mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 17:00:18 +00:00
add looping Orders into ford and static_ford
This commit is contained in:
@@ -199,7 +199,7 @@ struct BlockwiseGenericTensorSliceCopy_v1
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}
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__device__ void RunLoadRegisterBuffer(const Float* __restrict__ p_src,
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Float* __restrict__ p_Buffer) const
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Float* __restrict__ p_buffer) const
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{
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constexpr auto thread_sub_tensor_lengths = SubLengths{};
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@@ -216,24 +216,24 @@ struct BlockwiseGenericTensorSliceCopy_v1
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constexpr auto src_thread_data_multi_id_begin =
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repeat_multi_id * data_per_cluster_per_dims;
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constexpr auto Buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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constexpr auto buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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constexpr index_t src_offset =
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SrcDesc::GetOffsetFromMultiIndex(src_thread_data_multi_id_begin);
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constexpr index_t Buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(Buffer_data_multi_id_begin);
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constexpr index_t buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(buffer_data_multi_id_begin);
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#else
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ford<decltype(repeat_lengths)>{}([&](auto repeat_multi_id) {
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const auto src_thread_data_multi_id_begin = repeat_multi_id * data_per_cluster_per_dims;
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const auto Buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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const auto buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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const index_t src_offset =
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SrcDesc::GetOffsetFromMultiIndex(src_thread_data_multi_id_begin);
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const index_t Buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(Buffer_data_multi_id_begin);
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const index_t buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(buffer_data_multi_id_begin);
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#endif
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// By position the origin of the per-thread window at the point, where multi-index
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@@ -247,7 +247,7 @@ struct BlockwiseGenericTensorSliceCopy_v1
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p_src + src_offset + mThreadSrcOffset,
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make_zero_array<index_t, nDim>(),
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thread_tensor_desc,
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p_Buffer + Buffer_offset,
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p_buffer + buffer_offset,
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make_zero_array<index_t, nDim>(),
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thread_sub_tensor_lengths,
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SrcAccessOrder{},
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@@ -255,7 +255,7 @@ struct BlockwiseGenericTensorSliceCopy_v1
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});
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}
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__device__ void RunStoreRegisterBuffer(const Float* __restrict__ p_Buffer,
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__device__ void RunStoreRegisterBuffer(const Float* __restrict__ p_buffer,
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Float* __restrict__ p_dst) const
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{
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constexpr auto thread_sub_tensor_lengths = SubLengths{};
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@@ -270,23 +270,23 @@ struct BlockwiseGenericTensorSliceCopy_v1
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#if CK_EXPERIMENTAL_USE_MORE_COMPILE_STATIC_BLOCKWISE_GENERIC_SLICE_COPY_V1
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static_ford<decltype(repeat_lengths)>{}([&](auto repeat_multi_id) {
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constexpr auto Buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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constexpr auto buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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constexpr auto dst_data_multi_id_begin = repeat_multi_id * data_per_cluster_per_dims;
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constexpr index_t Buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(Buffer_data_multi_id_begin);
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constexpr index_t buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(buffer_data_multi_id_begin);
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constexpr index_t dst_offset =
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DstDesc::GetOffsetFromMultiIndex(dst_data_multi_id_begin);
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#else
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ford<decltype(repeat_lengths)>{}([&](auto repeat_multi_id) {
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const auto Buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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const auto buffer_data_multi_id_begin = repeat_multi_id * thread_sub_tensor_lengths;
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const auto dst_data_multi_id_begin = repeat_multi_id * data_per_cluster_per_dims;
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const index_t Buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(Buffer_data_multi_id_begin);
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const index_t buffer_offset =
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thread_tensor_desc.GetOffsetFromMultiIndex(buffer_data_multi_id_begin);
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const index_t dst_offset = DstDesc::GetOffsetFromMultiIndex(dst_data_multi_id_begin);
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#endif
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@@ -299,7 +299,7 @@ struct BlockwiseGenericTensorSliceCopy_v1
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// If in the future, you want to enable SubLengths > 1 at the merged dimension,
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// special care in implementation is needed
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threadwise_generic_tensor_slice_copy_v1(thread_tensor_desc,
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p_Buffer + Buffer_offset,
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p_buffer + buffer_offset,
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make_zero_array<index_t, nDim>(),
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DstDesc{},
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p_dst + dst_offset + mThreadDstOffset,
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@@ -312,10 +312,10 @@ struct BlockwiseGenericTensorSliceCopy_v1
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__device__ void Run(const Float* __restrict__ p_src, Float* __restrict__ p_dst) const
