| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Mehdi Goli Codeplay Software Ltd. |
| // Ralph Potter Codeplay Software Ltd. |
| // Luke Iwanski Codeplay Software Ltd. |
| // Contact: <eigen@codeplay.com> |
| // |
| // This Source Code Form is subject to the terms of the Mozilla |
| // Public License v. 2.0. If a copy of the MPL was not distributed |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| |
| /***************************************************************** |
| * TensorScanSycl.h |
| * |
| * \brief: |
| * Tensor Scan Sycl implement the extend version of |
| * "Efficient parallel scan algorithms for GPUs." .for Tensor operations. |
| * The algorithm requires up to 3 stage (consequently 3 kernels) depending on |
| * the size of the tensor. In the first kernel (ScanKernelFunctor), each |
| * threads within the work-group individually reduces the allocated elements per |
| * thread in order to reduces the total number of blocks. In the next step all |
| * thread within the work-group will reduce the associated blocks into the |
| * temporary buffers. In the next kernel(ScanBlockKernelFunctor), the temporary |
| * buffer is given as an input and all the threads within a work-group scan and |
| * reduces the boundaries between the blocks (generated from the previous |
| * kernel). and write the data on the temporary buffer. If the second kernel is |
| * required, the third and final kernel (ScanAdjustmentKernelFunctor) will |
| * adjust the final result into the output buffer. |
| * The original algorithm for the parallel prefix sum can be found here: |
| * |
| * Sengupta, Shubhabrata, Mark Harris, and Michael Garland. "Efficient parallel |
| * scan algorithms for GPUs." NVIDIA, Santa Clara, CA, Tech. Rep. NVR-2008-003 |
| *1, no. 1 (2008): 1-17. |
| *****************************************************************/ |
| |
| #ifndef UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSOR_SYCL_SYCL_HPP |
| #define UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSOR_SYCL_SYCL_HPP |
| |
| #include "./InternalHeaderCheck.h" |
| |
| namespace Eigen { |
| namespace TensorSycl { |
| namespace internal { |
| |
| #ifndef EIGEN_SYCL_MAX_GLOBAL_RANGE |
| #define EIGEN_SYCL_MAX_GLOBAL_RANGE (EIGEN_SYCL_LOCAL_THREAD_DIM0 * EIGEN_SYCL_LOCAL_THREAD_DIM1 * 4) |
| #endif |
| |
| template <typename index_t> |
| struct ScanParameters { |
| // must be power of 2 |
| static EIGEN_CONSTEXPR index_t ScanPerThread = 8; |
| const index_t total_size; |
| const index_t non_scan_size; |
| const index_t scan_size; |
| const index_t non_scan_stride; |
| const index_t scan_stride; |
| const index_t panel_threads; |
| const index_t group_threads; |
| const index_t block_threads; |
| const index_t elements_per_group; |
| const index_t elements_per_block; |
| const index_t loop_range; |
| |
| ScanParameters(index_t total_size_, index_t non_scan_size_, index_t scan_size_, index_t non_scan_stride_, |
| index_t scan_stride_, index_t panel_threads_, index_t group_threads_, index_t block_threads_, |
| index_t elements_per_group_, index_t elements_per_block_, index_t loop_range_) |
| : total_size(total_size_), |
| non_scan_size(non_scan_size_), |
| scan_size(scan_size_), |
| non_scan_stride(non_scan_stride_), |
| scan_stride(scan_stride_), |
| panel_threads(panel_threads_), |
| group_threads(group_threads_), |
| block_threads(block_threads_), |
