RawTensor (dfx)

RawTensor Type

Namespace: Dfx.Backends
Assembly: Dfx.Core.dll
Base Type: obj
All Interfaces: IComparable

Represents a raw (i.e. non-differentiable immutable) tensor implemented by a dfx backend.

Each backend will provide one of more .NET implementations of this type, which may in turn wrap handles to native implementations.

Constructors

Constructor	Description
`RawTensor()` Full Usage: `RawTensor()` Returns: `RawTensor`	Returns: `RawTensor`

Instance members

Instance member	Description
`this.AbsInPlace` Full Usage: `this.AbsInPlace` Modifiers: abstract	Modifies the tensor by the element-wise absolute value of the tensor
`this.AbsT` Full Usage: `this.AbsT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise absolute value of the tensor Returns: `RawTensor`
`this.AcosInPlace` Full Usage: `this.AcosInPlace` Modifiers: abstract	Modifies the tensor by the element-wise cos of the tensor
`this.AcosT` Full Usage: `this.AcosT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise cos of the tensor Returns: `RawTensor`
`this.AddInPlace` Full Usage: `this.AddInPlace` Parameters: arg0 : `RawTensor` ?alpha : `scalar` Modifiers: abstract	Modifies the tensor by the element-wise addition of the two tensors arg0 : `RawTensor` ?alpha : `scalar`
`this.AddScalarInPlace` Full Usage: `this.AddScalarInPlace` Parameters: b : `scalar` Modifiers: abstract	Modifies the tensor by the element-wise addition of two scalars b : `scalar`
`this.AddSliceInPlace` Full Usage: `this.AddSliceInPlace` Parameters: location : `int[]` t2 : `RawTensor` Modifiers: abstract	Adds a slice of t2 at the given location to the tensor location : `int[]` t2 : `RawTensor`
`this.AddTT` Full Usage: `this.AddTT` Parameters: arg0 : `RawTensor` ?alpha : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise addition of the two tensors arg0 : `RawTensor` ?alpha : `scalar` Returns: `RawTensor`
`this.AddTT0` Full Usage: `this.AddTT0` Parameters: b : `scalar` ?alpha : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise addition of a tensor and a scalar b : `scalar` ?alpha : `scalar` Returns: `RawTensor`
`this.AddTTSlice` Full Usage: `this.AddTTSlice` Parameters: location : `int[]` t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Adds a slice of t2 at the given location to the tensor location : `int[]` t2 : `RawTensor` Returns: `RawTensor`
`this.AllClose` Full Usage: `this.AllClose` Parameters: t2 : `RawTensor` relativeTolerance : `float` absoluteTolerance : `float` Returns: `bool` Modifiers: abstract	Indicates if the two tensors have the same shape and element type, and all corresponding values are equal up to the given tolerances. t2 : `RawTensor` relativeTolerance : `float` absoluteTolerance : `float` Returns: `bool`
`this.AsinInPlace` Full Usage: `this.AsinInPlace` Modifiers: abstract	Modifies the tensor by the element-wise asin of the tensor
`this.AsinT` Full Usage: `this.AsinT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise asin of the tensor Returns: `RawTensor`
`this.AtanInPlace` Full Usage: `this.AtanInPlace` Modifiers: abstract	Modifies the tensor by the element-wise atan of the tensor
`this.AtanT` Full Usage: `this.AtanT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise atan of the tensor Returns: `RawTensor`
`this.AvgPool1D` Full Usage: `this.AvgPool1D` Parameters: kernelSize : `int` stride : `int` padding : `int` Returns: `RawTensor` Modifiers: abstract	Returns the 1D avgpool of a tensor kernelSize : `int` stride : `int` padding : `int` Returns: `RawTensor`
`this.AvgPool2D` Full Usage: `this.AvgPool2D` Parameters: kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 2D avgpool of a tensor kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor`
`this.AvgPool3D` Full Usage: `this.AvgPool3D` Parameters: kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 2D avgpool of a tensor kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor`
`this.AvgPoolReverse1D` Full Usage: `this.AvgPoolReverse1D` Parameters: originalInput : `RawTensor` kernelSize : `int` stride : `int` padding : `int` Returns: `RawTensor` Modifiers: abstract	Returns the reverse mode of a 1D avgpool of a tensor, apportioning each part of the adjoint equally to each corresponding input The originalInput parameter is only used for shape information originalInput : `RawTensor` kernelSize : `int` stride : `int` padding : `int` Returns: `RawTensor`
`this.AvgPoolReverse2D` Full Usage: `this.AvgPoolReverse2D` Parameters: originalInput : `RawTensor` kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the reverse mode of a 2D avgpool of a tensor, apportioning each part of the adjoint equally to each corresponding input The originalInput parameter is only used for shape information originalInput : `RawTensor` kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor`
