From cccccbf6cca94a3eaf813b4468453160e91c332b Mon Sep 17 00:00:00 2001
From: Joe Zhao <ztuowen@gmail.com>
Date: Mon, 14 Apr 2014 08:14:45 +0800
Subject: First commit

---
 src/TNetLib/.svn/text-base/CRBEDctFeat.h.svn-base | 432 ++++++++++++++++++++++
 1 file changed, 432 insertions(+)
 create mode 100644 src/TNetLib/.svn/text-base/CRBEDctFeat.h.svn-base

(limited to 'src/TNetLib/.svn/text-base/CRBEDctFeat.h.svn-base')

diff --git a/src/TNetLib/.svn/text-base/CRBEDctFeat.h.svn-base b/src/TNetLib/.svn/text-base/CRBEDctFeat.h.svn-base
new file mode 100644
index 0000000..0984c36
--- /dev/null
+++ b/src/TNetLib/.svn/text-base/CRBEDctFeat.h.svn-base
@@ -0,0 +1,432 @@
+#ifndef _CUCRBEDCTFEATURES_H_
+#define _CUCRBEDCTFEATURES_H_
+
+
+#include "Component.h"
+#include "Matrix.h"
+#include "Vector.h"
+#include "cblas.h"
+
+
+namespace TNet {
+
+  /**
+   * Expands the time context of the input features
+   * in N, out k*N, FrameOffset o_1,o_2,...,o_k
+   * FrameOffset example 11frames: -5 -4 -3 -2 -1 0 1 2 3 4 5
+   */
+  class Expand : public Component
+  {
+   public:
+    Expand(size_t nInputs, size_t nOutputs, Component* pPred)
+      : Component(nInputs,nOutputs,pPred)
+    { }
+
+    ~Expand()
+    { }
+
+    ComponentType GetType() const
+    { return EXPAND; }
+
+    const char* GetName() const
+    { return "<expand>"; }
+   
+    Component* Clone() const 
+    { 
+      Expand* p = new Expand(GetNInputs(),GetNOutputs(),NULL);
+      p->mFrameOffset.Init(mFrameOffset.Dim()); 
+      p->mFrameOffset.Copy(mFrameOffset); 
+      return p; 
+    }
+
+    void ReadFromStream(std::istream& rIn)
+    { rIn >> mFrameOffset; }
+
+    void WriteToStream(std::ostream& rOut)  
+    { rOut << mFrameOffset; }
+     
+   protected:
+    void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+    {
+      assert(X.Cols()*mFrameOffset.Dim() == Y.Cols());
+      assert(X.Rows() == Y.Rows());
+
+      for(size_t r=0;r<X.Rows();r++) {
+        for(size_t off=0;off<mFrameOffset.Dim();off++) {
+          int r_off = r + mFrameOffset[off];
+          if(r_off < 0) r_off = 0;
+          if(r_off >= X.Rows()) r_off = X.Rows()-1;
+          memcpy(Y.pRowData(r)+off*X.Cols(),X.pRowData(r_off),sizeof(BaseFloat)*X.Cols());
+        }
+      }
+    }
+
+    void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+    { Error("__func__ Nonsense"); }
+
+   protected:
+    Vector<int> mFrameOffset;
+  };
+
+
+
+  /**
+   * Rearrange the matrix columns according to the indices in mCopyFromIndices
+   */
+  class Copy : public Component
+  {
+   public:
+    Copy(size_t nInputs, size_t nOutputs, Component* pPred)
+      : Component(nInputs,nOutputs,pPred)
+    { }
+
+    ~Copy()
+    { }
+
+    ComponentType GetType() const
+    { return COPY; }
+
+    const char* GetName() const
+    { return "<copy>"; }
+    
+    Component* Clone() const 
+    { 
+      Copy* p = new Copy(GetNInputs(),GetNOutputs(),NULL);
+      p->mCopyFromIndices.Init(mCopyFromIndices.Dim()); 
+      p->mCopyFromIndices.Copy(mCopyFromIndices); 
+      return p; 
+    }
+
+    void ReadFromStream(std::istream& rIn)
+    { 
+      Vector<int> vec; rIn >> vec; vec.Add(-1); 
+      mCopyFromIndices.Init(vec.Dim()).Copy(vec);
+    }
+
+    void WriteToStream(std::ostream& rOut)  
+    { 
+      Vector<int> vec(mCopyFromIndices); 
+      vec.Add(1); rOut << vec; 
+    }
+     
+   protected:
+    void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+    {
+      assert(mCopyFromIndices.Dim() == Y.Cols());
+      for(int i=0; i<mCopyFromIndices.Dim();i++) {
+        assert(mCopyFromIndices[i] >= 0 && mCopyFromIndices[i] < X.Cols());
+      }
+        
+      for(size_t r=0; r<X.Rows(); r++) {
+        for(size_t c=0; c<Y.Cols(); c++) {
+          Y(r,c) = X(r,mCopyFromIndices[c]);
+        }
+      }
+    }
+
+    void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+    { Error("__func__ Nonsense"); }
+
+   protected:
+    Vector<int> mCopyFromIndices;
+  };
+  
