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/*
* Copyright (c) 2023-2024 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "GpuCkwStore.h"
#include "arm_compute/core/Error.h"
#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/CkwHelper.h"
#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwScopedKernelWriter.h"
#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwVariableTable.h"
#include <cstdint>
#include <string>
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
GpuCkwStore::GpuCkwStore(ComponentId id, const ArgumentPack<ITensorInfo> &tensors)
: IGpuCkwComponentDriver{id, tensors}, _src{}, _dst{}
{
_src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
_dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
}
void GpuCkwStore::write_component_code(const ComponentGroup &comp_group,
GpuCkwVariableTable &vtable,
GpuCkwScopedKernelWriter writer) const
{
/********************************************************************************
* 1 - Define tensors
********************************************************************************/
GpuCkwComponentArgument *src = vtable.declare_variable(comp_group, writer, _src, "src");
GpuCkwComponentArgument *dst = vtable.declare_variable(comp_group, writer, _dst, "dst");
/********************************************************************************
* 2 - Define CKW constants
********************************************************************************/
const auto dst_h = static_cast<int32_t>(_dst->dimension(2));
auto const_0_i32 = writer->declare_constant_tile(ckw::ConstantData({{0}}, ckw::DataType::Int32));
auto const_pos_1_i32 = writer->declare_constant_tile(ckw::ConstantData({{1}}, ckw::DataType::Int32));
auto const_dst_h_i32 = writer->declare_constant_tile(ckw::ConstantData({{dst_h}}, ckw::DataType::Int32));
/********************************************************************************
* 3 - Define the compute block parameters and destination tile (if not root component)
* Bind the tile to the tensor to share it among different components and
* initialize the compute block parameters
********************************************************************************/
const auto &tile_src = src->tile();
auto &sampler_src = src->tensor_sampler();
const auto dst_n0 = static_cast<int32_t>(tile_src.tile_info().width());
const auto dst_m0 = static_cast<int32_t>(tile_src.tile_info().height());
const int32_t dst_n0_partial = _dst->dimension(0) % dst_n0;
const int32_t dst_shift_back = (dst_n0 - dst_n0_partial) % dst_n0;
/********************************************************************************
* 4 - Define the compute block parameters CKW constants
********************************************************************************/
auto const_n0_i32 = writer->declare_constant_tile(ckw::ConstantData({{dst_n0}}, ckw::DataType::Int32));
auto const_m0_i32 = writer->declare_constant_tile(ckw::ConstantData({{dst_m0}}, ckw::DataType::Int32));
auto const_shift_back_n0_i32 =
writer->declare_constant_tile(ckw::ConstantData({{dst_shift_back}}, ckw::DataType::Int32));
/********************************************************************************
* 5 - Define the samplers for the input tensor
********************************************************************************/
// Not required
/********************************************************************************
* 6 - Extra operations required before writing the main code
********************************************************************************/
// Not required
/********************************************************************************
* 7 - Get the coordinates of the destination tile
********************************************************************************/
auto tile_gid_0 = writer->declare_tile("gid_0", ckw::TileInfo(ckw::DataType::Int32));
auto tile_gid_1 = writer->declare_tile("gid_1", ckw::TileInfo(ckw::DataType::Int32));
auto tile_gid_2 = writer->declare_tile("gid_2", ckw::TileInfo(ckw::DataType::Int32));
writer->op_get_global_id(tile_gid_0, 0);
writer->op_get_global_id(tile_gid_1, 1);
writer->op_get_global_id(tile_gid_2, 2);
auto tile_nout0 = writer->declare_tile("cout0", ckw::TileInfo(ckw::DataType::Int32)); // OFM
auto tile_mout0 = writer->declare_tile("mout0", ckw::TileInfo(ckw::DataType::Int32)); // WIDTH or WIDTH x HEIGHT
auto tile_mout1 = writer->declare_tile("mout1", ckw::TileInfo(ckw::DataType::Int32)); // HEIGHT or 0
auto tile_bout0 = writer->declare_tile("bout0", ckw::TileInfo(ckw::DataType::Int32)); // BATCH SIZE IDX
// Calculate coordinates
get_coordinate_from_gws_overlapping_min(writer, tile_nout0, tile_gid_0, const_n0_i32, const_shift_back_n0_i32,
const_0_i32);
get_coordinate_from_gws(writer, tile_mout0, tile_gid_1, const_m0_i32);
// Get the boundary aware coordinates at each global dimension index
if (sampler_src.format() == ckw::TensorSamplerFormat::Dim0_Dim1xDim2_1)
{
writer->op_assign(tile_mout1, const_0_i32);
get_coordinate_from_gws(writer, tile_bout0, tile_gid_2, const_pos_1_i32);
}
else if (sampler_src.format() == ckw::TensorSamplerFormat::Dim0_Dim1_Dim2)
{
// For tile_mout1 and tile_bout0 the step can only be 1
writer->op_binary(tile_mout1, ckw::BinaryOp::Mod, tile_gid_2, const_dst_h_i32);
writer->op_binary(tile_bout0, ckw::BinaryOp::Div, tile_gid_2, const_dst_h_i32);
}
/********************************************************************************
* 8 - Write the rest of the code
********************************************************************************/
writer->op_store(dst->tensor(), tile_src, sampler_src, tile_nout0, tile_mout0, tile_mout1, tile_bout0);
}
std::string GpuCkwStore::get_name(const ComponentGroup &comp_group) const
{
ARM_COMPUTE_UNUSED(comp_group);
return "store";
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
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