Compose Module

Namespace: Furnace
Assembly: Furnace.Core.dll

Type extensions

Type extension Description

FurnaceImage.add b

Full Usage: FurnaceImage.add b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.arangeLike (endVal, ?startVal, ?step, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.arangeLike (endVal, ?startVal, ?step, ?device, ?dtype, ?backend)

Parameters:
    endVal : float
    ?startVal : float
    ?step : float
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

endVal : float
?startVal : float
?step : float
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.arangeLike (endVal, ?startVal, ?step, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.arangeLike (endVal, ?startVal, ?step, ?device, ?dtype, ?backend)

Parameters:
    endVal : int
    ?startVal : int
    ?step : int
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

endVal : int
?startVal : int
?step : int
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.bceLoss target

Full Usage: FurnaceImage.bceLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

target : Tensor
Returns: Tensor -> Tensor

FurnaceImage.bernoulli (?device, ?dtype, ?backend)

Full Usage: FurnaceImage.bernoulli (?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.cast dtype

Full Usage: FurnaceImage.cast dtype

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dtype : Dtype
Returns: Tensor -> Tensor

FurnaceImage.cat dim

Full Usage: FurnaceImage.cat dim

Parameters:
    dim : int

Returns: Tensor seq -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
Returns: Tensor seq -> Tensor

FurnaceImage.clamp (?low, ?high)

Full Usage: FurnaceImage.clamp (?low, ?high)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?low : scalar
?high : scalar
Returns: Tensor -> Tensor

FurnaceImage.conv1d (b, ?stride, ?padding, ?dilation)

Full Usage: FurnaceImage.conv1d (b, ?stride, ?padding, ?dilation)

Parameters:
    b : Tensor
    ?stride : int
    ?padding : int
    ?dilation : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
?stride : int
?padding : int
?dilation : int
Returns: Tensor -> Tensor

FurnaceImage.conv2d (b, ?stride, ?strides, ?padding, ?paddings, ?dilation, ?dilations)

Full Usage: FurnaceImage.conv2d (b, ?stride, ?strides, ?padding, ?paddings, ?dilation, ?dilations)

Parameters:
    b : Tensor
    ?stride : int
    ?strides : int seq
    ?padding : int
    ?paddings : int seq
    ?dilation : int
    ?dilations : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
?stride : int
?strides : int seq
?padding : int
?paddings : int seq
?dilation : int
?dilations : int seq
Returns: Tensor -> Tensor

FurnaceImage.conv3d (b, ?stride, ?strides, ?padding, ?paddings, ?dilation, ?dilations)

Full Usage: FurnaceImage.conv3d (b, ?stride, ?strides, ?padding, ?paddings, ?dilation, ?dilations)

Parameters:
    b : Tensor
    ?stride : int
    ?strides : int seq
    ?padding : int
    ?paddings : int seq
    ?dilation : int
    ?dilations : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
?stride : int
?strides : int seq
?padding : int
?paddings : int seq
?dilation : int
?dilations : int seq
Returns: Tensor -> Tensor

FurnaceImage.convTranspose1d (b, ?stride, ?padding, ?dilation, ?outputPadding)

Full Usage: FurnaceImage.convTranspose1d (b, ?stride, ?padding, ?dilation, ?outputPadding)

Parameters:
    b : Tensor
    ?stride : int
    ?padding : int
    ?dilation : int
    ?outputPadding : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
?stride : int
?padding : int
?dilation : int
?outputPadding : int
Returns: Tensor -> Tensor

FurnaceImage.convTranspose2d (b, ?stride, ?padding, ?dilation, ?outputPadding, ?strides, ?paddings, ?dilations, ?outputPaddings)

Full Usage: FurnaceImage.convTranspose2d (b, ?stride, ?padding, ?dilation, ?outputPadding, ?strides, ?paddings, ?dilations, ?outputPaddings)

Parameters:
    b : Tensor
    ?stride : int
    ?padding : int
    ?dilation : int
    ?outputPadding : int
    ?strides : int seq
    ?paddings : int seq
    ?dilations : int seq
    ?outputPaddings : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
?stride : int
?padding : int
?dilation : int
?outputPadding : int
?strides : int seq
?paddings : int seq
?dilations : int seq
?outputPaddings : int seq
Returns: Tensor -> Tensor

