update to tensorflow v0.7 (actually a little bit ahead)

Author: memo

example-basic/src/example-basic.cpp

@@ -9,8 +9,6 @@
  *
  */
 
-#pragma once
-
 #include "ofMain.h"
 #include "ofxMSATensorFlow.h"
 

example-mnist/src/example-mnist.cpp

@@ -80,7 +80,7 @@ class ofApp : public ofBaseApp{
         mouse_painter.setup(256);
 
         // initialize classifier
-        init_classifier(false);
+        init_classifier(true);
 
         ofLogNotice() << "Init successfull";
     }

example-trainer/src/example-trainer.cpp

@@ -72,7 +72,7 @@ class ofApp : public ofBaseApp{
 public:
 
     // main interface to everything tensorflow
-    ofxMSATensorFlow    msa_tf;
+    msa::tf::ofxMSATensorFlow    msa_tf;
 
     //--------------------------------------------------------------
     void setup(){

libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/.hg_archival.txt

@@ -0,0 +1,6 @@
+repo: 8a21fd850624c931e448cbcfb38168cb2717c790
+node: 70505a059011f440b3e6a916317beb6a6f680704
+branch: default
+latesttag: 3.3-beta1
+latesttagdistance: 233
+changessincelatesttag: 283

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/.hgeol renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/.hgeol

@@ -19,7 +19,7 @@ extern "C" {
 /** \ingroup Support_modules
   * \defgroup CholmodSupport_Module CholmodSupport module
   *
-  * This module provides an interface to the Cholmod library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
+  * This module provides an interface to the Cholmod library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
   * It provides the two following main factorization classes:
   * - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
   * - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/.hgignore renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/.hgignore

@@ -34,6 +34,7 @@
 #include "src/QR/HouseholderQR.h"
 #include "src/QR/FullPivHouseholderQR.h"
 #include "src/QR/ColPivHouseholderQR.h"
+#include "src/QR/CompleteOrthogonalDecomposition.h"
 #ifdef EIGEN_USE_LAPACKE
 #include "src/QR/HouseholderQR_MKL.h"
 #include "src/QR/ColPivHouseholderQR_MKL.h"

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/.hgtags renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/.hgtags

@@ -17,7 +17,7 @@
 /** \ingroup Support_modules
   * \defgroup SPQRSupport_Module SuiteSparseQR module
   * 
-  * This module provides an interface to the SPQR library, which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
+  * This module provides an interface to the SPQR library, which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
   *
   * \code
   * #include <Eigen/SPQRSupport>

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/CMakeLists.txt renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/CMakeLists.txt

@@ -19,7 +19,7 @@ extern "C" {
 /** \ingroup Support_modules
   * \defgroup UmfPackSupport_Module UmfPackSupport module
   *
-  * This module provides an interface to the UmfPack library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
+  * This module provides an interface to the UmfPack library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
   * It provides the following factorization class:
   * - class UmfPackLU: a multifrontal sequential LU factorization.
   *

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/COPYING.BSD renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/COPYING.BSD

@@ -273,9 +273,10 @@ class CholmodBase : public SparseSolverBase<Derived>
       const Index size = m_cholmodFactor->n;
       EIGEN_UNUSED_VARIABLE(size);
       eigen_assert(size==b.rows());
+      
+      // Cholmod needs column-major stoarge without inner-stride, which corresponds to the default behavior of Ref.
+      Ref<const Matrix<typename Rhs::Scalar,Dynamic,Dynamic,ColMajor> > b_ref(b.derived());
 
-      // note: cd stands for Cholmod Dense
-      Rhs& b_ref(b.const_cast_derived());
       cholmod_dense b_cd = viewAsCholmod(b_ref);
       cholmod_dense* x_cd = cholmod_solve(CHOLMOD_A, m_cholmodFactor, &b_cd, &m_cholmod);
       if(!x_cd)

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/COPYING.GPL renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/COPYING.GPL

@@ -103,7 +103,7 @@ template<typename Derived> class ArrayBase
     /** Special case of the template operator=, in order to prevent the compiler
       * from generating a default operator= (issue hit with g++ 4.1)
       */
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator=(const ArrayBase& other)
     {
       internal::call_assignment(derived(), other.derived());
@@ -112,28 +112,28 @@ template<typename Derived> class ArrayBase
 
     /** Set all the entries to \a value.
       * \sa DenseBase::setConstant(), DenseBase::fill() */
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator=(const Scalar &value)
     { Base::setConstant(value); return derived(); }
 
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator+=(const Scalar& scalar);
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator-=(const Scalar& scalar);
 
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator+=(const ArrayBase<OtherDerived>& other);
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator-=(const ArrayBase<OtherDerived>& other);
 
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator*=(const ArrayBase<OtherDerived>& other);
 
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Derived& operator/=(const ArrayBase<OtherDerived>& other);
 
   public:

libs/tensorflow/include/external/eigen_archive/eigen-eigen-b45554449873/COPYING.LGPL renamed to libs/tensorflow/include/external/eigen_archive/eigen-eigen-70505a059011/COPYING.LGPL

@@ -52,7 +52,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
                        const Scalar
                      >::type ScalarWithConstIfNotLvalue;
 
-    typedef typename internal::ref_selector<ExpressionType>::type NestedExpressionType;
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
 
     EIGEN_DEVICE_FUNC
     explicit EIGEN_STRONG_INLINE ArrayWrapper(ExpressionType& matrix) : m_expression(matrix) {}
@@ -67,7 +67,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
     inline Index innerStride() const { return m_expression.innerStride(); }
 
