Shape (dfx)

Shape Module

Namespace: Dfx
Assembly: Dfx.Core.dll

Contains functions and values related to tensor shapes.

Functions and values

Function or value	Description
`broadcast2 shape1 shape2` Full Usage: `broadcast2 shape1 shape2` Parameters: shape1 : `Shape` shape2 : `Shape` Returns: `int array`	Finds the shape into which `shape1` and `shape2` can be expanded. shape1 : `Shape` shape2 : `Shape` Returns: `int array`
`broadcastShapes shapes` Full Usage: `broadcastShapes shapes` Parameters: shapes : `Shape[]` Returns: `Shape`	Finds the shape into which all the shapes can be expanded. shapes : `Shape[]` Returns: `Shape`
`canExpand oldShape newShape` Full Usage: `canExpand oldShape newShape` Parameters: oldShape : `Shape` newShape : `Shape` Returns: `bool`	Indicates if one shape can expand into another through the addition of broadcast dimensions. oldShape : `Shape` newShape : `Shape` Returns: `bool`
`checkCanAddSlice shape1 location shape2` Full Usage: `checkCanAddSlice shape1 location shape2` Parameters: shape1 : `Shape` location : `int[]` shape2 : `Shape`	Checks if the given shape is appropriate for an addSlice operation. shape1 : `Shape` location : `int[]` shape2 : `Shape`
`checkCanAvgpool1d dtype shape kernelSize stride padding` Full Usage: `checkCanAvgpool1d dtype shape kernelSize stride padding` Parameters: dtype : `Dtype` shape : `Shape` kernelSize : `int` stride : `int` padding : `int` Returns: `int * int * int * int * int[]`	Checks if the given shapes are appropriate for an avgpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` kernelSize : `int` stride : `int` padding : `int` Returns: `int * int * int * int * int[]`
`checkCanAvgpool2d dtype shape kernelSize strides paddings` Full Usage: `checkCanAvgpool2d dtype shape kernelSize strides paddings` Parameters: dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int) * (int * int) * (int * int) * int[]`	Checks if the given shapes are appropriate for an avgpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int) * (int * int) * (int * int) * int[]`
`checkCanAvgpool3d dtype shape kernelSize strides paddings` Full Usage: `checkCanAvgpool3d dtype shape kernelSize strides paddings` Parameters: dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int) * (int * int * int) * int[]`	Checks if the given shapes are appropriate for an avgpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int) * (int * int * int) * int[]`
`checkCanBMM shape1 shape2` Full Usage: `checkCanBMM shape1 shape2` Parameters: shape1 : `Shape` shape2 : `Shape` Returns: `int[]`	Checks if the given shapes are appropriate for a batched matrix multiplication operation. shape1 : `Shape` shape2 : `Shape` Returns: `int[]`
`checkCanCat shapes dim` Full Usage: `checkCanCat shapes dim` Parameters: shapes : `Shape[]` dim : `int` Returns: `int * int array * int * int array * int[]`	Checks if the given shapes are appropriate for a concatenation operation and returns information related to the resulting shape. shapes : `Shape[]` dim : `int` Returns: `int * int array * int * int array * int[]`
`checkCanConv1d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 stride padding dilation` Full Usage: `checkCanConv1d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 stride padding dilation` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` stride : `int` padding : `int` dilation : `int` Returns: `int * int * int * int * int * int[]`	Checks if the given shapes are appropriate for a convolution operation and returns information related to the resulting shape. deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` stride : `int` padding : `int` dilation : `int` Returns: `int * int * int * int * int * int[]`
`checkCanConv2d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations` Full Usage: `checkCanConv2d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` Returns: `int * int * (int * int) * (int * int * int) * int[]`	Checks if the given shapes are appropriate for a convolution operation and returns information related to the resulting shape. deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` Returns: `int * int * (int * int) * (int * int * int) * int[]`
`checkCanConv3d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations` Full Usage: `checkCanConv3d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` Returns: `int * int * (int * int * int) * (int * int * int * int) * int[]`	Checks if the given shapes are appropriate for a convolution operation and returns information related to the resulting shape. deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` Returns: `int * int * (int * int * int) * (int * int * int * int) * int[]`
