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 GS <sgazeos@gmail.com> at 2/20/18
//

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

#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/convolutions.h>
#include <ops/declarable/helpers/max_pooling.h>

namespace sd {
namespace ops {
CUSTOM_OP_IMPL(max_pool_with_argmax, 1, 2, false, 0, 9) {
  auto x = INPUT_VARIABLE(0);
  auto z = OUTPUT_NULLIFIED(0);
  auto indices = OUTPUT_NULLIFIED(1);

  REQUIRE_TRUE(x->rankOf() == 4, 0, "max_pool_with_argmax: Input should have rank of 4, but got %i instead",
               x->rankOf());

  auto argI = *(block.getIArguments());

  helpers::maxPoolingFunctor(block.launchContext(), block, x, z, argI, indices);

  return sd::Status::OK;
}

DECLARE_TYPES(max_pool_with_argmax) {
  getOpDescriptor()
      ->setAllowedInputTypes(sd::DataType::ANY)
      ->setAllowedOutputTypes(0, {ALL_FLOATS, ALL_INTS})
      ->setAllowedOutputTypes(1, {ALL_INDICES});
}

DECLARE_SHAPE_FN(max_pool_with_argmax) {
  auto in = inputShape->at(0);
  auto dtype = block.numD() ? D_ARG(0) : sd::DataType::INT64;
  auto desc = new ShapeDescriptor(in);
  auto desc2 = new ShapeDescriptor(in, dtype);
  auto valuesShape = ConstantShapeHelper::getInstance().createShapeInfo(desc);
  auto indicesShape = ConstantShapeHelper::getInstance().createShapeInfo(desc2);
  delete desc;
  delete desc2;
  return SHAPELIST(valuesShape, indicesShape);
}
}  // namespace ops
}  // namespace sd

#endif