_PATH)') And Exists('$(BOOST_LIB_PATH)')">true</HasBoost>
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<UseZip>false</UseZip>
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<UseZip Condition="Exists('$(ZLIB_PATH)')">true</UseZip>
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</PropertyGroup>
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5
Makefile
5
Makefile
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@ -711,6 +711,9 @@ endif
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########################################
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ifdef OPENCV_PATH
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ifdef BOOST_PATH
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INCLUDEPATH += $(BOOST_PATH)/include
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IMAGE_READER_LIBS += -lopencv_core -lopencv_imgproc -lopencv_imgcodecs
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@ -741,6 +744,7 @@ $(IMAGEREADER): $(IMAGEREADER_OBJ) | $(CNTKMATH_LIB)
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@echo $(SEPARATOR)
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$(CXX) $(LDFLAGS) -shared $(patsubst %,-L%, $(LIBDIR) $(LIBPATH)) $(patsubst %,$(RPATH)%, $(ORIGINDIR) $(LIBPATH)) -o $@ $^ -l$(CNTKMATH) $(IMAGE_READER_LIBS)
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endif
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endif
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########################################
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# 1bit SGD setup
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@ -839,7 +843,6 @@ UNITTEST_READER_SRC = \
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$(SOURCEDIR)/../Tests/UnitTests/ReaderTests/HTKLMFReaderTests.cpp \
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$(SOURCEDIR)/../Tests/UnitTests/ReaderTests/ImageReaderTests.cpp \
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$(SOURCEDIR)/../Tests/UnitTests/ReaderTests/ReaderLibTests.cpp \
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$(SOURCEDIR)/../Tests/UnitTests/ReaderTests/UCIFastReaderTests.cpp \
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$(SOURCEDIR)/../Tests/UnitTests/ReaderTests/stdafx.cpp \
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$(SOURCEDIR)/Readers/CNTKTextFormatReader/Indexer.cpp \
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$(SOURCEDIR)/Readers/CNTKTextFormatReader/TextParser.cpp \
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@ -127,9 +127,10 @@
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<ClCompile Include="ZipByteReader.cpp" />
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<Target Name="Build" Condition="$(HasOpenCv)" Outputs="$(TargetPath)" DependsOnTargets="$(BuildDependsOn)" />
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<Target Name="Build" Condition="$(HasOpenCv) And $(HasBoost)" Outputs="$(TargetPath)" DependsOnTargets="$(BuildDependsOn)" />
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<ImportGroup Label="ExtensionTargets" />
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<Target Name="CheckDependencies">
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<Warning Condition="!$(HasBoost)" Text="ImageReader requires the Boost library to build. Please see https://github.com/Microsoft/CNTK/wiki/Setup-CNTK-on-Windows#boost for installation instructions." />
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<Warning Condition="!$(HasOpenCv)" Text="ImageReader requires the OpenCV library to build. Please see https://github.com/Microsoft/CNTK/wiki/Setup-CNTK-on-Windows#opencv for installation instructions." />
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<Warning Condition="!$(UseZip)" Text="zlib and libzip libraries were not found, ImageReader will be built without zip container support. Please see https://github.com/Microsoft/CNTK/wiki/Setup-CNTK-on-Windows#libzip for installation instructions." />
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</Target>
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@ -7,14 +7,13 @@
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#include <algorithm>
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#include <unordered_map>
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#include <random>
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#include <boost/random/bernoulli_distribution.hpp>
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#include <boost/random/normal_distribution.hpp>
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#include "ImageTransformers.h"
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#include "Config.h"
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#include "ConcStack.h"
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#include "StringUtil.h"
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#include "ElementTypeUtils.h"
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#include <boost/random/bernoulli_distribution.hpp>
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#include <boost/random/normal_distribution.hpp>
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namespace Microsoft { namespace MSR { namespace CNTK
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{
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@ -26,10 +26,6 @@
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</PropertyGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
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<Import Project="$(SolutionDir)\CNTK.Cpp.props" />
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<PropertyGroup>
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<HasBoost>false</HasBoost>
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<HasBoost Condition="Exists('$(BOOST_INCLUDE_PATH)') And Exists('$(BOOST_LIB_PATH)')">true</HasBoost>
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</PropertyGroup>
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<PropertyGroup Label="Configuration">
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<ConfigurationType>Application</ConfigurationType>
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<PlatformToolset>v120</PlatformToolset>
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@ -41,18 +41,6 @@
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<CharacterSet>Unicode</CharacterSet>
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<UseOfMfc>false</UseOfMfc>
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</PropertyGroup>
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<Choose>
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<When Condition="Exists('$(BOOST_INCLUDE_PATH)') And Exists('$(BOOST_LIB_PATH)')">
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<PropertyGroup>
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<HasBoost>true</HasBoost>
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</PropertyGroup>
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</When>
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<Otherwise>
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<PropertyGroup>
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<HasBoost>false</HasBoost>
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</PropertyGroup>
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</Otherwise>
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</Choose>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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<ImportGroup Condition="$(GpuBuild)" Label="ExtensionSettings">
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<Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA $(CudaVersion).props" />
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@ -7,13 +7,13 @@
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#include <array>
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#include <random>
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#include <numeric>
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#include <boost/random/normal_distribution.hpp>
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#include "../../../Source/Math/Matrix.h"
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#include "../../../Source/Math/CPUMatrix.h"
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#include "../../../Source/Math/GPUMatrix.h"
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#include "../../../Source/Math/BatchNormalizationEngine.h"
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#include "../../../Source/Math/CuDnnFactories.h"
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#include "common.h"
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#include <boost/random/normal_distribution.hpp>
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namespace Microsoft { namespace MSR { namespace CNTK { namespace Test {
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@ -203,92 +203,6 @@ BOOST_AUTO_TEST_CASE(BatchNormalizationForward)
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}
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}
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//
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//BOOST_AUTO_TEST_CASE(BatchNormalizationForwardInferenceCpu)
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//{
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// if (!IsCuDnnSupported())
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// return;
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//
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// std::mt19937 rng(0);
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// boost::random::normal_distribution<float> nd;
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//
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// auto initMat = [&](SingleMatrix& buf, size_t r, size_t c, vec& data) -> SingleMatrix
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// {
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// data.resize(r * 3 * c);
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// std::fill(begin(data), end(data), std::numeric_limits<float>::quiet_NaN());
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// std::generate(begin(data) + r * c, begin(data) + 2 * r * c, [&] { return nd(rng); });
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// buf.SetValue(r, 3 * c, buf.GetDeviceId(), data.data());
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// // Get center slice.
