Add image to column kernel (#867)

* Add image to column kernel

* Add instances, tests, profiler, example

* Add client example

* Several fixes of image to column

* Fix variable name in device_image_to_column_impl

* Several fixes of image to column profiler

* Fix num_btype calculation

* Make new mesaurements for correct bytes calculation
This commit is contained in:
Bartłomiej Kocot
2023-09-05 17:11:40 +02:00
committed by GitHub
parent 0c9a1d25b3
commit 0077eeb3be
23 changed files with 2448 additions and 0 deletions

View File

@@ -0,0 +1,97 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/utility/common_header.hpp"
#include "ck/tensor_description/multi_index_transform_helper.hpp"
#include "ck/tensor_description/tensor_descriptor.hpp"
#include "ck/tensor_description/tensor_descriptor_helper.hpp"
#include "ck/tensor_operation/gpu/grid/block_to_ctile_map.hpp"
#include "ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_selector.hpp"
#include "ck/tensor_operation/gpu/block/blockwise_gemm_xdlops.hpp"
#include "ck/tensor_operation/gpu/block/thread_group_tensor_slice_transfer_v7.hpp"
#include "ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
namespace ck {
template <typename InputGridDesc,
typename InputDataType,
typename OutputGridDesc,
typename OutputDataType,
index_t BlockSize,
index_t MPerBlock,
index_t KPerBlock,
typename ThreadClusterLengths,
index_t ScalarPerVector,
typename Block2ETileMap>
struct GridwiseImageToColumn
{
static constexpr auto I0 = Number<0>{};
static constexpr auto I1 = Number<1>{};
using ThisThreadBlock = ThisThreadBlock<BlockSize>;
__device__ static void Run(const InputGridDesc& in_grid_desc,
const InputDataType* __restrict__ p_in_global,
const OutputGridDesc& out_grid_desc,
OutputDataType* __restrict__ p_out_global,
const Block2ETileMap& block_2_tile_map)
{
const auto block_work_idx =
block_2_tile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
const index_t m_block_data_idx_on_grid =
__builtin_amdgcn_readfirstlane(block_work_idx[I0] * MPerBlock);
const index_t k_block_data_idx_on_grid =
__builtin_amdgcn_readfirstlane(block_work_idx[I1] * KPerBlock);
// Global Memory
const auto in_global_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
p_in_global, in_grid_desc.GetElementSpaceSize());
auto out_global_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
p_out_global, out_grid_desc.GetElementSpaceSize());
auto copy_global_to_global = ThreadGroupTensorSliceTransfer_v7<
ThisThreadBlock,
Tuple<InputDataType>,
Tuple<OutputDataType>,
decltype(tie(in_grid_desc)),
decltype(tie(out_grid_desc)),
tensor_operation::element_wise::PassThrough,
Sequence<static_cast<index_t>(InMemoryDataOperationEnum::Set)>,
Sequence<MPerBlock, KPerBlock>,
ThreadClusterLengths,
Sequence<0, 1>,
Sequence<0, 1>,
I1,
ScalarPerVector,
Sequence<true>,
Sequence<true>>{
in_grid_desc,
make_tuple(make_multi_index(m_block_data_idx_on_grid, k_block_data_idx_on_grid)),
out_grid_desc,
make_tuple(make_multi_index(m_block_data_idx_on_grid, k_block_data_idx_on_grid)),
tensor_operation::element_wise::PassThrough{}};
copy_global_to_global.Run(
tie(in_grid_desc), tie(in_global_buf), tie(out_grid_desc), tie(out_global_buf));
}
__host__ static constexpr bool CheckValidity(const InputGridDesc& in_grid_desc,
const OutputGridDesc& out_grid_desc)
{
if(in_grid_desc.GetLength(I0) % MPerBlock != 0 ||
in_grid_desc.GetLength(I1) % KPerBlock != 0)
return false;
if(out_grid_desc.GetLength(I0) % MPerBlock != 0 ||
out_grid_desc.GetLength(I1) % KPerBlock != 0)
return false;
return true;
}
};
} // namespace ck