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 raver119 on 24.11.17.
//

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

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

namespace sd {
namespace ops {
/**
 * scatter update operation
 *
 * IArgs map:
 * IArgs[0] - update operation: 0 - add; 1 - sub; 2 - mul; 3 - div; 4 - rsub; 5 - rdiv; 6 - assign
 * IArgs[1] - number of dimensions
 * IArgs[...] - dimensions
 * IArgs[...] - number of indices
 * IArgs[...] - indices
 *
 * @tparam T
 */
CONFIGURABLE_OP_IMPL(scatter_update, -2, 1, true, 0, -2) {
  //NOTE: DO NOT USE. USE scatter_upd instead.
  auto operand = INPUT_VARIABLE(0);
  auto updates = INPUT_VARIABLE(1);

  helpers::scatterUpdate(block.launchContext(), *operand, *updates, block.getIArguments());

  return sd::Status::OK;
}
DECLARE_SYN(scatterupdate, scatter_update);

DECLARE_TYPES(scatter_update) { getOpDescriptor()->setAllowedInputTypes(sd::DataType::ANY)->setSameMode(true); }
}  // namespace ops
}  // namespace sd

#endif