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/*
* Copyright (c) 2022 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 "GpuLogicalKernel.h"
#include "arm_compute/core/experimental/Types.h"
#include "src/dynamic_fusion/sketch/ArgumentPack.h"
#include "src/dynamic_fusion/sketch/gpu/GpuComponentServices.h"
#include "src/dynamic_fusion/sketch/gpu/components/IGpuKernelComponent.h"
#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentStore.h"
#include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateWriter.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
GpuLogicalKernel::GpuLogicalKernel(GpuComponentServices *services, const GpuKernelComponentGroup &components)
: _services{ services }, _comp_group{ components }, _store_components{}
{
add_load_store();
}
GpuKernelSourceCode GpuLogicalKernel::write_kernel_code()
{
GpuKernelSourceCode code;
ClTemplateWriter writer{ _comp_group };
code.name(writer.get_name());
code.code(writer.get_code());
code.arguments(writer.get_tensors());
code.build_options(writer.get_build_options());
code.config_id(writer.get_config_id());
code.window(writer.get_window());
return code;
}
void GpuLogicalKernel::add_load_store()
{
const auto dst_tensors = _comp_group.get_dst_tensors();
// Each dst tensor from the component group requires exactly one store component
for(const auto &dst_tensor : dst_tensors)
{
ArgumentPack<ITensorInfo> tensors;
// Pass same destination tensor to both source and destination of the store component
// In other words, the addition of a store component does not create a new dst tensor
// This way we avoid the issue of the dst tensor of the component group differs from that of a logical kernel
// This may seem to violate the acyclic-ness of the component graph. But it is fine because at the point of
// the construction of the logical kernel, we do not need a graph representation of components anymore
// (the graph has been serialized)
tensors.add_const_tensor(ACL_SRC_0, dst_tensor);
tensors.add_const_tensor(ACL_DST_0, dst_tensor);
auto store = _services->component_factory().create<ClComponentStore>(
_comp_group.get_root_component()->properties(), // Store component share the same properties as that of the root component
tensors);
_store_components.push_back(std::move(store));
auto success = _comp_group.add_component(_store_components.back().get());
ARM_COMPUTE_UNUSED(success);
ARM_COMPUTE_ERROR_ON(!success); // It's guaranteed that any load store insertion should be successful
}
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
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