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// return buf.ColumnSlice(c, c);
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// };
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//
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// int deviceId = -1;
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// int cudnnDeviceId = deviceId < 0 ? 0 : deviceId;
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// auto fact = ConvFact::Create(cudnnDeviceId, ConvFact::EngineType::CuDnn, ImageLayoutKind::CHW);
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// auto engCudnn = fact->CreateConvEngine(cudnnDeviceId, ImageLayoutKind::CHW, 0, BatchNormImpl::CuDnn);
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// auto testFact = ConvFact::Create(deviceId, ConvFact::EngineType::Auto, ImageLayoutKind::CHW);
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// auto engCntk = testFact->CreateConvEngine(deviceId, ImageLayoutKind::CHW, 0, BatchNormImpl::Cntk);
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// for (auto& cfg : GenerateBNTestConfigs(*fact))
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// {
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// auto& t = *std::move(std::get<0>(cfg));
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// bool spatial = std::get<1>(cfg);
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//
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// size_t crow = t.w() * t.h() * t.c();
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// size_t ccol = t.n();
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//
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// vec buf(crow * t.n());
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// std::generate(begin(buf), end(buf), [&] { return nd(rng); });
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// SingleMatrix in(crow, ccol, buf.data(), deviceId, matrixFlagNormal);
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// SingleMatrix inExp(crow, ccol, buf.data(), cudnnDeviceId, matrixFlagNormal);
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//
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// Tensor4DPtr scaleBiasT = spatial ? fact->CreateTensor(1, 1, t.c(), 1) : fact->CreateTensor(t.w(), t.h(), t.c(), 1);
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// size_t crowScaleBias = scaleBiasT->w() * scaleBiasT->h() * scaleBiasT->c();
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// buf.resize(crowScaleBias);
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//
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// std::generate(begin(buf), end(buf), [&] { return nd(rng); });
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// SingleMatrix scale(crowScaleBias, 1, buf.data(), deviceId, matrixFlagNormal);
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// SingleMatrix scaleExp(crowScaleBias, 1, buf.data(), cudnnDeviceId, matrixFlagNormal);
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// std::generate(begin(buf), end(buf), [&] { return nd(rng); });
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// SingleMatrix bias(crowScaleBias, 1, buf.data(), deviceId, matrixFlagNormal);
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// SingleMatrix biasExp(crowScaleBias, 1, buf.data(), cudnnDeviceId, matrixFlagNormal);
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//
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// std::generate(begin(buf), end(buf), [&] { return nd(rng); });
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// SingleMatrix runMean(crowScaleBias, 1, buf.data(), deviceId, matrixFlagNormal);
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// SingleMatrix runMeanExp(crowScaleBias, 1, buf.data(), cudnnDeviceId, matrixFlagNormal);
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// std::generate(begin(buf), end(buf), [&] { return nd(rng); });
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// SingleMatrix runInvStdDev(crowScaleBias, 1, buf.data(), deviceId, matrixFlagNormal);
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// SingleMatrix runInvStdDevExp(crowScaleBias, 1, buf.data(), cudnnDeviceId, matrixFlagNormal);
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//
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// SingleMatrix outBuf(deviceId);
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// SingleMatrix out = initMat(outBuf, crow, ccol, buf);
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// SingleMatrix outExp(crow, ccol, out.CopyToArray(), cudnnDeviceId, matrixFlagNormal);
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//
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// CudaTimer time1;
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// time1.Start();
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// engCntk->NormalizeBatchInference(t, in, *scaleBiasT, scale, bias, spatial, runMean, runInvStdDev, out);
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// time1.Stop();
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//
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// CudaTimer time2;
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// time2.Start();
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// engCudnn->NormalizeBatchInference(t, inExp, *scaleBiasT, scaleExp, biasExp, spatial, runMeanExp, runInvStdDevExp, outExp);
