blob: 775b0a0c8ced6f329c0ddfa154977bad6e45bd9a [file] [log] [blame]
/*
* Copyright (c) 2022-2023 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 "GpuKernelVariableTable.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/ITensorInfo.h"
#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
void GpuKernelVariableTable::declare_variable(const GpuKernelComponentGroup &comp_group,
const ITensorInfo *tensor,
GpuKernelArgumentInfo argument_info,
const std::string &alias)
{
ARM_COMPUTE_ERROR_ON_MSG(!tensor->has_valid_id(), "Tensor info with valid id expected");
// Do not re-declare if the variable associated with the tensor has already been declared
auto it = _vars.find(tensor->id());
if (it != _vars.end())
{
ARM_COMPUTE_ERROR_ON(!(it->second.kernel_argument_info == argument_info));
return;
}
const auto target = comp_group.get_tile_for_tensor(tensor);
if (target != tensor)
{
// If the tensor uses a shared tile, don't declare another variable.
it = _vars.find(target->id());
ARM_COMPUTE_ERROR_ON_MSG(it == _vars.end(), "The variable used for this tensor must have been declared.");
_vars[tensor->id()] = it->second;
}
else
{
// Declare variable associated with the tensor
std::stringstream ss;
ss << alias << "_t" << abs(tensor->id());
const auto uniq_name = ss.str();
TensorVariable var{tensor->id(), uniq_name, argument_info};
_vars.emplace(tensor->id(), var);
}
}
GpuKernelVariableTable::TensorVariable GpuKernelVariableTable::get_variable(const ITensorInfo *tensor) const
{
const auto var = _vars.at(tensor->id());
return var;
}
GpuKernelVariableTable::VariableList
GpuKernelVariableTable::get_variable_list(const std::vector<const ITensorInfo *> &tensors) const
{
VariableList vars{};
for (const auto &tensor : tensors)
{
if (!tensor->has_valid_id())
{
continue;
}
vars.push_back(get_variable(tensor));
}
return vars;
}
TagVal::TagVal(const GpuKernelVariableTable::TensorVariable &var) : value{var.uniq_name}
{
}
TagVal::TagVal(const std::string &val) : value{val}
{
}
TagVal::TagVal(const char *val) : value{std::string(val)}
{
}
TagVal::TagVal(const DataType &data_type) : value{get_cl_type_from_data_type(data_type)}
{
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute