deeplearning4j/deeplearning4j

/* ******************************************************************************
 *
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
 *  See the NOTICE file distributed with this work for additional
 *  information regarding copyright ownership.
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

//
// Created by raver119 on 24.11.17.
//

#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_mergeavg)

#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/transforms.h>

namespace sd {
namespace ops {

OP_IMPL(mergeavg, -1, 1, false) {
  REQUIRE_OK(this->validateInputDimensionsMatch(block));

  auto output = OUTPUT_VARIABLE(0);

  std::vector<const NDArray*> inArrs(block.width());

  for (int i = 0; i < block.width(); ++i) inArrs[i] = INPUT_VARIABLE(i);

  helpers::mergeAvg(block.launchContext(), inArrs, *output);

  return sd::Status::OK;
}

DECLARE_TYPES(mergeavg) { getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS})->setAllowedOutputTypes({ALL_FLOATS}); }

CUSTOM_OP_IMPL(mergeavg_bp, 2, 1, false, 0, 0) {
  auto inSize = block.width() - 1;

  REQUIRE_OK(this->validateInputDimensionsMatch(block));

  std::vector<NDArray*> outArrs(inSize);

  const auto gradient = INPUT_VARIABLE(inSize);

  for (int i = 0; i < inSize; ++i) {
    outArrs[i] = OUTPUT_VARIABLE(i);
  }
  helpers::mergeAvgBp(block.launchContext(), *gradient, outArrs);
  return sd::Status::OK;
}

DECLARE_TYPES(mergeavg_bp) {
  getOpDescriptor()->setAllowedInputTypes(sd::DataType::ANY)->setAllowedOutputTypes(sd::DataType::ANY);
}
DECLARE_SHAPE_FN(mergeavg_bp) {
  const int numOfInArrs = block.width() - 1;

  auto shapeList = SHAPELIST();

  for (int e = 0; e < numOfInArrs; e++) {
    auto inShape = inputShape->at(e);
    auto desc = new ShapeDescriptor(
        ArrayOptions::dataType(inShape), shape::order(inShape), shape::shapeOf(inShape), shape::rank(inShape));
    shapeList->push_back(ConstantShapeHelper::getInstance().createShapeInfo(desc));
    delete desc;
  }

  return shapeList;
}

}  // namespace ops
}  // namespace sd

#endif