Version: Next

Interface: Tensor

Indexable

▪ [index: number]: Tensor

Access tensor with index.

const tensor = torch.rand([2]);
console.log(tensor.data, tensor[0].data);
// [0.8339180946350098, 0.17733973264694214], [0.8339180946350098]

https://pytorch.org/cppdocs/notes/tensor_indexing.html

Properties

dtype

• dtype: Dtype

A dtype is an string that represents the data type of a torch.Tensor.

https://pytorch.org/docs/1.12/tensor_attributes.html

shape

• shape: number[]

Returns the size of the tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.size.html

Methods

_And_

▸ And(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.and.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ And(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

_Lshift_

▸ Lshift(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.lshift.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ Lshift(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

_Or_

▸ Or(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.or.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ Or(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

_Rshift_

▸ Rshift(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.rshift.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ Rshift(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

_Xor_

▸ Xor(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.xor.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ Xor(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

_addmmActivation

▸ _addmmActivation(mat1, mat2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._addmm_activation.html

Parameters

Name	Type
`mat1`	Tensor
`mat2`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`
`options.useGelu?`	`boolean`

Returns

Tensor

_conj

▸ _conj(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._conj.html

Returns

Tensor

_conjPhysical

▸ _conjPhysical(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._conj_physical.html

Returns

Tensor

_fwPrimal

▸ _fwPrimal(level): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._fw_primal.html

Parameters

Name	Type
`level`	`number`

Returns

Tensor

_indices

▸ _indices(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._indices.html

Returns

Tensor

_negView

▸ _negView(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._neg_view.html

Returns

Tensor

_nestedTensorSize

▸ _nestedTensorSize(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._nested_tensor_size.html

Returns

Tensor

_nestedTensorStrides

▸ _nestedTensorStrides(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._nested_tensor_strides.html

Returns

Tensor

_reshapeAlias

▸ _reshapeAlias(size, stride): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._reshape_alias.html

Parameters

Name	Type
`size`	`number`[]
`stride`	`number`[]

Returns

Tensor

_values

▸ _values(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor._values.html

Returns

Tensor

abs

▸ abs(): Tensor

Computes the absolute value of each element in input.

https://pytorch.org/docs/1.12/generated/torch.Tensor.abs.html

Returns

Tensor

absolute

▸ absolute(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.absolute.html

Returns

Tensor

acos

▸ acos(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.acos.html

Returns

Tensor

acosh

▸ acosh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.acosh.html

Returns

Tensor

add

▸ add(other, options?): Tensor

Add a scalar or tensor to this tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.add.html

Parameters

Name	Type	Description
`other`	`number` \| Tensor	Scalar or tensor to be added to each element in this tensor.
`options?`	`Object`	-
`options.alpha?`	`Number`	The multiplier for `other`. Default: `1`.

Returns

Tensor

addbmm

▸ addbmm(batch1, batch2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.addbmm.html

Parameters

Name	Type
`batch1`	Tensor
`batch2`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`

Returns

Tensor

addcdiv

▸ addcdiv(tensor1, tensor2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.addcdiv.html

Parameters

Name	Type
`tensor1`	Tensor
`tensor2`	Tensor
`options?`	`Object`
`options.value?`	`Number`

Returns

Tensor

addcmul

▸ addcmul(tensor1, tensor2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.addcmul.html

Parameters

Name	Type
`tensor1`	Tensor
`tensor2`	Tensor
`options?`	`Object`
`options.value?`	`Number`

Returns

Tensor

addmm

▸ addmm(mat1, mat2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.addmm.html

Parameters

Name	Type
`mat1`	Tensor
`mat2`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`

Returns

Tensor

addmv

▸ addmv(mat, vec, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.addmv.html

Parameters

Name	Type
`mat`	Tensor
`vec`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`

Returns

Tensor

addr

▸ addr(vec1, vec2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.addr.html

Parameters

Name	Type
`vec1`	Tensor
`vec2`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`

Returns

Tensor

adjoint

▸ adjoint(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.adjoint.html

Returns

Tensor

alias

▸ alias(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.alias.html

Returns

Tensor

alignAs

▸ alignAs(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.align_as.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

aminmax

▸ aminmax(options?): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.aminmax.html

Parameters

Name	Type
`options?`	`Object`
`options.dim?`	`number`
`options.keepdim?`	`boolean`

Returns

[Tensor, Tensor]

angle

▸ angle(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.angle.html

Returns

Tensor

arccos

▸ arccos(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arccos.html

Returns

Tensor

arccosh

▸ arccosh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arccosh.html

Returns

Tensor

arcsin

▸ arcsin(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arcsin.html

Returns

Tensor

arcsinh

▸ arcsinh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arcsinh.html

Returns

Tensor

arctan

▸ arctan(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arctan.html

Returns

Tensor

arctan2

▸ arctan2(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arctan2.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

arctanh

▸ arctanh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.arctanh.html

Returns

Tensor

argmax

▸ argmax(options?): Tensor

Returns the indices of the maximum value of all elements in the input tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.argmax.html

Parameters

Name	Type	Description
`options?`	`Object`	argmax Options as keywords argument in pytorch
`options.dim?`	`number`	The dimension to reduce. If `undefined`, the argmax of the flattened input is returned.
`options.keepdim?`	`boolean`	Whether the output tensor has `dim` retained or not. Ignored if `dim` is `undefined`.

