org.nd4j.linalg.dataset.api.preprocessor.ImageFlatteningDataSetPreProcessor Maven / Gradle / Ivy

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/*
 *  ******************************************************************************
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 *  *
 *  * 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.
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 *  * SPDX-License-Identifier: Apache-2.0
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 */

package org.nd4j.linalg.dataset.api.preprocessor;

import lombok.val;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.shape.Shape;
import org.nd4j.linalg.dataset.api.DataSet;
import org.nd4j.linalg.dataset.api.DataSetPreProcessor;

public class ImageFlatteningDataSetPreProcessor implements DataSetPreProcessor {
    @Override
    public void preProcess(DataSet toPreProcess) {
        INDArray input = toPreProcess.getFeatures();
        if (input.rank() == 2)
            return; //No op: should usually never happen in a properly configured data pipeline

        //Assume input is standard rank 4 activations - i.e., CNN image data
        //First: we require input to be in c order. But c order (as declared in array order) isn't enough; also need strides to be correct
        if (input.ordering() != 'c' || !Shape.strideDescendingCAscendingF(input))
            input = input.dup('c');

        val inShape = input.shape(); //[miniBatch,depthOut,outH,outW]
        val outShape = new long[] {inShape[0], inShape[1] * inShape[2] * inShape[3]};

        INDArray reshaped = input.reshape('c', outShape);
        toPreProcess.setFeatures(reshaped);
    }
}