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// time2.Stop();
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//
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// std::stringstream tmsg;
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// tmsg << "tensor: (w = " << t.w() << ", h = " << t.h() << ", c = " << t.c() << ", n = " << t.n() << ", spatial = " << (spatial ? "true" : "false") << ")";
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// std::string msg = " are not equal, " + tmsg.str();
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// std::string msgNan = " has NaNs, " + tmsg.str();
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// std::string msgNotNan = " has buffer overflow/underflow, " + tmsg.str();
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//
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// float relErr = Err<float>::Rel;
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// float absErr = Err<float>::Abs;
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// std::string emsg;
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//
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// BOOST_REQUIRE_MESSAGE(!out.HasNan("out"), "out" << msgNan);
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// BOOST_REQUIRE_MESSAGE(CheckEqual(out, outExp, emsg, relErr, absErr * 20), "out" << msg << ". " << emsg);
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// BOOST_REQUIRE_MESSAGE(CountNans(outBuf) == crow * 2 * ccol, "out" << msgNotNan);
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// }
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//}
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BOOST_AUTO_TEST_CASE(BatchNormalizationBackward)
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{
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std::mt19937 rng(0);
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@ -7,14 +7,14 @@
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#include <array>
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#include <random>
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#include <numeric>
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#include <boost/random/normal_distribution.hpp>
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#include <boost/random/uniform_int_distribution.hpp>
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#include "../../../Source/Math/Matrix.h"
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#include "../../../Source/Math/CPUMatrix.h"
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#include "../../../Source/Math/GPUMatrix.h"
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#include "../../../Source/Math/ConvolutionEngine.h"
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#include "../../../Source/Math/CuDnnFactories.h"
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#include "common.h"
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#include <boost/random/normal_distribution.hpp>
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#include <boost/random/uniform_int_distribution.hpp>
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namespace Microsoft { namespace MSR { namespace CNTK { namespace Test {
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@ -226,7 +226,7 @@ BOOST_AUTO_TEST_CASE(ConvolutionForward)
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std::string emsg;
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BOOST_REQUIRE_MESSAGE(!out.HasNan("out"), "out" << msgNan);
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BOOST_REQUIRE_MESSAGE(CheckEqual(out, outB, emsg, relErr * 4, absErr * 9), "out" << msg << ". " << emsg);
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BOOST_REQUIRE_MESSAGE(CheckEqual(out, outB, emsg, relErr * 4, absErr * 10), "out" << msg << ". " << emsg);
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BOOST_REQUIRE_MESSAGE(CountNans(outBuf) == crowOut * 2 * n, "out" << msgNotNan);
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}
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}
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@ -363,7 +363,8 @@ BOOST_AUTO_TEST_CASE(ConvolutionBackwardKernel)
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std::string emsg;
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BOOST_REQUIRE_MESSAGE(!kernel.HasNan("kernel"), "kernel" << msgNan);
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BOOST_REQUIRE_MESSAGE(CheckEqual(kernel, kernelB, emsg, relErr * 32, absErr * 32), "kernel" << msg << ". " << emsg);
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// Todo: check the threashold value after we have setttings regard determinstics in place.
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BOOST_REQUIRE_MESSAGE(CheckEqual(kernel, kernelB, emsg, relErr * 192, absErr * 32), "kernel" << msg << ". " << emsg);
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BOOST_REQUIRE_MESSAGE(CountNans(kernelBuf) == kernel.GetNumElements() * 2, "kernel" << msgNotNan);
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}
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}
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@ -10,6 +10,7 @@
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#include <crtdefs.h>
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#endif