`this.AvgPoolReverse3D` Full Usage: `this.AvgPoolReverse3D` Parameters: originalInput : `RawTensor` kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the reverse mode of a 3D avgpool of a tensor, apportioning each part of the adjoint equally to each corresponding input The originalInput parameter is only used for shape information originalInput : `RawTensor` kernelSize : `int[]` stride : `int[]` padding : `int[]` Returns: `RawTensor`
`this.BMMTT` Full Usage: `this.BMMTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the batched matrix multiplication of two tensors t2 : `RawTensor` Returns: `RawTensor`
`this.Backend` Full Usage: `this.Backend` Returns: `Backend` Modifiers: abstract	Gets the backend for the tensor Returns: `Backend`
`this.Cast` Full Usage: `this.Cast` Parameters: dtype : `Dtype` Returns: `RawTensor` Modifiers: abstract	Returns a tensor where the elements have each been cast to the given tensor element storage type. dtype : `Dtype` Returns: `RawTensor`
`this.CatTs` Full Usage: `this.CatTs` Parameters: tensors : `RawTensor[]` dim : `int` Returns: `RawTensor` Modifiers: abstract	Concatenate the given tensors along the given dimension tensors : `RawTensor[]` dim : `int` Returns: `RawTensor`
`this.CeilInPlace` Full Usage: `this.CeilInPlace` Modifiers: abstract	Modifies the tensor by the element-wise integer ceiling of the tensor
`this.CeilT` Full Usage: `this.CeilT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise integer ceiling of the tensor Returns: `RawTensor`
`this.ClampInPlace` Full Usage: `this.ClampInPlace` Parameters: low : `RawTensor` high : `RawTensor` Modifiers: abstract	Modifies the tensor by with values constrained by the corresponding elements in the low/high tensors. low : `RawTensor` high : `RawTensor`
`this.ClampT` Full Usage: `this.ClampT` Parameters: low : `RawTensor` high : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a tensor with values constrained by the corresponding elements in the low/high tensors. low : `RawTensor` high : `RawTensor` Returns: `RawTensor`
`this.Clone` Full Usage: `this.Clone` Returns: `RawTensor` Modifiers: abstract	Clone the underlying storage of the tensor. Returns: `RawTensor`
`this.ComputeHash` Full Usage: `this.ComputeHash` Returns: `int` Modifiers: abstract	Returns a hash of the contents of the tensor. This operation may cause the tensor to be moved to the CPU, and its entire contents iterated. Returns: `int`
`this.Conv1D` Full Usage: `this.Conv1D` Parameters: kernel : `RawTensor` stride : `int` padding : `int` Returns: `RawTensor` Modifiers: abstract	Returns the 1D convolution of the tensor kernel : `RawTensor` stride : `int` padding : `int` Returns: `RawTensor`
`this.Conv2D` Full Usage: `this.Conv2D` Parameters: kernel : `RawTensor` strides : `int[]` padding : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 2D convolution of the tensor kernel : `RawTensor` strides : `int[]` padding : `int[]` Returns: `RawTensor`
`this.Conv3D` Full Usage: `this.Conv3D` Parameters: kernel : `RawTensor` strides : `int[]` padding : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 3D convolution of the tensor kernel : `RawTensor` strides : `int[]` padding : `int[]` Returns: `RawTensor`
`this.CosInPlace` Full Usage: `this.CosInPlace` Modifiers: abstract	Modifies the tensor by the element-wise cosine of the tensor
`this.CosT` Full Usage: `this.CosT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise cosine of the tensor Returns: `RawTensor`
`this.CoshInPlace` Full Usage: `this.CoshInPlace` Modifiers: abstract	Modifies the tensor by the element-wise cosh of the tensor
`this.CoshT` Full Usage: `this.CoshT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise cosh of the tensor Returns: `RawTensor`
`this.CreateLike` Full Usage: `this.CreateLike` Parameters: values : `obj` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with values drawn from the given .NET object for the given configuration settings, defaulting to the configuration settings of the object tensor. values : `obj` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.DetT` Full Usage: `this.DetT` Returns: `RawTensor` Modifiers: abstract	Returns the determinant of a square matrix Returns: `RawTensor`
`this.Device` Full Usage: `this.Device` Returns: `Device` Modifiers: abstract	Gets the device for the tensor Returns: `Device`
`this.DeviceType` Full Usage: `this.DeviceType` Returns: `DeviceType` Modifiers: abstract	Gets the device type for the tensor Returns: `DeviceType`
