A B C D E F G H I L M N O P R S T V W X Y Z _

A

ActivationReLU<T extends Tensor> - Interface in deepboof.forward

Rectified Linear Unit (ReLU) activation function.

ActivationReLU_F32 - Class in deepboof.impl.forward.standard

Implementation of ActivationReLU for Tensor_F32.

ActivationReLU_F32() - Constructor for class deepboof.impl.forward.standard.ActivationReLU_F32

ActivationReLU_F64 - Class in deepboof.impl.forward.standard

Implementation of ActivationReLU for Tensor_F64.

ActivationReLU_F64() - Constructor for class deepboof.impl.forward.standard.ActivationReLU_F64

ActivationSigmoid<T extends Tensor> - Interface in deepboof.forward

The sigmoid is defined as:

ActivationSigmoid_F32 - Class in deepboof.impl.forward.standard

Implementation of ActivationSigmoid for Tensor_F32.

ActivationSigmoid_F32() - Constructor for class deepboof.impl.forward.standard.ActivationSigmoid_F32

ActivationSigmoid_F64 - Class in deepboof.impl.forward.standard

Implementation of ActivationSigmoid for Tensor_F64.

ActivationSigmoid_F64() - Constructor for class deepboof.impl.forward.standard.ActivationSigmoid_F64

ActivationTanH<T extends Tensor> - Interface in deepboof.forward

The hyperbolic tangent (tanh) is defined as:

ActivationTanH_F32 - Class in deepboof.impl.forward.standard

Implementation of ActivationTanH for Tensor_F32.

ActivationTanH_F32() - Constructor for class deepboof.impl.forward.standard.ActivationTanH_F32

ActivationTanH_F64 - Class in deepboof.impl.forward.standard

Implementation of ActivationTanH for Tensor_F64.

ActivationTanH_F64() - Constructor for class deepboof.impl.forward.standard.ActivationTanH_F64

AD(T) - Static method in class deepboof.misc.TensorOps

Adds a dimension to the input tensor.

assignDepth() - Method in class deepboof.graph.SequenceForwardOrder

Assigns a depth from the input node for all the elements in the graph.

B

backwards(T, T, T, List<T>) - Method in interface deepboof.DFunction

Computes the derivatives of all the inputs and parameters to this function.

BaseFunction<T extends Tensor> - Class in deepboof.impl.forward.standard

Base class which implements common functionality between all functions

BaseFunction() - Constructor for class deepboof.impl.forward.standard.BaseFunction

BaseSpatialPadding2D<T extends Tensor<T>> - Class in deepboof.impl.forward.standard

Abstract class fo all virtual 2D spatial padding implementation.

BaseSpatialPadding2D(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.BaseSpatialPadding2D

BaseSpatialWindow<T extends Tensor<T>,P extends SpatialPadding2D<T>> - Class in deepboof.impl.forward.standard

Common class for implementations of SpatialConvolve2D.

BaseSpatialWindow(ConfigSpatial, P) - Constructor for class deepboof.impl.forward.standard.BaseSpatialWindow

BaseTensor - Class in deepboof

Base class for all Tensor data types.

BaseTensor() - Constructor for class deepboof.BaseTensor

BatchNorm - Interface in deepboof.forward

Batch Normalization [1] determines the mean and standard deviation (stdev) of each input element individually using the training data.

bias - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

bias - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

borderGet(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32

Handles coordinates outside the input image

borderGet(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64

Handles coordinates outside the input image

borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32

borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64

borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32

borderGet(int, int, int, int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64

boundSpatial(int[], int, int) - Static method in class deepboof.misc.TensorOps

C

C - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

cacheLocal - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

cacheLocal - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

checkBackwardsShapeChannel(Tensor<T>, Tensor<T>) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Sanity checks the input for backwards images

checkBackwardsShapeImage(Tensor<T>, Tensor<T>) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Sanity checks the input for backwards images

checkShape(String, List<int[]>, List<Tensor<?>>, boolean) - Static method in class deepboof.misc.TensorOps

Compares a list of tensors shape's against each other.

checkShape(Tensor_F64, Tensor_F64) - Static method in class deepboof.misc.TensorOps

Checks to see if the two tensors have the same shape

checkShape(Tensor_F32, Tensor_F32) - Static method in class deepboof.misc.TensorOps

Checks to see if the two tensors have the same shape

checkShape(String, int, int[], int[], boolean) - Static method in class deepboof.misc.TensorOps

Checks to see if the two tensors have the same shape, with the option to ignore the first axis for the 'actual' shape.

checkValidity() - Method in class deepboof.forward.ConfigConvolve2D

Makes sure valid configurations are set

checkValidity() - Method in class deepboof.forward.ConfigPadding

checkValidity() - Method in class deepboof.forward.ConfigSpatial

checkValidity() - Method in interface deepboof.misc.Configuration

Checks to see if the configuration is valid.

ClippedPadding2D<T extends Tensor<T>> - Interface in deepboof.forward

Interface for padding in which the region being sampled has been clipped so that it will be entirely contained inside the original image.

ClippedPadding2D_F32 - Class in deepboof.impl.forward.standard

Implementation of ConstantPadding2D_F32.

ClippedPadding2D_F32(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ClippedPadding2D_F32

ClippedPadding2D_F64 - Class in deepboof.impl.forward.standard

Implementation of ConstantPadding2D_F64.

ClippedPadding2D_F64(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ClippedPadding2D_F64

clone() - Method in class deepboof.forward.ConfigConvolve2D

clone() - Method in class deepboof.forward.ConfigPadding

COL0 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

COL1 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

combine - Variable in class deepboof.graph.Node

Operation for combining multiple input sources together

combine(List<T>, T) - Method in interface deepboof.graph.TensorMerger

computeStrides() - Method in class deepboof.Tensor

Computes how many indexes must be steped over to increment a value in each axis

config - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

config - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

Configuration for convolution

ConfigConvolve2D - Class in deepboof.forward

Configuration for 2D convolution.

ConfigConvolve2D() - Constructor for class deepboof.forward.ConfigConvolve2D

ConfigPadding - Class in deepboof.forward

Configuration for spatial padding.

ConfigPadding() - Constructor for class deepboof.forward.ConfigPadding

ConfigSpatial - Class in deepboof.forward

Common configuration for many spatial functions

ConfigSpatial() - Constructor for class deepboof.forward.ConfigSpatial

Configuration - Interface in deepboof.misc

Complex algorithms with several parameters can specify their parameters using a separate class.

ConstantPadding2D<T extends Tensor<T>> - Interface in deepboof.forward

Interface for padding which applies a constant padding to the output of the image

ConstantPadding2D_F32 - Class in deepboof.impl.forward.standard

Pads pixels outside the input image with a user specified constant value.