FurnaceImage.convTranspose3d (b, ?stride, ?padding, ?dilation, ?outputPadding, ?strides, ?paddings, ?dilations, ?outputPaddings)

Full Usage: FurnaceImage.convTranspose3d (b, ?stride, ?padding, ?dilation, ?outputPadding, ?strides, ?paddings, ?dilations, ?outputPaddings)

Parameters:
    b : Tensor
    ?stride : int
    ?padding : int
    ?dilation : int
    ?outputPadding : int
    ?strides : int seq
    ?paddings : int seq
    ?dilations : int seq
    ?outputPaddings : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
?stride : int
?padding : int
?dilation : int
?outputPadding : int
?strides : int seq
?paddings : int seq
?dilations : int seq
?outputPaddings : int seq
Returns: Tensor -> Tensor

FurnaceImage.corrcoef ()

Full Usage: FurnaceImage.corrcoef ()

Parameters:
    () : unit

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

() : unit
Returns: Tensor -> Tensor

FurnaceImage.cov (?correction, ?fweights, ?aweights)

Full Usage: FurnaceImage.cov (?correction, ?fweights, ?aweights)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?correction : int64
?fweights : Tensor
?aweights : Tensor
Returns: Tensor -> Tensor

FurnaceImage.crossEntropyLoss target

Full Usage: FurnaceImage.crossEntropyLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

target : Tensor
Returns: Tensor -> Tensor

FurnaceImage.diagonal (offset, ?dim1, ?dim2)

Full Usage: FurnaceImage.diagonal (offset, ?dim1, ?dim2)

Parameters:
    offset : int
    ?dim1 : int
    ?dim2 : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

offset : int
?dim1 : int
?dim2 : int
Returns: Tensor -> Tensor

FurnaceImage.dilate dilations

Full Usage: FurnaceImage.dilate dilations

Parameters:
    dilations : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dilations : int seq
Returns: Tensor -> Tensor

FurnaceImage.div b

Full Usage: FurnaceImage.div b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.dot b

Full Usage: FurnaceImage.dot b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.dropout ?p

Full Usage: FurnaceImage.dropout ?p

Parameters:
    ?p : double

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?p : double
Returns: Tensor -> Tensor

FurnaceImage.dropout2d ?p

Full Usage: FurnaceImage.dropout2d ?p

Parameters:
    ?p : double

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?p : double
Returns: Tensor -> Tensor

FurnaceImage.dropout3d ?p

Full Usage: FurnaceImage.dropout3d ?p

Parameters:
    ?p : double

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?p : double
Returns: Tensor -> Tensor

FurnaceImage.eq b

Full Usage: FurnaceImage.eq b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.expand shape

Full Usage: FurnaceImage.expand shape

Parameters:
    shape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int seq
Returns: Tensor -> Tensor

FurnaceImage.expandAs b

Full Usage: FurnaceImage.expandAs b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.flatten (startDim, ?endDim)

Full Usage: FurnaceImage.flatten (startDim, ?endDim)

Parameters:
    startDim : int
    ?endDim : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

startDim : int
?endDim : int
Returns: Tensor -> Tensor

FurnaceImage.flip dims

Full Usage: FurnaceImage.flip dims

Parameters:
    dims : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dims : int seq
Returns: Tensor -> Tensor

FurnaceImage.fullLike (value, ?shape, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.fullLike (value, ?shape, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

value : scalar
?shape : int seq
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.gather (dim, indices)

Full Usage: FurnaceImage.gather (dim, indices)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
indices : Tensor
Returns: Tensor -> Tensor

FurnaceImage.ge b

Full Usage: FurnaceImage.ge b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.gt b

Full Usage: FurnaceImage.gt b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.le b

Full Usage: FurnaceImage.le b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.leakyRelu ?negativeSlope

Full Usage: FurnaceImage.leakyRelu ?negativeSlope

Parameters:
    ?negativeSlope : float

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?negativeSlope : float
Returns: Tensor -> Tensor

FurnaceImage.like (value, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.like (value, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

value : obj
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.linspaceLike (startVal, endVal, steps, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.linspaceLike (startVal, endVal, steps, ?device, ?dtype, ?backend)

Parameters:
    startVal : float
    endVal : float
    steps : int
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

startVal : float
endVal : float
steps : int
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.linspaceLike (startVal, endVal, steps, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.linspaceLike (startVal, endVal, steps, ?device, ?dtype, ?backend)

