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https://github.com/ROCm/composable_kernel.git
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Add multiple A/B support (#906)
* add gridwise_multi_abd * move element_op into RunRead * merge element_wise op with data read * add multiABD example * allow packed elementwise_op * changed example * clean * clean * add is_detected * fix * minor fix * add scaleAdd_vec4 example --------- Co-authored-by: Jing Zhang <jizha@amd.com>
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zjing14
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck/utility/common_header.hpp"
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#include "ck/tensor_description/tensor_descriptor.hpp"
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#include "ck/tensor_description/tensor_descriptor_helper.hpp"
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#include "ck/tensor_description/cluster_descriptor.hpp"
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#include "ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v7r2.hpp"
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#include "ck/utility/is_detected.hpp"
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namespace ck {
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// Thread-group level multi-source, multi-destination tensor slice data movement
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// Assume:
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// 1. All sources and destinations are DynamicBuffer
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// 2. Same VectorDim and ScalerPerVector for all sources and destinations
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// 3. DstInMemOps are per destination tensor
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// 4. ThreadTransferSrcResetCoordinateAfterRunFlags are per source tensor
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// 5. ThreadTransferDstResetCoordinateAfterRunFlags are per destination tensor
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//
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// Does following things to avoid scratch memory issue
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// 1. Pass tensor descritpors by reference (or tuple of references)
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// 2. Does not keep reference to tensor descriptor
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// 3. Does not construct new tensor coordinate when call Run()
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template <typename ThreadGroup,
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typename SrcDatas,
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typename DstDatas,
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typename SrcDescs,
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typename DstDescs,
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typename ElementwiseOperation,
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typename DstInMemOps, // Sequence<InMemoryDataOperationEnum ...>
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typename SliceLengths,
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typename ThreadClusterLengths,
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typename ThreadClusterArrangeOrder,
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typename SrcDimAccessOrder,
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typename DstDimAccessOrder,
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index_t SrcVectorDim,
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index_t DstVectorDim,
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index_t SrcScalarPerVector,
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index_t DstScalarPerVector,
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typename ThreadTransferSrcResetCoordinateAfterRunFlags,
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typename ThreadTransferDstResetCoordinateAfterRunFlags>
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struct ThreadGroupTensorSliceTransfer_v7r2
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{
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static constexpr index_t nDim =
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remove_cvref_t<tuple_element_t<0, SrcDescs>>::GetNumOfDimension();
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static constexpr index_t nSrc = remove_cvref_t<SrcDescs>::Size();
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static constexpr index_t nDst = remove_cvref_t<DstDescs>::Size();
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using Index = MultiIndex<nDim>;
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static constexpr auto thread_slice_lengths = SliceLengths{} / ThreadClusterLengths{};
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__device__ constexpr ThreadGroupTensorSliceTransfer_v7r2(
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const SrcDescs& src_descs,
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const StaticallyIndexedArray<Index, nSrc>& src_block_slice_origins,
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const DstDescs& dst_descs,
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const StaticallyIndexedArray<Index, nDst>& dst_block_slice_origins,
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const ElementwiseOperation& element_op)
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: threadwise_transfer_(src_descs,
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StaticallyIndexedArray<Index, nSrc>{},
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dst_descs,
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StaticallyIndexedArray<Index, nDst>{},
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element_op)
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{
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static_assert(nSrc == SrcDatas::Size() && nSrc == SrcDescs::Size() &&
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nSrc == ThreadTransferSrcResetCoordinateAfterRunFlags::Size() &&
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nDst == DstDatas::Size() && nDst == DstDescs::Size() &&
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nDst == ThreadTransferDstResetCoordinateAfterRunFlags::Size(),
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"wrong!");
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static_for<0, nSrc, 1>{}([&](auto i) {
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static_assert(
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nDim == remove_cvref_t<tuple_element_t<i.value, SrcDescs>>::GetNumOfDimension(),
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"wrong!");
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});
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static_for<0, nDst, 1>{}([&](auto i) {
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static_assert(
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nDim == remove_cvref_t<tuple_element_t<i.value, DstDescs>>::GetNumOfDimension(),
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"wrong!");
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});
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static_assert(nDim == ThreadClusterLengths::Size() &&
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nDim == ThreadClusterArrangeOrder::Size() &&
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nDim == SrcDimAccessOrder::Size() && nDim == DstDimAccessOrder::Size(),
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"wrong! nDim not consistent");
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static_assert(
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is_same<SliceLengths, decltype(thread_slice_lengths * ThreadClusterLengths{})>{},
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"wrong! threads should be mapped to cover entire slicing window");
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static_assert(ThreadGroup::GetNumOfThread() >= thread_cluster_desc_.GetElementSize(),
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"wrong! ThreadGroup::GetNumOfThread() too small");
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if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
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ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