`checkCanConvTranspose1d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 stride padding dilation outputPadding` Full Usage: `checkCanConvTranspose1d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 stride padding dilation outputPadding` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` stride : `int` padding : `int` dilation : `int` outputPadding : `int` Returns: `int * int * int * int * int * int[]`	Checks if the given shapes are appropriate for a transposed convolution operation and returns information related to the resulting shape. deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` stride : `int` padding : `int` dilation : `int` outputPadding : `int` Returns: `int * int * int * int * int * int[]`
`checkCanConvTranspose2d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations outputPaddings` Full Usage: `checkCanConvTranspose2d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations outputPaddings` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` outputPaddings : `int[]` Returns: `int * int * (int * int) * (int * int * int) * int[]`	Checks if the given shapes are appropriate for a transposed convolution operation and returns information related to the resulting shape. deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` outputPaddings : `int[]` Returns: `int * int * (int * int) * (int * int * int) * int[]`
`checkCanConvTranspose3d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations outputPaddings` Full Usage: `checkCanConvTranspose3d deviceType1 deviceType2 dtype1 dtype2 shape1 shape2 strides paddings dilations outputPaddings` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` outputPaddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int * int) * int[]`	Checks if the given shapes are appropriate for a transposed convolution operation and returns information related to the resulting shape. deviceType1 : `DeviceType` deviceType2 : `DeviceType` dtype1 : `Dtype` dtype2 : `Dtype` shape1 : `Shape` shape2 : `Shape` strides : `int[]` paddings : `int[]` dilations : `int[]` outputPaddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int * int) * int[]`
`checkCanDet shape` Full Usage: `checkCanDet shape` Parameters: shape : `Shape`	Checks if the given shape is appropriate for a determinant operation. shape : `Shape`
`checkCanDilate dim dilations` Full Usage: `checkCanDilate dim dilations` Parameters: dim : `int` dilations : `int[]`	Checks if the given shape is appropriate for a dilate operation. dim : `int` dilations : `int[]`
`checkCanDot shape1 shape2` Full Usage: `checkCanDot shape1 shape2` Parameters: shape1 : `Shape` shape2 : `Shape`	Checks if the given shape is appropriate for a dot product operation. shape1 : `Shape` shape2 : `Shape`
`checkCanDropout p` Full Usage: `checkCanDropout p` Parameters: p : `double`	Checks if the given shape is appropriate for a dropout operation. p : `double`
`checkCanDropout2d shape p` Full Usage: `checkCanDropout2d shape p` Parameters: shape : `Shape` p : `double`	Checks if the given shape is appropriate for a dropout2d operation. shape : `Shape` p : `double`
`checkCanDropout3d shape p` Full Usage: `checkCanDropout3d shape p` Parameters: shape : `Shape` p : `double`	Checks if the given shape is appropriate for a dropout3d operation. shape : `Shape` p : `double`
`checkCanExpand oldShape newShape` Full Usage: `checkCanExpand oldShape newShape` Parameters: oldShape : `Shape` newShape : `Shape`	Checks if one shape can expand into another through the addition of broadcast dimensions. oldShape : `Shape` newShape : `Shape`
`checkCanFlatten shape startDim endDim` Full Usage: `checkCanFlatten shape startDim endDim` Parameters: shape : `Shape` startDim : `int` endDim : `int`	Checks if the given shape is appropriate for a flatten operation. shape : `Shape` startDim : `int` endDim : `int`
`checkCanFlip dim dims` Full Usage: `checkCanFlip dim dims` Parameters: dim : `int` dims : `int[]`	Checks if the given shape is appropriate for a flip operation. dim : `int` dims : `int[]`
`checkCanGather shape dim indicesShape indicesDtype` Full Usage: `checkCanGather shape dim indicesShape indicesDtype` Parameters: shape : `Shape` dim : `int` indicesShape : `Shape` indicesDtype : `Dtype`	Checks if the given shape is appropriate for a gather operation. shape : `Shape` dim : `int` indicesShape : `Shape` indicesDtype : `Dtype`