| elements_per_group(elements_per_group_), |
| elements_per_block(elements_per_block_), |
| loop_range(loop_range_) {} |
| }; |
| |
| enum class scan_step { first, second }; |
| template <typename Evaluator, typename CoeffReturnType, typename OutAccessor, typename Op, typename Index, |
| scan_step stp> |
| struct ScanKernelFunctor { |
| typedef cl::sycl::accessor<CoeffReturnType, 1, cl::sycl::access::mode::read_write, cl::sycl::access::target::local> |
| LocalAccessor; |
| static EIGEN_CONSTEXPR int PacketSize = ScanParameters<Index>::ScanPerThread / 2; |
| |
| LocalAccessor scratch; |
| Evaluator dev_eval; |
| OutAccessor out_accessor; |
| OutAccessor temp_accessor; |
| const ScanParameters<Index> scanParameters; |
| Op accumulator; |
| const bool inclusive; |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ScanKernelFunctor(LocalAccessor scratch_, const Evaluator dev_eval_, |
| OutAccessor out_accessor_, OutAccessor temp_accessor_, |
| const ScanParameters<Index> scanParameters_, Op accumulator_, |
| const bool inclusive_) |
| : scratch(scratch_), |
| dev_eval(dev_eval_), |
| out_accessor(out_accessor_), |
| temp_accessor(temp_accessor_), |
| scanParameters(scanParameters_), |
| accumulator(accumulator_), |
| inclusive(inclusive_) {} |
| |
| template <scan_step sst = stp, typename Input> |
| std::enable_if_t<sst == scan_step::first, CoeffReturnType> EIGEN_DEVICE_FUNC |
| EIGEN_STRONG_INLINE |
| read(const Input &inpt, Index global_id) { |
| return inpt.coeff(global_id); |
| } |
| |
| template <scan_step sst = stp, typename Input> |
| std::enable_if_t<sst != scan_step::first, CoeffReturnType> EIGEN_DEVICE_FUNC |
| EIGEN_STRONG_INLINE |
| read(const Input &inpt, Index global_id) { |
| return inpt[global_id]; |
| } |
| |
| template <scan_step sst = stp, typename InclusiveOp> |
| std::enable_if_t<sst == scan_step::first> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE |
| first_step_inclusive_Operation(InclusiveOp inclusive_op) { |
| inclusive_op(); |
| } |
| |
| template <scan_step sst = stp, typename InclusiveOp> |
| std::enable_if_t<sst != scan_step::first> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE |
| first_step_inclusive_Operation(InclusiveOp) {} |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void operator()(cl::sycl::nd_item<1> itemID) { |
| auto out_ptr = out_accessor.get_pointer(); |
| auto tmp_ptr = temp_accessor.get_pointer(); |
| auto scratch_ptr = scratch.get_pointer().get(); |
| |
| for (Index loop_offset = 0; loop_offset < scanParameters.loop_range; loop_offset++) { |
| Index data_offset = (itemID.get_global_id(0) + (itemID.get_global_range(0) * loop_offset)); |
| Index tmp = data_offset % scanParameters.panel_threads; |
| const Index panel_id = data_offset / scanParameters.panel_threads; |
| const Index group_id = tmp / scanParameters.group_threads; |
| tmp = tmp % scanParameters.group_threads; |
| const Index block_id = tmp / scanParameters.block_threads; |
| const Index local_id = tmp % scanParameters.block_threads; |
| // we put one element per packet in scratch_mem |
| const Index scratch_stride = scanParameters.elements_per_block / PacketSize; |
| const Index scratch_offset = (itemID.get_local_id(0) / scanParameters.block_threads) * scratch_stride; |
| CoeffReturnType private_scan[ScanParameters<Index>::ScanPerThread]; |
| CoeffReturnType inclusive_scan; |
