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 GS <sgazeos@gmail.com>, created on 8/22/2018
//

#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_matrix_band_part)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/matrix_band.h>

namespace sd {
namespace ops {
CONFIGURABLE_OP_IMPL(matrix_band_part, 1, 1, true, 0, 0) {
  auto input = INPUT_VARIABLE(0);

  auto output = OUTPUT_VARIABLE(0);

  sd::LongType minLower(0LL);
  sd::LongType maxUpper(0LL);
  if (block.width() == 1) {
    REQUIRE_TRUE(block.numI() == 2, 0, "matrix_band_part: min and max band numbers should be given before.");
    minLower = INT_ARG(0);
    maxUpper = INT_ARG(1);
  } else {
    REQUIRE_TRUE(block.width() == 3, 0,
                 "matrix_band_part: min and max band numbers should be given as scalars before.");
    auto minLowerT = INPUT_VARIABLE(1);
    auto maxUpperT = INPUT_VARIABLE(2);
    REQUIRE_TRUE(minLowerT->isScalar() && maxUpperT->isScalar(), 0,
                 "matrix_band_part: min and max should be scalars, but %i and %i ranks given", minLowerT->rankOf(),
                 maxUpperT->rankOf());
    minLower = minLowerT->e<sd::LongType>(0);
    maxUpper = maxUpperT->e<sd::LongType>(0);
  }
  REQUIRE_TRUE(input->rankOf() >= 2, 0, "matrix_band_part: Input rank should be 2 or greater.");
  sd::LongType N = input->sizeAt(-2);
  sd::LongType M = input->sizeAt(-1);
  REQUIRE_TRUE(minLower > -N && minLower < N, 0, "matrix_band_part: lower diagonal count %i should be less than %i.",
               minLower, N);
  REQUIRE_TRUE(maxUpper > -M && maxUpper < M, 0, "matrix_band_part: upper diagonal count %i should be less than %i.",
               maxUpper, M);

  helpers::matrixBandPart(block.launchContext(), input, output, minLower, maxUpper);
  return sd::Status::OK;
}
DECLARE_SYN(band_part, matrix_band_part);
}  // namespace ops

DECLARE_TYPES(matrix_band_part) {
  getOpDescriptor()
      ->setAllowedInputTypes(0, {ALL_INTS, ALL_FLOATS})
      ->setAllowedInputTypes(1, {ALL_INTS})
      ->setAllowedInputTypes(2, {ALL_INTS})
      ->setAllowedInputTypes({ALL_INTS, ALL_FLOATS});
}
}  // namespace sd

#endif