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/*
* Copyright (c) 2018-2020 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 "arm_compute/runtime/CL/functions/CLComparison.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/kernels/CLComparisonKernel.h"
#include "arm_compute/core/Types.h"
#include "support/MemorySupport.h"
namespace arm_compute
{
void CLComparison::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ComparisonOperation operation)
{
configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, operation);
}
void CLComparison::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ComparisonOperation operation)
{
auto k = arm_compute::support::cpp14::make_unique<CLComparisonKernel>();
k->configure(compile_context, input1, input2, output, operation);
_kernel = std::move(k);
if(output->info()->dimension(0) > 1)
{
ICLTensor *broadcasted_info = (input1->info()->dimension(0) == 1) ? input1 : input2;
if(broadcasted_info->info()->dimension(0) == 1)
{
_border_handler.configure(compile_context, broadcasted_info, _kernel->border_size(), BorderMode::REPLICATE);
}
}
}
Status CLComparison::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation operation)
{
return CLComparisonKernel::validate(input1, input2, output, operation);
}
template <ComparisonOperation COP>
void CLComparisonStatic<COP>::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)
{
configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output);
}
template <ComparisonOperation COP>
void CLComparisonStatic<COP>::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output)
{
auto k = arm_compute::support::cpp14::make_unique<CLComparisonKernel>();
k->configure(compile_context, input1, input2, output, COP);
_kernel = std::move(k);
if(output->info()->dimension(0) > 1)
{
ICLTensor *broadcasted_info = (input1->info()->dimension(0) == 1) ? input1 : input2;
if(broadcasted_info->info()->dimension(0) == 1)
{
_border_handler.configure(compile_context, broadcasted_info, _kernel->border_size(), BorderMode::REPLICATE);
}
}
}
template <ComparisonOperation COP>
Status CLComparisonStatic<COP>::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
return CLComparisonKernel::validate(input1, input2, output, COP);
}
// Supported Specializations
template class CLComparisonStatic<ComparisonOperation::Equal>;
template class CLComparisonStatic<ComparisonOperation::NotEqual>;
template class CLComparisonStatic<ComparisonOperation::Greater>;
template class CLComparisonStatic<ComparisonOperation::GreaterEqual>;
template class CLComparisonStatic<ComparisonOperation::Less>;
template class CLComparisonStatic<ComparisonOperation::LessEqual>;
} // namespace arm_compute
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