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#include "../../../Source/Math/GPUSparseMatrix.h"
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#include "common.h"
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using namespace Microsoft::MSR::CNTK;
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@ -55,10 +56,11 @@ BOOST_FIXTURE_TEST_CASE(GPUSparseMatrixScaleAndAdd, RandomSeedFixture)
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float a[m * n];
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float b[m * n];
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std::mt19937 rng(0);
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for (int i = 0; i < m * n; i++)
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{
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a[i] = static_cast<float>(rand());
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b[i] = static_cast<float>(rand());
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a[i] = static_cast<float>(rng());
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b[i] = static_cast<float>(rng());
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}
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const GPUMatrix<float> denseMatrixA(m, n, c_deviceIdZero, a, MatrixFlags::matrixFlagNormal);
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@ -80,7 +82,11 @@ BOOST_FIXTURE_TEST_CASE(GPUSparseMatrixScaleAndAdd, RandomSeedFixture)
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unique_ptr<float[]> c(denseMatrixC.CopyToArray());
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for (int i = 0; i < m * n; i++)
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{
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BOOST_CHECK_EQUAL(alpha * (alpha * a[i] + beta * b[i]), c[i]);
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float res1 = alpha * (alpha * a[i] + beta * b[i]);
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float res2 = c[i];
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BOOST_REQUIRE_MESSAGE(AreEqual(res1, res2, Err<float>::Rel, Err<float>::Abs),
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"first mismatch at " << i << ", " << res1 << "!=" << res2 << ", relErr=" << (std::abs(res1 - res2) / std::max(std::abs(res1), \
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std::abs(res2))) << ", absErr = " << std::abs(res1 - res2));
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}
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}
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@ -40,18 +40,6 @@
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<CharacterSet>Unicode</CharacterSet>
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<UseOfMfc>false</UseOfMfc>
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</PropertyGroup>
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<Choose>
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<When Condition="Exists('$(BOOST_INCLUDE_PATH)') And Exists('$(BOOST_LIB_PATH)')">
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<PropertyGroup>
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<HasBoost>true</HasBoost>
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</PropertyGroup>
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</When>
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<Otherwise>
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<PropertyGroup>
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<HasBoost>false</HasBoost>
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</PropertyGroup>
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</Otherwise>
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</Choose>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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<ImportGroup Condition="$(GpuBuild)" Label="ExtensionSettings">
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<Import Project="$(VCTargetsPath)\BuildCustomizations\CUDA $(CudaVersion).props" />
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@ -121,7 +121,8 @@ BOOST_FIXTURE_TEST_CASE(MatrixMultiplyAndPlusAndMinus, RandomSeedFixture)
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BOOST_FIXTURE_TEST_CASE(MatrixScaleAndAdd, RandomSeedFixture)
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{
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const int seed = rand();
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std::mt19937 rng(0);
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const int seed = rng();
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const SingleMatrix singleMatrixA = SingleMatrix::RandomUniform(1024, 512, c_deviceIdZero , - 12.34f, 55.2312f, seed + 0);
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const SingleMatrix singleMatrixB = SingleMatrix::RandomUniform(1024, 512, c_deviceIdZero, -12.34f, 55.2312f, seed + 1);
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SingleMatrix singleMatrixC(singleMatrixB.DeepClone());
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@ -161,7 +162,8 @@ BOOST_FIXTURE_TEST_CASE(MatrixScaleAndAdd, RandomSeedFixture)
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BOOST_FIXTURE_TEST_CASE(MatrixScaleAndAdd_double, RandomSeedFixture)
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{
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const int seed = rand();