| // the actual panel size is scan_size * non_scan_size. |
| // elements_per_panel is roundup to power of 2 for binary tree |
| const Index panel_offset = panel_id * scanParameters.scan_size * scanParameters.non_scan_size; |
| const Index group_offset = group_id * scanParameters.non_scan_stride; |
| // This will be effective when the size is bigger than elements_per_block |
| const Index block_offset = block_id * scanParameters.elements_per_block * scanParameters.scan_stride; |
| const Index thread_offset = (ScanParameters<Index>::ScanPerThread * local_id * scanParameters.scan_stride); |
| const Index global_offset = panel_offset + group_offset + block_offset + thread_offset; |
| Index next_elements = 0; |
| EIGEN_UNROLL_LOOP |
| for (int i = 0; i < ScanParameters<Index>::ScanPerThread; i++) { |
| Index global_id = global_offset + next_elements; |
| private_scan[i] = ((((block_id * scanParameters.elements_per_block) + |
| (ScanParameters<Index>::ScanPerThread * local_id) + i) < scanParameters.scan_size) && |
| (global_id < scanParameters.total_size)) |
| ? read(dev_eval, global_id) |
| : accumulator.initialize(); |
| next_elements += scanParameters.scan_stride; |
| } |
| first_step_inclusive_Operation([&]() EIGEN_DEVICE_FUNC { |
| if (inclusive) { |
| inclusive_scan = private_scan[ScanParameters<Index>::ScanPerThread - 1]; |
| } |
| }); |
| // This for loop must be 2 |
| EIGEN_UNROLL_LOOP |
| for (int packetIndex = 0; packetIndex < ScanParameters<Index>::ScanPerThread; packetIndex += PacketSize) { |
| Index private_offset = 1; |
| // build sum in place up the tree |
| EIGEN_UNROLL_LOOP |
| for (Index d = PacketSize >> 1; d > 0; d >>= 1) { |
| EIGEN_UNROLL_LOOP |
| for (Index l = 0; l < d; l++) { |
| Index ai = private_offset * (2 * l + 1) - 1 + packetIndex; |
| Index bi = private_offset * (2 * l + 2) - 1 + packetIndex; |
| CoeffReturnType accum = accumulator.initialize(); |
| accumulator.reduce(private_scan[ai], &accum); |
| accumulator.reduce(private_scan[bi], &accum); |
| private_scan[bi] = accumulator.finalize(accum); |
| } |
| private_offset *= 2; |
| } |
| scratch_ptr[2 * local_id + (packetIndex / PacketSize) + scratch_offset] = |
| private_scan[PacketSize - 1 + packetIndex]; |
| private_scan[PacketSize - 1 + packetIndex] = accumulator.initialize(); |
| // traverse down tree & build scan |
| EIGEN_UNROLL_LOOP |
| for (Index d = 1; d < PacketSize; d *= 2) { |
| private_offset >>= 1; |
| EIGEN_UNROLL_LOOP |
| for (Index l = 0; l < d; l++) { |
| Index ai = private_offset * (2 * l + 1) - 1 + packetIndex; |
| Index bi = private_offset * (2 * l + 2) - 1 + packetIndex; |
| CoeffReturnType accum = accumulator.initialize(); |
| accumulator.reduce(private_scan[ai], &accum); |
| accumulator.reduce(private_scan[bi], &accum); |
| private_scan[ai] = private_scan[bi]; |
| private_scan[bi] = accumulator.finalize(accum); |
| } |
| } |
| } |
| |
| Index offset = 1; |
| // build sum in place up the tree |
| for (Index d = scratch_stride >> 1; d > 0; d >>= 1) { |
| // Synchronise |
| itemID.barrier(cl::sycl::access::fence_space::local_space); |
| if (local_id < d) { |
| Index ai = offset * (2 * local_id + 1) - 1 + scratch_offset; |
| Index bi = offset * (2 * local_id + 2) - 1 + scratch_offset; |
| CoeffReturnType accum = accumulator.initialize(); |
| accumulator.reduce(scratch_ptr[ai], &accum); |
| accumulator.reduce(scratch_ptr[bi], &accum); |
