/*******************************************************************************
 * 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 <ops/declarable/helpers/sg_cb.h>

#define HS_MAX_EXP 6.0f

namespace nd4j {
    namespace ops {
        namespace helpers {

            int binarySearch(const int *haystack, const int needle, const int totalElements) {
                return 0;
            }

            void skipgram(NDArray &syn0, NDArray &syn1, NDArray &syn1Neg, NDArray &expTable, NDArray &negTable, NDArray &target, NDArray &ngStarter, int nsRounds, NDArray &indices, NDArray &codes, NDArray &alpha, NDArray &randomValue, NDArray &inferenceVector, const bool preciseMode, const int numWorkers) {
                auto xType = syn0.dataType();

            }

            void cbow(NDArray &syn0, NDArray &syn1, NDArray &syn1Neg, NDArray &expTable, NDArray &negTable, NDArray &target, NDArray &ngStarter, int nsRounds, NDArray &context, NDArray &lockedWords, NDArray &indices, NDArray &codes, NDArray &alpha, NDArray &randomValue, NDArray &numLabels, NDArray &inferenceVector, const bool trainWords, int numWorkers) {
                auto xType = syn0.dataType();

            }
        }
    }
}