`this.DilateT` Full Usage: `this.DilateT` Parameters: dilations : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the dilation of the tensor using the given dilations parameters dilations : `int[]` Returns: `RawTensor`
`this.Dim` Full Usage: `this.Dim` Returns: `int` Modifiers: abstract	Gets the dimensionality of the tensor Returns: `int`
`this.DivFromT0T` Full Usage: `this.DivFromT0T` Parameters: t1 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise division of a scalar by a tensor, where the scalar is logically broadcast to the same shape as the tensor t1 : `scalar` Returns: `RawTensor`
`this.DivInPlace` Full Usage: `this.DivInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by the element-wise division of two tensors t2 : `RawTensor`
`this.DivScalarInPlace` Full Usage: `this.DivScalarInPlace` Parameters: t2 : `scalar` Modifiers: abstract	Modifies the tensor by the element-wise division of a tensor by a scalar, where the scalar is logically broadcast to the same shape as the tensor t2 : `scalar`
`this.DivTT` Full Usage: `this.DivTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise division of two tensors t2 : `RawTensor` Returns: `RawTensor`
`this.DivTT0` Full Usage: `this.DivTT0` Parameters: t2 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise division of a tensor by a scalar, where the scalar is logically broadcast to the same shape as the tensor t2 : `scalar` Returns: `RawTensor`
`this.Dtype` Full Usage: `this.Dtype` Returns: `Dtype` Modifiers: abstract	Gets the element storage type for the tensor Returns: `Dtype`
`this.EmptyLike` Full Usage: `this.EmptyLike` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with arbitrary values for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.EqInPlace` Full Usage: `this.EqInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor`
`this.EqTT` Full Usage: `this.EqTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor` Returns: `RawTensor`
`this.Equals` Full Usage: `this.Equals` Parameters: t2 : `RawTensor` Returns: `bool` Modifiers: abstract	Compare two tensors for equality t2 : `RawTensor` Returns: `bool`
`this.ExpInPlace` Full Usage: `this.ExpInPlace` Modifiers: abstract	Modifies the tensor by the element-wise natural exponentiation of the tensor
`this.ExpT` Full Usage: `this.ExpT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise natural exponentiation of the tensor Returns: `RawTensor`
`this.Expand` Full Usage: `this.Expand` Parameters: newShape : `Shape` Returns: `RawTensor` Modifiers: abstract	Expand the shape of the tensor. newShape : `Shape` Returns: `RawTensor`
`this.FlipT` Full Usage: `this.FlipT` Parameters: dims : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the flip of the tensor along the given dimensions dims : `int[]` Returns: `RawTensor`
`this.FloorInPlace` Full Usage: `this.FloorInPlace` Modifiers: abstract	Modifies the tensor by the element-wise integer floor of the tensor
`this.FloorT` Full Usage: `this.FloorT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise integer floor of the tensor Returns: `RawTensor`
`this.FullLike` Full Usage: `this.FullLike` Parameters: shape : `Shape` value : `scalar` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with the given scalar value for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` value : `scalar` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.GatherT` Full Usage: `this.GatherT` Parameters: dim : `int` indices : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a tensor selecting the given indices from the given dimension and stacking those in the order specified. dim : `int` indices : `RawTensor` Returns: `RawTensor`
`this.GeInPlace` Full Usage: `this.GeInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor`
`this.GeTT` Full Usage: `this.GeTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor` Returns: `RawTensor`
`this.GetItem` Full Usage: `this.GetItem` Parameters: indexes : `int[]` Returns: `scalar` Modifiers: abstract	Gets a .NET object representing the value of the tensor at the given indexes indexes : `int[]` Returns: `scalar`
`this.GetSlice` Full Usage: `this.GetSlice` Parameters: fullBounds : `int[,]` - The indexes are an Nx3 array. The first row is the start bounds, the second row is the end bounds, the third is 1/0 indicating dimension removal. Returns: `RawTensor` Modifiers: abstract	Get a slice of the given tensor. fullBounds : `int[,]` The indexes are an Nx3 array. The first row is the start bounds, the second row is the end bounds, the third is 1/0 indicating dimension removal. Returns: `RawTensor`