Returns

Tensor

argmin

▸ argmin(options?): Tensor

Returns the indices of the minimum value(s) of the flattened tensor or along a dimension

https://pytorch.org/docs/1.12/generated/torch.Tensor.argmin.html

Parameters

Name	Type	Description
`options?`	`Object`	argmin Options as keywords argument in pytorch
`options.dim?`	`number`	The dimension to reduce. If `undefined`, the argmin of the flattened input is returned.
`options.keepdim?`	`boolean`	Whether the output tensor has `dim` retained or not. Ignored if `dim` is `undefined`.

Returns

Tensor

argwhere

▸ argwhere(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.argwhere.html

Returns

Tensor

asStrided

▸ asStrided(size, stride, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.as_strided.html

Parameters

Name	Type
`size`	`number`[]
`stride`	`number`[]
`options?`	`Object`
`options.storageOffset?`	`number`

Returns

Tensor

asStridedScatter

▸ asStridedScatter(src, size, stride, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.as_strided_scatter.html

Parameters

Name	Type
`src`	Tensor
`size`	`number`[]
`stride`	`number`[]
`options?`	`Object`
`options.storageOffset?`	`number`

Returns

Tensor

asin

▸ asin(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.asin.html

Returns

Tensor

asinh

▸ asinh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.asinh.html

Returns

Tensor

atan

▸ atan(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.atan.html

Returns

Tensor

atan2

▸ atan2(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.atan2.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

atanh

▸ atanh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.atanh.html

Returns

Tensor

baddbmm

▸ baddbmm(batch1, batch2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.baddbmm.html

Parameters

Name	Type
`batch1`	Tensor
`batch2`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`

Returns

Tensor

bitwiseAnd

▸ bitwiseAnd(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bitwise_and.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ bitwiseAnd(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

bitwiseLeftShift

▸ bitwiseLeftShift(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bitwise_left_shift.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ bitwiseLeftShift(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

bitwiseNot

▸ bitwiseNot(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bitwise_not.html

Returns

Tensor

bitwiseOr

▸ bitwiseOr(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bitwise_or.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ bitwiseOr(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

bitwiseRightShift

▸ bitwiseRightShift(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bitwise_right_shift.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ bitwiseRightShift(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

bitwiseXor

▸ bitwiseXor(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bitwise_xor.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ bitwiseXor(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

bmm

▸ bmm(mat2): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.bmm.html

Parameters

Name	Type
`mat2`	Tensor

Returns

Tensor

broadcastTo

▸ broadcastTo(size): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.broadcast_to.html

Parameters

Name	Type
`size`	`number`[]

Returns

Tensor

ccolIndices

▸ ccolIndices(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ccol_indices.html

Returns

Tensor

ceil

▸ ceil(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ceil.html

Returns

Tensor

cholesky

▸ cholesky(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.cholesky.html

Parameters

Name	Type
`options?`	`Object`
`options.upper?`	`boolean`

Returns

Tensor

choleskyInverse

▸ choleskyInverse(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.cholesky_inverse.html

Parameters

Name	Type
`options?`	`Object`
`options.upper?`	`boolean`

Returns

Tensor

choleskySolve

▸ choleskySolve(input2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.cholesky_solve.html

Parameters

Name	Type
`input2`	Tensor
`options?`	`Object`
`options.upper?`	`boolean`

Returns

Tensor

clamp

▸ clamp(min, max?): Tensor

Clamps all elements in input into the range [ min, max ].

If min is undefined, there is no lower bound. Or, if max is undefined there is no upper bound.

https://pytorch.org/docs/1.12/generated/torch.Tensor.clamp.html

Parameters

Name	Type	Description
`min`	`number` \| Tensor	Lower-bound of the range to be clamped to
`max?`	`number` \| Tensor	Upper-bound of the range to be clamped to

Returns

Tensor

▸ clamp(options): Tensor

Clamps all elements in input into the range [ min, max ].

