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iGate the sycl specific code under a EIGEN_USE_SYCL define

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This commit is contained in:
Benoit Steiner 2017-04-04 09:54:31 -07:00
parent bc050ea9f0
commit 63840d4666
2 changed files with 13 additions and 7 deletions
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4
unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h
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@ -119,11 +119,11 @@ struct TensorEvaluator<const TensorIndexTupleOp<ArgType>, Device>
EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
// required by sycl #ifdef EIGEN_USE_SYCL
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const { EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const {
return m_impl; return m_impl;
} }
#endif
protected: protected:
TensorEvaluator<ArgType, Device> m_impl; TensorEvaluator<ArgType, Device> m_impl;

16
unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h
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@ -70,7 +70,7 @@ class TensorImagePatchOp : public TensorBase<TensorImagePatchOp<Rows, Cols, XprT
DenseIndex in_row_strides, DenseIndex in_col_strides, DenseIndex in_row_strides, DenseIndex in_col_strides,
DenseIndex row_inflate_strides, DenseIndex col_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides,
PaddingType padding_type, Scalar padding_value) PaddingType padding_type, Scalar padding_value)
: m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols), : m_xpr(expr), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
m_row_strides(row_strides), m_col_strides(col_strides), m_row_strides(row_strides), m_col_strides(col_strides),
m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
@ -172,7 +172,10 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
}; };
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
: m_impl(op.expression(), device), m_op(op) : m_impl(op.expression(), device)
#ifdef EIGEN_USE_SYCL
, m_op(op)
#endif
{ {
EIGEN_STATIC_ASSERT((NumDims >= 4), YOU_MADE_A_PROGRAMMING_MISTAKE); EIGEN_STATIC_ASSERT((NumDims >= 4), YOU_MADE_A_PROGRAMMING_MISTAKE);
@ -423,9 +426,10 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; } EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; }
// required by sycl
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const XprType& xpr() const { return m_op; }
#ifdef EIGEN_USE_SYCL
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const XprType& xpr() const { return m_op; }
#endif
Index rowPaddingTop() const { return m_rowPaddingTop; } Index rowPaddingTop() const { return m_rowPaddingTop; }
Index colPaddingLeft() const { return m_colPaddingLeft; } Index colPaddingLeft() const { return m_colPaddingLeft; }
@ -506,8 +510,10 @@ struct TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>, Device>
Scalar m_paddingValue; Scalar m_paddingValue;
TensorEvaluator<ArgType, Device> m_impl; TensorEvaluator<ArgType, Device> m_impl;
// required for sycl
#ifdef EIGEN_USE_SYCL
const XprType& m_op; const XprType& m_op;
#endif
}; };