ConstantPadding2D_F32(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F32

ConstantPadding2D_F32(ConfigPadding, float) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F32

ConstantPadding2D_F64 - Class in deepboof.impl.forward.standard

Pads pixels outside the input image with a user specified constant value.

ConstantPadding2D_F64(ConfigPadding) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F64

ConstantPadding2D_F64(ConfigPadding, double) - Constructor for class deepboof.impl.forward.standard.ConstantPadding2D_F64

copy() - Method in class deepboof.Tensor

Returns a copy of this tensor

copyShape(int[]) - Method in class deepboof.Tensor

Copies the shape of this tensor into the provided int[]

create(int...) - Method in class deepboof.misc.TensorFactory

create(int...) - Method in class deepboof.Tensor

Creates a tensor of the same type with the specified shape

create(int...) - Method in class deepboof.tensors.Tensor_F32

create(int...) - Method in class deepboof.tensors.Tensor_F64

create(int...) - Method in class deepboof.tensors.Tensor_S32

create(int...) - Method in class deepboof.tensors.Tensor_S64

create(int...) - Method in class deepboof.tensors.Tensor_U8

createCoor() - Method in class deepboof.BaseTensor

Creates a new coordinate for this tensor.

createCoor() - Method in interface deepboof.ITensor

Creates a new coordinate for this tensor.

createCoor() - Method in class deepboof.Tensor

Creates a new coordinate for this tensor.

createLike() - Method in class deepboof.Tensor

Creates a tensor of the same type and same shape as this one

D

D - Variable in class deepboof.impl.forward.standard.FunctionLinear_F32

D - Variable in class deepboof.impl.forward.standard.FunctionLinear_F64

d - Variable in class deepboof.tensors.Tensor_F32

Storage for tensor data.

d - Variable in class deepboof.tensors.Tensor_F64

Storage for tensor data.

d - Variable in class deepboof.tensors.Tensor_S32

d - Variable in class deepboof.tensors.Tensor_S64

d - Variable in class deepboof.tensors.Tensor_U8

deepboof - package deepboof

deepboof.factory - package deepboof.factory

deepboof.forward - package deepboof.forward

deepboof.graph - package deepboof.graph

deepboof.impl.forward.standard - package deepboof.impl.forward.standard

deepboof.misc - package deepboof.misc

deepboof.tensors - package deepboof.tensors

DeepBoofConstants - Class in deepboof

Various constants used throughout DeepBoof

DeepBoofConstants() - Constructor for class deepboof.DeepBoofConstants

DeepBoofOps - Class in deepboof.misc

DeepBoofOps() - Constructor for class deepboof.misc.DeepBoofOps

DFunction<T extends Tensor<T>> - Interface in deepboof

Functions which also implement the backwards step and compute the gradient for all inputs.

E

elementAdd(Tensor_F32, Tensor_F32, Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32

Performs element-wise addition between the two tensors and stores results in output.

elementAdd(Tensor_F64, Tensor_F64, Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64

Performs element-wise addition between the two tensors and stores results in output.

elementMult(Tensor_F32, float) - Static method in class deepboof.misc.TensorOps_F32

Performs an element-wise scalar multiplication on the tensor

elementMult(Tensor_F32, float, Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32

Performs an element-wise scalar multiplication

elementMult(Tensor_F32, Tensor_F32, Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32

Performs element-wise multiplication between the two tensors and stores results in output.

elementMult(Tensor_F64, double) - Static method in class deepboof.misc.TensorOps_F64

Performs an element-wise scalar multiplication on the tensor

elementMult(Tensor_F64, double, Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64

Performs an element-wise scalar multiplication

elementMult(Tensor_F64, Tensor_F64, Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64

Performs element-wise multiplication between the two tensors and stores results in output.

elementSum(Tensor) - Static method in class deepboof.misc.TensorOps

Computes the sum of all the elements in the tensor

elementSum(Tensor_F32) - Static method in class deepboof.misc.TensorOps_F32

Computes the sum of all the elements in the tensor

elementSum(Tensor_F64) - Static method in class deepboof.misc.TensorOps_F64

Computes the sum of all the elements in the tensor

ElementWiseFunction<T extends Tensor> - Class in deepboof.impl.forward.standard

Base class for element-wise functions

ElementWiseFunction() - Constructor for class deepboof.impl.forward.standard.ElementWiseFunction

EPS - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

EPS - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

evaluating() - Method in interface deepboof.DFunction

Puts the function into evaluation mode.

F

F - Variable in class deepboof.forward.ConfigConvolve2D

Number of kernels

F - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

F - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

factory - Variable in class deepboof.graph.FunctionSequence

FactoryForwards - Class in deepboof.factory

FactoryForwards() - Constructor for class deepboof.factory.FactoryForwards

fill(Tensor, double) - Static method in class deepboof.misc.TensorOps

fill(Tensor_F32, float) - Static method in class deepboof.misc.TensorOps_F32

Fills the tensor with the specified value

fill(Tensor_F64, double) - Static method in class deepboof.misc.TensorOps_F64

Fills the tensor with the specified value

fillSpatialBorder(Tensor_F32, int[], int, int, int, int, float) - Static method in class deepboof.misc.TensorOps_F32

Fills the border with the specified value.

fillSpatialBorder(Tensor_F64, int[], int, int, int, int, double) - Static method in class deepboof.misc.TensorOps_F64

Fills the border with the specified value.

findInput() - Method in class deepboof.graph.SequenceForwardOrder

Finds the input node.

forward(T, T) - Method in interface deepboof.forward.ActivationReLU

Applies the ReLU operator to each element in the input tensor and saves the results in the output tensor.

forward(T, T) - Method in interface deepboof.forward.FunctionBatchNorm

Applies batch normalization to each variable in the input.

forward(T, T) - Method in interface deepboof.forward.FunctionElementWiseMult

Performs scalar multiplication on each element in the input tensor.

forward(T, T) - Method in interface deepboof.forward.FunctionLinear

Input tensor shape =(N, d[i], ...

forward(T, T) - Method in interface deepboof.forward.SpatialBatchNorm

Performs batch norm on spatial data.

forward(T, T) - Method in interface deepboof.forward.SpatialConvolve2D

Applies forward spacial convolution.

forward(T, T) - Method in interface deepboof.forward.SpatialPooling

Processes a spatial tensor.

forward(T, T) - Method in interface deepboof.Function

Performs forward pass of the function on the provided inputs.

forward(T, T) - Method in class deepboof.impl.forward.standard.BaseFunction

forwardAt_border(SpatialPadding2D_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

forwardAt_border(SpatialPadding2D_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

forwardAt_border(SpatialPadding2D_F32, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

forwardAt_border(SpatialPadding2D_F64, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

forwardAt_border(SpatialPadding2D_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

forwardAt_border(SpatialPadding2D_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

forwardAt_border(VT, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowChannel

Applies the operations at the specified window and stores the results at the specified output coordinate.

forwardAt_border(P, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowImage

Applies the operations at the specified window and stores the results at the specified output coordinate.

forwardAt_inner(Tensor_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

forwardAt_inner(Tensor_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

forwardAt_inner(Tensor_F32, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

forwardAt_inner(Tensor_F64, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

forwardAt_inner(Tensor_F32, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

forwardAt_inner(Tensor_F64, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

forwardAt_inner(T, int, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowChannel

Applies the operations at the specified window and stores the results at the specified output coordinate.

forwardAt_inner(T, int, int, int, int, int) - Method in class deepboof.impl.forward.standard.SpatialWindowImage

Applies the operations at the specified window and stores the results at the specified output coordinate.

forwardChannel(T, T) - Method in class deepboof.impl.forward.standard.SpatialWindowChannel

forwardImage(T, T) - Method in class deepboof.impl.forward.standard.SpatialWindowImage

forwards(Tensor_F32, Tensor_F32, Tensor_F32, Tensor_F32, int, int, int) - Static method in class deepboof.impl.forward.standard.FunctionLinear_F32

forwards(Tensor_F64, Tensor_F64, Tensor_F64, Tensor_F64, int, int, int) - Static method in class deepboof.impl.forward.standard.FunctionLinear_F64

Function<T extends Tensor> - Interface in deepboof

High level interface for functions in an Artificial Neural Network.

function - Variable in class deepboof.graph.Node

Function for this node

FunctionBatchNorm<T extends Tensor<T>> - Interface in deepboof.forward

Implementation of a forward only Batch Normalization.

FunctionBatchNorm_F32 - Class in deepboof.impl.forward.standard

Implementation of FunctionBatchNorm for Tensor_F32.

FunctionBatchNorm_F32(boolean) - Constructor for class deepboof.impl.forward.standard.FunctionBatchNorm_F32

FunctionBatchNorm_F64 - Class in deepboof.impl.forward.standard

Implementation of FunctionBatchNorm for Tensor_F64.

FunctionBatchNorm_F64(boolean) - Constructor for class deepboof.impl.forward.standard.FunctionBatchNorm_F64

FunctionElementWiseMult<T extends Tensor> - Interface in deepboof.forward

Multiplies each element in a tensor by the same value.

FunctionElementWiseMult_F32 - Class in deepboof.impl.forward.standard

Implementation of FunctionElementWiseMult for Tensor_F32.

FunctionElementWiseMult_F32(float) - Constructor for class deepboof.impl.forward.standard.FunctionElementWiseMult_F32

FunctionElementWiseMult_F64 - Class in deepboof.impl.forward.standard

Implementation of FunctionElementWiseMult for Tensor_F64.

FunctionElementWiseMult_F64(double) - Constructor for class deepboof.impl.forward.standard.FunctionElementWiseMult_F64

FunctionLinear<T extends Tensor> - Interface in deepboof.forward

Applies a linear (or affine) equation to input array.

FunctionLinear_F32 - Class in deepboof.impl.forward.standard

Implementation of FunctionLinear for Tensor_F32.

FunctionLinear_F32(int) - Constructor for class deepboof.impl.forward.standard.FunctionLinear_F32

FunctionLinear_F64 - Class in deepboof.impl.forward.standard

Implementation of FunctionLinear for Tensor_F64.

FunctionLinear_F64(int) - Constructor for class deepboof.impl.forward.standard.FunctionLinear_F64

FunctionSequence<T extends Tensor<T>,F extends Function<T>> - Class in deepboof.graph

Processes a sequence of forward functions.

FunctionSequence(List<Node<T, F>>, Class<T>) - Constructor for class deepboof.graph.FunctionSequence

Configures the sequence

G

get(int...) - Method in class deepboof.forward.SpatialPadding2D_F32

Returns the element's value at the specified coordinate.

get(int) - Method in class deepboof.forward.SpatialPadding2D_F32

Invalid accessor.

get(int, int) - Method in class deepboof.forward.SpatialPadding2D_F32

Invalid accessor.

get(int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32

Invalid accessor.

get(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32

Returns the value of the virtual padded tensor at the specified coordinate.

get(int, int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F32

Invalid accessor.

get(int...) - Method in class deepboof.forward.SpatialPadding2D_F64

Returns the element's value at the specified coordinate.

get(int) - Method in class deepboof.forward.SpatialPadding2D_F64

Invalid accessor.

get(int, int) - Method in class deepboof.forward.SpatialPadding2D_F64

Invalid accessor.

get(int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64

Invalid accessor.

get(int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64

Returns the value of the virtual padded tensor at the specified coordinate.

get(int, int, int, int, int) - Method in class deepboof.forward.SpatialPadding2D_F64

Invalid accessor.

get(int...) - Method in class deepboof.tensors.Tensor_F32

get(int...) - Method in class deepboof.tensors.Tensor_F64

get(int...) - Method in interface deepboof.tensors.VTensor_F32

Returns the element's value at the specified coordinate.

get(int) - Method in interface deepboof.tensors.VTensor_F32

Returns the element's value at the specified coordinate.

get(int, int) - Method in interface deepboof.tensors.VTensor_F32

Returns the element's value at the specified coordinate.

get(int, int, int) - Method in interface deepboof.tensors.VTensor_F32

Returns the element's value at the specified coordinate.

get(int, int, int, int) - Method in interface deepboof.tensors.VTensor_F32

Returns the element's value at the specified coordinate.

get(int, int, int, int, int) - Method in interface deepboof.tensors.VTensor_F32

Returns the element's value at the specified coordinate.

get(int...) - Method in interface deepboof.tensors.VTensor_F64

Returns the element's value at the specified coordinate.

get(int) - Method in interface deepboof.tensors.VTensor_F64

Returns the element's value at the specified coordinate.

get(int, int) - Method in interface deepboof.tensors.VTensor_F64

Returns the element's value at the specified coordinate.

get(int, int, int) - Method in interface deepboof.tensors.VTensor_F64

Returns the element's value at the specified coordinate.

get(int, int, int, int) - Method in interface deepboof.tensors.VTensor_F64

Returns the element's value at the specified coordinate.

get(int, int, int, int, int) - Method in interface deepboof.tensors.VTensor_F64

Returns the element's value at the specified coordinate.

getAtIndex(int) - Method in class deepboof.tensors.Tensor_F32

getAtIndex(int) - Method in class deepboof.tensors.Tensor_F64

getClippingOffsetCol(int) - Method in interface deepboof.forward.SpatialPadding2D