If min is undefined, there is no lower bound. Or, if max is undefined there is no upper bound.

https://pytorch.org/docs/1.12/generated/torch.Tensor.clamp.html

Parameters

Name	Type	Description
`options`	`Object`	-
`options.max?`	`number` \| Tensor	Upper-bound of the range to be clamped to
`options.min?`	`number` \| Tensor	Lower-bound of the range to be clamped to

Returns

Tensor

clampMax

▸ clampMax(max): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.clamp_max.html

Parameters

Name	Type
`max`	`number`

Returns

Tensor

▸ clampMax(max): Tensor

Parameters

Name	Type
`max`	Tensor

Returns

Tensor

clampMin

▸ clampMin(min): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.clamp_min.html

Parameters

Name	Type
`min`	`number`

Returns

Tensor

▸ clampMin(min): Tensor

Parameters

Name	Type
`min`	Tensor

Returns

Tensor

coalesce

▸ coalesce(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.coalesce.html

Returns

Tensor

colIndices

▸ colIndices(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.col_indices.html

Returns

Tensor

conj

▸ conj(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.conj.html

Returns

Tensor

conjPhysical

▸ conjPhysical(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.conj_physical.html

Returns

Tensor

contiguous

▸ contiguous(options?): Tensor

Returns a contiguous in memory tensor containing the same data as this tensor. If this tensor is already in the specified memory format, this function returns this tensor.

Parameters

Name	Type	Description
`options?`	`Object`	-
`options.memoryFormat`	MemoryFormat	The desired memory format of returned Tensor. Default: torch.contiguousFormat. https://pytorch.org/docs/1.12/generated/torch.Tensor.contiguous.html

Returns

Tensor

copysign

▸ copysign(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.copysign.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ copysign(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

corrcoef

▸ corrcoef(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.corrcoef.html

Returns

Tensor

cos

▸ cos(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.cos.html

Returns

Tensor

cosh

▸ cosh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.cosh.html

Returns

Tensor

countNonzero

▸ countNonzero(dim): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.count_nonzero.html

Parameters

Name	Type
`dim`	`number`[]

Returns

Tensor

▸ countNonzero(options?): Tensor

Parameters

Name	Type
`options?`	`Object`
`options.dim?`	`number`

Returns

Tensor

cross

▸ cross(other, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.cross.html

Parameters

Name	Type
`other`	Tensor
`options?`	`Object`
`options.dim?`	`number`

Returns

Tensor

crowIndices

▸ crowIndices(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.crow_indices.html

Returns

Tensor

data

▸ data(): TypedArray

Returns the tensor data as TypedArray buffer.

https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray

A valid TypeScript expression is as follows:

torch.rand([2, 3]).data()[3];

note

The function only exists in JavaScript.

experimental

Returns

TypedArray

deg2rad

▸ deg2rad(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.deg2rad.html

Returns

Tensor

dequantize

▸ dequantize(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.dequantize.html

Returns

Tensor

det

▸ det(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.det.html

Returns

Tensor

detach

▸ detach(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.detach.html

Returns

Tensor

diag

▸ diag(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.diag.html

Parameters

Name	Type
`options?`	`Object`
`options.diagonal?`	`number`

Returns

Tensor

diagEmbed

▸ diagEmbed(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.diag_embed.html

Parameters

Name	Type
`options?`	`Object`
`options.dim1?`	`number`
`options.dim2?`	`number`
`options.offset?`	`number`

Returns

Tensor

diagflat

▸ diagflat(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.diagflat.html

Parameters

Name	Type
`options?`	`Object`
`options.offset?`	`number`

Returns

Tensor

diagonalScatter

▸ diagonalScatter(src, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.diagonal_scatter.html

Parameters

Name	Type
`src`	Tensor
`options?`	`Object`
`options.dim1?`	`number`
`options.dim2?`	`number`
`options.offset?`	`number`

Returns

Tensor

digamma

▸ digamma(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.digamma.html

Returns

Tensor

dist

▸ dist(other, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.dist.html

Parameters

Name	Type
`other`	Tensor
`options?`	`Object`
`options.p?`	`Number`

Returns

Tensor

div

▸ div(other, options?): Tensor

Divides each element of the input input by the corresponding element of other.

https://pytorch.org/docs/1.12/generated/torch.Tensor.div.html

Parameters

Name	Type	Description
`other`	`number` \| Tensor	Scalar or tensor that divides each element in this tensor.
`options?`	`Object`	-
`options.roundingMode?`	`"trunc"` \| `"floor"`	Type of rounding applied to the result

Returns

Tensor

dot

▸ dot(tensor): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.dot.html

Parameters

Name	Type
`tensor`	Tensor

Returns

Tensor

eq

▸ eq(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.eq.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ eq(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

erf

▸ erf(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.erf.html

Returns

Tensor

erfc

▸ erfc(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.erfc.html

Returns

Tensor

erfinv

▸ erfinv(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.erfinv.html

Returns

Tensor

exp

▸ exp(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.exp.html

Returns

Tensor

exp2

▸ exp2(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.exp2.html

Returns

Tensor

expand

▸ expand(sizes): Tensor

Returns a new view of the tensor expanded to a larger size.

https://pytorch.org/docs/stable/generated/torch.Tensor.expand.html

Parameters

Name	Type	Description
`sizes`	`number`[]	The expanded size, eg: ([3, 4]).

