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[CK_TILE] Split-K autodeduction (#3351)
* First version of split-K autodeduction. * Fix circular dependency and kernel construction. * Fix tolerance calculation for bwd weight example. * Simplify kernel construction. * Fix kernel launching bug for split-K autodeduce. * Add split-K autodeduction support for the two stage example. * Fix a corner case. * Fix clang-format. * Fix clang-format for inc files. * Add missing header. * Prevent too large split-K values. * Fix formatting. * Add unit tests for IsSupportedArgument in grouped bwd conv. * clang-format. * Fix merge conflicts. * Address feedback from code review. * clang-format * Fix new tests after merge. --------- Co-authored-by: Ville Pietilä <>
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include <numeric>
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#include "ck_tile/core/utility/env.hpp"
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#include "ck_tile/core/numeric/integer.hpp"
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#include "ck_tile/host/device_prop.hpp"
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#include "ck_tile/host/kernel_launch.hpp"
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namespace ck_tile {
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template <index_t BlockSize, typename KernelArgs, typename KernelImpl>
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CK_TILE_HOST index_t get_max_occupancy_for_kernel()
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{
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constexpr int dynamic_smem_size = 0;
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constexpr int min_blocks_per_cu = 1;
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const auto kernel_ptr = kentry<min_blocks_per_cu, KernelImpl, KernelArgs>;
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int max_occupancy = 0;
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hip_check_error(hipOccupancyMaxActiveBlocksPerMultiprocessor(
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&max_occupancy, kernel_ptr, BlockSize, dynamic_smem_size));
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return static_cast<index_t>(max_occupancy);
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}
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CK_TILE_HOST index_t get_best_occupancy_k_batch_value(index_t max_occupancy, index_t grid_size)
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{
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static const index_t num_cus = get_num_cus();
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const index_t max_capacity = max_occupancy * num_cus;
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index_t k_batch = 1;
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const auto optimal_split = static_cast<index_t>(std::floor((1.0 * max_capacity) / grid_size));
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if(optimal_split > 1)
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{
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k_batch = optimal_split;
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}
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if(ck_tile::EnvIsEnabled(CK_TILE_ENV(CK_TILE_LOGGING)))
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{
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std::cout << "[SPLIT-K AUTODEDUCE] Max active thread blocks per CU for GEMM kernel: "
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<< max_occupancy << std::endl;
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std::cout << "[SPLIT-K AUTODEDUCE] Output grid size: " << grid_size << std::endl;
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std::cout << "[SPLIT-K AUTODEDUCE] Optimal split-k value " << k_batch << std::endl;
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}
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return k_batch;
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}
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template <index_t BlockSize, typename KernelArgs, typename KernelImpl>
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struct ActiveWorkgroupsPerCU
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{
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CK_TILE_HOST ActiveWorkgroupsPerCU()
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{
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max_occupancy_ = get_max_occupancy_for_kernel<BlockSize, KernelArgs, KernelImpl>();
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}
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index_t max_occupancy_{1};
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};
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template <index_t BlockSize, typename KernelImpl, typename TilePartitioner, typename KernelArgs>
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CK_TILE_HOST index_t calculate_optimal_k_batch(const KernelArgs& kargs)
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{
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static ActiveWorkgroupsPerCU<BlockSize, KernelArgs, KernelImpl> active_workgroups_per_cu;
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const auto grid_size = TilePartitioner::GridSize(kargs.GemmM, kargs.GemmN) * kargs.GemmBatch;
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auto optimal_k_batch =
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get_best_occupancy_k_batch_value(active_workgroups_per_cu.max_occupancy_, grid_size);
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const auto max_allowed_k_batch = kargs.GemmK;
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optimal_k_batch = std::min(optimal_k_batch, max_allowed_k_batch);
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if(ck_tile::EnvIsEnabled(CK_TILE_ENV(CK_TILE_LOGGING)))
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{
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std::cout << "[SPLIT-K AUTODEDUCE] Final k_batch value: " << optimal_k_batch << std::endl;
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}
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return optimal_k_batch;
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}
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} // namespace ck_tile
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