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{
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Float p_Buffer[GetRegisterBufferSize()];
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Float p_buffer[GetRegisterBufferSize()];
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RunLoadRegisterBuffer(p_src, p_Buffer);
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RunStoreRegisterBuffer(p_Buffer, p_dst);
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RunLoadRegisterBuffer(p_src, p_buffer);
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RunStoreRegisterBuffer(p_buffer, p_dst);
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}
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// When moving the slicing windows along a merged dimension, if the strides of the
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@@ -24,105 +24,120 @@ struct is_static<Sequence<Is...>> : integral_constant<bool, true>
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};
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// RemainLengths: Sequence<...>
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template <class RemainLengths>
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// Orders: Sequence<...>
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template <class RemainLengths, class Orders>
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struct static_ford_impl
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{
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// F signature: F(Sequence<...> multi_id)
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// CurrentMultiIndex: Sequence<...>
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template <class F, class CurrentMultiIndex>
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__host__ __device__ constexpr void operator()(F f, CurrentMultiIndex) const
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__host__ __device__ constexpr static_ford_impl()
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{
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static_assert(RemainLengths::GetSize() > 0, "wrong! should not get here");
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}
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// F signature: F(Sequence<...>)
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// CurrentOrderedId: Sequence<...>
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template <class F, class CurrentOrderedId>
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__host__ __device__ constexpr void operator()(F f, CurrentOrderedId) const
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{
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static_for<0, RemainLengths::Front(), 1>{}([=](auto I) {
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static_ford_impl<decltype(RemainLengths::PopFront())>{}(f,
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CurrentMultiIndex::PushBack(I));
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static_ford_impl<decltype(RemainLengths::PopFront()), Orders>{}(
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f, CurrentOrderedId::PushBack(I));
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});
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}
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};
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template <>
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struct static_ford_impl<Sequence<>>
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template <class Orders>
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struct static_ford_impl<Sequence<>, Orders>
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{
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// F signature: F(Sequence<...> multi_id)
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// CurrentMultiIndex: Sequence<...>
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template <class F, class CurrentMultiIndex>
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__host__ __device__ constexpr void operator()(F f, CurrentMultiIndex) const
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// F signature: F(Sequence<...>)
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// OrderedId: Sequence<...>
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template <class F, class OrderedId>
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__host__ __device__ constexpr void operator()(F f, OrderedId) const
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{
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f(CurrentMultiIndex{});
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// retrive unordered Id
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f(OrderedId::ReorderGivenOld2New(Orders{}));
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}
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};
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// Lengths is Sequence<...>
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template <class Lengths>
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// Lengths is Sequence<...>, it is the length of each dimension for N-dimensional loop
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// Orders is Sequence<...>, it is the order of dimension in which static_ford will loop over each
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// dimension
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template <class Lengths,
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class Orders = typename arithmetic_sequence_gen<0, Lengths::GetSize(), 1>::type>
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struct static_ford
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{
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// F signature: F(Sequence<...> multi_id)
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template <class F>
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__host__ __device__ constexpr void operator()(F f) const
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__host__ __device__ constexpr static_ford()
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{
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static_assert(Lengths::GetSize() > 0, "wrong! Lengths is empty");
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static_ford_impl<Lengths>{}(f, Sequence<>{});
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static_assert(Lengths::GetSize() == Orders::GetSize(), "wrong! inconsistent size");
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}
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};
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template <index_t RemainDim>
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struct ford_impl
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{
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// F signature: F(Array<...> multi_id)
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// CurrentMultiIndex: Array<...>
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// RemainLengths: Sequence<...>
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template <class F, class CurrentMultiIndex, class RemainLengths>
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__host__ __device__ constexpr void
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operator()(F f, CurrentMultiIndex current_multi_id, RemainLengths) const
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{
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static_assert(RemainLengths::GetSize() == RemainDim, "wrong!");
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static_assert(RemainDim > 1, "wrong!");
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constexpr auto next_length = RemainLengths{}.Front();
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for(index_t i = 0; i < next_length; ++i)
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{