`this.GtInPlace` Full Usage: `this.GtInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor`
`this.GtTT` Full Usage: `this.GtTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor` Returns: `RawTensor`
`this.Handle` Full Usage: `this.Handle` Returns: `obj` Modifiers: abstract	Gets a handle to the underlying representation of the the tensor. For example, if the Torch backend is used this will be the corresponding TorchSharp TorchTensor. Returns: `obj`
`this.InverseT` Full Usage: `this.InverseT` Returns: `RawTensor` Modifiers: abstract	Returns the inverse of a single square matrix (2d tensor) or a batch of square matrices (3d tensor) Returns: `RawTensor`
`this.IsInfT` Full Usage: `this.IsInfT` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor where each element indicates if the corresponding element in the tensor is an infinity value Returns: `RawTensor`
`this.IsMutable` Full Usage: `this.IsMutable` Returns: `bool` Modifiers: abstract	Returns: `bool`
`this.IsNaNT` Full Usage: `this.IsNaNT` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor where each element indicates if the corresponding element in the tensor is a NaN value Returns: `RawTensor`
`this.LeInPlace` Full Usage: `this.LeInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor`
`this.LeTT` Full Usage: `this.LeTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor` Returns: `RawTensor`
`this.Log10InPlace` Full Usage: `this.Log10InPlace` Modifiers: abstract	Modifies the tensor by the element-wise base10 logarithm of the tensor
`this.Log10T` Full Usage: `this.Log10T` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise base10 logarithm of the tensor Returns: `RawTensor`
`this.LogInPlace` Full Usage: `this.LogInPlace` Modifiers: abstract	Modifies the tensor by the element-wise natural logarithm of the tensor
`this.LogT` Full Usage: `this.LogT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise natural logarithm of the tensor Returns: `RawTensor`
`this.LtInPlace` Full Usage: `this.LtInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor`
`this.LtTT` Full Usage: `this.LtTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor` Returns: `RawTensor`
`this.MatMulInPlace` Full Usage: `this.MatMulInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by the matrix multiplication of two tensors t2 : `RawTensor`
`this.MatMulTT` Full Usage: `this.MatMulTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the matrix multiplication of two tensors t2 : `RawTensor` Returns: `RawTensor`
`this.MaxIndexT` Full Usage: `this.MaxIndexT` Returns: `int[]` Modifiers: abstract	Gets the index of a maximum value of the tensor Returns: `int[]`
`this.MaxPool1D` Full Usage: `this.MaxPool1D` Parameters: kernelSize : `int` stride : `int` padding : `int` Returns: `RawTensor * RawTensor` Modifiers: abstract	Returns the 1D maxpool of a tensor and its chosen maximum indices kernelSize : `int` stride : `int` padding : `int` Returns: `RawTensor * RawTensor`
`this.MaxPool2D` Full Usage: `this.MaxPool2D` Parameters: kernelSize : `int[]` strides : `int[]` padding : `int[]` Returns: `RawTensor * RawTensor` Modifiers: abstract	Returns the 2D maxpool of a tensor and its chosen maximum indices kernelSize : `int[]` strides : `int[]` padding : `int[]` Returns: `RawTensor * RawTensor`
`this.MaxPool3D` Full Usage: `this.MaxPool3D` Parameters: kernelSize : `int[]` strides : `int[]` padding : `int[]` Returns: `RawTensor * RawTensor` Modifiers: abstract	Returns the 3D maxpool of a tensor and its chosen maximum indices kernelSize : `int[]` strides : `int[]` padding : `int[]` Returns: `RawTensor * RawTensor`
`this.MaxReduceT` Full Usage: `this.MaxReduceT` Parameters: dim : `int` keepdim : `bool` Returns: `RawTensor * RawTensor` Modifiers: abstract	Gets a tensor containing values and indexes of a maximum value of the tensor reducing along the given dimension dim : `int` keepdim : `bool` Returns: `RawTensor * RawTensor`
`this.MaxUnpool1D` Full Usage: `this.MaxUnpool1D` Parameters: indices : `RawTensor` outputSize : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 1D maxunpool of a tensor using the given indices for locations of maximums indices : `RawTensor` outputSize : `int[]` Returns: `RawTensor`
`this.MaxUnpool2D` Full Usage: `this.MaxUnpool2D` Parameters: indices : `RawTensor` outputSize : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 2D maxunpool of a tensor using the given indices for locations of maximums indices : `RawTensor` outputSize : `int[]` Returns: `RawTensor`