| scratch_ptr[bi] = accumulator.finalize(accum); |
| } |
| offset *= 2; |
| } |
| // Synchronise |
| itemID.barrier(cl::sycl::access::fence_space::local_space); |
| // next step optimisation |
| if (local_id == 0) { |
| if (((scanParameters.elements_per_group / scanParameters.elements_per_block) > 1)) { |
| const Index temp_id = panel_id * (scanParameters.elements_per_group / scanParameters.elements_per_block) * |
| scanParameters.non_scan_size + |
| group_id * (scanParameters.elements_per_group / scanParameters.elements_per_block) + |
| block_id; |
| tmp_ptr[temp_id] = scratch_ptr[scratch_stride - 1 + scratch_offset]; |
| } |
| // clear the last element |
| scratch_ptr[scratch_stride - 1 + scratch_offset] = accumulator.initialize(); |
| } |
| // traverse down tree & build scan |
| for (Index d = 1; d < scratch_stride; d *= 2) { |
| offset >>= 1; |
| // Synchronise |
| itemID.barrier(cl::sycl::access::fence_space::local_space); |
| if (local_id < d) { |
| Index ai = offset * (2 * local_id + 1) - 1 + scratch_offset; |
| Index bi = offset * (2 * local_id + 2) - 1 + scratch_offset; |
| CoeffReturnType accum = accumulator.initialize(); |
| accumulator.reduce(scratch_ptr[ai], &accum); |
| accumulator.reduce(scratch_ptr[bi], &accum); |
| scratch_ptr[ai] = scratch_ptr[bi]; |
| scratch_ptr[bi] = accumulator.finalize(accum); |
| } |
| } |
| // Synchronise |
| itemID.barrier(cl::sycl::access::fence_space::local_space); |
| // This for loop must be 2 |
| EIGEN_UNROLL_LOOP |
| for (int packetIndex = 0; packetIndex < ScanParameters<Index>::ScanPerThread; packetIndex += PacketSize) { |
| EIGEN_UNROLL_LOOP |
| for (Index i = 0; i < PacketSize; i++) { |
| CoeffReturnType accum = private_scan[packetIndex + i]; |
| accumulator.reduce(scratch_ptr[2 * local_id + (packetIndex / PacketSize) + scratch_offset], &accum); |
| private_scan[packetIndex + i] = accumulator.finalize(accum); |
| } |
| } |
| first_step_inclusive_Operation([&]() EIGEN_DEVICE_FUNC { |
| if (inclusive) { |
| accumulator.reduce(private_scan[ScanParameters<Index>::ScanPerThread - 1], &inclusive_scan); |
| private_scan[0] = accumulator.finalize(inclusive_scan); |
| } |
| }); |
| next_elements = 0; |
| // right the first set of private param |
| EIGEN_UNROLL_LOOP |
| for (Index i = 0; i < ScanParameters<Index>::ScanPerThread; i++) { |
| Index global_id = global_offset + next_elements; |
| if ((((block_id * scanParameters.elements_per_block) + (ScanParameters<Index>::ScanPerThread * local_id) + i) < |
| scanParameters.scan_size) && |
| (global_id < scanParameters.total_size)) { |
| Index private_id = (i * !inclusive) + (((i + 1) % ScanParameters<Index>::ScanPerThread) * (inclusive)); |
| out_ptr[global_id] = private_scan[private_id]; |
| } |
| next_elements += scanParameters.scan_stride; |
| } |
| } // end for loop |
| } |
| }; |
| |
| template <typename CoeffReturnType, typename InAccessor, typename OutAccessor, typename Op, typename Index> |
| struct ScanAdjustmentKernelFunctor { |
| typedef cl::sycl::accessor<CoeffReturnType, 1, cl::sycl::access::mode::read_write, cl::sycl::access::target::local> |
| LocalAccessor; |
| static EIGEN_CONSTEXPR int PacketSize = ScanParameters<Index>::ScanPerThread / 2; |
| InAccessor in_accessor; |
| OutAccessor out_accessor; |
| const ScanParameters<Index> scanParameters; |
| Op accumulator; |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ScanAdjustmentKernelFunctor(LocalAccessor, InAccessor in_accessor_, |
