Weight

Instance Constructors

new Weight(value: INDArray)

Type Members

type Data = INDArray

Definition Classes
INDArraySemigroupBatch → Batch
type Delta = INDArray

Definition Classes
INDArraySemigroupBatch → Batch
type Input = Batch

Definition Classes
Weight → Layer
type Output = Batch { ... /* 2 definitions in type refinement */ }

Definition Classes
Weight → Layer

Abstract Value Members

abstract def optimizer: Optimizer

Attributes
protected

Concrete Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

Definition Classes
AnyRef → Any
def +(other: String): String

Implicit information
This member is added by an implicit conversion from Weight to StringAdd performed by method any2stringadd in scala.Predef.
Definition Classes
StringAdd
def ->[B](y: B): (Weight, B)

Implicit information
This member is added by an implicit conversion from Weight to ArrowAssoc[Weight] performed by method any2ArrowAssoc in scala.Predef.
Definition Classes
ArrowAssoc
Annotations
@inline()
final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def ==(arg0: Any): Boolean

Definition Classes
Any
final def addReference(): Weight

Definition Classes
Weight → Batch
final def asInstanceOf[T0]: T0

Definition Classes
Any
final def backward(delta: ⇒ Delta): Unit

Definition Classes
Batch
Annotations
@inline()
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def close(): Unit

Definition Classes
Weight → AutoCloseable
def convn(weight: Aux[Input, Batch], bias: Aux[Input, Batch], kernel: (Int, Int), stride: (Int, Int), padding: (Int, Int)): Aux[Input, Batch]

calculate the convolution
calculate the convolution
weight
4 dimensions weight
bias
1 dimension bias
kernel
the kernel width and height
stride
the stride width and height
padding
the padding width and height
returns
convolution result

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def dot(right: Aux[Input, Batch]): Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def dynamicReshape(newShape: Aux[Input, Aux[Seq[Int], (Int, Float)]]): Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def ensuring(cond: (Weight) ⇒ Boolean, msg: ⇒ Any): Weight

Implicit information
This member is added by an implicit conversion from Weight to Ensuring[Weight] performed by method any2Ensuring in scala.Predef.
Definition Classes
Ensuring
def ensuring(cond: (Weight) ⇒ Boolean): Weight

Implicit information
This member is added by an implicit conversion from Weight to Ensuring[Weight] performed by method any2Ensuring in scala.Predef.
Definition Classes
Ensuring
def ensuring(cond: Boolean, msg: ⇒ Any): Weight

Implicit information
This member is added by an implicit conversion from Weight to Ensuring[Weight] performed by method any2Ensuring in scala.Predef.
Definition Classes
Ensuring
def ensuring(cond: Boolean): Weight

Implicit information
This member is added by an implicit conversion from Weight to Ensuring[Weight] performed by method any2Ensuring in scala.Predef.
Definition Classes
Ensuring
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def forceBackward(delta: Delta): Unit

Attributes
protected
Definition Classes
Weight → Batch
def formatted(fmtstr: String): String

Implicit information
This member is added by an implicit conversion from Weight to StringFormat performed by method any2stringfmt in scala.Predef.
Definition Classes
StringFormat
Annotations
@inline()
final def forward(any: Input): Weight

Definition Classes
Weight → Layer
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def im2col(kernel: Array[Int], stride: Array[Int], padding: Array[Int]): Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final val isTrainable: Boolean(true)

Definition Classes
Weight → Batch
def maxPool(dimensions: Int*): Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def mean: Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def permute(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

[use case]
[use case]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
Full Signature
def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]
def permute(newShape: Int*): Aux[Input, Batch]

[use case]
[use case]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
Full Signature
def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]
def reshape(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

[use case]
[use case]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
Full Signature
def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]
def reshape(newShape: Int*): Aux[Input, Batch]

[use case]
[use case]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
Full Signature
def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]
final def semigroup: Semigroup[Delta]

Attributes
protected
Definition Classes
INDArraySemigroupBatch
def shape: Aux[Input, Aux[Seq[Int], (Int, Float)]]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def sum(dimensions: Int*): Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def sum: Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
def unary_-: Aux[Input, Batch]

Implicit information
This member is added by an implicit conversion from Weight to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[Weight, Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
Definition Classes
INDArrayLayerOps
var value: INDArray

