org.deeplearning4j.util

Class Convolution1DUtils

java.lang.Object

org.deeplearning4j.util.Convolution1DUtils

public class Convolution1DUtils
extends Object

Shape utilities for 1D convolution layers

Author:

Max Pumperla

Method Summary

Modifier and Type	Method and Description
static int	effectiveKernelSize(int kernel, int dilation)
static int	getOutputSize(INDArray inputData, int kernel, int strides, int padding, ConvolutionMode convolutionMode)
static int	getOutputSize(INDArray inputData, int kernel, int strides, int padding, ConvolutionMode convolutionMode, int dilation) Get the output size (height) for the given input data and CNN1D configuration
static int	getOutputSize(int inH, int kernel, int strides, int padding, ConvolutionMode convolutionMode, int dilation) Get the output size (height) for the given input data and CNN1D configuration
static int	getSameModeTopLeftPadding(int outSize, int inSize, int kernel, int strides, int dilation) Get top padding for same mode only.
static void	validateCnn1DKernelStridePadding(int kernel, int stride, int padding) Perform validation on the CNN layer kernel/stride/padding.
static void	validateConvolutionModePadding(ConvolutionMode mode, int padding) Check that the convolution mode is consistent with the padding specification
static void	validateShapes(INDArray inputData, int eKernel, int strides, int padding, ConvolutionMode convolutionMode, int dilation, int inShape, boolean atrous)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

getOutputSize

public static int getOutputSize(INDArray inputData,
                                int kernel,
                                int strides,
                                int padding,
                                ConvolutionMode convolutionMode)

getOutputSize

public static int getOutputSize(int inH,
                                int kernel,
                                int strides,
                                int padding,
                                ConvolutionMode convolutionMode,
                                int dilation)

Get the output size (height) for the given input data and CNN1D configuration

Parameters:

inH - Input size (height, or channels).

kernel - Kernel size

strides - Stride

padding - Padding

convolutionMode - Convolution mode (Same, Strict, Truncate)

dilation - Kernel dilation

Returns:

Output size (width)

getOutputSize

public static int getOutputSize(INDArray inputData,
                                int kernel,
                                int strides,
                                int padding,
                                ConvolutionMode convolutionMode,
                                int dilation)

Get the output size (height) for the given input data and CNN1D configuration

Parameters:

inputData - Input data

kernel - Kernel size

strides - Stride

padding - Padding

convolutionMode - Convolution mode (Same, Strict, Truncate)

dilation - Kernel dilation

Returns:

Output size (width)

validateShapes

public static void validateShapes(INDArray inputData,
                                  int eKernel,
                                  int strides,
                                  int padding,
                                  ConvolutionMode convolutionMode,
                                  int dilation,
                                  int inShape,
                                  boolean atrous)

effectiveKernelSize

public static int effectiveKernelSize(int kernel,
                                      int dilation)

validateConvolutionModePadding

public static void validateConvolutionModePadding(ConvolutionMode mode,
                                                  int padding)

Check that the convolution mode is consistent with the padding specification

getSameModeTopLeftPadding

public static int getSameModeTopLeftPadding(int outSize,
                                            int inSize,
                                            int kernel,
                                            int strides,
                                            int dilation)

Get top padding for same mode only.

Parameters:

outSize - Output size (length 2 array, height dimension first)

inSize - Input size (length 2 array, height dimension first)

kernel - Kernel size (length 2 array, height dimension first)

strides - Strides (length 2 array, height dimension first)

dilation - Dilation (length 2 array, height dimension first)

Returns:

Top left padding (length 2 array, height dimension first)

validateCnn1DKernelStridePadding

public static void validateCnn1DKernelStridePadding(int kernel,
                                                    int stride,
                                                    int padding)

Perform validation on the CNN layer kernel/stride/padding. Expect int, with values > 0 for kernel size and stride, and values >= 0 for padding.

Parameters:

kernel - Kernel size to check

stride - Stride to check

padding - Padding to check