text: /*
   * Copyright (c) 2018-2021 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/CLElementwiseOperations.h"
  
  #include "arm_compute/core/CL/CLKernelLibrary.h"
  #include "arm_compute/core/CL/ICLTensor.h"
  #include "arm_compute/core/Types.h"
  #include "src/core/CL/ICLKernel.h"
  
  #include "src/gpu/cl/operators/ClAdd.h"
  #include "src/gpu/cl/operators/ClElementwiseOperations.h"
  #include "src/gpu/cl/operators/ClSub.h"
  
  namespace arm_compute
  {
  struct CLArithmeticAddition::Impl
  {
      const ICLTensor               *src_0{ nullptr };
      const ICLTensor               *src_1{ nullptr };
      ICLTensor                     *dst{ nullptr };
      std::unique_ptr<opencl::ClAdd> op{ nullptr };
  };
  
  CLArithmeticAddition::CLArithmeticAddition()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLArithmeticAddition::CLArithmeticAddition(CLArithmeticAddition &&) = default;
  CLArithmeticAddition &CLArithmeticAddition::operator=(CLArithmeticAddition &&) = default;
  CLArithmeticAddition::~CLArithmeticAddition()                                  = default;
  
  void CLArithmeticAddition::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, policy, act_info);
  }
  
  void CLArithmeticAddition::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy,
                                       const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClAdd>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), policy, act_info);
  }
  
  Status CLArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
  {
      return opencl::ClAdd::validate(input1, input2, output, policy, act_info);
  }
  
  void CLArithmeticAddition::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  
  struct CLArithmeticSubtraction::Impl
  {
      const ICLTensor               *src_0{ nullptr };
      const ICLTensor               *src_1{ nullptr };
      ICLTensor                     *dst{ nullptr };
      std::unique_ptr<opencl::ClSub> op{ nullptr };
  };
  
  CLArithmeticSubtraction::CLArithmeticSubtraction()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLArithmeticSubtraction::CLArithmeticSubtraction(CLArithmeticSubtraction &&) = default;
  CLArithmeticSubtraction &CLArithmeticSubtraction::operator=(CLArithmeticSubtraction &&) = default;
  CLArithmeticSubtraction::~CLArithmeticSubtraction()                                     = default;
  
  void CLArithmeticSubtraction::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, policy, act_info);
  }
  
  void CLArithmeticSubtraction::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy,
                                          const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClSub>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), policy, act_info);
  }
  
  Status CLArithmeticSubtraction::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
  {
      return opencl::ClSub::validate(input1, input2, output, policy, act_info);
  }
  
  void CLArithmeticSubtraction::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  
  struct CLArithmeticDivision::Impl
  {
      const ICLTensor                               *src_0{ nullptr };
      const ICLTensor                               *src_1{ nullptr };
      ICLTensor                                     *dst{ nullptr };
      std::unique_ptr<opencl::ClElementwiseDivision> op{ nullptr };
  };
  
  CLArithmeticDivision::CLArithmeticDivision()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLArithmeticDivision::CLArithmeticDivision(CLArithmeticDivision &&) = default;
  CLArithmeticDivision &CLArithmeticDivision::operator=(CLArithmeticDivision &&) = default;
  CLArithmeticDivision::~CLArithmeticDivision()                                  = default;
  
  void CLArithmeticDivision::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, act_info);
  }
  
  void CLArithmeticDivision::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClElementwiseDivision>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
  }
  
  Status CLArithmeticDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
  {
      return opencl::ClElementwiseDivision::validate(input1, input2, output, act_info);
  }
  
  void CLArithmeticDivision::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  
  struct CLElementwiseMax::Impl
  {
      const ICLTensor                          *src_0{ nullptr };
      const ICLTensor                          *src_1{ nullptr };
      ICLTensor                                *dst{ nullptr };
      std::unique_ptr<opencl::ClElementwiseMax> op{ nullptr };
  };
  