Returns how far away the column is from the clipping border.

getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32

getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64

getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32

getClippingOffsetCol(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64

getClippingOffsetRow(int) - Method in interface deepboof.forward.SpatialPadding2D

Returns how far away the row is from the clipping border.

getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32

getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64

getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32

getClippingOffsetRow(int) - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64

getConfiguration() - Method in interface deepboof.forward.SpatialConvolve2D

Returns configuration of spacial parameters

getConfiguration() - Method in interface deepboof.forward.SpatialPooling

Returns pooling configuration

getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

getConfiguration() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

getData() - Method in class deepboof.Tensor

Returns internal array used to store tensor data.

getData() - Method in class deepboof.tensors.Tensor_F32

getData() - Method in class deepboof.tensors.Tensor_F64

getData() - Method in class deepboof.tensors.Tensor_S32

getData() - Method in class deepboof.tensors.Tensor_S64

getData() - Method in class deepboof.tensors.Tensor_U8

getDataType() - Method in class deepboof.forward.SpatialPadding2D_F32

getDataType() - Method in class deepboof.forward.SpatialPadding2D_F64

getDataType() - Method in interface deepboof.ITensor

Class of primitive data type used to store tensor

getDataType() - Method in class deepboof.tensors.Tensor_F32

getDataType() - Method in class deepboof.tensors.Tensor_F64

getDataType() - Method in class deepboof.tensors.Tensor_S32

getDataType() - Method in class deepboof.tensors.Tensor_S64

getDataType() - Method in class deepboof.tensors.Tensor_U8

getDimension() - Method in class deepboof.BaseTensor

Returns the number of dimensions in the tensor

getDimension() - Method in interface deepboof.ITensor

Returns the number of dimensions in the tensor

getDouble(int...) - Method in class deepboof.Tensor

Accessor function which allows any tensor's element to be read as a double.

getDouble(int...) - Method in class deepboof.tensors.Tensor_F32

getDouble(int...) - Method in class deepboof.tensors.Tensor_F64

getDouble(int...) - Method in class deepboof.tensors.Tensor_S32

getDouble(int...) - Method in class deepboof.tensors.Tensor_S64

getDouble(int...) - Method in class deepboof.tensors.Tensor_U8

getEPS() - Method in interface deepboof.forward.BatchNorm

getEPS() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

getEPS() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

getNodeOutput(int) - Method in class deepboof.graph.FunctionSequence

getNumberOfOutputs() - Method in interface deepboof.forward.FunctionLinear

Returns the number of output elements.

getNumberOfOutputs() - Method in class deepboof.impl.forward.standard.FunctionLinear_F32

getNumberOfOutputs() - Method in class deepboof.impl.forward.standard.FunctionLinear_F64

getOutputShape() - Method in interface deepboof.Function

Returns the output tensor's shape, without the mini-batch dimension.

getOutputShape() - Method in class deepboof.graph.FunctionSequence

getOutputShape() - Method in interface deepboof.graph.TensorMerger

getOutputShape() - Method in class deepboof.impl.forward.standard.BaseFunction

getPadding() - Method in interface deepboof.forward.SpatialConvolve2D

Returns the padding

getPadding() - Method in class deepboof.impl.forward.standard.BaseSpatialWindow

getPaddingCol0() - Method in interface deepboof.forward.SpatialPadding2D

Returns the lower-extent padding along the tensor's columns.

getPaddingCol0() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Returns the lower-extent padding along the tensor's columns.

getPaddingCol1() - Method in interface deepboof.forward.SpatialPadding2D

Returns the upper-extent padding along the tensor's columns.

getPaddingCol1() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Returns the upper-extent padding along the tensor's columns.

getPaddingRow0() - Method in interface deepboof.forward.SpatialPadding2D

Returns the lower-extent padding along the tensor's rows.

getPaddingRow0() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Returns the lower-extent padding along the tensor's rows.

getPaddingRow1() - Method in interface deepboof.forward.SpatialPadding2D

Returns the upper-extent padding along the tensor's rows.

getPaddingRow1() - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Returns the upper-extent padding along the tensor's rows.

getPaddingValue() - Method in interface deepboof.forward.ConstantPadding2D

getPaddingValue() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32

getPaddingValue() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64

getParameters() - Method in interface deepboof.Function

If the parameters have been set, then this returns the list of parameters.

getParameters() - Method in class deepboof.impl.forward.standard.BaseFunction

getParameterShapes() - Method in interface deepboof.Function

Returns the shape of input tensors, without the mini-batch dimension.

getParameterShapes() - Method in class deepboof.impl.forward.standard.BaseFunction

getPeriodX() - Method in class deepboof.forward.ConfigSpatial

The period at which the kernel samples the input image along the x-axis

getPeriodY() - Method in class deepboof.forward.ConfigSpatial

The period at which the kernel samples the input image along the y-axis

getScalar() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F32

getScalar() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F64

getSequence() - Method in class deepboof.graph.FunctionSequence

getShape() - Method in class deepboof.BaseTensor

Returns the internal array that specifies the tensor's shape.

getShape() - Method in interface deepboof.ITensor

Returns the internal array that specifies the tensor's shape.

getTensorType() - Method in interface deepboof.forward.SpatialPadding2D

Returns the type of input tensor it can process

getTensorType() - Method in interface deepboof.Function

Returns the type of tensor it can process

getTensorType() - Method in class deepboof.graph.FunctionSequence

getTensorType() - Method in class deepboof.impl.forward.standard.ActivationReLU_F32

getTensorType() - Method in class deepboof.impl.forward.standard.ActivationReLU_F64

getTensorType() - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F32

getTensorType() - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F64

getTensorType() - Method in class deepboof.impl.forward.standard.ActivationTanH_F32

getTensorType() - Method in class deepboof.impl.forward.standard.ActivationTanH_F64

getTensorType() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32

getTensorType() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64

getTensorType() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32

getTensorType() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64

getTensorType() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

getTensorType() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

getTensorType() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F32

getTensorType() - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F64

getTensorType() - Method in class deepboof.impl.forward.standard.FunctionLinear_F32

getTensorType() - Method in class deepboof.impl.forward.standard.FunctionLinear_F64

getTensorType() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

getTensorType() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

getTensorType() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

getTensorType() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

getTensorType() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

getTensorType() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

getTensorType() - Method in class deepboof.misc.TensorFactory

getTotalKernels() - Method in class deepboof.forward.ConfigConvolve2D

Number of kernels which will be convolved across the input.

