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Udated the Sizes class to work on AMD gpus without requiring a separate implementation
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@ -69,12 +69,7 @@ struct fixed_size_tensor_index_extraction_helper
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{
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const Index mult = (index == n-1) ? 1 : 0;
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return
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#ifdef EIGEN_USE_SYCL
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utility::tuple::get<n-1>(dimensions)
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#else
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array_get<n-1>(dimensions)
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#endif
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* mult +
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array_get<n-1>(dimensions) * mult +
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fixed_size_tensor_index_extraction_helper<Index, n - 1>::run(index, dimensions);
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}
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};
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@ -96,12 +91,12 @@ struct fixed_size_tensor_index_extraction_helper<Index, 0>
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// Fixed size
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#ifndef EIGEN_EMULATE_CXX11_META_H
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template <typename std::ptrdiff_t... Indices>
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struct Sizes : internal::numeric_list<std::ptrdiff_t, Indices...> {
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struct Sizes {
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typedef internal::numeric_list<std::ptrdiff_t, Indices...> Base;
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#ifdef EIGEN_USE_SYCL
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const decltype(utility::tuple::make_tuple(Indices...)) t= utility::tuple::make_tuple(Indices...);
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#endif
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const Base t = Base();
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static const std::ptrdiff_t total_size = internal::arg_prod(Indices...);
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static const size_t count = Base::count;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::ptrdiff_t rank() const {
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return Base::count;
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@ -129,20 +124,16 @@ struct Sizes : internal::numeric_list<std::ptrdiff_t, Indices...> {
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}
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::ptrdiff_t operator[] (const std::size_t index) const {
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#ifdef EIGEN_USE_SYCL
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return internal::fixed_size_tensor_index_extraction_helper<std::ptrdiff_t, Base::count>::run(index, t);
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#else
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return internal::fixed_size_tensor_index_extraction_helper<std::ptrdiff_t, Base::count>::run(index, *this);
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#endif
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}
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template <typename DenseIndex> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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size_t IndexOfColMajor(const array<DenseIndex, Base::count>& indices) const {
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return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count, false>::run(indices, *static_cast<const Base*>(this));
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return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count, false>::run(indices, t);
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}
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template <typename DenseIndex> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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size_t IndexOfRowMajor(const array<DenseIndex, Base::count>& indices) const {
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return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count, true>::run(indices, *static_cast<const Base*>(this));
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return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count, true>::run(indices, t);
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}
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};
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