Returns

Tensor

expandAs

▸ expandAs(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.expand_as.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

expm1

▸ expm1(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.expm1.html

Returns

Tensor

fix

▸ fix(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.fix.html

Returns

Tensor

flip

▸ flip(dims): Tensor

Reverse the order of a n-D tensor along given axis in dims.

https://pytorch.org/docs/1.12/generated/torch.Tensor.flip.html

Parameters

Name	Type	Description
`dims`	`number`[]	Axis to flip on.

Returns

Tensor

fliplr

▸ fliplr(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.fliplr.html

Returns

Tensor

flipud

▸ flipud(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.flipud.html

Returns

Tensor

floatPower

▸ floatPower(exponent): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.float_power.html

Parameters

Name	Type
`exponent`	Tensor

Returns

Tensor

▸ floatPower(exponent): Tensor

Parameters

Name	Type
`exponent`	`number`

Returns

Tensor

floor

▸ floor(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.floor.html

Returns

Tensor

floorDivide

▸ floorDivide(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.floor_divide.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ floorDivide(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

fmax

▸ fmax(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.fmax.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

fmin

▸ fmin(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.fmin.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

fmod

▸ fmod(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.fmod.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ fmod(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

frac

▸ frac(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.frac.html

Returns

Tensor

frexp

▸ frexp(): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.frexp.html

Returns

[Tensor, Tensor]

gcd

▸ gcd(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.gcd.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

ge

▸ ge(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ge.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ ge(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

geqrf

▸ geqrf(): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.geqrf.html

Returns

[Tensor, Tensor]

ger

▸ ger(vec2): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ger.html

Parameters

Name	Type
`vec2`	Tensor

Returns

Tensor

greater

▸ greater(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.greater.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ greater(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

greaterEqual

▸ greaterEqual(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.greater_equal.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ greaterEqual(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

gt

▸ gt(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.gt.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ gt(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

hardshrink

▸ hardshrink(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.hardshrink.html

Parameters

Name	Type
`options?`	`Object`
`options.lambd?`	`Number`

Returns

Tensor

heaviside

▸ heaviside(values): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.heaviside.html

Parameters

Name	Type
`values`	Tensor

Returns

Tensor

histc

▸ histc(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.histc.html

Parameters

Name	Type
`options?`	`Object`
`options.bins?`	`number`
`options.max?`	`Number`
`options.min?`	`Number`

Returns

Tensor

hypot

▸ hypot(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.hypot.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

i0

▸ i0(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.i0.html

Returns

Tensor

igamma

▸ igamma(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.igamma.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

igammac

▸ igammac(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.igammac.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

indices

▸ indices(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.indices.html

Returns

Tensor

inner

▸ inner(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.inner.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

intRepr

▸ intRepr(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.int_repr.html

Returns

Tensor

inverse

▸ inverse(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.inverse.html

Returns

Tensor

isfinite

▸ isfinite(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.isfinite.html

Returns

Tensor

isinf

▸ isinf(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.isinf.html

Returns

Tensor

isnan

▸ isnan(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.isnan.html

Returns

Tensor

isneginf

▸ isneginf(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.isneginf.html

Returns

Tensor

isposinf

▸ isposinf(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.isposinf.html

Returns

Tensor

isreal

▸ isreal(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.isreal.html

Returns

Tensor

item

▸ item(): number

Returns the value of this tensor as a number. This only works for tensors with one element.

https://pytorch.org/docs/1.12/generated/torch.Tensor.item.html

Returns

number

kron

▸ kron(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.kron.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

lcm

▸ lcm(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.lcm.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

ldexp

▸ ldexp(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ldexp.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

le

▸ le(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.le.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ le(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

lerp

▸ lerp(end, weight): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.lerp.html

Parameters

Name	Type
`end`	Tensor
`weight`	`number`

Returns

Tensor

▸ lerp(end, weight): Tensor

Parameters

Name	Type
`end`	Tensor
`weight`	Tensor

Returns

Tensor

less

▸ less(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.less.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ less(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

lessEqual

▸ lessEqual(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.less_equal.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ lessEqual(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

lgamma

▸ lgamma(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.lgamma.html

Returns

Tensor

log

▸ log(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.log.html

Returns

Tensor

log10

▸ log10(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.log10.html

Returns

Tensor

log1p

▸ log1p(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.log1p.html

Returns

Tensor

log2

▸ log2(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.log2.html

Returns

Tensor

logaddexp

▸ logaddexp(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logaddexp.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

logaddexp2

▸ logaddexp2(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logaddexp2.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

logdet

▸ logdet(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logdet.html

Returns

Tensor

logicalAnd

▸ logicalAnd(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logical_and.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

logicalNot

▸ logicalNot(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logical_not.html

Returns

Tensor

logicalOr

▸ logicalOr(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logical_or.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

logicalXor

▸ logicalXor(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.logical_xor.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

lt

▸ lt(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.lt.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ lt(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

luSolve

▸ luSolve(LUData, LUPivots): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.lu_solve.html