getX0() - Method in class deepboof.forward.ConfigPadding

Padding applied to input data along the lower extent of X axis

getX1() - Method in class deepboof.forward.ConfigPadding

Padding applied to input data along the upper extent of X axis

getY0() - Method in class deepboof.forward.ConfigPadding

Padding applies to input data along the lower extent of Y axis

getY1() - Method in class deepboof.forward.ConfigPadding

Padding applies to input data along the upper extent of Y axis

H

H - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

hasGammaBeta() - Method in interface deepboof.forward.BatchNorm

If it returns true then it expects a second set of parameters that defines gamma and beta.

hasGammaBeta() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

hasGammaBeta() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

HH - Variable in class deepboof.forward.ConfigSpatial

Window height

HH - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

Ho - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

Hp - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

I

idx(int...) - Method in class deepboof.Tensor

Returns the index of the coordinate.

idx(int) - Method in class deepboof.Tensor

Specialized version of Tensor.idx(int...) for 1-D tensors.

idx(int, int) - Method in class deepboof.Tensor

Specialized version of Tensor.idx(int...) for 2-D tensors.

idx(int, int, int) - Method in class deepboof.Tensor

Specialized version of Tensor.idx(int...) for 3-D tensors.

idx(int, int, int, int) - Method in class deepboof.Tensor

Specialized version of Tensor.idx(int...) for 4-D tensors.

idx(int, int, int, int, int) - Method in class deepboof.Tensor

Specialized version of Tensor.idx(int...) for 5-D tensors.

indexToCoor(int, int[]) - Method in class deepboof.Tensor

Converts an array index into a coordinate

initialize(int...) - Method in interface deepboof.Function

Initializes internal data structures given the shape of the input tensor, minus the stacked input dimension.

initialize(int[]) - Method in class deepboof.graph.FunctionSequence

Initialize and declare memory for all nodes in the network given the shape of the input tensor

initialize(List<int[]>) - Method in interface deepboof.graph.TensorMerger

initialize(int...) - Method in class deepboof.impl.forward.standard.BaseFunction

innerArrayGrow(int) - Method in class deepboof.Tensor

Re-declare inner array so that it is at least of length N

innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_F32

innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_F64

innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_S32

innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_S64

innerArrayGrow(int) - Method in class deepboof.tensors.Tensor_U8

innerArrayLength() - Method in class deepboof.Tensor

Length of inner array as returned by "data.length"

innerArrayLength() - Method in class deepboof.tensors.Tensor_F32

innerArrayLength() - Method in class deepboof.tensors.Tensor_F64

innerArrayLength() - Method in class deepboof.tensors.Tensor_S32

innerArrayLength() - Method in class deepboof.tensors.Tensor_S64

innerArrayLength() - Method in class deepboof.tensors.Tensor_U8

innerLowerExtent(int, int) - Static method in class deepboof.impl.forward.standard.BaseSpatialWindow

The lower extent in output coordinates for regions that are contained entirely inside the original image.

innerUpperExtent(int, int, int, int) - Static method in class deepboof.impl.forward.standard.BaseSpatialWindow

The upper extent int output coordinates for regions that are contained entirely inside the original image.

input - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

InputAddress - Class in deepboof.graph

Address which points to the input of a node

InputAddress(String) - Constructor for class deepboof.graph.InputAddress

InputAddress() - Constructor for class deepboof.graph.InputAddress

insertSpatial(Tensor_F32, int[], Tensor_F32, int[]) - Static method in class deepboof.misc.TensorOps_F32

Inserts the spatial region of one tensor into another.

insertSpatial(Tensor_F64, int[], Tensor_F64, int[]) - Static method in class deepboof.misc.TensorOps_F64

Inserts the spatial region of one tensor into another.

insertSubChannel(Tensor_F32, int, int, Tensor_F32, int, int, int, int) - Static method in class deepboof.misc.TensorOps_F32

Used to copy a sub-image between two image tensors.

insertSubChannel(Tensor_F64, int, int, Tensor_F64, int, int, int, int) - Static method in class deepboof.misc.TensorOps_F64

Used to copy a sub-image between two image tensors.

isClipped() - Method in interface deepboof.forward.SpatialPadding2D

Returns true if this is a clipped border or false of it is not.

isClipped() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F32

isClipped() - Method in class deepboof.impl.forward.standard.ClippedPadding2D_F64

isClipped() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F32

isClipped() - Method in class deepboof.impl.forward.standard.ConstantPadding2D_F64

isEntirelyBorder(int, int) - Method in class deepboof.impl.forward.standard.BaseSpatialWindow

Do all regions interact with the image border? The provided point is the lower-extent of the output pixel which doesn't interact with input image border.

isLearning() - Method in interface deepboof.DFunction

Is the function in the learning state?

isShape(int...) - Method in class deepboof.BaseTensor

Checks to see if the supplied shape is the same as the tensor's shape

isShape(int...) - Method in interface deepboof.ITensor

Checks to see if the supplied shape is the same as the tensor's shape

isSub() - Method in class deepboof.Tensor

Returns true if it is a sub-tensor.

ITensor - Interface in deepboof

Tensor Interface

L

learning() - Method in interface deepboof.DFunction

Puts the function into learning mode.

length(int) - Method in class deepboof.BaseTensor

Returns the length of a dimension/axis.

length(int) - Method in interface deepboof.ITensor

Returns the length of a dimension/axis.

length(int) - Method in class deepboof.Tensor

Returns the length of a dimension/axis.

length() - Method in class deepboof.Tensor

Length of used elements in Tensor's data array.

lookup - Variable in class deepboof.graph.FunctionSequence

M

M - Variable in class deepboof.impl.forward.standard.FunctionLinear_F32

M - Variable in class deepboof.impl.forward.standard.FunctionLinear_F64

miniBatchSize - Variable in class deepboof.impl.forward.standard.BaseFunction

Number of inputs in the mini-batch

N

N - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

name - Variable in class deepboof.graph.Node

Unique identifier for this function

Node<T extends Tensor<T>,F extends Function<T>> - Class in deepboof.graph

Node in a network graph which describes the network's processing sequence.