Parameters:
    startVal : int
    endVal : int
    steps : int
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

startVal : int
endVal : int
steps : int
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.logsoftmax dim

Full Usage: FurnaceImage.logsoftmax dim

Parameters:
    dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
Returns: Tensor -> Tensor

FurnaceImage.logspaceLike (startVal, endVal, steps, ?baseVal, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.logspaceLike (startVal, endVal, steps, ?baseVal, ?device, ?dtype, ?backend)

Parameters:
    startVal : float
    endVal : float
    steps : int
    ?baseVal : float
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

startVal : float
endVal : float
steps : int
?baseVal : float
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.logspaceLike (startVal, endVal, steps, ?baseVal, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.logspaceLike (startVal, endVal, steps, ?baseVal, ?device, ?dtype, ?backend)

Parameters:
    startVal : int
    endVal : int
    steps : int
    ?baseVal : int
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

startVal : int
endVal : int
steps : int
?baseVal : int
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.logsumexp (dim, ?keepDim)

Full Usage: FurnaceImage.logsumexp (dim, ?keepDim)

Parameters:
    dim : int
    ?keepDim : bool

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
?keepDim : bool
Returns: Tensor -> Tensor

FurnaceImage.lt b

Full Usage: FurnaceImage.lt b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.matmul b

Full Usage: FurnaceImage.matmul b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.maxpool1d (kernelSize, ?stride, ?padding)

Full Usage: FurnaceImage.maxpool1d (kernelSize, ?stride, ?padding)

Parameters:
    kernelSize : int
    ?stride : int
    ?padding : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

kernelSize : int
?stride : int
?padding : int
Returns: Tensor -> Tensor

FurnaceImage.maxpool2d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)

Full Usage: FurnaceImage.maxpool2d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)

Parameters:
    ?kernelSize : int
    ?stride : int
    ?padding : int
    ?kernelSizes : int seq
    ?strides : int seq
    ?paddings : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?kernelSize : int
?stride : int
?padding : int
?kernelSizes : int seq
?strides : int seq
?paddings : int seq
Returns: Tensor -> Tensor

FurnaceImage.maxpool3d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)

Full Usage: FurnaceImage.maxpool3d (?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings)

Parameters:
    ?kernelSize : int
    ?stride : int
    ?padding : int
    ?kernelSizes : int seq
    ?strides : int seq
    ?paddings : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?kernelSize : int
?stride : int
?padding : int
?kernelSizes : int seq
?strides : int seq
?paddings : int seq
Returns: Tensor -> Tensor

FurnaceImage.maxunpool1d (indices, kernelSize, ?stride, ?padding, ?outputSize)

Full Usage: FurnaceImage.maxunpool1d (indices, kernelSize, ?stride, ?padding, ?outputSize)

Parameters:
    indices : Tensor
    kernelSize : int
    ?stride : int
    ?padding : int
    ?outputSize : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

indices : Tensor
kernelSize : int
?stride : int
?padding : int
?outputSize : int seq
Returns: Tensor -> Tensor

FurnaceImage.maxunpool2d (indices, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings, ?outputSize)

Full Usage: FurnaceImage.maxunpool2d (indices, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings, ?outputSize)

Parameters:
    indices : Tensor
    ?kernelSize : int
    ?stride : int
    ?padding : int
    ?kernelSizes : int seq
    ?strides : int seq
    ?paddings : int seq
    ?outputSize : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

indices : Tensor
?kernelSize : int
?stride : int
?padding : int
?kernelSizes : int seq
?strides : int seq
?paddings : int seq
?outputSize : int seq
Returns: Tensor -> Tensor

FurnaceImage.maxunpool3d (indices, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings, ?outputSize)

Full Usage: FurnaceImage.maxunpool3d (indices, ?kernelSize, ?stride, ?padding, ?kernelSizes, ?strides, ?paddings, ?outputSize)

Parameters:
    indices : Tensor
    ?kernelSize : int
    ?stride : int
    ?padding : int
    ?kernelSizes : int seq
    ?strides : int seq
    ?paddings : int seq
    ?outputSize : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

indices : Tensor
?kernelSize : int
?stride : int
?padding : int
?kernelSizes : int seq
?strides : int seq
?paddings : int seq
?outputSize : int seq
Returns: Tensor -> Tensor

FurnaceImage.mean (dim, ?keepDim)

