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>
//

#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/random_crop.h>
#if NOT_EXCLUDED(OP_random_crop)
namespace sd {
namespace ops {

//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(random_crop, 2, 1, false, 0, 0) {
  auto input = INPUT_VARIABLE(0);  // values for crop
  auto shape = INPUT_VARIABLE(1);  // shape for result

  NDArray* reduceShape = nullptr;    // this param is optional
  auto output = OUTPUT_VARIABLE(0);  //

  int seed = 0;

  if (block.getIArguments()->size() > 0) seed = INT_ARG(0);

  REQUIRE_TRUE(shape->isVector(), 0, "random_crop: Shape tensor should be a vector.");

  REQUIRE_TRUE(input->rankOf() == shape->lengthOf(), 0,
               "random_crop: The length of the shape vector is not match input rank. %i and %i were given.",
               input->rankOf(), shape->lengthOf());

  for (int e = 0; e < shape->lengthOf(); ++e) {
    REQUIRE_TRUE((*shape).e<sd::LongType>(e) <= input->sizeAt(e), 0,
                 "random_crop: Shape tensor should be less than proper input dimension (dim %i, %i > %i).", e,
                 (*shape).e<sd::LongType>(e), input->sizeAt(e));
  }

  return helpers::randomCropFunctor(block, input, shape, output, seed);
}

DECLARE_SHAPE_FN(random_crop) {
  auto in = INPUT_VARIABLE(1);
  auto typeShape = inputShape->at(0);
  std::vector<sd::LongType> shape(in->lengthOf());

  for (int e = 0; e < shape.size(); e++) shape[e] = (*in).e<sd::LongType>(e);

  auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(typeShape), 'c', shape);
  return SHAPELIST(newShape);
}

DECLARE_TYPES(random_crop) {
  getOpDescriptor()->setAllowedInputTypes(sd::DataType::ANY)->setAllowedOutputTypes({ALL_FLOATS});
}
}  // namespace ops
}  // namespace sd
#endif