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Guard the sycl specific code with a #ifdef EIGEN_USE_SYCL
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@ -99,11 +99,14 @@ struct TensorEvaluator<const TensorPatchOp<PatchDim, ArgType>, Device>
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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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: m_impl(op.expression(), device), patch_dims(op.patch_dims())
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: m_impl(op.expression(), device)
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#ifdef EIGEN_USE_SYCL
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, m_patch_dims(op.patch_dims())
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#endif
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{
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Index num_patches = 1;
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const typename TensorEvaluator<ArgType, Device>::Dimensions& input_dims = m_impl.dimensions();
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// const PatchDim& patch_dims = op.patch_dims();
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const PatchDim& patch_dims = op.patch_dims();
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if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
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for (int i = 0; i < NumDims-1; ++i) {
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m_dimensions[i] = patch_dims[i];
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@ -257,7 +260,7 @@ struct TensorEvaluator<const TensorPatchOp<PatchDim, ArgType>, Device>
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#ifdef EIGEN_USE_SYCL
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const PatchDim& functor() const { return patch_dims; }
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const PatchDim& functor() const { return m_patch_dims; }
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#endif
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protected:
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@ -267,8 +270,10 @@ struct TensorEvaluator<const TensorPatchOp<PatchDim, ArgType>, Device>
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array<Index, NumDims-1> m_patchStrides;
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TensorEvaluator<ArgType, Device> m_impl;
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// required by sycl
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const PatchDim patch_dims;
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#ifdef EIGEN_USE_SYCL
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const PatchDim m_patch_dims;
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#endif
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};
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} // end namespace Eigen
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