`this.MaxUnpool3D` Full Usage: `this.MaxUnpool3D` Parameters: indices : `RawTensor` outputSize : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the 3D maxunpool of a tensor using the given indices for locations of maximums indices : `RawTensor` outputSize : `int[]` Returns: `RawTensor`
`this.MinIndexT` Full Usage: `this.MinIndexT` Returns: `int[]` Modifiers: abstract	Gets the index of a minimum value of the tensor Returns: `int[]`
`this.MinReduceT` Full Usage: `this.MinReduceT` Parameters: dim : `int` keepdim : `bool` Returns: `RawTensor * RawTensor` Modifiers: abstract	Gets a tensor containing values and indexes of a minimum value of the tensor reducing along the given dimension dim : `int` keepdim : `bool` Returns: `RawTensor * RawTensor`
`this.MoveTo` Full Usage: `this.MoveTo` Parameters: device : `Device` Returns: `RawTensor` Modifiers: abstract	Returns a tensor moved to the given device. device : `Device` Returns: `RawTensor`
`this.MulInPlace` Full Usage: `this.MulInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by the element-wise multiplication of two tensors t2 : `RawTensor`
`this.MulScalarInPlace` Full Usage: `this.MulScalarInPlace` Parameters: b : `scalar` Modifiers: abstract	Modifies the tensor by the element-wise multiplication of a tensor and a scalar, where the scalar is logically broadcast to the same shape as the tensor b : `scalar`
`this.MulTT` Full Usage: `this.MulTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise multiplication of two tensors t2 : `RawTensor` Returns: `RawTensor`
`this.MulTT0` Full Usage: `this.MulTT0` Parameters: t2 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise multiplication of a tensor and a scalar, where the scalar is logically broadcast to the same shape as the tensor t2 : `scalar` Returns: `RawTensor`
`this.NegInPlace` Full Usage: `this.NegInPlace` Modifiers: abstract	Modifies the tensor by the element-wise negation of the tensor
`this.NegT` Full Usage: `this.NegT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise negation of the tensor Returns: `RawTensor`
`this.Nelement` Full Usage: `this.Nelement` Returns: `int` Modifiers: abstract	Gets the number of elements in the tensor Returns: `int`
`this.NeqInPlace` Full Usage: `this.NeqInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor`
`this.NeqTT` Full Usage: `this.NeqTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns a boolean tensor comparing each element pairwise with the corresponding element in t2 t2 : `RawTensor` Returns: `RawTensor`
`this.OneLike` Full Usage: `this.OneLike` Parameters: ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a scalar one tensor for the given configuration settings, defaulting to the configuration settings of the object tensor ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.OnesInPlace` Full Usage: `this.OnesInPlace` Modifiers: abstract	Modifies the tensor by setting all values to one
`this.OnesLike` Full Usage: `this.OnesLike` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with one values for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.PermuteT` Full Usage: `this.PermuteT` Parameters: permutation : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns a view of the original tensor with its dimensions permuted permutation : `int[]` Returns: `RawTensor`
`this.PowFromT0T` Full Usage: `this.PowFromT0T` Parameters: t1 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise exponentiation of a scalar and a tensor, where the scalar is logically broadcast to the same shape as the tensor t1 : `scalar` Returns: `RawTensor`
`this.PowInPlace` Full Usage: `this.PowInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by the element-wise exponentiation of two tensors t2 : `RawTensor`
`this.PowScalarInPlace` Full Usage: `this.PowScalarInPlace` Parameters: t2 : `scalar` Modifiers: abstract	Modifies the tensor by the element-wise exponentiation of a tensor and a scalar, where the scalar is logically broadcast to the same shape as the tensor t2 : `scalar`
`this.PowTT` Full Usage: `this.PowTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise exponentiation of two tensors t2 : `RawTensor` Returns: `RawTensor`
`this.PowTT0` Full Usage: `this.PowTT0` Parameters: t2 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise exponentiation of a tensor and a scalar, where the scalar is logically broadcast to the same shape as the tensor t2 : `scalar` Returns: `RawTensor`
`this.Print` Full Usage: `this.Print` Parameters: ?postfix : `string` Returns: `string`	?postfix : `string` Returns: `string`
`this.RandomInPlace` Full Usage: `this.RandomInPlace` Modifiers: abstract	Modifies the tensor by setting it to random values taken from a uniform distribution in [0, 1).