| OutAccessor out_accessor_, |
| const ScanParameters<Index> scanParameters_, |
| Op accumulator_) |
| : in_accessor(in_accessor_), |
| out_accessor(out_accessor_), |
| scanParameters(scanParameters_), |
| accumulator(accumulator_) {} |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void operator()(cl::sycl::nd_item<1> itemID) { |
| auto in_ptr = in_accessor.get_pointer(); |
| auto out_ptr = out_accessor.get_pointer(); |
| |
| for (Index loop_offset = 0; loop_offset < scanParameters.loop_range; loop_offset++) { |
| Index data_offset = (itemID.get_global_id(0) + (itemID.get_global_range(0) * loop_offset)); |
| Index tmp = data_offset % scanParameters.panel_threads; |
| const Index panel_id = data_offset / scanParameters.panel_threads; |
| const Index group_id = tmp / scanParameters.group_threads; |
| tmp = tmp % scanParameters.group_threads; |
| const Index block_id = tmp / scanParameters.block_threads; |
| const Index local_id = tmp % scanParameters.block_threads; |
| |
| // the actual panel size is scan_size * non_scan_size. |
| // elements_per_panel is roundup to power of 2 for binary tree |
| const Index panel_offset = panel_id * scanParameters.scan_size * scanParameters.non_scan_size; |
| const Index group_offset = group_id * scanParameters.non_scan_stride; |
| // This will be effective when the size is bigger than elements_per_block |
| const Index block_offset = block_id * scanParameters.elements_per_block * scanParameters.scan_stride; |
| const Index thread_offset = ScanParameters<Index>::ScanPerThread * local_id * scanParameters.scan_stride; |
| |
| const Index global_offset = panel_offset + group_offset + block_offset + thread_offset; |
| const Index block_size = scanParameters.elements_per_group / scanParameters.elements_per_block; |
| const Index in_id = (panel_id * block_size * scanParameters.non_scan_size) + (group_id * block_size) + block_id; |
| CoeffReturnType adjust_val = in_ptr[in_id]; |
| |
| Index next_elements = 0; |
| EIGEN_UNROLL_LOOP |
| for (Index i = 0; i < ScanParameters<Index>::ScanPerThread; i++) { |
| Index global_id = global_offset + next_elements; |
| if ((((block_id * scanParameters.elements_per_block) + (ScanParameters<Index>::ScanPerThread * local_id) + i) < |
| scanParameters.scan_size) && |
| (global_id < scanParameters.total_size)) { |
| CoeffReturnType accum = adjust_val; |
| accumulator.reduce(out_ptr[global_id], &accum); |
| out_ptr[global_id] = accumulator.finalize(accum); |
| } |
| next_elements += scanParameters.scan_stride; |
| } |
| } |
| } |
| }; |
| |
| template <typename Index> |
| struct ScanInfo { |
| const Index &total_size; |
| const Index &scan_size; |
| const Index &panel_size; |
| const Index &non_scan_size; |
| const Index &scan_stride; |
| const Index &non_scan_stride; |
| |
| Index max_elements_per_block; |
| Index block_size; |
| Index panel_threads; |
| Index group_threads; |
| Index block_threads; |
| Index elements_per_group; |
| Index elements_per_block; |
| Index loop_range; |
| Index global_range; |
| Index local_range; |
| const Eigen::SyclDevice &dev; |
| EIGEN_STRONG_INLINE ScanInfo(const Index &total_size_, const Index &scan_size_, const Index &panel_size_, |
| const Index &non_scan_size_, const Index &scan_stride_, const Index &non_scan_stride_, |
| const Eigen::SyclDevice &dev_) |