Parameters

Name	Type
`LUData`	Tensor
`LUPivots`	Tensor

Returns

Tensor

mH

▸ mH(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.mH.html

Returns

Tensor

mT

▸ mT(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.mT.html

Returns

Tensor

maskedFill

▸ maskedFill(mask, value): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.masked_fill.html

Parameters

Name	Type
`mask`	Tensor
`value`	`number`

Returns

Tensor

▸ maskedFill(mask, value): Tensor

Parameters

Name	Type
`mask`	Tensor
`value`	Tensor

Returns

Tensor

maskedScatter

▸ maskedScatter(mask, source): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.masked_scatter.html

Parameters

Name	Type
`mask`	Tensor
`source`	Tensor

Returns

Tensor

maskedSelect

▸ maskedSelect(mask): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.masked_select.html

Parameters

Name	Type
`mask`	Tensor

Returns

Tensor

matmul

▸ matmul(other): Tensor

Performs matrix multiplication with other tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.matmul.html

Parameters

Name	Type	Description
`other`	Tensor	tensor matrix multiplied this tensor.

Returns

Tensor

matrixExp

▸ matrixExp(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.matrix_exp.html

Returns

Tensor

matrixH

▸ matrixH(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.matrix_H.html

Returns

Tensor

matrixPower

▸ matrixPower(n): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.matrix_power.html

Parameters

Name	Type
`n`	`number`

Returns

Tensor

maximum

▸ maximum(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.maximum.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

minimum

▸ minimum(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.minimum.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

mm

▸ mm(mat2): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.mm.html

Parameters

Name	Type
`mat2`	Tensor

Returns

Tensor

moveaxis

▸ moveaxis(source, destination): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.moveaxis.html

Parameters

Name	Type
`source`	`number`[]
`destination`	`number`[]

Returns

Tensor

▸ moveaxis(source, destination): Tensor

Parameters

Name	Type
`source`	`number`
`destination`	`number`

Returns

Tensor

movedim

▸ movedim(source, destination): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.movedim.html

Parameters

Name	Type
`source`	`number`[]
`destination`	`number`[]

Returns

Tensor

▸ movedim(source, destination): Tensor

Parameters

Name	Type
`source`	`number`
`destination`	`number`

Returns

Tensor

msort

▸ msort(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.msort.html

Returns

Tensor

mul

▸ mul(other): Tensor

Multiplies input by other scalar or tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.mul.html

Parameters

Name	Type	Description
`other`	`number` \| Tensor	Scalar or tensor multiplied with each element in this tensor.

Returns

Tensor

multiply

▸ multiply(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.multiply.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ multiply(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

mv

▸ mv(vec): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.mv.html

Parameters

Name	Type
`vec`	Tensor

Returns

Tensor

mvlgamma

▸ mvlgamma(p): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.mvlgamma.html

Parameters

Name	Type
`p`	`number`

Returns

Tensor

narrow

▸ narrow(dim, start, length): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.narrow.html

Parameters

Name	Type
`dim`	`number`
`start`	`number`
`length`	`number`

Returns

Tensor

▸ narrow(dim, start, length): Tensor

Parameters

Name	Type
`dim`	`number`
`start`	Tensor
`length`	`number`

Returns

Tensor

narrowCopy

▸ narrowCopy(dim, start, length): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.narrow_copy.html

Parameters

Name	Type
`dim`	`number`
`start`	`number`
`length`	`number`

Returns

Tensor

ne

▸ ne(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ne.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ ne(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

neg

▸ neg(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.neg.html

Returns

Tensor

negative

▸ negative(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.negative.html

Returns

Tensor

nextafter

▸ nextafter(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.nextafter.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

nonzero

▸ nonzero(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.nonzero.html

Returns

Tensor

notEqual

▸ notEqual(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.not_equal.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ notEqual(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

numpyT

▸ numpyT(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.numpy_T.html

Returns

Tensor

orgqr

▸ orgqr(input2): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.orgqr.html

Parameters

Name	Type
`input2`	Tensor

Returns

Tensor

ormqr

▸ ormqr(input2, input3, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ormqr.html

Parameters

Name	Type
`input2`	Tensor
`input3`	Tensor
`options?`	`Object`
`options.left?`	`boolean`
`options.transpose?`	`boolean`

Returns

Tensor

outer

▸ outer(vec2): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.outer.html

Parameters

Name	Type
`vec2`	Tensor

Returns

Tensor

permute

▸ permute(dims): Tensor

Returns a view of the original tensor input with its dimensions permuted.

https://pytorch.org/docs/1.12/generated/torch.Tensor.permute.html

Parameters

Name	Type	Description
`dims`	`number`[]	The desired ordering of dimensions.