`checkCanGetSlice shape fullBounds` Full Usage: `checkCanGetSlice shape fullBounds` Parameters: shape : `Shape` fullBounds : `int[,]` Returns: `int[]`	Checks if the given shapes are appropriate for a GetSlice operation and returns information related to the resulting shape. shape : `Shape` fullBounds : `int[,]` Returns: `int[]`
`checkCanIndex shape index` Full Usage: `checkCanIndex shape index` Parameters: shape : `int[]` index : `int[]`	Checks if the given index is valid in the context of the given shape. shape : `int[]` index : `int[]`
`checkCanInvert shape` Full Usage: `checkCanInvert shape` Parameters: shape : `Shape`	Checks if the given shape is appropriate for a transpose operation. shape : `Shape`
`checkCanMatmul shape1 shape2` Full Usage: `checkCanMatmul shape1 shape2` Parameters: shape1 : `Shape` shape2 : `Shape` Returns: `(int array * int array) * (int array * int array)`	Checks if the given shapes are appropriate for a matmul operation. shape1 : `Shape` shape2 : `Shape` Returns: `(int array * int array) * (int array * int array)`
`checkCanMaxOrAvgpool1d nm dtype shape kernelSize stride padding` Full Usage: `checkCanMaxOrAvgpool1d nm dtype shape kernelSize stride padding` Parameters: nm : `string` dtype : `Dtype` shape : `Shape` kernelSize : `int` stride : `int` padding : `int` Returns: `int * int * int * int * int[]`	Checks if the given shapes are appropriate for a maxpool operation and returns information related to the resulting shape. nm : `string` dtype : `Dtype` shape : `Shape` kernelSize : `int` stride : `int` padding : `int` Returns: `int * int * int * int * int[]`
`checkCanMaxOrAvgpool2d nm dtype shape kernelSize strides paddings` Full Usage: `checkCanMaxOrAvgpool2d nm dtype shape kernelSize strides paddings` Parameters: nm : `string` dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int) * (int * int) * (int * int) * int[]`	Checks if the given shapes are appropriate for a maxpool operation and returns information related to the resulting shape. nm : `string` dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int) * (int * int) * (int * int) * int[]`
`checkCanMaxOrAvgpool3d nm dtype shape kernelSize strides paddings` Full Usage: `checkCanMaxOrAvgpool3d nm dtype shape kernelSize strides paddings` Parameters: nm : `string` dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int) * (int * int * int) * int[]`	Checks if the given shapes are appropriate for a maxpool operation and returns information related to the resulting shape. nm : `string` dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int) * (int * int * int) * int[]`
`checkCanMaxpool1d dtype shape kernelSize stride padding` Full Usage: `checkCanMaxpool1d dtype shape kernelSize stride padding` Parameters: dtype : `Dtype` shape : `Shape` kernelSize : `int` stride : `int` padding : `int` Returns: `int * int * int * int * int[]`	Checks if the given shapes are appropriate for a maxpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` kernelSize : `int` stride : `int` padding : `int` Returns: `int * int * int * int * int[]`
`checkCanMaxpool2d dtype shape kernelSize strides paddings` Full Usage: `checkCanMaxpool2d dtype shape kernelSize strides paddings` Parameters: dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int) * (int * int) * (int * int) * int[]`	Checks if the given shapes are appropriate for a maxpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int) * (int * int) * (int * int) * int[]`
`checkCanMaxpool3d dtype shape kernelSize strides paddings` Full Usage: `checkCanMaxpool3d dtype shape kernelSize strides paddings` Parameters: dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int) * (int * int * int) * int[]`	Checks if the given shapes are appropriate for a maxpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` kernelSize : `int[]` strides : `int[]` paddings : `int[]` Returns: `int * int * (int * int * int) * (int * int * int) * (int * int * int) * int[]`
`checkCanMaxunpool1d dtype shape indicesDtype indicesShape outputSize` Full Usage: `checkCanMaxunpool1d dtype shape indicesDtype indicesShape outputSize` Parameters: dtype : `Dtype` shape : `Shape` indicesDtype : `Dtype` indicesShape : `Shape` outputSize : `int[]` Returns: `int * int * int * int[]`	Checks if the given shapes are appropriate for a maxunpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` indicesDtype : `Dtype` indicesShape : `Shape` outputSize : `int[]` Returns: `int * int * int * int[]`