     EIGEN_DEVICE_FUNC
-    inline ScalarWithConstIfNotLvalue* data() { return m_expression.const_cast_derived().data(); }
+    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
     EIGEN_DEVICE_FUNC
     inline const Scalar* data() const { return m_expression.data(); }
 
@@ -80,13 +80,13 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
     EIGEN_DEVICE_FUNC
     inline Scalar& coeffRef(Index rowId, Index colId)
     {
-      return m_expression.const_cast_derived().coeffRef(rowId, colId);
+      return m_expression.coeffRef(rowId, colId);
     }
 
     EIGEN_DEVICE_FUNC
     inline const Scalar& coeffRef(Index rowId, Index colId) const
     {
-      return m_expression.const_cast_derived().coeffRef(rowId, colId);
+      return m_expression.coeffRef(rowId, colId);
     }
 
     EIGEN_DEVICE_FUNC
@@ -98,13 +98,13 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
     EIGEN_DEVICE_FUNC
     inline Scalar& coeffRef(Index index)
     {
-      return m_expression.const_cast_derived().coeffRef(index);
+      return m_expression.coeffRef(index);
     }
 
     EIGEN_DEVICE_FUNC
     inline const Scalar& coeffRef(Index index) const
     {
-      return m_expression.const_cast_derived().coeffRef(index);
+      return m_expression.coeffRef(index);
     }
 
     template<int LoadMode>
@@ -116,7 +116,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
     template<int LoadMode>
     inline void writePacket(Index rowId, Index colId, const PacketScalar& val)
     {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(rowId, colId, val);
+      m_expression.template writePacket<LoadMode>(rowId, colId, val);
     }
 
     template<int LoadMode>
@@ -128,7 +128,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
     template<int LoadMode>
     inline void writePacket(Index index, const PacketScalar& val)
     {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(index, val);
+      m_expression.template writePacket<LoadMode>(index, val);
     }
 
     template<typename Dest>
@@ -145,11 +145,11 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
     /** Forwards the resizing request to the nested expression
       * \sa DenseBase::resize(Index)  */
     EIGEN_DEVICE_FUNC
-    void resize(Index newSize) { m_expression.const_cast_derived().resize(newSize); }
+    void resize(Index newSize) { m_expression.resize(newSize); }
     /** Forwards the resizing request to the nested expression
       * \sa DenseBase::resize(Index,Index)*/
     EIGEN_DEVICE_FUNC
-    void resize(Index rows, Index cols) { m_expression.const_cast_derived().resize(rows,cols); }
+    void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
 
   protected:
     NestedExpressionType m_expression;
@@ -195,7 +195,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
                        const Scalar
                      >::type ScalarWithConstIfNotLvalue;
 
-    typedef typename internal::ref_selector<ExpressionType>::type NestedExpressionType;
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
 
     EIGEN_DEVICE_FUNC
     explicit inline MatrixWrapper(ExpressionType& matrix) : m_expression(matrix) {}
@@ -210,7 +210,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
     inline Index innerStride() const { return m_expression.innerStride(); }
 
     EIGEN_DEVICE_FUNC
-    inline ScalarWithConstIfNotLvalue* data() { return m_expression.const_cast_derived().data(); }
+    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
     EIGEN_DEVICE_FUNC
     inline const Scalar* data() const { return m_expression.data(); }
 
@@ -223,7 +223,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
     EIGEN_DEVICE_FUNC
     inline Scalar& coeffRef(Index rowId, Index colId)
     {
-      return m_expression.const_cast_derived().coeffRef(rowId, colId);
+      return m_expression.coeffRef(rowId, colId);
     }
 
     EIGEN_DEVICE_FUNC
@@ -241,13 +241,13 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
     EIGEN_DEVICE_FUNC
     inline Scalar& coeffRef(Index index)
     {
-      return m_expression.const_cast_derived().coeffRef(index);
+      return m_expression.coeffRef(index);
     }
 
     EIGEN_DEVICE_FUNC
     inline const Scalar& coeffRef(Index index) const
     {
-      return m_expression.const_cast_derived().coeffRef(index);
+      return m_expression.coeffRef(index);
     }
 
     template<int LoadMode>
@@ -259,7 +259,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
     template<int LoadMode>
     inline void writePacket(Index rowId, Index colId, const PacketScalar& val)
     {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(rowId, colId, val);
+      m_expression.template writePacket<LoadMode>(rowId, colId, val);
     }
 
     template<int LoadMode>
@@ -271,7 +271,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
     template<int LoadMode>
     inline void writePacket(Index index, const PacketScalar& val)
     {
-      m_expression.const_cast_derived().template writePacket<LoadMode>(index, val);
+      m_expression.template writePacket<LoadMode>(index, val);
     }
 
     EIGEN_DEVICE_FUNC
@@ -284,11 +284,11 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
     /** Forwards the resizing request to the nested expression
       * \sa DenseBase::resize(Index)  */
     EIGEN_DEVICE_FUNC
-    void resize(Index newSize) { m_expression.const_cast_derived().resize(newSize); }
+    void resize(Index newSize) { m_expression.resize(newSize); }
     /** Forwards the resizing request to the nested expression
       * \sa DenseBase::resize(Index,Index)*/
     EIGEN_DEVICE_FUNC
-    void resize(Index rows, Index cols) { m_expression.const_cast_derived().resize(rows,cols); }
+    void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
 
   protected:
     NestedExpressionType m_expression;