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std::mt19937 rng(0);
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const int seed = rng();
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DoubleMatrix matrixA = DoubleMatrix::RandomUniform(1024, 512, c_deviceIdZero, -12.34, 55.2312, seed + 0);
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DoubleMatrix matrixB = DoubleMatrix::RandomUniform(1024, 512, c_deviceIdZero, -12.34, 55.2312, seed + 1);
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DoubleMatrix matrixC(matrixB.DeepClone());
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@ -5,6 +5,7 @@
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// Tests for sparse and dense matrix interaction should go here
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//
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#include "stdafx.h"
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#include <random>
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#include "../../../Source/Math/Matrix.h"
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using namespace Microsoft::MSR::CNTK;
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@ -191,6 +192,7 @@ BOOST_FIXTURE_TEST_CASE(MatrixSparseTimesSparse, RandomSeedFixture)
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BOOST_FIXTURE_TEST_CASE(MatrixSparsePlusSparse, RandomSeedFixture)
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{
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std::mt19937 rng(0);
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Matrix<float> mAdense(c_deviceIdZero);
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mAdense.AssignTruncateBottomOf(Matrix<float>::RandomUniform(dim1, dim2, c_deviceIdZero, -3.0f, 0.1f, IncrementCounter()), 0);
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Matrix<float> mAsparse(mAdense.DeepClone());
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@ -199,7 +201,7 @@ BOOST_FIXTURE_TEST_CASE(MatrixSparsePlusSparse, RandomSeedFixture)
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mBdense.AssignTruncateBottomOf(Matrix<float>::RandomUniform(dim1, dim2, c_deviceIdZero, -5.0f, 0.4f, IncrementCounter()), 0);
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Matrix<float> mBsparse(mBdense.DeepClone());
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float alpha = 1.0f * rand() / RAND_MAX;
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float alpha = 1.0f * rng() / rng.max();
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Matrix<float>::ScaleAndAdd(alpha, mAdense, mBdense);
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mAsparse.SwitchToMatrixType(MatrixType::SPARSE, matrixFormatSparseCSR, true);
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@ -212,6 +214,7 @@ BOOST_FIXTURE_TEST_CASE(MatrixSparsePlusSparse, RandomSeedFixture)
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BOOST_FIXTURE_TEST_CASE(MatrixDensePlusSparse, RandomSeedFixture)
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{
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std::mt19937 rng(0);
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Matrix<float> mAdense(c_deviceIdZero);
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mAdense.AssignTruncateBottomOf(Matrix<float>::RandomUniform(dim1, dim2, c_deviceIdZero, -3.0f, 0.1f, IncrementCounter()), 0);
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|
|
@ -219,7 +222,7 @@ BOOST_FIXTURE_TEST_CASE(MatrixDensePlusSparse, RandomSeedFixture)
|
|||
mBdense.AssignTruncateBottomOf(Matrix<float>::RandomUniform(dim1, dim2, c_deviceIdZero, -5.0f, 0.4f, IncrementCounter()), 0);
|
||||
Matrix<float> mBsparse(mBdense.DeepClone());
|
||||
|
||||
float alpha = 1.0f * rand() / RAND_MAX;
|
||||
float alpha = 1.0f * rng() / rng.max();
|
||||
Matrix<float>::ScaleAndAdd(alpha, mAdense, mBdense);
|
||||
|
||||
mBsparse.SwitchToMatrixType(MatrixType::SPARSE, matrixFormatSparseCSR, true);
|
||||
|
|
@ -231,6 +234,7 @@ BOOST_FIXTURE_TEST_CASE(MatrixDensePlusSparse, RandomSeedFixture)
|
|||
|
||||
BOOST_FIXTURE_TEST_CASE(MatrixSparsePlusDense, RandomSeedFixture)
|
||||
{
|
||||
std::mt19937 rng(0);
|
||||
Matrix<float> mAdense(c_deviceIdZero);
|
||||
mAdense.AssignTruncateBottomOf(Matrix<float>::RandomUniform(dim1, dim2, c_deviceIdZero, -3.0f, 0.1f, IncrementCounter()), 0);
|
||||
Matrix<float> mAsparse(mAdense.DeepClone());
|
||||
|
|
@ -239,7 +243,7 @@ BOOST_FIXTURE_TEST_CASE(MatrixSparsePlusDense, RandomSeedFixture)
|
|||
mBdense.AssignTruncateBottomOf(Matrix<float>::RandomUniform(dim1, dim2, c_deviceIdZero, -5.0f, 0.4f, IncrementCounter()), 0);
|
||||
Matrix<float> Bd1(mBdense.DeepClone());
|
||||
|
||||
float alpha = 1.0f * rand() / RAND_MAX;
|
||||
float alpha = 1.0f * rng() / rng.max();
|
||||
Matrix<float>::ScaleAndAdd(alpha, mAdense, mBdense);
|
||||
|
||||
mAsparse.SwitchToMatrixType(MatrixType::SPARSE, matrixFormatSparseCSR, true);
|
||||
|
|
|
|||
|
|
@ -5,15 +5,15 @@
|
|||
|
||||
#pragma once
|
||||
|
||||
#include "Matrix.h"
|
||||
#include "CPUMatrix.h"
|
||||
#include "TensorView.h"
|
||||
#include "Sequences.h"
|
||||
#include <chrono>
|
||||
#include <iostream>
|
||||
#include <vector>
|
||||
#include <algorithm>
|
||||
#include <boost/random/uniform_real_distribution.hpp>
|
||||
#include "Matrix.h"
|
||||
#include "CPUMatrix.h"
|
||||
