/* //@HEADER // ************************************************************************ // // Kokkos v. 3.0 // Copyright (2020) National Technology & Engineering // Solutions of Sandia, LLC (NTESS). // // Under the terms of Contract DE-NA0003525 with NTESS, // the U.S. Government retains certain rights in this software. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // 1. Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // // 2. Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // // 3. 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Trott (crtrott@sandia.gov) // // ************************************************************************ //@HEADER */ #include #include #include #include #include #define OFFSET_LIST_MAX_SIZE 100 namespace Kokkos { struct LayoutSelective { //! Tag this class as a kokkos array layout using array_layout = LayoutSelective; size_t offset_list[OFFSET_LIST_MAX_SIZE]; size_t list_size; enum : bool { is_extent_constructible = false }; KOKKOS_INLINE_FUNCTION LayoutSelective() { for (int i = 0; i < OFFSET_LIST_MAX_SIZE; i++) { offset_list[i] = i; } } KOKKOS_INLINE_FUNCTION void assign(const size_t ol_[], const size_t size_) { list_size = size_; for (int i = 0; i < (int)list_size; i++) { offset_list[i] = ol_[i]; } } KOKKOS_INLINE_FUNCTION LayoutSelective(LayoutSelective const& rhs) { assign(rhs.offset_list, rhs.list_size); } KOKKOS_INLINE_FUNCTION LayoutSelective(LayoutSelective&& rhs) { assign(rhs.offset_list, rhs.list_size); } KOKKOS_INLINE_FUNCTION LayoutSelective& operator=(LayoutSelective const& rhs) { assign(rhs.offset_list, rhs.list_size); return *this; } KOKKOS_INLINE_FUNCTION LayoutSelective& operator=(LayoutSelective&& rhs) { assign(rhs.offset_list, rhs.list_size); return *this; } KOKKOS_INLINE_FUNCTION explicit LayoutSelective(const size_t ol_[], const size_t size_) { assign(ol_, size_); } KOKKOS_INLINE_FUNCTION size_t offset(size_t ndx) const { KOKKOS_ASSERT(ndx < list_size); return offset_list[ndx]; } }; namespace Impl { template struct ViewOffset { public: using is_mapping_plugin = std::true_type; using is_regular = std::false_type; using size_type = size_t; using dimension_type = Dimension; using array_layout = Kokkos::LayoutSelective; //---------------------------------------- dimension_type m_dim; array_layout m_selective; // rank 1 template KOKKOS_INLINE_FUNCTION size_type operator()(I0 const& i0) const { return m_selective.offset(i0); } // This ViewOffset and the underlying layout only supports rank 1 Views //---------------------------------------- KOKKOS_INLINE_FUNCTION array_layout layout() const { return array_layout(); } KOKKOS_INLINE_FUNCTION constexpr size_type dimension_0() const { return m_dim.N0; } /* Cardinality of the domain index space */ KOKKOS_INLINE_FUNCTION constexpr size_type size() const { return m_dim.N0; } public: /* Span of the range space, largest stride * dimension */ KOKKOS_INLINE_FUNCTION constexpr size_type span() const { return m_dim.N0; } KOKKOS_INLINE_FUNCTION constexpr bool span_is_contiguous() const { return false; } /* Strides of dimensions */ KOKKOS_INLINE_FUNCTION constexpr size_type stride_0() const { return 1; } // Stride with [ rank ] value is the total length template KOKKOS_INLINE_FUNCTION void stride(iType* const s) const { if (0 < dimension_type::rank) { s[0] = 1; } for (int i = 1; i < 8; i++) s[i] = 0; s[dimension_type::rank] = span(); } //---------------------------------------- ViewOffset() = default; ViewOffset(const ViewOffset&) = default; ViewOffset& operator=(const ViewOffset&) = default; KOKKOS_INLINE_FUNCTION ViewOffset(std::integral_constant const&, Kokkos::LayoutSelective const& rhs) : m_dim(rhs.list_size, 0, 0, 0, 0, 0, 0, 0), m_selective(rhs) {} }; } // namespace Impl } // namespace Kokkos namespace Test { class InnerClass { public: long data[100]; KOKKOS_INLINE_FUNCTION InnerClass() { for (int i = 0; i < 100; i++) { data[i] = (long)i; } } KOKKOS_INLINE_FUNCTION void update(long d) { for (int i = 0; i < 100; i++) { data[i] += d; } } KOKKOS_INLINE_FUNCTION void set(long d) { for (int i = 0; i < 100; i++) { data[i] = d; } } }; template struct TestLayout { const int N = 100; size_t offsets[2] = {20, 40}; using Layout = Kokkos::LayoutRight; using SubLayout = Kokkos::LayoutSelective; // Allocate y, x vectors and Matrix A on device. using ViewVectorType = Kokkos::View; using SubViewVectorType = Kokkos::View; struct InitTag {}; struct UpdateTag {}; ViewVectorType a; SubLayout sl; SubViewVectorType b; TestLayout() : a("a", N), sl(offsets, 2), b(a.data(), sl) {} void run_test() { Kokkos::parallel_for(Kokkos::RangePolicy(0, N), *this); Kokkos::parallel_for(Kokkos::RangePolicy(0, 2), *this); validate_results(); } // set all values KOKKOS_INLINE_FUNCTION void operator()(const InitTag&, const int i) const { a(i).update(i); } // update selective values KOKKOS_INLINE_FUNCTION void operator()(const UpdateTag&, const int i) const { b(i).set(200 * (i + 1)); } void validate_results() { auto a_h = Kokkos::create_mirror_view(a); Kokkos::deep_copy(a_h, a); ASSERT_EQ(a_h(20).data[0], 200); ASSERT_EQ(a_h(40).data[0], 400); } }; TEST(TEST_CATEGORY, view_irregular_layout) { TestLayout tl; tl.run_test(); } } // namespace Test