Node() - Constructor for class deepboof.graph.Node

NodeData(Node<?, ?>) - Constructor for class deepboof.graph.SequenceForwardOrder.NodeData

nodeName - Variable in class deepboof.graph.InputAddress

O

outerLength(int[], int) - Static method in class deepboof.misc.TensorOps

Computes the number of elements for an inner portion of the tensor starting at the specified index and going outside

output - Variable in class deepboof.impl.forward.standard.SpatialWindowChannel

output - Variable in class deepboof.impl.forward.standard.SpatialWindowImage

outputStorage - Variable in class deepboof.graph.FunctionSequence

P

padding - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

PaddingType - Enum in deepboof

Specifies the type of padding applied to a spacial function.

parameters - Variable in class deepboof.impl.forward.standard.BaseFunction

params - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

params - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

pathData(String) - Static method in class deepboof.misc.DeepBoofOps

pathToBase() - Static method in class deepboof.misc.DeepBoofOps

pathToRoot() - Static method in class deepboof.misc.TensorOps

periodX - Variable in class deepboof.forward.ConfigSpatial

Sample period.

periodY - Variable in class deepboof.forward.ConfigSpatial

Sample period.

poolingSize - Variable in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

poolingSize - Variable in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

printSpatial(Tensor_F32, int, int) - Static method in class deepboof.misc.TensorOps_F32

Prints a single batch and channel in a spatial tensor

printSpatial(Tensor_F64, int, int) - Static method in class deepboof.misc.TensorOps_F64

Prints a single batch and channel in a spatial tensor

process(T, T) - Method in class deepboof.graph.FunctionSequence

Process the input tensor and compute the output tensor by feeding the results through the network.

putIntoForwardOrder() - Method in class deepboof.graph.SequenceForwardOrder

Orders list to ensure sequential forward ordering of nodes.

R

random(Random, boolean, int...) - Method in class deepboof.misc.TensorFactory

random(Random, boolean, double, double, int...) - Method in class deepboof.misc.TensorFactory

random(Random, boolean, int...) - Static method in class deepboof.misc.TensorFactory_F32

Creates a random tensor with the specified shape and values from -1 to 1

random(Random, boolean, int...) - Static method in class deepboof.misc.TensorFactory_F64

Creates a random tensor with the specified shape and values from -1 to 1

randomM(Random, boolean, int, int[]) - Method in class deepboof.misc.TensorFactory

Creates a random tensor with the specified shape and values from -1 to 1

randomMM(Random, boolean, float, float, int...) - Static method in class deepboof.misc.TensorFactory_F32

Creates a random tensor with the specified shape and value range

randomMM(Random, boolean, float, float, List<int[]>) - Static method in class deepboof.misc.TensorFactory_F32

Creates a random tensor with the specified shape and value range

randomMM(Random, float, float, Tensor_F32) - Static method in class deepboof.misc.TensorFactory_F32

Fills the tensor with random numbers selected from a uniform distribution.

randomMM(Random, boolean, double, double, int...) - Static method in class deepboof.misc.TensorFactory_F64

Creates a random tensor with the specified shape and value range

randomMM(Random, boolean, double, double, List<int[]>) - Static method in class deepboof.misc.TensorFactory_F64

Creates a random tensor with the specified shape and value range

randomMM(Random, double, double, Tensor_F64) - Static method in class deepboof.misc.TensorFactory_F64

Fills the tensor with random numbers selected from a uniform distribution.

requiresGammaBeta - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

requiresGammaBeta - Variable in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

reset() - Method in class deepboof.graph.SequenceForwardOrder.NodeData

reshape(int...) - Method in class deepboof.Tensor

Reshape for an arbitrary number of dimensions

reshape(int) - Method in class deepboof.Tensor

Reshape for 1-D tensors.

reshape(int, int) - Method in class deepboof.Tensor

Reshape for 2-D tensors.

reshape(int, int, int) - Method in class deepboof.Tensor

Reshape for 3-D tensors.

reshape(int, int, int, int) - Method in class deepboof.Tensor

Reshape for 4-D tensors.

reshape(int, int, int, int, int) - Method in class deepboof.Tensor

Reshape for 5-D tensors.

reshape() - Method in class deepboof.Tensor

Reshape for when the inner shape variable has already been adjusted.

ROW0 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

ROW1 - Variable in class deepboof.impl.forward.standard.BaseSpatialPadding2D

S

sequence - Variable in class deepboof.graph.FunctionSequence

SequenceForwardOrder - Class in deepboof.graph

Orders an unsorted list of nodes so that they can be processed in sequence and have all of their dependencies meet prior to being invoked.

SequenceForwardOrder(List<Node<?, ?>>) - Constructor for class deepboof.graph.SequenceForwardOrder

Constructor

SequenceForwardOrder.NodeData - Class in deepboof.graph

setData(Object) - Method in class deepboof.Tensor

Used to change the internal array in an abstract way

setData(Object) - Method in class deepboof.tensors.Tensor_F32

setData(Object) - Method in class deepboof.tensors.Tensor_F64

setData(Object) - Method in class deepboof.tensors.Tensor_S32

setData(Object) - Method in class deepboof.tensors.Tensor_S64

setData(Object) - Method in class deepboof.tensors.Tensor_U8

setEPS(double) - Method in interface deepboof.forward.BatchNorm

Used to specify the EPS value.

setEPS(double) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

setEPS(double) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

setInput(T) - Method in interface deepboof.forward.SpatialPadding2D

Spatial tensor that padding is being added around

setInput(T) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Spatial tensor that padding is being added around

setParameters(List<T>) - Method in interface deepboof.forward.ActivationReLU

Can skip.

setParameters(List<T>) - Method in interface deepboof.forward.FunctionBatchNorm

See FunctionBatchNorm.forward(T, T) for a description of parameters.

setParameters(List<T>) - Method in interface deepboof.forward.FunctionLinear

See FunctionLinear.forward(T, T) for a description of parameters.

setParameters(List<T>) - Method in interface deepboof.forward.SpatialBatchNorm

See SpatialBatchNorm.forward(T, T) for a description of parameters.

setParameters(List<T>) - Method in interface deepboof.forward.SpatialConvolve2D

See SpatialConvolve2D.forward(T, T) for a description of parameters.

setParameters(List<T>) - Method in interface deepboof.forward.SpatialPooling

Can skip.

setParameters(List<T>) - Method in interface deepboof.Function

Specifies learnable function parameters, e.g.

setParameters(Map<String, List<T>>) - Method in class deepboof.graph.FunctionSequence

Specify the parameters for each node in the network

setParameters(List<T>) - Method in class deepboof.impl.forward.standard.BaseFunction

setTo(T) - Method in class deepboof.Tensor

Turns 'this' tensor into a copy of the provided tensor.

shape - Variable in class deepboof.BaseTensor

The lengths of each dimension/axis.

shapeGivenInput(int...) - Method in interface deepboof.forward.SpatialPadding2D

Returns what the tensor's shape will be when given can input tensor with the spcified shape.

shapeGivenInput(int...) - Method in class deepboof.impl.forward.standard.BaseSpatialPadding2D

Returns what the tensor's shape will be when given can input tensor with the spcified shape.

shapeInput - Variable in class deepboof.impl.forward.standard.BaseFunction

shapeOutput - Variable in class deepboof.impl.forward.standard.BaseFunction

shapeParameters - Variable in class deepboof.impl.forward.standard.BaseFunction

sources - Variable in class deepboof.graph.Node

Specifies locations of inputs to this function

SpatialAveragePooling<T extends Tensor> - Interface in deepboof.forward

Max spatial pooling find the average value inside the pooling region.