Returns

Tensor

positive

▸ positive(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.positive.html

Returns

Tensor

pow

▸ pow(exponent): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.pow.html

Parameters

Name	Type
`exponent`	Tensor

Returns

Tensor

▸ pow(exponent): Tensor

Parameters

Name	Type
`exponent`	`number`

Returns

Tensor

prelu

▸ prelu(weight): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.prelu.html

Parameters

Name	Type
`weight`	Tensor

Returns

Tensor

put

▸ put(index, source, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.put.html

Parameters

Name	Type
`index`	Tensor
`source`	Tensor
`options?`	`Object`
`options.accumulate?`	`boolean`

Returns

Tensor

qPerChannelScales

▸ qPerChannelScales(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.q_per_channel_scales.html

Returns

Tensor

qPerChannelZeroPoints

▸ qPerChannelZeroPoints(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.q_per_channel_zero_points.html

Returns

Tensor

qr

▸ qr(options?): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.qr.html

Parameters

Name	Type
`options?`	`Object`
`options.some?`	`boolean`

Returns

[Tensor, Tensor]

rad2deg

▸ rad2deg(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.rad2deg.html

Returns

Tensor

ravel

▸ ravel(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.ravel.html

Returns

Tensor

reciprocal

▸ reciprocal(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.reciprocal.html

Returns

Tensor

relu

▸ relu(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.relu.html

Returns

Tensor

remainder

▸ remainder(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.remainder.html

Parameters

Name	Type
`other`	`number`

Returns

Tensor

▸ remainder(other): Tensor

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

renorm

▸ renorm(p, dim, maxnorm): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.renorm.html

Parameters

Name	Type
`p`	`number`
`dim`	`number`
`maxnorm`	`number`

Returns

Tensor

repeat

▸ repeat(repeats): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.repeat.html

Parameters

Name	Type
`repeats`	`number`[]

Returns

Tensor

repeatInterleave

▸ repeatInterleave(repeats, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.repeat_interleave.html

Parameters

Name	Type
`repeats`	Tensor
`options?`	`Object`
`options.dim?`	`number`
`options.outputSize?`	`number`

Returns

Tensor

▸ repeatInterleave(repeats, options?): Tensor

Parameters

Name	Type
`repeats`	`number`
`options?`	`Object`
`options.dim?`	`number`
`options.outputSize?`	`number`

Returns

Tensor

reshape

▸ reshape(shape): Tensor

Returns a tensor with the same data and number of elements as input, but with the specified shape.

https://pytorch.org/docs/1.12/generated/torch.Tensor.reshape.html

Parameters

Name	Type	Description
`shape`	`number`[]	The new shape.

Returns

Tensor

reshapeAs

▸ reshapeAs(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.reshape_as.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

resolveConj

▸ resolveConj(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.resolve_conj.html

Returns

Tensor

resolveNeg

▸ resolveNeg(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.resolve_neg.html

Returns

Tensor

rowIndices

▸ rowIndices(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.row_indices.html

Returns

Tensor

rsqrt

▸ rsqrt(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.rsqrt.html

Returns

Tensor

selectScatter

▸ selectScatter(src, dim, index): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.select_scatter.html

Parameters

Name	Type
`src`	Tensor
`dim`	`number`
`index`	`number`

Returns

Tensor

sgn

▸ sgn(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sgn.html

Returns

Tensor

sigmoid

▸ sigmoid(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sigmoid.html

Returns

Tensor

sign

▸ sign(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sign.html

Returns

Tensor

signbit

▸ signbit(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.signbit.html

Returns

Tensor

sin

▸ sin(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sin.html

Returns

Tensor

sinc

▸ sinc(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sinc.html

Returns

Tensor

sinh

▸ sinh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sinh.html

Returns

Tensor

size

▸ size(): number[]

Returns the size of the tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.size.html

Returns

number[]

▸ size(): number[]

Returns the size of the tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.size.html

Returns

number[]

slice

▸ slice(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.slice.html

Parameters

Name	Type
`options?`	`Object`
`options.dim?`	`number`
`options.end?`	`number`
`options.start?`	`number`
`options.step?`	`number`

Returns

Tensor

sliceScatter

▸ sliceScatter(src, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.slice_scatter.html

Parameters

Name	Type
`src`	Tensor
`options?`	`Object`
`options.dim?`	`number`
`options.end?`	`number`
`options.start?`	`number`
`options.step?`	`number`

Returns

Tensor

slogdet

▸ slogdet(): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.slogdet.html

Returns

[Tensor, Tensor]

smm

▸ smm(mat2): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.smm.html

Parameters

Name	Type
`mat2`	Tensor

Returns

Tensor

softmax

▸ softmax(dim): Tensor

Applies a softmax function. It is applied to all slices along dim, and will re-scale them so that the elements lie in the range [0, 1] and sum to 1.

https://pytorch.org/docs/1.12/generated/torch.nn.functional.softmax.html

Parameters

Name	Type	Description
`dim`	`number`	A dimension along which softmax will be computed.

