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Merged in mehdi_goli/upstr_benoit/TensorSYCLImageVolumePatchFixed (pull request PR-14)
Applying Benoit's comment for Fixing ImageVolumePatch. * Applying Benoit's comment for Fixing ImageVolumePatch. Fixing conflict on cmake file. * Fixing dealocation of the memory in ImagePatch test for SYCL. * Fixing the automerge issue.
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@ -27,6 +27,7 @@ namespace Eigen {
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* patch_cols, and 1 for all the additional dimensions.
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*/
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namespace internal {
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template<DenseIndex Rows, DenseIndex Cols, typename XprType>
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struct traits<TensorImagePatchOp<Rows, Cols, XprType> > : public traits<XprType>
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{
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@ -71,12 +72,12 @@ class TensorImagePatchOp : public TensorBase<TensorImagePatchOp<Rows, Cols, XprT
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DenseIndex in_row_strides, DenseIndex in_col_strides,
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DenseIndex row_inflate_strides, DenseIndex col_inflate_strides,
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PaddingType padding_type, Scalar padding_value)
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: m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(false), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0),
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m_padding_type(padding_type), m_padding_value(padding_value) {}
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: m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(false), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0),
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m_padding_type(padding_type), m_padding_value(padding_value) {}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorImagePatchOp(const XprType& expr, DenseIndex patch_rows, DenseIndex patch_cols,
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DenseIndex row_strides, DenseIndex col_strides,
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@ -85,13 +86,31 @@ class TensorImagePatchOp : public TensorBase<TensorImagePatchOp<Rows, Cols, XprT
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DenseIndex padding_top, DenseIndex padding_bottom,
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DenseIndex padding_left, DenseIndex padding_right,
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Scalar padding_value)
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: m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(true), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
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m_padding_left(padding_left), m_padding_right(padding_right),
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m_padding_type(PADDING_VALID), m_padding_value(padding_value) {}
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: m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(true), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
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m_padding_left(padding_left), m_padding_right(padding_right),
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m_padding_type(PADDING_VALID), m_padding_value(padding_value) {}
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#ifdef EIGEN_USE_SYCL // this is work around for sycl as Eigen could not use c++11 deligate constructor feature
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorImagePatchOp(const XprType& expr, DenseIndex patch_rows, DenseIndex patch_cols,
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DenseIndex row_strides, DenseIndex col_strides,
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DenseIndex in_row_strides, DenseIndex in_col_strides,
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DenseIndex row_inflate_strides, DenseIndex col_inflate_strides,
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bool padding_explicit, DenseIndex padding_top, DenseIndex padding_bottom,
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DenseIndex padding_left, DenseIndex padding_right, PaddingType padding_type,
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Scalar padding_value)
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: m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(padding_explicit), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
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m_padding_left(padding_left), m_padding_right(padding_right),
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m_padding_type(padding_type), m_padding_value(padding_value) {}
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#endif
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EIGEN_DEVICE_FUNC
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DenseIndex patch_rows() const { return m_patch_rows; }
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@ -172,7 +191,11 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
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RawAccess = false
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};
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
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#ifdef __SYCL_DEVICE_ONLY__
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator( const XprType op, const Device& device)
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#else
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator( const XprType& op, const Device& device)
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#endif
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: m_impl(op.expression(), device)
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#ifdef EIGEN_USE_SYCL
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, m_op(op)
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@ -429,6 +452,7 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; }
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#ifdef EIGEN_USE_SYCL
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// Required by SYCL in order to construct the expression tree on the device
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const XprType& xpr() const { return m_op; }
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#endif
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@ -511,10 +535,10 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
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Scalar m_paddingValue;
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TensorEvaluator<ArgType, Device> m_impl;
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#ifdef EIGEN_USE_SYCL
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const XprType& m_op;
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#endif
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#ifdef EIGEN_USE_SYCL
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// Required for SYCL in order to construct the expression tree on the device
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XprType m_op;
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#endif
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};
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@ -448,8 +448,8 @@ struct ExprConstructor<CVQual TensorImagePatchOp<Rows, Cols, OrigXprType>, CVQu
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template <typename FuncDetector>\
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ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\
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: xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.m_patch_rows, funcD.m_patch_cols, funcD.m_row_strides, funcD.m_col_strides,\
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funcD.m_in_row_strides, funcD.m_in_col_strides, funcD.m_row_inflate_strides, funcD.m_col_inflate_strides, \
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funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, funcD.m_padding_value, funcD.m_padding_type, funcD.m_padding_explicit){}\
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funcD.m_in_row_strides, funcD.m_in_col_strides, funcD.m_row_inflate_strides, funcD.m_col_inflate_strides, funcD.m_padding_explicit, \
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funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, funcD.m_padding_type, funcD.m_padding_value){}\
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};
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SYCLTENSORIMAGEPATCHOPEXPR(const)
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@ -468,8 +468,8 @@ struct ExprConstructor<CVQual TensorVolumePatchOp<Planes, Rows, Cols, OrigXprTy
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ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\
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: xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.m_patch_planes, funcD.m_patch_rows, funcD.m_patch_cols, funcD.m_plane_strides, funcD.m_row_strides, funcD.m_col_strides,\
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funcD.m_in_plane_strides, funcD.m_in_row_strides, funcD.m_in_col_strides,funcD.m_plane_inflate_strides, funcD.m_row_inflate_strides, funcD.m_col_inflate_strides, \
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funcD.m_padding_top_z, funcD.m_padding_bottom_z, funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, funcD.m_padding_value,\
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funcD.m_padding_type, funcD.m_padding_explicit){\
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funcD.m_padding_explicit, funcD.m_padding_top_z, funcD.m_padding_bottom_z, funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, \
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funcD.m_padding_type, funcD.m_padding_value ){\
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}\
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};
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@ -22,6 +22,7 @@ namespace Eigen {
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* dimensions.