  CLElementwiseMax::CLElementwiseMax()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLElementwiseMax::CLElementwiseMax(CLElementwiseMax &&) = default;
  CLElementwiseMax &CLElementwiseMax::operator=(CLElementwiseMax &&) = default;
  CLElementwiseMax::~CLElementwiseMax()                              = default;
  
  void CLElementwiseMax::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, act_info);
  }
  
  void CLElementwiseMax::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClElementwiseMax>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
  }
  
  Status CLElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
  {
      return opencl::ClElementwiseMax::validate(input1, input2, output, act_info);
  }
  
  void CLElementwiseMax::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  
  struct CLElementwiseMin::Impl
  {
      const ICLTensor                          *src_0{ nullptr };
      const ICLTensor                          *src_1{ nullptr };
      ICLTensor                                *dst{ nullptr };
      std::unique_ptr<opencl::ClElementwiseMin> op{ nullptr };
  };
  
  CLElementwiseMin::CLElementwiseMin()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLElementwiseMin::CLElementwiseMin(CLElementwiseMin &&) = default;
  CLElementwiseMin &CLElementwiseMin::operator=(CLElementwiseMin &&) = default;
  CLElementwiseMin::~CLElementwiseMin()                              = default;
  
  void CLElementwiseMin::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, act_info);
  }
  
  void CLElementwiseMin::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClElementwiseMin>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
  }
  
  Status CLElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
  {
      return opencl::ClElementwiseMin::validate(input1, input2, output, act_info);
  }
  
  void CLElementwiseMin::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  
  struct CLElementwiseSquaredDiff::Impl
  {
      const ICLTensor                                  *src_0{ nullptr };
      const ICLTensor                                  *src_1{ nullptr };
      ICLTensor                                        *dst{ nullptr };
      std::unique_ptr<opencl::ClElementwiseSquaredDiff> op{ nullptr };
  };
  
  CLElementwiseSquaredDiff::CLElementwiseSquaredDiff()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLElementwiseSquaredDiff::CLElementwiseSquaredDiff(CLElementwiseSquaredDiff &&) = default;
  CLElementwiseSquaredDiff &CLElementwiseSquaredDiff::operator=(CLElementwiseSquaredDiff &&) = default;
  CLElementwiseSquaredDiff::~CLElementwiseSquaredDiff()                                      = default;
  
  void CLElementwiseSquaredDiff::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, act_info);
  }
  
  void CLElementwiseSquaredDiff::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClElementwiseSquaredDiff>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
  }
  
  Status CLElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
  {
      return opencl::ClElementwiseSquaredDiff::validate(input1, input2, output, act_info);
  }
  
  void CLElementwiseSquaredDiff::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  
  struct CLElementwisePower::Impl
  {
      const ICLTensor                            *src_0{ nullptr };
      const ICLTensor                            *src_1{ nullptr };
      ICLTensor                                  *dst{ nullptr };
      std::unique_ptr<opencl::ClElementwisePower> op{ nullptr };
  };
  
  CLElementwisePower::CLElementwisePower()
      : _impl(std::make_unique<Impl>())
  {
  }
  CLElementwisePower::CLElementwisePower(CLElementwisePower &&) = default;
  CLElementwisePower &CLElementwisePower::operator=(CLElementwisePower &&) = default;
  CLElementwisePower::~CLElementwisePower()                                = default;
  
  void CLElementwisePower::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, act_info);
  }
  
  void CLElementwisePower::configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info)
  {
      _impl->src_0 = input1;
      _impl->src_1 = input2;
      _impl->dst   = output;
      _impl->op    = std::make_unique<opencl::ClElementwisePower>();
      _impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), act_info);
  }
  
  Status CLElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
  {
      return opencl::ClElementwisePower::validate(input1, input2, output, act_info);
  }
  
  void CLElementwisePower::run()
  {
      ITensorPack pack;
      pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
      pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
      pack.add_tensor(TensorType::ACL_DST, _impl->dst);
  
      _impl->op->run(pack);
  }
  } // namespace arm_compute
  