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ford_impl<RemainDim - 1>{}(f, current_multi_id.PushBack(i), RemainLengths{}.PopFront());
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}
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}
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};
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template <>
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struct ford_impl<1>
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{
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// F signature: F(Array<...> multi_id)
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// CurrentMultiIndex: Array<...>
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// RemainLengths: Sequence<...>
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template <class F, class CurrentMultiIndex, class RemainLengths>
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__host__ __device__ constexpr void
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operator()(F f, CurrentMultiIndex current_multi_id, RemainLengths) const
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{
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static_assert(RemainLengths::GetSize() == 1, "wrong!");
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constexpr index_t last_length = RemainLengths{}.Front();
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for(index_t i = 0; i < last_length; ++i)
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{
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f(current_multi_id.PushBack(i));
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}
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}
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};
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// Lengths is Sequence<...>
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template <class Lengths>
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struct ford
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{
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// F signature: F(Array<...> multi_id)
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// F signature: F(Sequence<...> multi_id)
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// multi_id is the unordered multi-index
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template <class F>
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__host__ __device__ constexpr void operator()(F f) const
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{
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constexpr index_t first_length = Lengths{}.Front();
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constexpr auto ordered_lengths = Lengths::ReorderGivenNew2Old(Orders{});
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static_ford_impl<decltype(ordered_lengths), Orders>{}(f, Sequence<>{});
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}
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};
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for(index_t i = 0; i < first_length; ++i)
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// RemainLengths: Sequence<...>
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// Orders: Sequence<...>
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template <class RemainLengths, class Orders>
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struct ford_impl
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{
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__host__ __device__ constexpr ford_impl()
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{
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static_assert(RemainLengths::GetSize() > 0, "wrong! should not get here");
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}
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// F signature: F(Array<...> multi_id)
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// CurrentOrderdId: Array<...>
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template <class F, class CurrentOrderedId>
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__host__ __device__ constexpr void operator()(F f, CurrentOrderedId current_ordered_id) const
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{
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for(index_t i = 0; i < RemainLengths::Front(); ++i)
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{
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ford_impl<Lengths::GetSize() - 1>{}(f, Array<index_t, 1>{i}, Lengths{}.PopFront());
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ford_impl<decltype(RemainLengths::PopFront()), Orders>{}(
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f, current_ordered_id.PushBack(i));
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}
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}
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};
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template <class Orders>
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struct ford_impl<Sequence<>, Orders>
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{
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// F signature: F(Array<...> multi_id)
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// CurrentOrderdId: Array<...>
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template <class F, class CurrentOrderedId>
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__host__ __device__ constexpr void operator()(F f, CurrentOrderedId current_ordered_id) const
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{
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// retrive unordered Id
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f(reorder_array_given_old2new(current_ordered_id, Orders{}));
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}
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};
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// Lengths is Sequence<...>, it is the length of each dimension for N-dimensional loop
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// Orders is Sequence<...>, it is the order of dimension in which ford will loop over each
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// dimension
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template <class Lengths,
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class Orders = typename arithmetic_sequence_gen<0, Lengths::GetSize(), 1>::type>
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struct ford
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{
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__host__ __device__ constexpr ford()
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{
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static_assert(Lengths::GetSize() > 0, "wrong! Lengths is empty");
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static_assert(Lengths::GetSize() == Orders::GetSize(), "wrong! inconsistent size");
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}
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// F signature: F(Array<...> multi_id)
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// multi_id is the unordered multi-index
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template <class F>
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__host__ __device__ constexpr void operator()(F f) const
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{
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for(index_t i = 0; i < Lengths::Front(); ++i)
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{
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ford_impl<decltype(Lengths::PopFront()), Orders>{}(f, Array<index_t, 1>{i});
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}
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}
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};
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