`checkCanMaxunpool2d dtype shape indicesDtype indicesShape outputSize` Full Usage: `checkCanMaxunpool2d dtype shape indicesDtype indicesShape outputSize` Parameters: dtype : `Dtype` shape : `Shape` indicesDtype : `Dtype` indicesShape : `Shape` outputSize : `int[]` Returns: `int * int * (int * int) * int[]`	Checks if the given shapes are appropriate for a maxunpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` indicesDtype : `Dtype` indicesShape : `Shape` outputSize : `int[]` Returns: `int * int * (int * int) * int[]`
`checkCanMaxunpool3d dtype shape indicesDtype indicesShape outputSize` Full Usage: `checkCanMaxunpool3d dtype shape indicesDtype indicesShape outputSize` Parameters: dtype : `Dtype` shape : `Shape` indicesDtype : `Dtype` indicesShape : `Shape` outputSize : `int[]` Returns: `int * int * (int * int * int) * int[]`	Checks if the given shapes are appropriate for a maxunpool operation and returns information related to the resulting shape. dtype : `Dtype` shape : `Shape` indicesDtype : `Dtype` indicesShape : `Shape` outputSize : `int[]` Returns: `int * int * (int * int * int) * int[]`
`checkCanMinMaxReduce dim keepDim shape` Full Usage: `checkCanMinMaxReduce dim keepDim shape` Parameters: dim : `int` keepDim : `bool` shape : `Shape` Returns: `int[]`	dim : `int` keepDim : `bool` shape : `Shape` Returns: `int[]`
`checkCanPad shape paddings` Full Usage: `checkCanPad shape paddings` Parameters: shape : `Shape` paddings : `int[]`	Checks if the given shape is appropriate for a pad operation. shape : `Shape` paddings : `int[]`
`checkCanPermute shape permutation` Full Usage: `checkCanPermute shape permutation` Parameters: shape : `Shape` permutation : `int[]` Returns: `int array * int array`	Checks if the given shape is appropriate for a permute operation and returns information related to the resulting shape. shape : `Shape` permutation : `int[]` Returns: `int array * int array`
`checkCanRepeat shape dim` Full Usage: `checkCanRepeat shape dim` Parameters: shape : `Shape` dim : `int`	Checks if the given shape is appropriate for a repeat operation. shape : `Shape` dim : `int`
`checkCanScatter shape dim indicesShape indicesDtype destinationShape` Full Usage: `checkCanScatter shape dim indicesShape indicesDtype destinationShape` Parameters: shape : `Shape` dim : `int` indicesShape : `Shape` indicesDtype : `Dtype` destinationShape : `Shape`	Checks if the given shape is appropriate for a scatter operation. shape : `Shape` dim : `int` indicesShape : `Shape` indicesDtype : `Dtype` destinationShape : `Shape`
`checkCanSolve shapeA shapeB` Full Usage: `checkCanSolve shapeA shapeB` Parameters: shapeA : `Shape` shapeB : `Shape` Returns: `int[]`	Checks if the given shapes are appropriate for a linear solve operation, and returns the resulting shape of the solution shapeA : `Shape` shapeB : `Shape` Returns: `int[]`
`checkCanSplit shape sizes dim` Full Usage: `checkCanSplit shape sizes dim` Parameters: shape : `Shape` sizes : `int[]` dim : `int` Returns: `int[] array`	Checks if the given shapes are appropriate for a split operation and returns information related to the resulting shape. shape : `Shape` sizes : `int[]` dim : `int` Returns: `int[] array`
`checkCanStack shapes dim` Full Usage: `checkCanStack shapes dim` Parameters: shapes : `Shape[]` dim : `int` Returns: `int * int array * int array * int[]`	Checks if the given shapes are appropriate for a stack operation and returns information related to the resulting shape. shapes : `Shape[]` dim : `int` Returns: `int * int array * int array * int[]`
`checkCanTranspose shape dim0 dim1` Full Usage: `checkCanTranspose shape dim0 dim1` Parameters: shape : `Shape` dim0 : `int` dim1 : `int`	Checks if the given shape is appropriate for a transpose operation and returns information related to the resulting shape. shape : `Shape` dim0 : `int` dim1 : `int`
`checkCanTranspose2d dim` Full Usage: `checkCanTranspose2d dim` Parameters: dim : `int`	Checks if the given shape is appropriate for a transpose operation. dim : `int`
`checkCanUnsqueeze dim shape` Full Usage: `checkCanUnsqueeze dim shape` Parameters: dim : `int` shape : `Shape` Returns: `int[]`	Checks if the given shape is appropriate for an unsqueeze operation and returns the resulting shape. dim : `int` shape : `Shape` Returns: `int[]`