Definition Classes
Weight → Batch
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def →[B](y: B): (Weight, B)

Implicit information
This member is added by an implicit conversion from Weight to ArrowAssoc[Weight] performed by method any2ArrowAssoc in scala.Predef.
Definition Classes
ArrowAssoc

Shadowed Implicit Value Members

val self: Any
Implicit information
This member is added by an implicit conversion from Weight to StringAdd performed by method any2stringadd in scala.Predef.
Shadowing
This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
To access this member you can use a type ascription:
(weight: StringAdd).self
Definition Classes
StringAdd
val self: Any
Implicit information
This member is added by an implicit conversion from Weight to StringFormat performed by method any2stringfmt in scala.Predef.
Shadowing
This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
To access this member you can use a type ascription:
(weight: StringFormat).self
Definition Classes
StringFormat

Deprecated Value Members

def x: Weight
Implicit information
This member is added by an implicit conversion from Weight to ArrowAssoc[Weight] performed by method any2ArrowAssoc in scala.Predef.
Shadowing
This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
To access this member you can use a type ascription:
(weight: ArrowAssoc[Weight]).x
Definition Classes
ArrowAssoc
Annotations
@deprecated
Deprecated
(Since version 2.10.0) Use leftOfArrow instead
def x: Weight
Implicit information
This member is added by an implicit conversion from Weight to Ensuring[Weight] performed by method any2Ensuring in scala.Predef.
Shadowing
This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
To access this member you can use a type ascription:
(weight: Ensuring[Weight]).x
Definition Classes
Ensuring
Annotations
@deprecated
Deprecated
(Since version 2.10.0) Use resultOfEnsuring instead

Inherited from Serializable

abstract case class Weight(value: INDArray) extends Layer with INDArraySemigroupBatch with Product with Serializable

Instance Constructors

new Weight(value: INDArray)

Type Members

type Data = INDArray

type Delta = INDArray

type Input = Batch

type Output = Batch { ... /* 2 definitions in type refinement */ }

Abstract Value Members

abstract def optimizer: Optimizer

Concrete Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

def +(other: String): String

def ->[B](y: B): (Weight, B)

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def addReference(): Weight

final def asInstanceOf[T0]: T0

final def backward(delta: ⇒ Delta): Unit

def clone(): AnyRef

final def close(): Unit

def convn(weight: Aux[Input, Batch], bias: Aux[Input, Batch], kernel: (Int, Int), stride: (Int, Int), padding: (Int, Int)): Aux[Input, Batch]

def dot(right: Aux[Input, Batch]): Aux[Input, Batch]

def dynamicReshape(newShape: Aux[Input, Aux[Seq[Int], (Int, Float)]]): Aux[Input, Batch]

def ensuring(cond: (Weight) ⇒ Boolean, msg: ⇒ Any): Weight

def ensuring(cond: (Weight) ⇒ Boolean): Weight

def ensuring(cond: Boolean, msg: ⇒ Any): Weight

def ensuring(cond: Boolean): Weight

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def forceBackward(delta: Delta): Unit

def formatted(fmtstr: String): String

final def forward(any: Input): Weight

final def getClass(): Class[_]

def im2col(kernel: Array[Int], stride: Array[Int], padding: Array[Int]): Aux[Input, Batch]

final def isInstanceOf[T0]: Boolean

final val isTrainable: Boolean(true)

def maxPool(dimensions: Int*): Aux[Input, Batch]

def mean: Aux[Input, Batch]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def permute(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

def permute(newShape: Int*): Aux[Input, Batch]

def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

def reshape(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

def reshape(newShape: Int*): Aux[Input, Batch]

def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

final def semigroup: Semigroup[Delta]

def shape: Aux[Input, Aux[Seq[Int], (Int, Float)]]

def sum(dimensions: Int*): Aux[Input, Batch]

def sum: Aux[Input, Batch]

final def synchronized[T0](arg0: ⇒ T0): T0

def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

def unary_-: Aux[Input, Batch]

var value: INDArray

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

def →[B](y: B): (Weight, B)

Shadowed Implicit Value Members

val self: Any

val self: Any

Deprecated Value Members

def x: Weight

def x: Weight

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from INDArraySemigroupBatch

Inherited from Batch

Inherited from AutoCloseable

Inherited from Layer

Inherited from AnyRef