Returns

Tensor

sparseMask

▸ sparseMask(mask): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sparse_mask.html

Parameters

Name	Type
`mask`	Tensor

Returns

Tensor

sqrt

▸ sqrt(): Tensor

Computes the square-root value of each element in input.

https://pytorch.org/docs/1.12/generated/torch.Tensor.sqrt.html

Returns

Tensor

square

▸ square(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.square.html

Returns

Tensor

squeeze

▸ squeeze(dim?): Tensor

Returns a tensor with all the dimensions of input of size 1 removed.

https://pytorch.org/docs/1.12/generated/torch.Tensor.squeeze.html

Parameters

Name	Type	Description
`dim?`	`number`	If given, the input will be squeezed only in this dimension.

Returns

Tensor

sspaddmm

▸ sspaddmm(mat1, mat2, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sspaddmm.html

Parameters

Name	Type
`mat1`	Tensor
`mat2`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`
`options.beta?`	`Number`

Returns

Tensor

stride

▸ stride(): number[]

Returns the stride of the tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.stride.html

Returns

number[]

▸ stride(dim): number

Returns the stride of the tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.stride.html

Parameters

Name	Type	Description
`dim`	`number`	The desired dimension in which stride is required.

Returns

number

sub

▸ sub(other, options?): Tensor

Subtracts other from input.

https://pytorch.org/docs/1.12/generated/torch.Tensor.sub.html

Parameters

Name	Type	Description
`other`	`number` \| Tensor	The scalar or tensor to subtract from input.
`options?`	`Object`	-
`options.alpha?`	`Number`	The multiplier for `other`. Default: `1`.

Returns

Tensor

subtract

▸ subtract(other, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.subtract.html

Parameters

Name	Type
`other`	Tensor
`options?`	`Object`
`options.alpha?`	`Number`

Returns

Tensor

▸ subtract(other, options?): Tensor

Parameters

Name	Type
`other`	`number`
`options?`	`Object`
`options.alpha?`	`Number`

Returns

Tensor

sum

▸ sum(): Tensor

Returns the sum of all elements in the input tensor.

https://pytorch.org/docs/1.12/generated/torch.Tensor.sum.html

Returns

Tensor

▸ sum(dim, options?): Tensor

Returns the sum of each row of the input tensor in the given dimension dim. If dim is a list of dimensions, reduce over all of them.

https://pytorch.org/docs/1.12/generated/torch.Tensor.sum.html

Parameters

Name	Type	Description
`dim`	`number` \| `number`[]	The dimension or dimensions to reduce.
`options?`	`Object`	-
`options.keepdim?`	`boolean`	Whether the output tensor has `dim` retained or not.

Returns

Tensor

sumToSize

▸ sumToSize(size): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.sum_to_size.html

Parameters

Name	Type
`size`	`number`[]

Returns

Tensor

swapaxes

▸ swapaxes(axis0, axis1): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.swapaxes.html

Parameters

Name	Type
`axis0`	`number`
`axis1`	`number`

Returns

Tensor

swapdims

▸ swapdims(dim0, dim1): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.swapdims.html

Parameters

Name	Type
`dim0`	`number`
`dim1`	`number`

Returns

Tensor

symeig

▸ symeig(options?): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.symeig.html

Parameters

Name	Type
`options?`	`Object`
`options.eigenvectors?`	`boolean`
`options.upper?`	`boolean`

Returns

[Tensor, Tensor]

t

▸ t(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.t.html

Returns

Tensor

take

▸ take(index): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.take.html

Parameters

Name	Type
`index`	Tensor

Returns

Tensor

takeAlongDim

▸ takeAlongDim(indices, options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.take_along_dim.html

Parameters

Name	Type
`indices`	Tensor
`options?`	`Object`
`options.dim?`	`number`

Returns

Tensor

tan

▸ tan(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.tan.html

Returns

Tensor

tanh

▸ tanh(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.tanh.html

Returns

Tensor

tile

▸ tile(dims): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.tile.html

Parameters

Name	Type
`dims`	`number`[]

Returns

Tensor

to

▸ to(options): Tensor

Performs Tensor conversion.

https://pytorch.org/docs/1.12/generated/torch.Tensor.to.html

Parameters

Name	Type	Description
`options`	TensorOptions	Tensor options.