SpatialAveragePooling_F32 - Class in deepboof.impl.forward.standard

Implementation of SpatialAveragePooling for Tensor_F32.

SpatialAveragePooling_F32(ConfigSpatial, SpatialPadding2D_F32) - Constructor for class deepboof.impl.forward.standard.SpatialAveragePooling_F32

SpatialAveragePooling_F64 - Class in deepboof.impl.forward.standard

Implementation of SpatialAveragePooling for Tensor_F64.

SpatialAveragePooling_F64(ConfigSpatial, SpatialPadding2D_F64) - Constructor for class deepboof.impl.forward.standard.SpatialAveragePooling_F64

SpatialBatchNorm<T extends Tensor<T>> - Interface in deepboof.forward

Spatial Batch Normalization seeks to maintain the convolutional property, "that different elements of the same feature map, at different locations, are normalized in the same way." [1] Thus the input tensor (N,C,H,W) is "reshaped" such that it is (N*H*W,C) and it's treated like a mini-batch with N*H*W elements.

SpatialBatchNorm_F32 - Class in deepboof.impl.forward.standard

Implementation of SpatialBatchNorm for Tensor_F32

SpatialBatchNorm_F32(boolean) - Constructor for class deepboof.impl.forward.standard.SpatialBatchNorm_F32

SpatialBatchNorm_F64 - Class in deepboof.impl.forward.standard

Implementation of SpatialBatchNorm for Tensor_F64

SpatialBatchNorm_F64(boolean) - Constructor for class deepboof.impl.forward.standard.SpatialBatchNorm_F64

SpatialConvolve2D<T extends Tensor<T>> - Interface in deepboof.forward

Performs convolutions across an input image with special kernels that have 'C' channels, one for each input image.

SpatialConvolve2D_F32 - Class in deepboof.impl.forward.standard

Implementation of SpatialConvolve2D for Tensor_F32

SpatialConvolve2D_F32(ConfigConvolve2D, SpatialPadding2D_F32) - Constructor for class deepboof.impl.forward.standard.SpatialConvolve2D_F32

SpatialConvolve2D_F64 - Class in deepboof.impl.forward.standard

Implementation of SpatialConvolve2D for Tensor_F64

SpatialConvolve2D_F64(ConfigConvolve2D, SpatialPadding2D_F64) - Constructor for class deepboof.impl.forward.standard.SpatialConvolve2D_F64

SpatialMaxPooling<T extends Tensor> - Interface in deepboof.forward

Max spatial pooling find the maximum value inside the pooling region.

SpatialMaxPooling_F32 - Class in deepboof.impl.forward.standard

Implementation of SpatialMaxPooling for Tensor_F32.

SpatialMaxPooling_F32(ConfigSpatial, SpatialPadding2D_F32) - Constructor for class deepboof.impl.forward.standard.SpatialMaxPooling_F32

SpatialMaxPooling_F64 - Class in deepboof.impl.forward.standard

Implementation of SpatialMaxPooling for Tensor_F64.

SpatialMaxPooling_F64(ConfigSpatial, SpatialPadding2D_F64) - Constructor for class deepboof.impl.forward.standard.SpatialMaxPooling_F64

spatialPadding(ConfigPadding, Class<T>) - Static method in class deepboof.factory.FactoryForwards

SpatialPadding2D<T extends Tensor<T>> - Interface in deepboof.forward

Interface for all virtual 2D spatial padding implementation.

SpatialPadding2D_F32 - Class in deepboof.forward

Abstract class for F64 implementations of BaseSpatialPadding2D.

SpatialPadding2D_F32(ConfigPadding) - Constructor for class deepboof.forward.SpatialPadding2D_F32

SpatialPadding2D_F64 - Class in deepboof.forward

Abstract class for F64 implementations of BaseSpatialPadding2D.

SpatialPadding2D_F64(ConfigPadding) - Constructor for class deepboof.forward.SpatialPadding2D_F64

SpatialPooling<T extends Tensor> - Interface in deepboof.forward

Spatial pooling down samples the input spatial tensors by finding a representative value inside each pooling region.

SpatialWindowChannel<T extends Tensor<T>,VT extends SpatialPadding2D<T>> - Class in deepboof.impl.forward.standard

Implementation of BaseSpatialWindow which processes the spatial tensor is processed in BCHW (mini-batch, channel, height, width) order

SpatialWindowChannel(ConfigSpatial, VT) - Constructor for class deepboof.impl.forward.standard.SpatialWindowChannel

SpatialWindowImage<T extends Tensor<T>,P extends SpatialPadding2D<T>> - Class in deepboof.impl.forward.standard

Implementation of BaseSpatialWindow which processes the spatial tensor is one image in a mini batch at a time.

SpatialWindowImage(ConfigSpatial, P) - Constructor for class deepboof.impl.forward.standard.SpatialWindowImage

startIndex - Variable in class deepboof.Tensor

The index in the input array that this tensor starts at.

stride(int) - Method in class deepboof.Tensor

Returns the stride at the specified dimension.

strides - Variable in class deepboof.Tensor

Stride for each axis

subtensor - Variable in class deepboof.Tensor

If this tensor is wrapped around another array which it doesn't own then it is a sub-tensor.

subtensor(int, int[]) - Method in class deepboof.Tensor

Creates a subtensor from this tensor.

sumTensorLength(List<int[]>) - Static method in class deepboof.misc.TensorOps

Returns the total length of all the tensors in the list summed together

T

Tensor<T extends Tensor> - Class in deepboof

Base class for Tensors.

Tensor() - Constructor for class deepboof.Tensor

Tensor_F32 - Class in deepboof.tensors

Tensor_F32(int...) - Constructor for class deepboof.tensors.Tensor_F32

Tensor_F32() - Constructor for class deepboof.tensors.Tensor_F32

Tensor_F64 - Class in deepboof.tensors

Tensor_F64(int...) - Constructor for class deepboof.tensors.Tensor_F64

Tensor_F64() - Constructor for class deepboof.tensors.Tensor_F64

Tensor_S32 - Class in deepboof.tensors

Tensor_S32(int...) - Constructor for class deepboof.tensors.Tensor_S32

Tensor_S32() - Constructor for class deepboof.tensors.Tensor_S32

Tensor_S64 - Class in deepboof.tensors

Tensor_S64(int...) - Constructor for class deepboof.tensors.Tensor_S64

Tensor_S64() - Constructor for class deepboof.tensors.Tensor_S64

Tensor_U8 - Class in deepboof.tensors

Tensor_U8(int...) - Constructor for class deepboof.tensors.Tensor_U8

Tensor_U8() - Constructor for class deepboof.tensors.Tensor_U8

TensorFactory<T extends Tensor> - Class in deepboof.misc

TensorFactory(Class) - Constructor for class deepboof.misc.TensorFactory

TensorFactory_F32 - Class in deepboof.misc

Various functions for unit tests

TensorFactory_F32() - Constructor for class deepboof.misc.TensorFactory_F32

TensorFactory_F64 - Class in deepboof.misc

Various functions for unit tests

TensorFactory_F64() - Constructor for class deepboof.misc.TensorFactory_F64

tensorLength(int...) - Static method in class deepboof.misc.TensorOps

Returns the total length of one tensor

TensorMerger<T extends Tensor<T>> - Interface in deepboof.graph

Merged multiple input tensors into a single output which can be processed by a Function.

