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
 ******************************************************************************/

//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 01.11.2017
//

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

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

namespace sd {
namespace ops {

CUSTOM_OP_IMPL(parallel_stack, -1, 1, false, 0, 0) {
  auto input = INPUT_VARIABLE(0);
  auto output = OUTPUT_VARIABLE(0);

  // check whether shapes of all input array are the same
  for (int i = 0; i < (int)block.width() - 1; ++i)
    REQUIRE_TRUE(shape::equalsSoft((INPUT_VARIABLE(i))->shapeInfo(), (INPUT_VARIABLE(i + 1))->shapeInfo()), 0,
                 "PARALLEL_STACK op: the shapes of all input arrays must be the same !");

  std::vector<const NDArray*> inArrs(block.width());
  for (int i = 0; i < block.width(); ++i) inArrs[i] = INPUT_VARIABLE(i);

  const int dim = 0;
  helpers::stack(block.launchContext(), inArrs, *output, dim);

  return sd::Status::OK;
}

DECLARE_TYPES(parallel_stack) {
  getOpDescriptor()->setAllowedInputTypes(sd::DataType::ANY)->setAllowedOutputTypes({ALL_FLOATS});
}

DECLARE_SHAPE_FN(parallel_stack) {
  auto inShapeInfo = inputShape->at(0);
  int rank = inShapeInfo[0];

  sd::LongType* outShapeInfo = nullptr;
  ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank + 1), sd::LongType);

  outShapeInfo[0] = rank + 1;
  outShapeInfo[1] = block.width();
  for (int i = 1; i <= rank; ++i) outShapeInfo[i + 1] = inShapeInfo[i];

  ShapeUtils::updateStridesAndType(outShapeInfo, inShapeInfo, shape::order(inShapeInfo));

  return SHAPELIST(CONSTANT(outShapeInfo));
}

}  // namespace ops
}  // namespace sd

#endif