Returns

Tensor

toSparse

▸ toSparse(sparseDim): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.to_sparse.html

Parameters

Name	Type
`sparseDim`	`number`

Returns

Tensor

▸ toSparse(): Tensor

Returns

Tensor

toSparseBsc

▸ toSparseBsc(blocksize): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.to_sparse_bsc.html

Parameters

Name	Type
`blocksize`	`number`[]

Returns

Tensor

toSparseBsr

▸ toSparseBsr(blocksize): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.to_sparse_bsr.html

Parameters

Name	Type
`blocksize`	`number`[]

Returns

Tensor

toSparseCsc

▸ toSparseCsc(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.to_sparse_csc.html

Returns

Tensor

toSparseCsr

▸ toSparseCsr(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.to_sparse_csr.html

Returns

Tensor

topk

▸ topk(k, options?): [Tensor, Tensor]

Returns a list of two Tensors where the first represents the k largest elements of the given input tensor, and the second represents the indices of the k largest elements.

https://pytorch.org/docs/1.12/generated/torch.Tensor.topk.html

Parameters

Name	Type	Description
`k`	`number`	The k in "top-k"
`options?`	`Object`	topk Options as keywords argument in pytorch
`options.dim?`	`number`	The dimension to sort along. If dim is not given, the last dimension of the input is chosen.
`options.largest?`	`boolean`	Controls whether to return largest or smallest elements. It is set to True by default.
`options.sorted?`	`boolean`	Controls whether to return the elements in sorted order. It is set to True by default.

Returns

[Tensor, Tensor]

trace

▸ trace(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.trace.html

Returns

Tensor

triangularSolve

▸ triangularSolve(A, options?): [Tensor, Tensor]

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.triangular_solve.html

Parameters

Name	Type
`A`	Tensor
`options?`	`Object`
`options.transpose?`	`boolean`
`options.unitriangular?`	`boolean`
`options.upper?`	`boolean`

Returns

[Tensor, Tensor]

tril

▸ tril(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.tril.html

Parameters

Name	Type
`options?`	`Object`
`options.diagonal?`	`number`

Returns

Tensor

triu

▸ triu(options?): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.triu.html

Parameters

Name	Type
`options?`	`Object`
`options.diagonal?`	`number`

Returns

Tensor

trueDivide

▸ trueDivide(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.true_divide.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ trueDivide(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

trunc

▸ trunc(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.trunc.html

Returns

Tensor

typeAs

▸ typeAs(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.type_as.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

unfold

▸ unfold(dimension, size, step): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.unfold.html

Parameters

Name	Type
`dimension`	`number`
`size`	`number`
`step`	`number`

Returns

Tensor

unsqueeze

▸ unsqueeze(dim): Tensor

Returns a new tensor with a dimension of size one inserted at the specified position.

https://pytorch.org/docs/1.12/generated/torch.Tensor.unsqueeze.html

Parameters

Name	Type	Description
`dim`	`number`	The index at which to insert the singleton dimension.

Returns

Tensor

values

▸ values(): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.values.html

Returns

Tensor

vdot

▸ vdot(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.vdot.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

viewAs

▸ viewAs(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.view_as.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

xlogy

▸ xlogy(other): Tensor

experimental

https://pytorch.org/docs/1.12/generated/torch.Tensor.xlogy.html

Parameters

Name	Type
`other`	Tensor

Returns

Tensor

▸ xlogy(other): Tensor

Parameters

Name	Type
`other`	`number`

Returns

Tensor

Indexable​

Properties​

dtype​

shape​

Methods​

_And_​

Parameters​

Returns​

Parameters​

Returns​

_Lshift_​

Parameters​

Returns​

Parameters​

Returns​

_Or_​

Parameters​

Returns​

Parameters​

Returns​

_Rshift_​

Parameters​

Returns​

Parameters​

Returns​

_Xor_​

Parameters​

Returns​

Parameters​

Returns​

_addmmActivation​

Parameters​

Returns​

_conj​

Returns​

_conjPhysical​

Returns​

_fwPrimal​

Parameters​

Returns​

_indices​

Returns​

_negView​

Returns​

_nestedTensorSize​

Returns​

_nestedTensorStrides​

Returns​

_reshapeAlias​

Parameters​

Returns​

_values​

Returns​

abs​

Returns​

absolute​

Returns​

acos​

Returns​

acosh​

Returns​

add​

Parameters​

Returns​

addbmm​

Parameters​

Returns​

addcdiv​

Parameters​

Returns​

addcmul​

Parameters​

Returns​

addmm​

Parameters​

Returns​

addmv​

Parameters​

Returns​

addr​

Indexable

Properties

dtype

shape

Methods

_And_

Parameters

Returns

Parameters

Returns

_Lshift_

Parameters

Returns

Parameters

Returns

_Or_

Parameters

Returns

Parameters

Returns

_Rshift_

Parameters

Returns

Parameters

Returns

_Xor_

Parameters

Returns

Parameters

Returns

_addmmActivation

Parameters

Returns

_conj

Returns

_conjPhysical

Returns

_fwPrimal

Parameters

Returns

_indices

Returns

_negView

Returns

_nestedTensorSize

Returns

_nestedTensorStrides

Returns

_reshapeAlias

Parameters

Returns

_values

Returns

abs

Returns

absolute

Returns

acos

Returns

acosh

Returns

add

Parameters

Returns

addbmm

Parameters

Returns

addcdiv

Parameters

Returns

addcmul

Parameters

Returns

addmm

Parameters

Returns

addmv

Parameters

Returns

addr