`this.RandomIntInPlace` Full Usage: `this.RandomIntInPlace` Parameters: low : `int` high : `int` Modifiers: abstract	Gets a tensor filled with random integers from the given range low : `int` high : `int`
`this.RandomIntLike` Full Usage: `this.RandomIntLike` Parameters: shape : `Shape` low : `int` high : `int` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with random integer values from the given range for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` low : `int` high : `int` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.RandomLike` Full Usage: `this.RandomLike` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with random values for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.RandomNormalInPlace` Full Usage: `this.RandomNormalInPlace` Modifiers: abstract	Modifies the tensor by setting all values taken from a normal distribution with mean 0 and variance 1.
`this.RandomNormalLike` Full Usage: `this.RandomNormalLike` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with random values from a normal distribution for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.ReluInPlace` Full Usage: `this.ReluInPlace` Modifiers: abstract	Modifies the tensor by the element-wise ReLU of the tensor
`this.ReluT` Full Usage: `this.ReluT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise ReLU of the tensor Returns: `RawTensor`
`this.RoundInPlace` Full Usage: `this.RoundInPlace` Modifiers: abstract	Modifies the tensor by the element-wise rounding of the tensor
`this.RoundT` Full Usage: `this.RoundT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise rounding of the tensor Returns: `RawTensor`
`this.ScatterT` Full Usage: `this.ScatterT` Parameters: dim : `int` indices : `RawTensor` destinationShape : `Shape` Returns: `RawTensor` Modifiers: abstract	Returns a tensor with given destination shape where values are copied from the current tensor to locations specified by the dimension and indices. dim : `int` indices : `RawTensor` destinationShape : `Shape` Returns: `RawTensor`
`this.SetMutable` Full Usage: `this.SetMutable` Modifiers: abstract	A backdoor to switch this tensor to be usable as a mutable tensor. You should have a unique handle to this tensor for the entire time it is being used as a mutable tensor.