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{
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const auto thread_cluster_idx = thread_cluster_desc_.CalculateBottomIndex(
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make_multi_index(get_thread_local_1d_id()));
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const auto thread_data_idx_begin = thread_cluster_idx * thread_slice_lengths;
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const auto src_thread_slice_origins = generate_tuple(
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[&](auto i) { return src_block_slice_origins[i] + thread_data_idx_begin; },
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Number<nSrc>{});
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const auto dst_thread_slice_origins = generate_tuple(
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[&](auto i) { return dst_block_slice_origins[i] + thread_data_idx_begin; },
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Number<nDst>{});
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threadwise_transfer_.SetSrcSliceOrigins(src_descs, src_thread_slice_origins);
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threadwise_transfer_.SetDstSliceOrigins(dst_descs, dst_thread_slice_origins);
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}
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}
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template <typename SrcBuffers>
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__device__ void RunRead(const SrcDescs& src_descs, const SrcBuffers& src_bufs)
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{
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if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
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ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
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{
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threadwise_transfer_.RunRead(src_descs, src_bufs);
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}
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}
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template <typename T>
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using is_tuple = decltype(std::declval<T&>().IsTuple());
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template <typename DstBuffers>
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__device__ void RunWrite(const DstDescs& dst_descs, DstBuffers dst_bufs)
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{
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if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
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ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
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{
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if constexpr(is_detected<is_tuple, decltype(dst_bufs)>::value)
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threadwise_transfer_.RunWrite(dst_descs, dst_bufs);
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else
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threadwise_transfer_.RunWrite(dst_descs, tie(dst_bufs));
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}
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}
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template <typename SrcBuffers, typename DstBuffers>
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__device__ void Run(const SrcDescs& src_descs,
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const SrcBuffers& src_bufs,
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const DstDescs& dst_descs,
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DstBuffers dst_bufs)
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{
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RunRead(src_descs, src_bufs);
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RunWrite(dst_descs, dst_bufs);
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}
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template <index_t ISrc>
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__device__ void
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MoveSrcSliceWindow(const SrcDescs& src_descs, Number<ISrc> iSrc, const Index& step)
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{
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if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
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ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
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{
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threadwise_transfer_.MoveSrcSliceWindow(src_descs, iSrc, step);
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}
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}
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__device__ void MoveSrcSliceWindow(const SrcDescs& src_descs, const Index& step)
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{
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static_for<0, SrcDescs::Size(), 1>{}(
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[&](auto i) { MoveSrcSliceWindow(src_descs, i, step); });
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}
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template <index_t IDst>
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__device__ void
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MoveDstSliceWindow(const DstDescs& dst_descs, Number<IDst> iDst, const Index& step)
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{
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if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
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ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
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{
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threadwise_transfer_.MoveDstSliceWindow(dst_descs, iDst, step);
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}
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}
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__device__ void MoveDstSliceWindow(const DstDescs& dst_descs, const Index& step)
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{
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static_for<0, DstDescs::Size(), 1>{}(
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[&](auto i) { MoveDstSliceWindow(dst_descs, i, step); });
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}
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private:
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static constexpr auto thread_cluster_desc_ =
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make_cluster_descriptor(ThreadClusterLengths{}, ThreadClusterArrangeOrder{});
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using ThreadwiseTransfer =
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ThreadwiseTensorSliceTransfer_v7r2<SrcDatas,
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DstDatas,
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SrcDescs,
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DstDescs,
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ElementwiseOperation,
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DstInMemOps,
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decltype(thread_slice_lengths),
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SrcDimAccessOrder,
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DstDimAccessOrder,
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SrcVectorDim,
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DstVectorDim,
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SrcScalarPerVector,
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DstScalarPerVector,
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ThreadTransferSrcResetCoordinateAfterRunFlags,
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ThreadTransferDstResetCoordinateAfterRunFlags>;
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ThreadwiseTransfer threadwise_transfer_;
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};
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} // namespace ck
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