Compose Module

Namespace: Dfx
Assembly: Dfx.Core.dll

Type extensions

Type extension Description

dfx.add b

Full Usage: dfx.add b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

dfx.bceLoss target

Full Usage: dfx.bceLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

target : Tensor
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.cast dtype

Full Usage: dfx.cast dtype

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dtype : Dtype
Returns: Tensor -> Tensor

dfx.cat dim

Full Usage: dfx.cat dim

Parameters:
    dim : int

Returns: Tensor seq -> Tensor

TBD

Extended Type: dfx

dim : int
Returns: Tensor seq -> Tensor

dfx.clamp (?low, ?high)

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

dfx.corrcoef ()

Full Usage: dfx.corrcoef ()

Parameters:
    () : unit

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

() : unit
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.crossEntropyLoss target

Full Usage: dfx.crossEntropyLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

target : Tensor
Returns: Tensor -> Tensor

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.dilate dilations

Full Usage: dfx.dilate dilations

Parameters:
    dilations : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dilations : int seq
Returns: Tensor -> Tensor

dfx.div b

Full Usage: dfx.div b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.dot b

Full Usage: dfx.dot b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.dropout ?p

Full Usage: dfx.dropout ?p

Parameters:
    ?p : double

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

?p : double
Returns: Tensor -> Tensor

dfx.dropout2d ?p

Full Usage: dfx.dropout2d ?p

Parameters:
    ?p : double

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

?p : double
Returns: Tensor -> Tensor

dfx.dropout3d ?p

Full Usage: dfx.dropout3d ?p

Parameters:
    ?p : double

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

?p : double
Returns: Tensor -> Tensor

dfx.eq b

Full Usage: dfx.eq b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.expand shape

Full Usage: dfx.expand shape

Parameters:
    shape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

shape : int seq
Returns: Tensor -> Tensor

dfx.expandAs b

Full Usage: dfx.expandAs b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.flatten (startDim, ?endDim)

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

Parameters:
    startDim : int
    ?endDim : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.flip dims

Full Usage: dfx.flip dims

Parameters:
    dims : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dims : int seq
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.gather (dim, indices)

Full Usage: dfx.gather (dim, indices)

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.ge b

Full Usage: dfx.ge b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.gt b

Full Usage: dfx.gt b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.le b

Full Usage: dfx.le b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.leakyRelu ?negativeSlope

Full Usage: dfx.leakyRelu ?negativeSlope

Parameters:
    ?negativeSlope : float

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

?negativeSlope : float
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

dfx.logsoftmax dim

Full Usage: dfx.logsoftmax dim

Parameters:
    dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dim : int
Returns: Tensor -> Tensor

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

dfx.logsumexp (dim, ?keepDim)

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

Parameters:
    dim : int
    ?keepDim : bool

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.lt b

Full Usage: dfx.lt b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.matmul b

Full Usage: dfx.matmul b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

Full Usage: dfx.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: dfx

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

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

Full Usage: dfx.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: dfx

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

dfx.mean (dim, ?keepDim)

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

Parameters:
    dim : int
    ?keepDim : bool

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.mseLoss target

Full Usage: dfx.mseLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

target : Tensor
Returns: Tensor -> Tensor

dfx.mul b

Full Usage: dfx.mul b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

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

Full Usage: dfx.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: dfx

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

dfx.nllLoss target

Full Usage: dfx.nllLoss target

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

target : Tensor
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.pad paddings

Full Usage: dfx.pad paddings

Parameters:
    paddings : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

paddings : int seq
Returns: Tensor -> Tensor

dfx.pow b

Full Usage: dfx.pow b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

Full Usage: dfx.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: dfx

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

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.repeat (dim, times)

Full Usage: dfx.repeat (dim, times)

Parameters:
    dim : int
    times : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.scatter (dim, indices, destinationShape)

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.slice index

Full Usage: dfx.slice index

Parameters:
    index : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

index : int seq
Returns: Tensor -> Tensor

dfx.softmax dim

Full Usage: dfx.softmax dim

Parameters:
    dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dim : int
Returns: Tensor -> Tensor

dfx.split (sizes, ?dim)

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

Parameters:
    sizes : int seq
    ?dim : int

Returns: Tensor -> Tensor array

TBD

Extended Type: dfx

sizes : int seq
?dim : int
Returns: Tensor -> Tensor array

dfx.squeeze ?dim

Full Usage: dfx.squeeze ?dim

Parameters:
    ?dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

?dim : int
Returns: Tensor -> Tensor

dfx.stack dim

Full Usage: dfx.stack dim

Parameters:
    dim : int

Returns: Tensor seq -> Tensor

TBD

Extended Type: dfx

dim : int
Returns: Tensor seq -> Tensor

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.sub b

Full Usage: dfx.sub b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

dfx.sum (dim, ?keepDim)

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

Parameters:
    dim : int
    ?keepDim : bool

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

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

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

TBD

Extended Type: dfx

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

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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

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

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

Returns: Tensor -> string

TBD

Extended Type: dfx

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

dfx.transpose (dim0, dim1)

Full Usage: dfx.transpose (dim0, dim1)

Parameters:
    dim0 : int
    dim1 : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.undilate dilations

Full Usage: dfx.undilate dilations

Parameters:
    dilations : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dilations : int seq
Returns: Tensor -> Tensor

dfx.unflatten (dim, unflattenedShape)

Full Usage: dfx.unflatten (dim, unflattenedShape)

Parameters:
    dim : int
    unflattenedShape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.unsqueeze dim

Full Usage: dfx.unsqueeze dim

Parameters:
    dim : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

dim : int
Returns: Tensor -> Tensor

dfx.unsqueezeAs other

Full Usage: dfx.unsqueezeAs other

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

other : Tensor
Returns: Tensor -> Tensor

dfx.unstack dim

Full Usage: dfx.unstack dim

Parameters:
    dim : int

Returns: Tensor -> Tensor array

TBD

Extended Type: dfx

dim : int
Returns: Tensor -> Tensor array

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

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

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

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

dfx.view shape

Full Usage: dfx.view shape

Parameters:
    shape : int seq

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

shape : int seq
Returns: Tensor -> Tensor

dfx.view shape

Full Usage: dfx.view shape

Parameters:
    shape : int

Returns: Tensor -> Tensor

TBD

Extended Type: dfx

shape : int
Returns: Tensor -> Tensor

dfx.viewAs b

Full Usage: dfx.viewAs b

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

b : Tensor
Returns: Tensor -> Tensor

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

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

Parameters:
Returns: Tensor -> Tensor

TBD

Extended Type: dfx

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

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