#include "TensorView.h"
|
||||
#include "Sequences.h"
|
||||
|
||||
namespace Microsoft { namespace MSR { namespace CNTK { namespace Test {
|
||||
|
||||
|
|
@ -50,7 +50,7 @@ struct TensorTest
|
|||
cout << " \t// " << (deviceId < 0 ? "C" : "G") << "PU\n " << flush;
|
||||
|
||||
// random init
|
||||
mt19937 rng(randomSeed);
|
||||
std::mt19937 rng(randomSeed);
|
||||
boost::random::uniform_real_distribution<float> nd(-1, 1);
|
||||
vector<ElemType> init(numElements);
|
||||
generate(begin(init), end(init), [&] { return nd(rng); });
|
||||
|
|
|
|||
|
|
@ -26,10 +26,6 @@
|
|||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
<Import Project="$(SolutionDir)\CNTK.Cpp.props" />
|
||||
<PropertyGroup>
|
||||
<HasBoost>false</HasBoost>
|
||||
<HasBoost Condition="Exists('$(BOOST_INCLUDE_PATH)') And Exists('$(BOOST_LIB_PATH)')">true</HasBoost>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Label="Configuration">
|
||||
<ConfigurationType>Application</ConfigurationType>
|
||||
<PlatformToolset>v120</PlatformToolset>
|
||||
|
|
|
|||
|
|
@ -5,14 +5,14 @@
|
|||
#pragma once
|
||||
|
||||
#include <boost/test/unit_test.hpp>
|
||||
#include "boost/filesystem.hpp"
|
||||
#include "boost/lexical_cast.hpp"
|
||||
#include <boost/filesystem.hpp>
|
||||
#include <boost/lexical_cast.hpp>
|
||||
#include "DataReader.h"
|
||||
|
||||
using namespace Microsoft::MSR::CNTK;
|
||||
|
||||
namespace Microsoft { namespace MSR { namespace CNTK { namespace Test {
|
||||
|
||||
const double relError = 1e-5f;
|
||||
|
||||
struct ReaderFixture
|
||||
{
|
||||
// This fixture sets up paths so the tests can assume the right location for finding the configuration
|
||||
|
|
@ -115,8 +115,6 @@ struct ReaderFixture
|
|||
string m_testDataPath;
|
||||
string m_parentPath;
|
||||
|
||||
double relError = 1e-5f;
|
||||
|
||||
string initialPath()
|
||||
{
|
||||
return m_initialWorkingPath;
|
||||
|
|
@ -184,14 +182,14 @@ struct ReaderFixture
|
|||
{
|
||||
for (it1 = beginStream1, it2 = beginStream2; it1 != endStream1 && it2 != endStream2; it1++, it2++)
|
||||
{
|
||||
BOOST_CHECK_CLOSE_FRACTION(boost::lexical_cast<double>(*it1), boost::lexical_cast<double>(*it2), relError);
|
||||
BOOST_REQUIRE_CLOSE_FRACTION(boost::lexical_cast<double>(*it1), boost::lexical_cast<double>(*it2), relError);
|
||||
}
|
||||
|
||||
BOOST_CHECK_MESSAGE(it1 == endStream1 && it2 == endStream2, "Different number of elements in file " << filename1 << " and " << filename2);
|
||||
BOOST_REQUIRE_MESSAGE(it1 == endStream1 && it2 == endStream2, "Different number of elements in file " << filename1 << " and " << filename2);
|
||||
}
|
||||
else
|
||||
{
|
||||
BOOST_CHECK_EQUAL_COLLECTIONS(beginStream1, endStream1, beginStream2, endStream2);
|
||||
BOOST_REQUIRE_EQUAL_COLLECTIONS(beginStream1, endStream1, beginStream2, endStream2);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -8,8 +8,9 @@ precision = "double"
|
|||
|
||||
Simple_Test = [
|
||||
reader = [
|
||||
useMersenneTwisterRand = true
|
||||
readerType = "HTKMLFReader"
|
||||
readMethod = "rollingWindow"
|
||||
readMethod = "blockRandomize"
|
||||
miniBatchMode = "full"
|
||||
randomize = "auto"
|
||||
verbosity = 0
|
||||
|
|
|
|||
|
|
@ -1,32 +0,0 @@
|
|||
RootDir = .
|
||||
DataDir = $RootDir$
|
||||
|
||||
# deviceId = -1 for CPU, >= 0 for GPU devices
|
||||
deviceId = -1
|
||||
|
||||
precision = "double"
|
||||
|
||||
Simple_Test = [
|
||||
reader = [
|
||||
readerType = "HTKMLFReader"
|
||||
readMethod = "rollingWindow"
|
||||
miniBatchMode = "full"
|
||||
randomize = "auto"
|
||||
verbosity = 0
|
||||
frameMode = true
|
||||
truncated = true
|
||||
|
||||
features = [
|
||||
dim = 363
|
||||
type = "real"
|
||||
scpFile = "$DataDir$/glob_0000.scp"
|
||||
]
|
||||
|
||||
labels = [
|
||||
mlfFile = "$DataDir$/glob_0000.mlf"
|
||||
labelMappingFile = "$DataDir$/state.list"
|
||||
labelDim = 132
|
||||
labelType = "category"
|
||||
]
|
||||
]
|
||||
]
|
||||
|
|
@ -1,32 +0,0 @@
|
|||
RootDir = .
|
||||
DataDir = $RootDir$
|
||||
|
||||
# deviceId = -1 for CPU, >= 0 for GPU devices
|
||||
deviceId = -1
|
||||
|
||||
precision = "float"
|
||||
|
||||
Simple_Test = [
|
||||
reader = [
|
||||
readerType = "HTKMLFReader"
|
||||
readMethod = "rollingWindow"
|
||||
miniBatchMode = "full"
|
||||
randomize = "auto"
|
||||
verbosity = 0
|
||||
frameMode = true
|
||||
truncated = false
|
||||
|
||||
features = [
|
||||
dim = 363
|
||||
type = "real"
|
||||
scpFile = "$DataDir$/glob_0000.scp"
|
||||
]
|
||||
|
||||
labels=[
|
||||
mlfFile = "$DataDir$/glob_0000.mlf"
|
||||
labelMappingFile = "$DataDir$/state.list"
|
||||
labelDim = 132
|
||||
labelType = "category"
|
||||
]
|
||||
]
|
||||
]
|
||||
|
|
@ -8,8 +8,9 @@ precision = "float"
|
|||
|
||||
Simple_Test = [
|
||||
reader = [
|
||||
useMersenneTwisterRand = true
|
||||
readerType = "HTKMLFReader"
|
||||
readMethod = "rollingWindow"
|
||||
readMethod = "blockRandomize"
|
||||
miniBatchMode = "full"
|
||||
randomize = "auto"
|
||||
verbosity = 0
|
||||
|
|
|
|||
|
|
@ -19,7 +19,6 @@ Simple_Test = [
|
|||
reader = [
|
||||
verbosity = 0
|
||||
randomize = true
|
||||
numCPUThreads = 1
|
||||
|
||||
deserializers = (
|
||||
[
|
||||
|
|
|
|||
|
|
@ -19,7 +19,6 @@ Simple_Test = [
|
|||
reader = [
|
||||
verbosity = 0
|
||||
randomize = true
|
||||
numCPUThreads = 1
|
||||
|
||||
deserializers = (
|
||||
[
|
||||
|
|
|
|||
|
|
@ -1,42 +0,0 @@
|
|||
RootDir = .
