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

/*******************************************************************************
 * 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
 ******************************************************************************/

//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 02.11.2017
//

#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_reverse)

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


namespace nd4j {
namespace ops  {

    CONFIGURABLE_OP_IMPL(reverse, 1, 1, true, 0, -2) {

        auto input = INPUT_VARIABLE(0);
        auto output = OUTPUT_VARIABLE(0);

        if(output->isEmpty()){
            //No-op
            return Status::OK();
        }

        std::vector<int> axis;

        if (block.width() > 1)
            axis = INPUT_VARIABLE(1)->template asVectorT<int>();
        else if (block.numI() > 0)
            axis = *block.getIArguments();

        if(axis.empty()) {      // do not perform reversion
            output->assign(input);
        }
        else {
            // check the consistency of input dimensions to reverse along
            shape::checkDimensions(input->rankOf(), axis);
            helpers::reverse(block.launchContext(), input, output, &axis, false);
        }

        return Status::OK();
    }

    DECLARE_SYN(reverse_v2, reverse);

    DECLARE_TYPES(reverse) {
        getOpDescriptor()->setAllowedInputTypes(0, DataType::ANY);
        getOpDescriptor()->setAllowedInputTypes(1, {DataType::INT32, DataType::INT64});
        getOpDescriptor()->setAllowedOutputTypes(0, DataType::INHERIT);
    }

    CUSTOM_OP_IMPL(reverse_bp, 2, 1, false, 0, -2) {
        auto input = INPUT_VARIABLE(0);
        auto eps = block.width() == 3 ? INPUT_VARIABLE(2) : INPUT_VARIABLE(1);

        auto output = OUTPUT_VARIABLE(0);
        std::vector<int> axis;

        if (block.width() == 3)
            axis = INPUT_VARIABLE(1)->template asVectorT<int>();
        else if (block.numI() > 0)
            axis = *block.getIArguments();

        if(axis.empty()) {      // reversion is not performed in this case
            output->assign(eps);
        }
        else {
            // check the consistency of input dimensions to reverse along
            shape::checkDimensions(input->rankOf(), axis);
            // we just reverse back original array
            helpers::reverse(block.launchContext(), eps, output, &axis, true);
        }

        return Status::OK();
    }

    DECLARE_TYPES(reverse_bp) {
        getOpDescriptor()
                ->setAllowedInputTypes(nd4j::DataType::ANY)
                ->setAllowedOutputTypes({ALL_FLOATS});
    }

    DECLARE_SHAPE_FN(reverse_bp) {
        auto in = inputShape->at(0);
        Nd4jLong *out;
        COPY_SHAPE(in, out);

        return SHAPELIST(out);
    }

}
}

#endif