`this.Shape` Full Usage: `this.Shape` Returns: `Shape` Modifiers: abstract	Gets the shape of the tensor Returns: `Shape`
`this.SigmoidInPlace` Full Usage: `this.SigmoidInPlace` Modifiers: abstract	Modifies the tensor by the element-wise sigmoid of the tensor
`this.SigmoidT` Full Usage: `this.SigmoidT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise sigmoid of the tensor Returns: `RawTensor`
`this.SignInPlace` Full Usage: `this.SignInPlace` Modifiers: abstract	Modifies the tensor by the element-wise sign of the tensor
`this.SignT` Full Usage: `this.SignT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise sign of the tensor Returns: `RawTensor`
`this.SinInPlace` Full Usage: `this.SinInPlace` Modifiers: abstract	Modifies the tensor by the element-wise sine of the tensor
`this.SinT` Full Usage: `this.SinT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise sine of the tensor Returns: `RawTensor`
`this.SinhInPlace` Full Usage: `this.SinhInPlace` Modifiers: abstract	Modifies the tensor by the element-wise sinh of the tensor
`this.SinhT` Full Usage: `this.SinhT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise sinh of the tensor Returns: `RawTensor`
`this.SoftplusInPlace` Full Usage: `this.SoftplusInPlace` Modifiers: abstract	Modifies the tensor by the element-wise softplus of the tensor
`this.SoftplusT` Full Usage: `this.SoftplusT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise softplus of the tensor Returns: `RawTensor`
`this.SolveTT` Full Usage: `this.SolveTT` Parameters: arg0 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the solution of single a square system of linear equations with a unique solution or a batch of several such systems arg0 : `RawTensor` Returns: `RawTensor`
`this.SplitT` Full Usage: `this.SplitT` Parameters: sizes : `int[]` dim : `int` Returns: `RawTensor[]` Modifiers: abstract	Split the given tensors along the given dimensions sizes : `int[]` dim : `int` Returns: `RawTensor[]`
`this.SqrtInPlace` Full Usage: `this.SqrtInPlace` Modifiers: abstract	Modifies the tensor by the element-wise square root of the tensor
`this.SqrtT` Full Usage: `this.SqrtT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise square root of the tensor Returns: `RawTensor`
`this.SqueezeT` Full Usage: `this.SqueezeT` Parameters: dim : `int` Returns: `RawTensor` Modifiers: abstract	Returns the tensor with the same values and the given dimension removed. The given dimension must be of size 1. dim : `int` Returns: `RawTensor`
`this.StackTs` Full Usage: `this.StackTs` Parameters: tensors : `RawTensor[]` dim : `int` Returns: `RawTensor` Modifiers: abstract	Stack the given tensors along the given dimension tensors : `RawTensor[]` dim : `int` Returns: `RawTensor`
`this.SubFromT0T` Full Usage: `this.SubFromT0T` Parameters: t1 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise subtraction of the scalar and a tensor, where the scalar is logically broadcast to the same shape as the tensor t1 : `scalar` Returns: `RawTensor`
`this.SubInPlace` Full Usage: `this.SubInPlace` Parameters: t2 : `RawTensor` Modifiers: abstract	Modifies the tensor by the element-wise subtraction of two tensors t2 : `RawTensor`
`this.SubScalarInPlace` Full Usage: `this.SubScalarInPlace` Parameters: b : `scalar` Modifiers: abstract	Modifies the tensor by the element-wise subtraction of the tensor and a scalar, where the scalar is logically broadcast to the same shape as the tensor b : `scalar`
`this.SubTT` Full Usage: `this.SubTT` Parameters: t2 : `RawTensor` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise subtraction of two tensors t2 : `RawTensor` Returns: `RawTensor`
`this.SubTT0` Full Usage: `this.SubTT0` Parameters: t2 : `scalar` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise subtraction of the tensor and a scalar, where the scalar is logically broadcast to the same shape as the tensor t2 : `scalar` Returns: `RawTensor`
`this.SumT` Full Usage: `this.SumT` Parameters: ?resultType : `Dtype` Returns: `RawTensor` Modifiers: abstract	Returns the scalar tensor for the summation of all elements in the tensor ?resultType : `Dtype` Returns: `RawTensor`
`this.SumTDim` Full Usage: `this.SumTDim` Parameters: dim : `int` ?resultType : `Dtype` Returns: `RawTensor` Modifiers: abstract	Returns the tensor representing the summation of the tensor along the given dimension dim : `int` ?resultType : `Dtype` Returns: `RawTensor`
`this.TanInPlace` Full Usage: `this.TanInPlace` Modifiers: abstract	Modifies the tensor by the element-wise tangent of the tensor
`this.TanT` Full Usage: `this.TanT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise tangent of the tensor Returns: `RawTensor`
`this.TanhInPlace` Full Usage: `this.TanhInPlace` Modifiers: abstract	Modifies the tensor by the element-wise tanh of the tensor
`this.TanhT` Full Usage: `this.TanhT` Returns: `RawTensor` Modifiers: abstract	Returns the element-wise tanh of the tensor Returns: `RawTensor`
`this.ToArray` Full Usage: `this.ToArray` Returns: `Array`	Returns a .NET array object for the values of a non-scalar tensor Returns: `Array`
`this.ToScalar` Full Usage: `this.ToScalar` Returns: `scalar` Modifiers: abstract	Gets a .NET object representing the value of a scalar tensor Returns: `scalar`
`this.ToValues` Full Usage: `this.ToValues` Returns: `obj` Modifiers: abstract	Get a .NET object for all the values in the tensor. The runtime type of the returned object is either a .NET scalar or array corresponding to the shape and element type of the tensor. Returns: `obj`
