deeplearning4j/deeplearning4j

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libnd4j/include/ops/declarable/generic/kernels/knn_mindistance.cpp

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/* ******************************************************************************
 *
 *
 * 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_knn_mindistance)

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

namespace sd {
namespace ops {
CUSTOM_OP_IMPL(knn_mindistance, 3, 1, false, 0, 0) {
  auto input = INPUT_VARIABLE(0);
  auto lowest = INPUT_VARIABLE(1);
  auto highest = INPUT_VARIABLE(2);

  auto output = OUTPUT_VARIABLE(0);

  REQUIRE_TRUE(input->lengthOf() == lowest->lengthOf() && input->lengthOf() == highest->lengthOf(), 0,
               "knn_mindistance: all input arrays must have same length");
  REQUIRE_TRUE(input->dataType() == lowest->dataType() && input->dataType() == highest->dataType() &&
                   input->dataType() == output->dataType(),
               0, "knn_mindistance: all inputs must have the same data type");

  helpers::knn_mindistance(*input, *lowest, *highest, *output);

  return sd::Status::OK;
}

DECLARE_SHAPE_FN(knn_mindistance) {
  auto input = inputShape->at(0);

  // always return scalar here
  return SHAPELIST(ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(input)));
}

DECLARE_TYPES(knn_mindistance) {
  getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS})->setAllowedOutputTypes({ALL_FLOATS});
}
}  // namespace ops
}  // namespace sd

#endif