+  class Transpose : public Component
+  {
+   public:
+    Transpose(size_t nInputs, size_t nOutputs, Component* pPred)
+      : Component(nInputs,nOutputs,pPred), mContext(0)
+    { }
+
+    ~Transpose()
+    { }
+
+    ComponentType GetType() const
+    { return TRANSPOSE; }
+
+    const char* GetName() const
+    { return "<transpose>"; }
+ 
+    Component* Clone() const  
+    { 
+      Transpose* p = new Transpose(GetNInputs(),GetNOutputs(),NULL); 
+      p->mCopyFromIndices.Init(mCopyFromIndices.Dim());
+      p->mCopyFromIndices.Copy(mCopyFromIndices); 
+      p->mContext = mContext;
+      return p; 
+    }
+  
+    void ReadFromStream(std::istream& rIn)
+    { 
+      rIn >> std::ws >> mContext;
+
+      if(GetNInputs() != GetNOutputs()) { 
+        Error("Input dim must be same as output dim"); 
+      }
+      
+      Vector<int> vec(GetNInputs());
+      int channels = GetNInputs() / mContext;
+      for(int i=0, ch=0; ch<channels; ch++) {
+        for(int idx=ch; idx < (int)GetNInputs(); idx+=channels, i++) {
+          assert(i < (int)GetNInputs());
+          vec[i] = idx;
+        }
+      }
+
+      mCopyFromIndices.Init(vec.Dim()).Copy(vec); 
+    }
+
+    void WriteToStream(std::ostream& rOut)  
+    { rOut << " " << mContext << "\n"; }
+     
+   protected:
+    void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+    { 
+      assert(mCopyFromIndices.Dim() == Y.Cols());
+      for(int i=0; i<mCopyFromIndices.Dim();i++) {
+        assert(mCopyFromIndices[i] >= 0 && mCopyFromIndices[i] < X.Cols());
+      }
+        
+      for(size_t r=0; r<X.Rows(); r++) {
+        for(size_t c=0; c<Y.Cols(); c++) {
+          Y(r,c) = X(r,mCopyFromIndices[c]);
+        }
+      }
+    }
+
+    void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+    { Error("__func__ Nonsense"); }
+
+   protected:
+    int mContext;
+    Vector<int> mCopyFromIndices;
+  };
+
+
+  /**
+   * BlockLinearity is used for the blockwise multiplication by 
+   * DCT transform loaded from disk
+   */
+  class BlockLinearity : public Component
+  {
+    public:
+      BlockLinearity(size_t nInputs, size_t nOutputs, Component* pPred)
+        : Component(nInputs,nOutputs,pPred)
+      { }
+
+      ~BlockLinearity()
+      { }
+
+
+      ComponentType GetType() const
+      { return Component::BLOCK_LINEARITY; }
+
+      const char* GetName() const
+      { return "<blocklinearity>"; }
+
+      Component* Clone() const 
+      { 
+        BlockLinearity* p = new BlockLinearity(GetNInputs(),GetNOutputs(),NULL);
+        p->mBlockLinearity.Init(mBlockLinearity.Rows(),mBlockLinearity.Cols()); 
+        p->mBlockLinearity.Copy(mBlockLinearity); 
+        return p; 
+      }
+
+      void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y) 
+      {
+        assert(X.Rows() == Y.Rows());
+        assert(X.Cols()%mBlockLinearity.Rows() == 0);
+        assert(Y.Cols()%mBlockLinearity.Cols() == 0);
+        assert(X.Cols()/mBlockLinearity.Rows() == Y.Cols()/mBlockLinearity.Cols());
+        
+        int instN = X.Cols()/mBlockLinearity.Rows();
+        for(int inst=0; inst<instN; inst++) {
+#ifndef DOUBLEPRECISION
+          cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
+                  X.Rows(), mBlockLinearity.Cols(), mBlockLinearity.Rows(),
+                  1.0, X.pData()+inst*mBlockLinearity.Rows(), X.Stride(), 
+                  mBlockLinearity.pData(), mBlockLinearity.Stride(),
+                  0.0, Y.pData()+inst*mBlockLinearity.Cols(), Y.Stride());
+#else
+          cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
+                  X.Rows(), mBlockLinearity.Cols(), mBlockLinearity.Rows(),
+                  1.0, X.pData()+inst*mBlockLinearity.Rows(), X.Stride(), 
+                  mBlockLinearity.pData(), mBlockLinearity.Stride(),
+                  0.0, Y.pData()+inst*mBlockLinearity.Cols(), Y.Stride());
+#endif
+        }
+      }
+        
+      void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y) 