Full Usage: FurnaceImage.mean (dim, ?keepDim)

Parameters:
    dim : int
    ?keepDim : bool

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
?keepDim : bool
Returns: Tensor -> Tensor

FurnaceImage.move (?device, ?dtype, ?backend)

Full Usage: FurnaceImage.move (?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.mseLoss target

Full Usage: FurnaceImage.mseLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

target : Tensor
Returns: Tensor -> Tensor

FurnaceImage.mul b

Full Usage: FurnaceImage.mul b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.multinomial (numSamples, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.multinomial (numSamples, ?device, ?dtype, ?backend)

Parameters:
    numSamples : int - Number of samples to draw
    ?device : Device - The desired device of returned tensor. Default: if None, uses Device.Default.
    ?dtype : Dtype - The desired element type of returned tensor. Default: if None, uses Dtype.Default.
    ?backend : Backend - The desired backend of returned tensor. Default: if None, uses Backend.Default.

Returns: Tensor -> Tensor

TBDReturns a tensor where each row contains numSamples indices sampled from the multinomial probability distribution located in the corresponding row of tensor input.

Indices are ordered from left to right according to when each was sampled (first samples are placed in first column). If input is a vector, out is a vector of size num_samples. If input is a matrix with m rows, the result is an matrix of shape (m × numSamples)

Extended Type: FurnaceImage

numSamples : int

Number of samples to draw

?device : Device

The desired device of returned tensor. Default: if None, uses Device.Default.

?dtype : Dtype

The desired element type of returned tensor. Default: if None, uses Dtype.Default.

?backend : Backend

The desired backend of returned tensor. Default: if None, uses Backend.Default.

Returns: Tensor -> Tensor

FurnaceImage.nllLoss target

Full Usage: FurnaceImage.nllLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

target : Tensor
Returns: Tensor -> Tensor

FurnaceImage.onehotLike (length, hot, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.onehotLike (length, hot, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

length : int
hot : int
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.onesLike (shape, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.onesLike (shape, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int seq
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.pad paddings

Full Usage: FurnaceImage.pad paddings

Parameters:
    paddings : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

paddings : int seq
Returns: Tensor -> Tensor

FurnaceImage.pow b

Full Usage: FurnaceImage.pow b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.randLike (shape, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.randLike (shape, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int seq
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.randintLike (low, high, ?shape, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.randintLike (low, high, ?shape, ?device, ?dtype, ?backend)

Parameters:
    low : int
    high : int
    ?shape : int seq
    ?device : Device
    ?dtype : Dtype
    ?backend : Backend

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

low : int
high : int
?shape : int seq
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.randnLike (shape, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.randnLike (shape, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int seq
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

FurnaceImage.repeat (dim, times)

Full Usage: FurnaceImage.repeat (dim, times)

Parameters:
    dim : int
    times : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
times : int
Returns: Tensor -> Tensor

FurnaceImage.scatter (dim, indices, destinationShape)

Full Usage: FurnaceImage.scatter (dim, indices, destinationShape)

Parameters:
    dim : int
    indices : Tensor
    destinationShape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
indices : Tensor
destinationShape : int seq
Returns: Tensor -> Tensor

FurnaceImage.slice index

Full Usage: FurnaceImage.slice index

Parameters:
    index : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

index : int seq
Returns: Tensor -> Tensor

FurnaceImage.softmax dim

Full Usage: FurnaceImage.softmax dim

Parameters:
    dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
Returns: Tensor -> Tensor

FurnaceImage.split (sizes, ?dim)

Full Usage: FurnaceImage.split (sizes, ?dim)

Parameters:
    sizes : int seq
    ?dim : int

Returns: Tensor -> Tensor[]

TBD

Extended Type: FurnaceImage

sizes : int seq
?dim : int
Returns: Tensor -> Tensor[]

FurnaceImage.squeeze ?dim

Full Usage: FurnaceImage.squeeze ?dim

Parameters:
    ?dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?dim : int
Returns: Tensor -> Tensor

FurnaceImage.stack dim

Full Usage: FurnaceImage.stack dim

Parameters:
    dim : int

Returns: Tensor seq -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
Returns: Tensor seq -> Tensor

FurnaceImage.std (dim, ?keepDim, ?unbiased)

Full Usage: FurnaceImage.std (dim, ?keepDim, ?unbiased)

