blob: 306957a8d1fd5b29bda83c03e9350f50f991cba2 [file] [log] [blame]
/*
* Copyright (c) 2020-2021 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/CLLogicalAnd.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "src/gpu/cl/kernels/ClElementwiseKernel.h"
#include <utility>
namespace arm_compute
{
namespace experimental
{
void CLLogicalAnd::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
{
auto k = std::make_unique<arm_compute::opencl::kernels::ClLogicalBinaryKernel>();
k->configure(compile_context, LogicalOperation::And, input1, input2, output);
_kernel = std::move(k);
}
Status CLLogicalAnd::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
return arm_compute::opencl::kernels::ClLogicalBinaryKernel::validate(LogicalOperation::And, input1, input2, output);
}
void CLLogicalAnd::run(ITensorPack &tensors)
{
ICLOperator::run(tensors);
}
} // namespace experimental
struct CLLogicalAnd::Impl
{
const ICLTensor *src0{ nullptr };
const ICLTensor *src1{ nullptr };
ICLTensor *dst{ nullptr };
std::unique_ptr<experimental::CLLogicalAnd> op{ nullptr };
};
CLLogicalAnd::CLLogicalAnd()
: _impl(std::make_unique<Impl>())
{
}
CLLogicalAnd::CLLogicalAnd(CLLogicalAnd &&) = default;
CLLogicalAnd &CLLogicalAnd::operator=(CLLogicalAnd &&) = default;
CLLogicalAnd::~CLLogicalAnd() = default;
void CLLogicalAnd::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output)
{
configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output);
}
void CLLogicalAnd::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output)
{
_impl->src0 = input1;
_impl->src1 = input2;
_impl->dst = output;
_impl->op = std::make_unique<experimental::CLLogicalAnd>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info());
}
Status CLLogicalAnd::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
return experimental::CLLogicalAnd::validate(input1, input2, output);
}
void CLLogicalAnd::run()
{
ITensorPack pack;
pack.add_tensor(TensorType::ACL_SRC_0, _impl->src0);
pack.add_tensor(TensorType::ACL_SRC_1, _impl->src1);
pack.add_tensor(TensorType::ACL_DST, _impl->dst);
_impl->op->run(pack);
}
} // namespace arm_compute