text: /*******************************************************************************
   * Copyright (c) 2015-2018 Skymind, Inc.
   *
   * 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.
   *
   * 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> at 11/12/2018
  //
  
  #include <op_boilerplate.h>
  #if NOT_EXCLUDED(OP_cholesky)
  
  #include <ops/declarable/CustomOperations.h>
  #include <ops/declarable/helpers/lup.h>
  namespace nd4j {
      namespace ops {
          OP_IMPL(cholesky, 1, 1, true) {
              NDArray* input = INPUT_VARIABLE(0);
              NDArray* output = OUTPUT_VARIABLE(0);
  
              REQUIRE_TRUE(input->rankOf() >=2, 0, "cholesky: The rank of input array should not less than 2, but %i is given", input->rankOf());
              REQUIRE_TRUE(input->sizeAt(-1) == input->sizeAt(-2), 0, "cholesky: The last two dimmensions should be equal, but %i and %i are given", input->sizeAt(-1), input->sizeAt(-2));
              REQUIRE_TRUE(helpers::checkCholeskyInput(block.launchContext(), input), 0, "cholesky: The input tensor should be positive-defined and symmetric.");
              return helpers::cholesky(block.launchContext(), input, output);
          }
          DECLARE_TYPES(cholesky) {
              getOpDescriptor()
                      ->setAllowedInputTypes(nd4j::DataType::ANY)
                      ->setAllowedOutputTypes({ALL_FLOATS});
          }
  
      }
  }
  
  #endif