TensorOps - Class in deepboof.misc

TensorOps() - Constructor for class deepboof.misc.TensorOps

TensorOps_F32 - Class in deepboof.misc

TensorOps_F32() - Constructor for class deepboof.misc.TensorOps_F32

TensorOps_F64 - Class in deepboof.misc

TensorOps_F64() - Constructor for class deepboof.misc.TensorOps_F64

TEST_TOL_A_F32 - Static variable in class deepboof.DeepBoofConstants

TEST_TOL_A_F64 - Static variable in class deepboof.DeepBoofConstants

TEST_TOL_B_F32 - Static variable in class deepboof.DeepBoofConstants

TEST_TOL_B_F64 - Static variable in class deepboof.DeepBoofConstants

TEST_TOL_F32 - Static variable in class deepboof.DeepBoofConstants

Standard tolerance for unit tests in F32

TEST_TOL_F64 - Static variable in class deepboof.DeepBoofConstants

Standard tolerance for unit tests in F64

TH(int[]) - Static method in class deepboof.misc.TensorOps

Truncates the head (element 0) from the array

toStringShape(int[]) - Static method in class deepboof.misc.TensorOps

toStringShapeA(int[]) - Static method in class deepboof.misc.TensorOps

type - Variable in class deepboof.forward.ConfigPadding

Type of padding added to input images

V

valueOf(String) - Static method in enum deepboof.PaddingType

Returns the enum constant of this type with the specified name.

values() - Static method in enum deepboof.PaddingType

Returns an array containing the constants of this enum type, in the order they are declared.

VTensor - Interface in deepboof

A virtual tensor doesn't physically store in memory the entire tensor, instead it uses an equation to generate on the fly some or all of a tensor.

VTensor_F32 - Interface in deepboof.tensors

Virtual tensor for 64bit float types.

VTensor_F64 - Interface in deepboof.tensors

Virtual tensor for 64bit float types.

W

W - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

weights - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

weights - Variable in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

WI(int...) - Static method in class deepboof.misc.TensorOps

Convenience function for making it easy to create an array of ints

WI(int, int[]) - Static method in class deepboof.misc.TensorOps

Convenience function for making it easy to create an array of ints

WI(int[], int) - Static method in class deepboof.misc.TensorOps

Convenience function for making it easy to create an array of ints

WI(int, List<int[]>) - Static method in class deepboof.misc.TensorOps

Wo - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

Wp - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

wrap(byte[], int...) - Static method in class deepboof.tensors.Tensor_U8

WT(T...) - Static method in class deepboof.misc.TensorOps

Convenience function for wrapping passed in elements into a list

WW - Variable in class deepboof.forward.ConfigSpatial

Window width

WW - Variable in class deepboof.impl.forward.standard.BaseSpatialWindow

X

x0 - Variable in class deepboof.forward.ConfigPadding

Padding added to lower extent along x and y axis.

x1 - Variable in class deepboof.forward.ConfigPadding

Padding added to upper extent along x and y axis.

Y

y0 - Variable in class deepboof.forward.ConfigPadding

Padding added to lower extent along x and y axis.

y1 - Variable in class deepboof.forward.ConfigPadding

Padding added to upper extent along x and y axis.

Z

zero() - Method in class deepboof.Tensor

Sets all elements in the tensor to the value of zero

zero() - Method in class deepboof.tensors.Tensor_F32

zero() - Method in class deepboof.tensors.Tensor_F64

zero() - Method in class deepboof.tensors.Tensor_S32

zero() - Method in class deepboof.tensors.Tensor_S64

zero() - Method in class deepboof.tensors.Tensor_U8

zeros(Random, int...) - Static method in class deepboof.misc.TensorFactory_F32

Generate a zeros tensor with the option for a sub-tensor

zeros(Random, int...) - Static method in class deepboof.misc.TensorFactory_F64

Generate a zeros tensor with the option for a sub-tensor

_

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.ActivationReLU_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.ActivationReLU_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.ActivationSigmoid_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.ActivationTanH_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.ActivationTanH_F64

_forward(T, T) - Method in class deepboof.impl.forward.standard.BaseFunction

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.FunctionElementWiseMult_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.FunctionLinear_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.FunctionLinear_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

_forward(Tensor_F32, Tensor_F32) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

_forward(Tensor_F64, Tensor_F64) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

_initialize() - Method in class deepboof.impl.forward.standard.BaseFunction

_initialize() - Method in class deepboof.impl.forward.standard.BaseSpatialWindow

_initialize() - Method in class deepboof.impl.forward.standard.ElementWiseFunction

_initialize() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

_initialize() - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

_initialize() - Method in class deepboof.impl.forward.standard.FunctionLinear_F32

_initialize() - Method in class deepboof.impl.forward.standard.FunctionLinear_F64

_initialize() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

_initialize() - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

_initialize() - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F32

_initialize() - Method in class deepboof.impl.forward.standard.SpatialBatchNorm_F64

_initialize() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

_initialize() - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

_initialize() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

_initialize() - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

_relu_forwards(Tensor_F32, Tensor_F32) - Static method in class deepboof.impl.forward.standard.ActivationReLU_F32

_relu_forwards(Tensor_F64, Tensor_F64) - Static method in class deepboof.impl.forward.standard.ActivationReLU_F64

_setParameters(List<T>) - Method in class deepboof.impl.forward.standard.BaseFunction

_setParameters(List<T>) - Method in class deepboof.impl.forward.standard.ElementWiseFunction

_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F32

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.FunctionBatchNorm_F64

_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.FunctionLinear_F32

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.FunctionLinear_F64

_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F32

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.SpatialAveragePooling_F64

_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F32

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.SpatialConvolve2D_F64

_setParameters(List<Tensor_F32>) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F32

_setParameters(List<Tensor_F64>) - Method in class deepboof.impl.forward.standard.SpatialMaxPooling_F64

A B C D E F G H I L M N O P R S T V W X Y Z _