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 raver119@gmail.com
//

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

#include <ops/declarable/CustomOperations.h>

namespace sd {
namespace ops {
CUSTOM_OP_IMPL(shapes_of, -1, -1, false, 0, 0) {
  for (int e = 0; e < block.width(); e++) {
    auto x = INPUT_VARIABLE(e);
    auto z = OUTPUT_VARIABLE(e);

    for (int i = 0; i < x->rankOf(); i++) z->p(i, x->sizeAt(i));
  }

  return sd::Status::OK;
};
DECLARE_SYN(shape_n, shapes_of);

DECLARE_SHAPE_FN(shapes_of) {
  auto shapeList = SHAPELIST();

  for (int e = 0; e < inputShape->size(); e++) {
    auto inShape = inputShape->at(e);
    shapeList->push_back(ConstantShapeHelper::getInstance().vectorShapeInfo(shape::rank(inShape), sd::DataType::INT64));
  }

  return shapeList;
};

DECLARE_TYPES(shapes_of) {
  getOpDescriptor()->setAllowedInputTypes(sd::DataType::ANY)->setAllowedOutputTypes({ALL_INTS});
}
}  // namespace ops
}  // namespace sd

#endif