org.deeplearning4j.nn.layers.convolution.ConvolutionHelper Maven / Gradle / Ivy
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* 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
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* under the License.
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* SPDX-License-Identifier: Apache-2.0
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package org.deeplearning4j.nn.layers.convolution;
import org.deeplearning4j.nn.conf.ConvolutionMode;
import org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode;
import org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BwdDataAlgo;
import org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BwdFilterAlgo;
import org.deeplearning4j.nn.conf.layers.ConvolutionLayer.FwdAlgo;
import org.deeplearning4j.nn.gradient.Gradient;
import org.deeplearning4j.nn.layers.LayerHelper;
import org.nd4j.linalg.activations.IActivation;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.primitives.Pair;
import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
/**
* Helper for the convolution layer.
*
* @author saudet
*/
public interface ConvolutionHelper extends LayerHelper {
boolean checkSupported();
Pair backpropGradient(INDArray input, INDArray weights, INDArray bias, INDArray delta, int[] kernel,
int[] strides, int[] pad, INDArray biasGradView, INDArray weightGradView, IActivation afn,
AlgoMode mode, BwdFilterAlgo bwdFilterAlgo, BwdDataAlgo bwdDataAlgo,
ConvolutionMode convolutionMode, int[] dilation, LayerWorkspaceMgr workspaceMgr);
INDArray preOutput(INDArray input, INDArray weights, INDArray bias, int[] kernel, int[] strides, int[] pad,
AlgoMode mode, FwdAlgo fwdAlgo, ConvolutionMode convolutionMode, int[] dilation, LayerWorkspaceMgr workspaceMgr);
INDArray activate(INDArray z, IActivation afn, boolean training);
}