`this.TransposeT` Full Usage: `this.TransposeT` Parameters: dim0 : `int` dim1 : `int` Returns: `RawTensor` Modifiers: abstract	Returns the transpose of the tensor between the given dimensions dim0 : `int` dim1 : `int` Returns: `RawTensor`
`this.TransposeT2` Full Usage: `this.TransposeT2` Returns: `RawTensor` Modifiers: abstract	Returns the transpose of a 2D tensor Returns: `RawTensor`
`this.UndilateT` Full Usage: `this.UndilateT` Parameters: dilations : `int[]` Returns: `RawTensor` Modifiers: abstract	Returns the reverse of the dilation of the tensor using the given dilations parameters dilations : `int[]` Returns: `RawTensor`
`this.UnsqueezeT` Full Usage: `this.UnsqueezeT` Parameters: dim : `int` Returns: `RawTensor` Modifiers: abstract	Returns the tensor with the same values and a dimension of size 1 inserted before the given dimension. dim : `int` Returns: `RawTensor`
`this.UnstackT` Full Usage: `this.UnstackT` Parameters: dim : `int` Returns: `RawTensor[]` Modifiers: abstract	Unstack the given tensors along the given dimension dim : `int` Returns: `RawTensor[]`
`this.ViewT` Full Usage: `this.ViewT` Parameters: shape : `Shape` Returns: `RawTensor` Modifiers: abstract	Returns the tensor with the same values viewed as a different shape shape : `Shape` Returns: `RawTensor`
`this.ZeroLike` Full Usage: `this.ZeroLike` Parameters: ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a zero tensor for the given configuration settings, defaulting to the configuration settings of the object tensor ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`this.ZerosInPlace` Full Usage: `this.ZerosInPlace` Modifiers: abstract	Modifies the tensor by setting all values to zero
`this.ZerosLike` Full Usage: `this.ZerosLike` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with zero values for the given shape and configuration settings, defaulting to the configuration settings of the object tensor shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`

Static members

Static member	Description
`RawTensor.Create(values, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.Create(values, ?dtype, ?device, ?backend)` Parameters: values : `obj` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with values drawn from the given .NET object. The value may be a scalar, an array, or an array of tupled objects. If the `dtype` is not specified then it is inferred from the .NET type of the object. values : `obj` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.CreateFromFlatArray(values, shape, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.CreateFromFlatArray(values, shape, ?dtype, ?device, ?backend)` Parameters: values : `Array` shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	values : `Array` shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.Empty(shape, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.Empty(shape, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor containing arbitrary values for the given shape and configuration shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.Full(shape, value, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.Full(shape, value, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` value : `scalar` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with the given value for the given shape and configuration shape : `Shape` value : `scalar` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.One(?dtype, ?device, ?backend)` Full Usage: `RawTensor.One(?dtype, ?device, ?backend)` Parameters: ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets the scalar 1 tensor for the given configuration ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.Ones(shape, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.Ones(shape, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with 1 values for the given shape and configuration shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.Random(shape, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.Random(shape, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with random values for the given shape and configuration shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.RandomInt(shape, low, high, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.RandomInt(shape, low, high, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` low : `int` high : `int` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with random integer values from the given range for the given shape and configuration shape : `Shape` low : `int` high : `int` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.RandomNormal(shape, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.RandomNormal(shape, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets a tensor filled with random values from the normal distribution for the given shape and configuration shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.Zero(?dtype, ?device, ?backend)` Full Usage: `RawTensor.Zero(?dtype, ?device, ?backend)` Parameters: ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets the scalar zero tensor for the given configuration ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`
`RawTensor.Zeros(shape, ?dtype, ?device, ?backend)` Full Usage: `RawTensor.Zeros(shape, ?dtype, ?device, ?backend)` Parameters: shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`	Gets the zero tensor for the given shape and configuration shape : `Shape` ?dtype : `Dtype` ?device : `Device` ?backend : `Backend` Returns: `RawTensor`