/*******************************************************************************
 * 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 <op_boilerplate.h>
#if NOT_EXCLUDED(OP_testcustom)

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

namespace nd4j {
    namespace ops {
        //////////////////////////////////////////////////////////////////////////
        CUSTOM_OP_IMPL(testcustom, 1, 1, false, 0, -1) {
            auto z = this->getZ(block);

            STORE_RESULT(*z);
            return Status::OK();
        }
        DECLARE_SHAPE_FN(testcustom) {
            // this test op will just return back original shape doubled
            Nd4jLong *shapeOf;
            ALLOCATE(shapeOf, block.getWorkspace(), shape::rank(inputShape->at(0)), Nd4jLong);
            for (int e = 0; e < shape::rank(inputShape->at(0)); e++)
                shapeOf[e] = inputShape->at(0)[e+1] * 2;

            auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(block.dataType(), 'c', shape::rank(inputShape->at(0)), shapeOf);
            RELEASE(shapeOf, block.getWorkspace());
            return SHAPELIST(newShape);
        }

        DECLARE_TYPES(testcustom) {
            getOpDescriptor()
                    ->setAllowedInputTypes(nd4j::DataType::ANY)
                    ->setSameMode(true);
        }
    }
}

#endif