|
||||
ModelDir = "models"
|
||||
command = "Simple_Test"
|
||||
|
||||
precision = "float"
|
||||
|
||||
modelPath = "$ModelDir$/UCIFastReaderSimpleDataLoop_Model.dnn"
|
||||
|
||||
# deviceId = -1 for CPU, >= 0 for GPU devices
|
||||
deviceId = -1
|
||||
|
||||
outputNodeNames = "ScaledLogLikelihood"
|
||||
traceLevel = 1
|
||||
|
||||
#######################################
|
||||
# CONFIG (Simple, Fixed LR) #
|
||||
#######################################
|
||||
|
||||
Simple_Test = [
|
||||
# Parameter values for the reader
|
||||
reader = [
|
||||
# reader to use
|
||||
readerType = "UCIFastReader"
|
||||
file = "$RootDir$/UCIFastReaderSimpleDataLoop_Train.txt"
|
||||
|
||||
miniBatchMode = "partial"
|
||||
randomize = "auto"
|
||||
verbosity = 1
|
||||
|
||||
features = [
|
||||
dim = 2 # two-dimensional input data
|
||||
start = 0 # Start with first element on line
|
||||
]
|
||||
|
||||
labels = [
|
||||
start = 2 # Skip two elements
|
||||
dim = 1 # One label dimension
|
||||
labelDim = 2 # Two labels possible
|
||||
labelMappingFile = "$RootDir$/UCIFastReaderSimpleDataLoop_Mapping.txt"
|
||||
]
|
||||
]
|
||||
]
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,2 +1,2 @@
|
|||
images\black.jpg 0
|
||||
images\multi.png 1
|
||||
images/black.jpg 0
|
||||
images/multi.png 1
|
||||
|
|
|
|||
|
|
@ -1,2 +0,0 @@
|
|||
0
|
||||
1
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -49,7 +49,12 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop1)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop2)
|
||||
|
|
@ -117,23 +122,6 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop5)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop6)
|
||||
{
|
||||
HelperRunReaderTest<float>(
|
||||
testDataPath() + "/Config/HTKMLFReaderSimpleDataLoop6_Config.cntk",
|
||||
testDataPath() + "/Control/HTKMLFReaderSimpleDataLoop6_16_17_Control.txt",
|
||||
testDataPath() + "/Control/HTKMLFReaderSimpleDataLoop6_Output.txt",
|
||||
"Simple_Test",
|
||||
"reader",
|
||||
500,
|
||||
250,
|
||||
2,
|
||||
1,
|
||||
1,
|
||||
0,
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
|
|
@ -150,7 +138,6 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop7)
|
|||
"reader");
|
||||
};
|
||||
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop8)
|
||||
{
|
||||
HelperRunReaderTest<float>(
|
||||
|
|
@ -182,7 +169,12 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop10)
|
|||
2,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop11)
|
||||
|
|
@ -199,7 +191,12 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop11)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop12)
|
||||
|
|
@ -311,7 +308,12 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop20)
|
|||
2,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop21_0)
|
||||
|
|
@ -345,7 +347,12 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop21_1)
|
|||
1,
|
||||
1,
|
||||
1,
|
||||
2);
|
||||
2,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop22)
|
||||
|
|
@ -362,7 +369,12 @@ BOOST_AUTO_TEST_CASE(HTKMLFReaderSimpleDataLoop22)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop1)
|
||||
|
|
@ -379,7 +391,12 @@ BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop1)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop5)
|
||||
|
|
@ -396,7 +413,12 @@ BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop5)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop11)
|
||||
|
|
@ -413,7 +435,12 @@ BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop11)
|
|||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop21_0)
|
||||
|
|
@ -447,7 +474,12 @@ BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop21_1)
|
|||
1,
|
||||
1,
|
||||
1,
|
||||
2);
|
||||
2,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop4)
|
||||
|
|
@ -581,7 +613,12 @@ BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop10)
|
|||
2,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop20)
|
||||
|
|
@ -598,7 +635,12 @@ BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop20)
|
|||
2,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
1,
|
||||
false,
|
||||
false,
|
||||
true,
|
||||
{},
|
||||