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*/
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namespace internal {
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template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType>
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struct traits<TensorVolumePatchOp<Planes, Rows, Cols, XprType> > : public traits<XprType>
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{
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@ -34,6 +35,7 @@ struct traits<TensorVolumePatchOp<Planes, Rows, Cols, XprType> > : public traits
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static const int NumDimensions = XprTraits::NumDimensions + 1;
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static const int Layout = XprTraits::Layout;
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typedef typename XprTraits::PointerType PointerType;
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};
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template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType>
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@ -66,12 +68,12 @@ class TensorVolumePatchOp : public TensorBase<TensorVolumePatchOp<Planes, Rows,
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DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides,
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DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides,
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PaddingType padding_type, Scalar padding_value)
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: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(false), m_padding_top_z(0), m_padding_bottom_z(0), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0),
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m_padding_type(padding_type), m_padding_value(padding_value) {}
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: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(false), m_padding_top_z(0), m_padding_bottom_z(0), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0),
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m_padding_type(padding_type), m_padding_value(padding_value) {}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols,
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DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides,
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@ -81,13 +83,31 @@ class TensorVolumePatchOp : public TensorBase<TensorVolumePatchOp<Planes, Rows,
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DenseIndex padding_top, DenseIndex padding_bottom,
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DenseIndex padding_left, DenseIndex padding_right,
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Scalar padding_value)
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: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(true), m_padding_top_z(padding_top_z), m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
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m_padding_left(padding_left), m_padding_right(padding_right),
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m_padding_type(PADDING_VALID), m_padding_value(padding_value) {}
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: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
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m_padding_explicit(true), m_padding_top_z(padding_top_z), m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
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m_padding_left(padding_left), m_padding_right(padding_right),
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m_padding_type(PADDING_VALID), m_padding_value(padding_value) {}
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#ifdef EIGEN_USE_SYCL // this is work around for sycl as Eigen could not use c++11 deligate constructor feature
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols,
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DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides,
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DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides,
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DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides,
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bool padding_explicit, DenseIndex padding_top_z, DenseIndex padding_bottom_z,
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DenseIndex padding_top, DenseIndex padding_bottom, DenseIndex padding_left,
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DenseIndex padding_right, PaddingType padding_type, Scalar padding_value)
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: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
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m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
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m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
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m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides),
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m_col_inflate_strides(col_inflate_strides), m_padding_explicit(padding_explicit), m_padding_top_z(padding_top_z),
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m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom), m_padding_left(padding_left),
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m_padding_right(padding_right), m_padding_type(padding_type), m_padding_value(padding_value) {}
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#endif
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EIGEN_DEVICE_FUNC
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DenseIndex patch_planes() const { return m_patch_planes; }
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@ -515,6 +535,7 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
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const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; }
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#ifdef EIGEN_USE_SYCL
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// Required by SYCL in order to construct the expression on the device
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const XprType& xpr() const { return m_op; }
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#endif
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@ -614,8 +635,10 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
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TensorEvaluator<ArgType, Device> m_impl;
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#ifdef EIGEN_USE_SYCL
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// Required by SYCL in order to construct the expression on the device
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XprType m_op;
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#endif
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};
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@ -13,7 +13,7 @@
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#define EIGEN_TEST_NO_LONGDOUBLE
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#define EIGEN_TEST_NO_COMPLEX
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#define EIGEN_TEST_FUNC cxx11_tensor_image_patchOP_sycl
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#define EIGEN_TEST_FUNC cxx11_tensor_image_patch_sycl
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#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t
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#define EIGEN_USE_SYCL
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@ -1084,7 +1084,7 @@ test_patch_padding_same_sycl<DataType, int64_t>(sycl_device);
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test_patch_no_extra_dim_sycl<DataType, int64_t>(sycl_device);
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test_imagenet_patches_sycl<DataType, int64_t>(sycl_device);
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}
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void test_cxx11_tensor_image_patchOP_sycl()
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void test_cxx11_tensor_image_patch_sycl()
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{
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for (const auto& device :Eigen::get_sycl_supported_devices()) {
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CALL_SUBTEST(sycl_tensor_image_patch_test_per_device<float>(device));
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#define EIGEN_TEST_NO_LONGDOUBLE
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#define EIGEN_TEST_NO_COMPLEX
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#define EIGEN_TEST_FUNC cxx11_tensor_volume_patchOP_sycl
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#define EIGEN_TEST_FUNC cxx11_tensor_volume_patch_sycl
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#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t
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#define EIGEN_USE_SYCL
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@ -214,7 +214,7 @@ std::cout << "Running on " << s.template get_info<cl::sycl::info::device::name>(
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test_single_voxel_patch_sycl<DataType, int64_t>(sycl_device);
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test_entire_volume_patch_sycl<DataType, int64_t>(sycl_device);
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}
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void test_cxx11_tensor_volume_patchOP_sycl()
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void test_cxx11_tensor_volume_patch_sycl()
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{
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for (const auto& device :Eigen::get_sycl_supported_devices()) {
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CALL_SUBTEST(sycl_tensor_volume_patch_test_per_device<float>(device));
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