Parameters:
    dim : int
    ?keepDim : bool
    ?unbiased : bool

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
?keepDim : bool
?unbiased : bool
Returns: Tensor -> Tensor

FurnaceImage.sub b

Full Usage: FurnaceImage.sub b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.sum (dim, ?keepDim)

Full Usage: FurnaceImage.sum (dim, ?keepDim)

Parameters:
    dim : int
    ?keepDim : bool

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
?keepDim : bool
Returns: Tensor -> Tensor

FurnaceImage.tensor (?device, ?dtype, ?backend)

Full Usage: FurnaceImage.tensor (?device, ?dtype, ?backend)

Parameters:
Returns: 'a -> Tensor
Modifiers: inline
Type parameters: 'a

TBD

Extended Type: FurnaceImage

?device : Device
?dtype : Dtype
?backend : Backend
Returns: 'a -> Tensor

FurnaceImage.toImage (?pixelMin, ?pixelMax, ?normalize, ?gridCols)

Full Usage: FurnaceImage.toImage (?pixelMin, ?pixelMax, ?normalize, ?gridCols)

Parameters:
    ?pixelMin : double
    ?pixelMax : double
    ?normalize : bool
    ?gridCols : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

?pixelMin : double
?pixelMax : double
?normalize : bool
?gridCols : int
Returns: Tensor -> Tensor

FurnaceImage.toImageString (?pixelMin, ?pixelMax, ?normalize, ?gridCols, ?asciiPalette)

Full Usage: FurnaceImage.toImageString (?pixelMin, ?pixelMax, ?normalize, ?gridCols, ?asciiPalette)

Parameters:
    ?pixelMin : double
    ?pixelMax : double
    ?normalize : bool
    ?gridCols : int
    ?asciiPalette : string

Returns: Tensor -> string

TBD

Extended Type: FurnaceImage

?pixelMin : double
?pixelMax : double
?normalize : bool
?gridCols : int
?asciiPalette : string
Returns: Tensor -> string

FurnaceImage.transpose (dim0, dim1)

Full Usage: FurnaceImage.transpose (dim0, dim1)

Parameters:
    dim0 : int
    dim1 : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim0 : int
dim1 : int
Returns: Tensor -> Tensor

FurnaceImage.undilate dilations

Full Usage: FurnaceImage.undilate dilations

Parameters:
    dilations : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dilations : int seq
Returns: Tensor -> Tensor

FurnaceImage.unflatten (dim, unflattenedShape)

Full Usage: FurnaceImage.unflatten (dim, unflattenedShape)

Parameters:
    dim : int
    unflattenedShape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
unflattenedShape : int seq
Returns: Tensor -> Tensor

FurnaceImage.unsqueeze dim

Full Usage: FurnaceImage.unsqueeze dim

Parameters:
    dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
Returns: Tensor -> Tensor

FurnaceImage.unsqueezeAs other

Full Usage: FurnaceImage.unsqueezeAs other

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

other : Tensor
Returns: Tensor -> Tensor

FurnaceImage.unstack dim

Full Usage: FurnaceImage.unstack dim

Parameters:
    dim : int

Returns: Tensor -> Tensor[]

TBD

Extended Type: FurnaceImage

dim : int
Returns: Tensor -> Tensor[]

FurnaceImage.var (dim, ?keepDim, ?unbiased)

Full Usage: FurnaceImage.var (dim, ?keepDim, ?unbiased)

Parameters:
    dim : int
    ?keepDim : bool
    ?unbiased : bool

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

dim : int
?keepDim : bool
?unbiased : bool
Returns: Tensor -> Tensor

FurnaceImage.view shape

Full Usage: FurnaceImage.view shape

Parameters:
    shape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int seq
Returns: Tensor -> Tensor

FurnaceImage.view shape

Full Usage: FurnaceImage.view shape

Parameters:
    shape : int

Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int
Returns: Tensor -> Tensor

FurnaceImage.viewAs b

Full Usage: FurnaceImage.viewAs b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

b : Tensor
Returns: Tensor -> Tensor

FurnaceImage.zerosLike (shape, ?device, ?dtype, ?backend)

Full Usage: FurnaceImage.zerosLike (shape, ?device, ?dtype, ?backend)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: FurnaceImage

shape : int seq
?device : Device
?dtype : Dtype
?backend : Backend
Returns: Tensor -> Tensor

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