true);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_CASE(HTKDeserializersSimpleDataLoop3)
|
||||
|
|
|
|||
|
|
@ -4,16 +4,14 @@
|
|||
//
|
||||
|
||||
#include "stdafx.h"
|
||||
|
||||
#include <numeric>
|
||||
#include <random>
|
||||
#include <boost/random/uniform_int_distribution.hpp>
|
||||
#include "NoRandomizer.h"
|
||||
#include "DataDeserializer.h"
|
||||
#include "BlockRandomizer.h"
|
||||
#include "CorpusDescriptor.h"
|
||||
|
||||
#include <numeric>
|
||||
#include <random>
|
||||
#include <boost/random/uniform_int_distribution.hpp>
|
||||
|
||||
using namespace Microsoft::MSR::CNTK;
|
||||
using namespace std;
|
||||
|
||||
|
|
@ -306,7 +304,7 @@ void BlockRandomizerChaosMonkeyTest(bool prefetch)
|
|||
const int windowSize = 18;
|
||||
vector<float> data(numChunks * numSequencesPerChunk);
|
||||
iota(data.begin(), data.end(), 0.0f);
|
||||
mt19937 rng(seed);
|
||||
std::mt19937 rng(seed);
|
||||
boost::random::uniform_int_distribution<int> distr(1, 10);
|
||||
|
||||
auto mockDeserializer = make_shared<MockDeserializer>(numChunks, numSequencesPerChunk, data, sequenceLength);
|
||||
|
|
@ -444,7 +442,7 @@ BOOST_AUTO_TEST_CASE(NoRandomizerOneEpoch)
|
|||
BOOST_AUTO_TEST_CASE(DefaultCorpusDescriptor)
|
||||
{
|
||||
const int seed = 13;
|
||||
mt19937 rng(seed);
|
||||
std::mt19937 rng(seed);
|
||||
boost::random::uniform_int_distribution<int> distr(50, 60);
|
||||
|
||||
string randomKey(10, (char)distr(rng));
|
||||
|
|
|
|||
|
|
@ -27,8 +27,6 @@
|
|||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
<Import Project="$(SolutionDir)\CNTK.Cpp.props" />
|
||||
<PropertyGroup>
|
||||
<HasBoost>false</HasBoost>
|
||||
<HasBoost Condition="Exists('$(BOOST_INCLUDE_PATH)') And Exists('$(BOOST_LIB_PATH)')">true</HasBoost>
|
||||
<ImageReaderDefine Condition="$(HasOpenCv)">ENABLE_IMAGEREADER_TESTS</ImageReaderDefine>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Label="Configuration">
|
||||
|
|
@ -115,7 +113,6 @@
|
|||
<ClCompile Include="stdafx.cpp">
|
||||
<PrecompiledHeader>Create</PrecompiledHeader>
|
||||
</ClCompile>
|
||||
<ClCompile Include="UCIFastReaderTests.cpp" />
|
||||
<ClCompile Include="..\..\..\Source\Readers\CNTKTextFormatReader\Indexer.cpp" />
|
||||
<ClCompile Include="..\..\..\Source\Readers\CNTKTextFormatReader\TextParser.cpp" />
|
||||
</ItemGroup>
|
||||
|
|
|
|||
|
|
@ -10,7 +10,6 @@
|
|||
<ItemGroup>
|
||||
<ClCompile Include="stdafx.cpp" />
|
||||
<ClCompile Include="HTKLMFReaderTests.cpp" />
|
||||
<ClCompile Include="UCIFastReaderTests.cpp" />
|
||||
<ClCompile Include="ReaderLibTests.cpp" />
|
||||
<ClCompile Include="ImageReaderTests.cpp" />
|
||||
<ClCompile Include="CNTKTextFormatReaderTests.cpp" />
|
||||
|
|
|
|||
|
|
@ -1,41 +0,0 @@
|
|||
//
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
// Licensed under the MIT license. See LICENSE.md file in the project root for full license information.
|
||||
//
|
||||
#include "stdafx.h"
|
||||
#include "Common/ReaderTestHelper.h"
|
||||
|
||||
using namespace Microsoft::MSR::CNTK;
|
||||
|
||||
namespace Microsoft { namespace MSR { namespace CNTK { namespace Test {
|
||||
|
||||
struct UCIReaderFixture : ReaderFixture
|
||||
{
|
||||
UCIReaderFixture()
|
||||
: ReaderFixture("/Data")
|
||||
{
|
||||
}
|
||||
};
|
||||
|
||||
BOOST_FIXTURE_TEST_SUITE(ReaderTestSuite, UCIReaderFixture)
|
||||
|
||||
BOOST_AUTO_TEST_CASE(UCIFastReaderSimpleDataLoop)
|
||||
{
|
||||
HelperRunReaderTest<float>(
|
||||
testDataPath() + "/Config/UCIFastReaderSimpleDataLoop_Config.cntk",
|
||||
testDataPath() + "/Control/UCIFastReaderSimpleDataLoop_Control.txt",
|
||||
testDataPath() + "/Control/UCIFastReaderSimpleDataLoop_Output.txt",
|
||||
"Simple_Test",
|
||||
"reader",
|
||||
500,
|
||||
250,
|
||||
2,
|
||||
1,
|
||||
1,
|
||||
0,
|
||||
1);
|
||||
};
|
||||
|
||||
BOOST_AUTO_TEST_SUITE_END()
|
||||
|
||||
} } } }
|
||||
|
|
@ -684,7 +684,7 @@ then
|
|||
if test x$boost_path = x
|
||||
then
|
||||
echo Cannot locate Boost libraries
|
||||
echo Unit tests will NOT be built.
|
||||
echo ImageReader and Unit tests will NOT be built.
|
||||
else
|
||||
echo Found Boost at $boost_path
|
||||
fi
|
||||
|
|
|
|||
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