summaryrefslogtreecommitdiff
path: root/src/CuTNetLib/.svn/text-base/cuRbm.h.svn-base
diff options
context:
space:
mode:
Diffstat (limited to 'src/CuTNetLib/.svn/text-base/cuRbm.h.svn-base')
-rw-r--r--src/CuTNetLib/.svn/text-base/cuRbm.h.svn-base146
1 files changed, 146 insertions, 0 deletions
diff --git a/src/CuTNetLib/.svn/text-base/cuRbm.h.svn-base b/src/CuTNetLib/.svn/text-base/cuRbm.h.svn-base
new file mode 100644
index 0000000..c1e984b
--- /dev/null
+++ b/src/CuTNetLib/.svn/text-base/cuRbm.h.svn-base
@@ -0,0 +1,146 @@
+#ifndef _CU_RBM_H_
+#define _CU_RBM_H_
+
+
+#include "cuComponent.h"
+#include "cumatrix.h"
+
+
+#include "Matrix.h"
+#include "Vector.h"
+
+
+namespace TNet {
+
+ class CuRbmBase : public CuUpdatableComponent
+ {
+ public:
+ typedef enum {
+ BERNOULLI,
+ GAUSSIAN
+ } RbmUnitType;
+
+ CuRbmBase(size_t nInputs, size_t nOutputs, CuComponent *pPred) :
+ CuUpdatableComponent(nInputs, nOutputs, pPred)
+ { }
+
+
+ virtual void Propagate(
+ const CuMatrix<BaseFloat>& visProbs,
+ CuMatrix<BaseFloat>& hidProbs
+ ) = 0;
+ virtual void Reconstruct(
+ const CuMatrix<BaseFloat>& hidState,
+ CuMatrix<BaseFloat>& visProbs
+ ) = 0;
+ virtual void RbmUpdate(
+ const CuMatrix<BaseFloat>& pos_vis,
+ const CuMatrix<BaseFloat>& pos_hid,
+ const CuMatrix<BaseFloat>& neg_vis,
+ const CuMatrix<BaseFloat>& neg_hid
+ ) = 0;
+
+ virtual RbmUnitType VisType() = 0;
+ virtual RbmUnitType HidType() = 0;
+ };
+
+
+ class CuRbm : public CuRbmBase
+ {
+ public:
+
+ CuRbm(size_t nInputs, size_t nOutputs, CuComponent *pPred);
+ ~CuRbm();
+
+ ComponentType GetType() const;
+ const char* GetName() const;
+
+ //CuUpdatableComponent API
+ void PropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
+ void BackpropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
+
+ void Update();
+
+ //RBM training API
+ void Propagate(const CuMatrix<BaseFloat>& visProbs, CuMatrix<BaseFloat>& hidProbs);
+ void Reconstruct(const CuMatrix<BaseFloat>& hidState, CuMatrix<BaseFloat>& visProbs);
+ void RbmUpdate(const CuMatrix<BaseFloat>& pos_vis, const CuMatrix<BaseFloat>& pos_hid, const CuMatrix<BaseFloat>& neg_vis, const CuMatrix<BaseFloat>& neg_hid);
+
+ RbmUnitType VisType()
+ { return mVisType; }
+
+ RbmUnitType HidType()
+ { return mHidType; }
+
+ //static void BinarizeProbs(const CuMatrix<BaseFloat>& probs, CuMatrix<BaseFloat>& states);
+
+ //I/O
+ void ReadFromStream(std::istream& rIn);
+ void WriteToStream(std::ostream& rOut);
+
+ protected:
+ CuMatrix<BaseFloat> mVisHid; ///< Matrix with neuron weights
+ CuVector<BaseFloat> mVisBias; ///< Vector with biases
+ CuVector<BaseFloat> mHidBias; ///< Vector with biases
+
+ CuMatrix<BaseFloat> mVisHidCorrection; ///< Matrix for linearity updates
+ CuVector<BaseFloat> mVisBiasCorrection; ///< Vector for bias updates
+ CuVector<BaseFloat> mHidBiasCorrection; ///< Vector for bias updates
+
+ CuMatrix<BaseFloat> mBackpropErrBuf;
+
+ RbmUnitType mVisType;
+ RbmUnitType mHidType;
+
+ };
+
+
+
+
+ ////////////////////////////////////////////////////////////////////////////
+ // INLINE FUNCTIONS
+ // CuRbm::
+ inline
+ CuRbm::
+ CuRbm(size_t nInputs, size_t nOutputs, CuComponent *pPred)
+ : CuRbmBase(nInputs, nOutputs, pPred),
+ mVisHid(nInputs,nOutputs),
+ mVisBias(nInputs), mHidBias(nOutputs),
+ mVisHidCorrection(nInputs,nOutputs),
+ mVisBiasCorrection(nInputs), mHidBiasCorrection(nOutputs),
+ mBackpropErrBuf(),
+ mVisType(BERNOULLI),
+ mHidType(BERNOULLI)
+ {
+ mVisHidCorrection.SetConst(0.0);
+ mVisBiasCorrection.SetConst(0.0);
+ mHidBiasCorrection.SetConst(0.0);
+ }
+
+
+ inline
+ CuRbm::
+ ~CuRbm()
+ { }
+
+ inline CuComponent::ComponentType
+ CuRbm::
+ GetType() const
+ {
+ return CuComponent::RBM;
+ }
+
+ inline const char*
+ CuRbm::
+ GetName() const
+ {
+ return "<rbm>";
+ }
+
+
+
+} //namespace
+
+
+
+#endif