`checkCanUnstack shape dim` Full Usage: `checkCanUnstack shape dim` Parameters: shape : `Shape` dim : `int` Returns: `int array * int array * int array`	Checks if the given shapes are appropriate for an unstack operation and returns information related to the resulting shape. shape : `Shape` dim : `int` Returns: `int array * int array * int array`
`checkCanView shape1 shape2` Full Usage: `checkCanView shape1 shape2` Parameters: shape1 : `Shape` shape2 : `Shape`	Checks if the given shape is appropriate for a view operation. shape1 : `Shape` shape2 : `Shape`
`checkDeviceTypes deviceType1 deviceType2` Full Usage: `checkDeviceTypes deviceType1 deviceType2` Parameters: deviceType1 : `DeviceType` deviceType2 : `DeviceType`	Checks if the two device types are equal. deviceType1 : `DeviceType` deviceType2 : `DeviceType`
`checkDtypes dtype1 dtype2` Full Usage: `checkDtypes dtype1 dtype2` Parameters: dtype1 : `Dtype` dtype2 : `Dtype`	Checks if the two tensor element types are equal. dtype1 : `Dtype` dtype2 : `Dtype`
`complete nelement shape` Full Usage: `complete nelement shape` Parameters: nelement : `int` shape : `Shape` Returns: `Shape`	Completes the given shape with respect to a tensor with the given number of elements. nelement : `int` shape : `Shape` Returns: `Shape`
`completeDim dims dim` Full Usage: `completeDim dims dim` Parameters: dims : `int` dim : `int` Returns: `int`	Completes the given shape dimension with respect to a concrete dimension. dims : `int` dim : `int` Returns: `int`
`completeDimUnsqueeze dims dim` Full Usage: `completeDimUnsqueeze dims dim` Parameters: dims : `int` dim : `int` Returns: `int`	Completes the given shape dimension with respect to a concrete dimension, for the unsqueeze operation. dims : `int` dim : `int` Returns: `int`
`completeExpand shape newShape` Full Usage: `completeExpand shape newShape` Parameters: shape : `Shape` newShape : `Shape` Returns: `int array`	Completes the new shape for an expand operation based on the current shape of the tensor. shape : `Shape` newShape : `Shape` Returns: `int array`
`completeSliceBounds shape bounds` Full Usage: `completeSliceBounds shape bounds` Parameters: shape : `Shape` bounds : `int[,]` Returns: `int[,]`	shape : `Shape` bounds : `int[,]` Returns: `int[,]`
`computeTranspose2d shape` Full Usage: `computeTranspose2d shape` Parameters: shape : `Shape` Returns: `int[]`	Checks if the given shapes are appropriate for a transpose operation and returns information related to the resulting shape. shape : `Shape` Returns: `int[]`
`contains bigShape smallShape` Full Usage: `contains bigShape smallShape` Parameters: bigShape : `Shape` smallShape : `Shape` Returns: `bool`	Indicates if one shape contains another. bigShape : `Shape` smallShape : `Shape` Returns: `bool`
`create xs` Full Usage: `create xs` Parameters: xs : `int seq` Returns: `int[]` Modifiers: inline	xs : `int seq` Returns: `int[]`
`dilated shape dilations` Full Usage: `dilated shape dilations` Parameters: shape : `Shape` dilations : `int[]` Returns: `int array`	Computes the shape that results from a dilation operation. shape : `Shape` dilations : `int[]` Returns: `int array`
`flatten startDim endDim shape` Full Usage: `flatten startDim endDim shape` Parameters: startDim : `int` endDim : `int` shape : `Shape` Returns: `int[]`	Computes the shape that results from a flatten operation. startDim : `int` endDim : `int` shape : `Shape` Returns: `int[]`
`locationToBounds shape location` Full Usage: `locationToBounds shape location` Parameters: shape : `Shape` location : `int[]` Returns: `int[,]`	Converts the given location to a three-element bounds array in the context of the given shape. shape : `Shape` location : `int[]` Returns: `int[,]`
`nelement shape` Full Usage: `nelement shape` Parameters: shape : `Shape` Returns: `int`	Gets the total number of elements in the shape. shape : `Shape` Returns: `int`
`resolve2dConvOutputPadding outputPadding outputPaddings` Full Usage: `resolve2dConvOutputPadding outputPadding outputPaddings` Parameters: outputPadding : `int option` outputPaddings : `'a option` Returns: `int[]` Type parameters: 'a (requires :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	outputPadding : `int option` outputPaddings : `'a option` Returns: `int[]`
