cavis/libnd4j/include/ops/declarable/generic/transforms/scatter_nd_sub.cpp

/* ******************************************************************************
 *
 *
 * 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 Yurii Shyrma (iuriish@yahoo.com), created on 24.08.2018
//

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

#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/generic/helpers/ScatterHelper.h>

namespace sd {
namespace ops  {

OP_IMPL(scatter_nd_sub, 3, 1, true) {
    auto input   = INPUT_VARIABLE(0);
    auto indices = INPUT_VARIABLE(1);
    auto updates = INPUT_VARIABLE(2);

    auto output = OUTPUT_VARIABLE(0);

    const bool lock = block.getBArguments()->empty() ? false : B_ARG(0);
    const bool checkIndices = block.getBArguments()->size() <= 1 ? false : B_ARG(1);

    const int inRank  = input->rankOf();
    const int indRank = indices->rankOf();
    const int updRank = updates->rankOf();

    const Nd4jLong indLastDim = indices->sizeAt(-1);

    REQUIRE_TRUE(indLastDim <= inRank, 0, "SCATTER_ND_SUB OP: the last dimension of indices array must be <= input_array_rank, but got %i instead !", indLastDim);
    REQUIRE_TRUE(updRank == (indRank - 1 + inRank - indLastDim), 0, "SCATTER_ND_SUB OP: the equality updates_rank = (indices_rank - 1 + input_rank - last_indices_dimension) must be true for input arrays, but got instead: updates_rank = %i, indices_rank = %i, last_indices_dimension = %i !", updRank, indRank, indLastDim);

    std::vector<Nd4jLong> inShape  = input->getShapeAsVector();
    std::vector<Nd4jLong> updShape = updates->getShapeAsVector();
    std::vector<Nd4jLong> indShape = indices->getShapeAsVector();
    std::vector<Nd4jLong> expectedUpdShape(std::begin(indShape), std::end(indShape) - 1);
    if(inRank > indLastDim)
        std::move(std::begin(inShape) + indLastDim, std::end(inShape), std::back_inserter(expectedUpdShape));
    REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_ND_SUB OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str());

    if(checkIndices) {
        const Nd4jLong numOfBadIndx = helpers::checkIndices(block.launchContext(), *indices, *output);
        REQUIRE_TRUE(numOfBadIndx == 0, 0, "SCATTER_ND_SUB OP: please check elements of indices-array, total number of wrong elements is %lld!", numOfBadIndx);
    }

    if (!block.isInplace())
        output->assign(input);

        helpers::scatterND(block.launchContext(), pairwise::Subtract, *indices, *updates, *output, lock);

    return Status::OK();
}

    DECLARE_TYPES(scatter_nd_sub) {
        getOpDescriptor()
            ->setAllowedInputTypes(0, {ALL_INTS, ALL_FLOATS})
            ->setAllowedInputTypes(1, {ALL_INTS})
            ->setAllowedInputTypes(2, {ALL_INTS, ALL_FLOATS})
            ->setAllowedOutputTypes({ALL_INTS, ALL_FLOATS});
    }

}
}

#endif