+      { Error("__func__ Not implemented"); }
+
+
+      void ReadFromStream(std::istream& rIn)
+      { 
+        Matrix<BaseFloat> mat;
+        rIn >> mat;
+        Matrix<BaseFloat> trans(mat,TRANS);
+        mBlockLinearity.Init(trans.Rows(),trans.Cols()).Copy(trans);
+
+        if((GetNOutputs() % mBlockLinearity.Cols() != 0) ||
+           (GetNInputs() % mBlockLinearity.Rows() != 0) ||
+           ((GetNOutputs() / mBlockLinearity.Cols()) != 
+            (GetNInputs() / mBlockLinearity.Rows()))) 
+        {
+          Error("BlockLinearity matrix dimensions must divide IO dims");
+        }
+      }
+
+      void WriteToStream(std::ostream& rOut)
+      {
+        Matrix<BaseFloat> trans(mBlockLinearity,TRANS);
+        rOut << trans;
+      }
+
+    private:
+      Matrix<BaseFloat> mBlockLinearity;
+  };
+
+
+  
+  class Bias : public Component
+  {
+    public:
+      Bias(size_t nInputs, size_t nOutputs, Component* pPred)
+        : Component(nInputs,nOutputs,pPred)
+      { }
+
+      ~Bias()
+      { }
+
+
+      ComponentType GetType() const
+      { return Component::BIAS; }
+
+      const char* GetName() const
+      { return "<bias>"; }
+
+      Component* Clone() const  
+      { 
+        Bias* p = new Bias(GetNInputs(),GetNOutputs(),NULL);
+        p->mBias.Init(mBias.Dim()); 
+        p->mBias.Copy(mBias); 
+        return p; 
+      }
+
+      void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+      { 
+        Y.Copy(X); 
+        for(size_t r=0; r<X.Rows(); r++) {
+          for(size_t c=0; c<X.Cols(); c++) {
+            Y(r,c) += mBias[c];
+          }
+        }
+      }
+
+      void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+      { Y.Copy(X); }
+  
+     
+      void ReadFromStream(std::istream& rIn)
+      { rIn >> mBias; }
+
+      void WriteToStream(std::ostream& rOut)
+      { rOut << mBias; }
+
+    private:
+      Vector<BaseFloat> mBias;
+  };
+
+
+
+  class Window : public Component
+  {
+    public:
+      Window(size_t nInputs, size_t nOutputs, Component* pPred)
+        : Component(nInputs, nOutputs, pPred)
+      { }
+
+      ~Window()
+      { }
+
+
+      ComponentType GetType() const
+      { return Component::WINDOW; }
+
+      const char* GetName() const
+      { return "<window>"; }
+
+      Component* Clone() const  
+      { 
+        Window* p = new Window(GetNInputs(),GetNOutputs(),NULL);
+        p->mWindow.Init(mWindow.Dim()); 
+        p->mWindow.Copy(mWindow); 
+        return p; 
+      }
+
+
+      void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+      { Y.Copy(X); 
+        for(size_t r=0; r<X.Rows(); r++) {
+          for(size_t c=0; c<X.Cols(); c++) {
+            Y(r,c) *= mWindow[c];
+          }
+        }
+      }
+
+      void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+      { Error("__func__ Not implemented"); }
+     
+      
+      void ReadFromStream(std::istream& rIn)
+      { rIn >> mWindow; }
+
+      void WriteToStream(std::ostream& rOut)
+      { rOut << mWindow; }
+
+    private:
+      Vector<BaseFloat> mWindow;
+  };
+
+  class Log : public Component
+  {
+    public:
+      Log(size_t nInputs, size_t nOutputs, Component* pPred)
+        : Component(nInputs, nOutputs, pPred)
+      { }
+
+      ~Log()
+      { }
+
+
+      ComponentType GetType() const
+      { return Component::LOG; }
+
+      const char* GetName() const
+      { return "<log>"; }
+
+      Component* Clone() const  
+      { return new Log(GetNInputs(),GetNOutputs(),NULL); }
+
+
+      void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+      { Y.Copy(X); Y.ApplyLog(); }
+
+      void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y)
+      { Error("__func__ Not implemented"); }
+     
+      
+      void ReadFromStream(std::istream& rIn)
+      { }
+
+      void WriteToStream(std::ostream& rOut)
+      { }
+
+  };
+
+}
+
+
+#endif
+
-- 
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