removed outdated dup of NetworkDescriptionLanguage.cpp

This commit is contained in:
Frank Seide 2014-11-04 19:41:08 -08:00
Родитель 3f085c6448
Коммит 1d4dd604ba
2 изменённых файлов: 4 добавлений и 89 удалений

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@ -1,87 +0,0 @@
//
// <copyright file="NetworkDescriptionLanguage.cpp" company="Microsoft">
// Copyright (c) Microsoft Corporation. All rights reserved.
// </copyright>
//
// NetworkDescriptionLanguage.cpp : Code used to interpret the Network Description Language.
//
#include "NetworkDescriptionLanguage.h"
namespace Microsoft { namespace MSR { namespace CNTK {
// EqualInsensitive - check to see if two nodes are equal up to the length of the first string (must be at least half as long as actual node name)
// string1 - [in,out] string to compare, if comparision is equal insensitive but not sensitive, will replace with sensitive version
// string2 - second string to compare
// return - true if strings are equal insensitive and modifies string1 to sensitive version if different
bool EqualInsensitive(std::wstring& string1, const std::wstring& string2)
{
bool equal = !_wcsnicmp(string1.c_str(), string2.c_str(), string1.size());
// don't allow partial matches that are less than half the string
if (equal && string1.size() < string2.size()/2)
{
equal = false;
}
// if we have a (partial) match replace with the full name
if (equal && wcscmp(string1.c_str(), string2.c_str()))
{
string1 = string2;
}
return equal;
}
// CheckFunction - check to see if we match a function name
// string1 - [in,out] string to compare, if comparision is equal and at least half the full node name will replace with full node name
// return - true if function name found
template <typename ElemType>
bool CheckFunction(std::string& p_nodeType)
{
std::wstring nodeType = msra::strfun::utf16(p_nodeType);
bool ret = false;
if (EqualInsensitive(nodeType, NegateNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, RectifiedLinearNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, SigmoidNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, TanhNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, LogNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, SoftmaxNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, SumNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, ScaleNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, TimesNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, PlusNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, MinusNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, SquareErrorNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, CrossEntropyWithSoftmaxNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, MatrixL1RegNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, MatrixL2RegNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, PerDimMeanVarNormalizationNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, ErrorPredictionNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, DropoutNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, MeanNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, InvStdDevNode<ElemType>::TypeName()))
ret = true;
else if (EqualInsensitive(nodeType, MaxPoolingNode<ElemType>::TypeName()))
ret = true;
return ret;
}
}}}

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@ -30,11 +30,13 @@
INCFLAGS = -I Common/Include -I Math/Math -I MachineLearning/cn -I $(ACML_PATH)/include
COMMON_SRC = Common/fileutil.cpp Common/DataWriter.cpp Common/ConfigFile.cpp Common/DataReader.cpp \
Common/Eval.cpp Common/File.cpp Common/NetworkDescriptionLanguage.cpp Common/BestGpu.cpp
Common/Eval.cpp Common/File.cpp Common/BestGpu.cpp
MATH_SRC = Math/Math/Matrix.obj Math/Math/CPUMatrix.obj Math/Math/CPUSparseMatrix.obj Math/Math/NoGPU.obj
CN_SRC = MachineLearning/cn/cn.cpp MachineLearning/cn/ComputationNode.cpp MachineLearning/cn/ModelEditLanguage.cpp MachineLearning/cn/NetworkDescriptionLanguage.cpp MachineLearning/cn/PTaskGraphBuilder.cpp MachineLearning/cn/SimpleNetworkBuilder.cpp MachineLearning/cn/tests.cpp
CN_SRC = MachineLearning/cn/NetworkDescriptionLanguage.cpp MachineLearning/cn/cn.cpp MachineLearning/cn/ComputationNode.cpp \
MachineLearning/cn/ModelEditLanguage.cpp MachineLearning/cn/NetworkDescriptionLanguage.cpp MachineLearning/cn/PTaskGraphBuilder.cpp \
MachineLearning/cn/SimpleNetworkBuilder.cpp MachineLearning/cn/tests.cpp
SRC = $(CN_SRC) $(MATH_SRC) $(COMMON_SRC)