| : total_size(total_size_), |
| scan_size(scan_size_), |
| panel_size(panel_size_), |
| non_scan_size(non_scan_size_), |
| scan_stride(scan_stride_), |
| non_scan_stride(non_scan_stride_), |
| dev(dev_) { |
| // must be power of 2 |
| local_range = std::min(Index(dev.getNearestPowerOfTwoWorkGroupSize()), |
| Index(EIGEN_SYCL_LOCAL_THREAD_DIM0 * EIGEN_SYCL_LOCAL_THREAD_DIM1)); |
| |
| max_elements_per_block = local_range * ScanParameters<Index>::ScanPerThread; |
| |
| elements_per_group = |
| dev.getPowerOfTwo(Index(roundUp(Index(scan_size), ScanParameters<Index>::ScanPerThread)), true); |
| const Index elements_per_panel = elements_per_group * non_scan_size; |
| elements_per_block = std::min(Index(elements_per_group), Index(max_elements_per_block)); |
| panel_threads = elements_per_panel / ScanParameters<Index>::ScanPerThread; |
| group_threads = elements_per_group / ScanParameters<Index>::ScanPerThread; |
| block_threads = elements_per_block / ScanParameters<Index>::ScanPerThread; |
| block_size = elements_per_group / elements_per_block; |
| #ifdef EIGEN_SYCL_MAX_GLOBAL_RANGE |
| const Index max_threads = std::min(Index(panel_threads * panel_size), Index(EIGEN_SYCL_MAX_GLOBAL_RANGE)); |
| #else |
| const Index max_threads = panel_threads * panel_size; |
| #endif |
| global_range = roundUp(max_threads, local_range); |
| loop_range = Index( |
| std::ceil(double(elements_per_panel * panel_size) / (global_range * ScanParameters<Index>::ScanPerThread))); |
| } |
| inline ScanParameters<Index> get_scan_parameter() { |
| return ScanParameters<Index>(total_size, non_scan_size, scan_size, non_scan_stride, scan_stride, panel_threads, |
| group_threads, block_threads, elements_per_group, elements_per_block, loop_range); |
| } |
| inline cl::sycl::nd_range<1> get_thread_range() { |
| return cl::sycl::nd_range<1>(cl::sycl::range<1>(global_range), cl::sycl::range<1>(local_range)); |
| } |
| }; |
| |
| template <typename EvaluatorPointerType, typename CoeffReturnType, typename Reducer, typename Index> |
| struct SYCLAdjustBlockOffset { |
| EIGEN_STRONG_INLINE static void adjust_scan_block_offset(EvaluatorPointerType in_ptr, EvaluatorPointerType out_ptr, |
| Reducer &accumulator, const Index total_size, |
| const Index scan_size, const Index panel_size, |
| const Index non_scan_size, const Index scan_stride, |
| const Index non_scan_stride, const Eigen::SyclDevice &dev) { |
| auto scan_info = |
| ScanInfo<Index>(total_size, scan_size, panel_size, non_scan_size, scan_stride, non_scan_stride, dev); |
| |
| typedef ScanAdjustmentKernelFunctor<CoeffReturnType, EvaluatorPointerType, EvaluatorPointerType, Reducer, Index> |
| AdjustFuctor; |
| dev.template unary_kernel_launcher<CoeffReturnType, AdjustFuctor>(in_ptr, out_ptr, scan_info.get_thread_range(), |
| scan_info.max_elements_per_block, |
| scan_info.get_scan_parameter(), accumulator); |
| } |
| }; |
| |
| template <typename CoeffReturnType, scan_step stp> |
| struct ScanLauncher_impl { |
| template <typename Input, typename EvaluatorPointerType, typename Reducer, typename Index> |
| EIGEN_STRONG_INLINE static void scan_block(Input in_ptr, EvaluatorPointerType out_ptr, Reducer &accumulator, |
| const Index total_size, const Index scan_size, const Index panel_size, |
| const Index non_scan_size, const Index scan_stride, |
| const Index non_scan_stride, const bool inclusive, |
| const Eigen::SyclDevice &dev) { |
