cavis/libnd4j/include/ops/declarable/generic/shape/tile_to_shape.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 raver119@gmail.com
//

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

#include <ops/declarable/headers/shape.h>

namespace sd {
namespace ops {
    CUSTOM_OP_IMPL(tile_to_shape, 1, 1, false, 0, -1) {

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

        std::vector<Nd4jLong> outShape(block.getIArguments()->begin(), block.getIArguments()->end());

        if (block.isInplace()) {
            input->tileToShape(outShape, *input);
        } else {
            input->tileToShape(outShape, *output);
        }

        return Status::OK();
    }

    DECLARE_SHAPE_FN(tile_to_shape) {
        auto in = inputShape->at(0);

        // output shape always equals to arguments

        auto conv = ArrayUtils::toLongVector(*block.getIArguments());

        auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(in), shape::order(in), conv);

        return SHAPELIST(newShape);
    }

    DECLARE_TYPES(tile_to_shape) {
        getOpDescriptor()
                ->setAllowedInputTypes(sd::DataType::ANY)
                ->setSameMode(true);
    }

    DECLARE_TYPES(tile_to_shape_bp) {
        getOpDescriptor()
                ->setAllowedInputTypes(sd::DataType::ANY)
                ->setAllowedOutputTypes({ALL_FLOATS});
    }


    CUSTOM_OP_IMPL(tile_to_shape_bp, 2, 1, true, 0, -1) {
        auto input = INPUT_VARIABLE(0);
        auto epsNext = INPUT_VARIABLE(1);

        auto gradX = OUTPUT_VARIABLE(0);

        auto axisX = ShapeUtils::evalBroadcastBackwardAxis(input->shapeInfo(), epsNext->shapeInfo());
        // FIX ME: reduceAlongDimension should have a signature with result pass to avoid assigning twice
        if (!axisX.empty()) {
            auto tempRes = epsNext->reduceAlongDimension(reduce::Sum, axisX);
            gradX->assign(tempRes);
        } else
            gradX->assign(epsNext);

        STORE_RESULT(gradX);

        return Status::OK();
    }

    DECLARE_SHAPE_FN(tile_to_shape_bp) {
        auto in = inputShape->at(0);

        Nd4jLong *newShape;
        COPY_SHAPE(in, newShape);

        return SHAPELIST(CONSTANT(newShape));
    }
}
}

#endif