`resolve2dConvSizes stride strides padding paddings dilation dilations` Full Usage: `resolve2dConvSizes stride strides padding paddings dilation dilations` Parameters: stride : `int option` strides : `'a option` padding : `int option` paddings : `'b option` dilation : `int option` dilations : `'c option` Returns: `int[] * int[] * int[]` Type parameters: 'a, 'b, 'c (requires :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq and :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq and :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	stride : `int option` strides : `'a option` padding : `int option` paddings : `'b option` dilation : `int option` dilations : `'c option` Returns: `int[] * int[] * int[]`
`resolve2dKernelSizes kernelSize kernelSizes` Full Usage: `resolve2dKernelSizes kernelSize kernelSizes` Parameters: kernelSize : `int option` kernelSizes : `'a option` Returns: `int[]` Type parameters: 'a (requires :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	kernelSize : `int option` kernelSizes : `'a option` Returns: `int[]`
`resolve2dMaxPoolSizes kernelSize kernelSizes stride strides padding paddings` Full Usage: `resolve2dMaxPoolSizes kernelSize kernelSizes stride strides padding paddings` Parameters: kernelSize : `'a option` kernelSizes : `'b option` stride : `'a option` strides : `'c option` padding : `int option` paddings : `'d option` Returns: `'a[] * 'a[] * int[]` Type parameters: 'a, 'b, 'c, 'd (requires :> 'a Microsoft.FSharp.Collections.seq and :> 'a Microsoft.FSharp.Collections.seq and :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	kernelSize : `'a option` kernelSizes : `'b option` stride : `'a option` strides : `'c option` padding : `int option` paddings : `'d option` Returns: `'a[] * 'a[] * int[]`
`resolve3dConvOutputPadding outputPadding outputPaddings` Full Usage: `resolve3dConvOutputPadding outputPadding outputPaddings` Parameters: outputPadding : `int option` outputPaddings : `'a option` Returns: `int[]` Type parameters: 'a (requires :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	outputPadding : `int option` outputPaddings : `'a option` Returns: `int[]`
`resolve3dConvSizes stride strides padding paddings dilation dilations` Full Usage: `resolve3dConvSizes stride strides padding paddings dilation dilations` Parameters: stride : `int option` strides : `'a option` padding : `int option` paddings : `'b option` dilation : `int option` dilations : `'c option` Returns: `int[] * int[] * int[]` Type parameters: 'a, 'b, 'c (requires :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq and :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq and :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	stride : `int option` strides : `'a option` padding : `int option` paddings : `'b option` dilation : `int option` dilations : `'c option` Returns: `int[] * int[] * int[]`
`resolve3dKernelSizes kernelSize kernelSizes` Full Usage: `resolve3dKernelSizes kernelSize kernelSizes` Parameters: kernelSize : `int option` kernelSizes : `'a option` Returns: `int[]` Type parameters: 'a (requires :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	kernelSize : `int option` kernelSizes : `'a option` Returns: `int[]`
`resolve3dMaxPoolSizes kernelSize kernelSizes stride strides padding paddings` Full Usage: `resolve3dMaxPoolSizes kernelSize kernelSizes stride strides padding paddings` Parameters: kernelSize : `'a option` kernelSizes : `'b option` stride : `'a option` strides : `'c option` padding : `int option` paddings : `'d option` Returns: `'a[] * 'a[] * int[]` Type parameters: 'a, 'b, 'c, 'd (requires :> 'a Microsoft.FSharp.Collections.seq and :> 'a Microsoft.FSharp.Collections.seq and :> Microsoft.FSharp.Core.int Microsoft.FSharp.Collections.seq)	kernelSize : `'a option` kernelSizes : `'b option` stride : `'a option` strides : `'c option` padding : `int option` paddings : `'d option` Returns: `'a[] * 'a[] * int[]`
`scalar` Full Usage: `scalar` Returns: `Shape`	The shape for a scalar value. Returns: `Shape`
`squeeze dim shape` Full Usage: `squeeze dim shape` Parameters: dim : `int` shape : `Shape` Returns: `int[]`	Computes the shape that results from a squeeze operation. dim : `int` shape : `Shape` Returns: `int[]`
`undilatedShape shape dilations` Full Usage: `undilatedShape shape dilations` Parameters: shape : `Shape` dilations : `int[]` Returns: `int array`	Computes the shape that results from an undilation operation. shape : `Shape` dilations : `int[]` Returns: `int array`
`unsqueezeAs shape1 shape2` Full Usage: `unsqueezeAs shape1 shape2` Parameters: shape1 : `Shape` shape2 : `Shape` Returns: `int array`	Computes the shape that results from an unsqueezeAs operation. shape1 : `Shape` shape2 : `Shape` Returns: `int array`