| auto scan_info = |
| ScanInfo<Index>(total_size, scan_size, panel_size, non_scan_size, scan_stride, non_scan_stride, dev); |
| const Index temp_pointer_size = scan_info.block_size * non_scan_size * panel_size; |
| const Index scratch_size = scan_info.max_elements_per_block / (ScanParameters<Index>::ScanPerThread / 2); |
| CoeffReturnType *temp_pointer = |
| static_cast<CoeffReturnType *>(dev.allocate_temp(temp_pointer_size * sizeof(CoeffReturnType))); |
| EvaluatorPointerType tmp_global_accessor = dev.get(temp_pointer); |
| |
| typedef ScanKernelFunctor<Input, CoeffReturnType, EvaluatorPointerType, Reducer, Index, stp> ScanFunctor; |
| dev.template binary_kernel_launcher<CoeffReturnType, ScanFunctor>( |
| in_ptr, out_ptr, tmp_global_accessor, scan_info.get_thread_range(), scratch_size, |
| scan_info.get_scan_parameter(), accumulator, inclusive); |
| |
| if (scan_info.block_size > 1) { |
| ScanLauncher_impl<CoeffReturnType, scan_step::second>::scan_block( |
| tmp_global_accessor, tmp_global_accessor, accumulator, temp_pointer_size, scan_info.block_size, panel_size, |
| non_scan_size, Index(1), scan_info.block_size, false, dev); |
| |
| SYCLAdjustBlockOffset<EvaluatorPointerType, CoeffReturnType, Reducer, Index>::adjust_scan_block_offset( |
| tmp_global_accessor, out_ptr, accumulator, total_size, scan_size, panel_size, non_scan_size, scan_stride, |
| non_scan_stride, dev); |
| } |
| dev.deallocate_temp(temp_pointer); |
| } |
| }; |
| |
| } // namespace internal |
| } // namespace TensorSycl |
| namespace internal { |
| template <typename Self, typename Reducer, bool vectorize> |
| struct ScanLauncher<Self, Reducer, Eigen::SyclDevice, vectorize> { |
| typedef typename Self::Index Index; |
| typedef typename Self::CoeffReturnType CoeffReturnType; |
| typedef typename Self::Storage Storage; |
| typedef typename Self::EvaluatorPointerType EvaluatorPointerType; |
| void operator()(Self &self, EvaluatorPointerType data) { |
| const Index total_size = internal::array_prod(self.dimensions()); |
| const Index scan_size = self.size(); |
| const Index scan_stride = self.stride(); |
| // this is the scan op (can be sum or ...) |
| auto accumulator = self.accumulator(); |
| auto inclusive = !self.exclusive(); |
| auto consume_dim = self.consume_dim(); |
| auto dev = self.device(); |
| |
| auto dims = self.inner().dimensions(); |
| |
| Index non_scan_size = 1; |
| Index panel_size = 1; |
| if (static_cast<int>(Self::Layout) == static_cast<int>(ColMajor)) { |
| for (int i = 0; i < consume_dim; i++) { |
| non_scan_size *= dims[i]; |
| } |
| for (int i = consume_dim + 1; i < Self::NumDims; i++) { |
| panel_size *= dims[i]; |
| } |
| } else { |
| for (int i = Self::NumDims - 1; i > consume_dim; i--) { |
| non_scan_size *= dims[i]; |
| } |
| for (int i = consume_dim - 1; i >= 0; i--) { |
| panel_size *= dims[i]; |
| } |
| } |
| const Index non_scan_stride = (scan_stride > 1) ? 1 : scan_size; |
| auto eval_impl = self.inner(); |
| TensorSycl::internal::ScanLauncher_impl<CoeffReturnType, TensorSycl::internal::scan_step::first>::scan_block( |
| eval_impl, data, accumulator, total_size, scan_size, panel_size, non_scan_size, scan_stride, non_scan_stride, |
| inclusive, dev); |
| } |
| }; |
| } // namespace internal |
| } // namespace Eigen |
| |
| #endif // UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSOR_SYCL_SYCL_HPP |
