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Tensor
Class Tensor
Hierarchy (
View Summary
)
Tensor
Parameter
Index
Constructors
constructor
Properties
_
shape
data
grad
operation
requires_
grad
Accessors
shape
Methods
abs
add
backward
cos
data
Length
detach
detach_
div
eq
exp
fmod
ge
gt
item
le
log
lt
matmul
maximum
mean
minimum
mul
ne
neg
pow
reciprocal
reshape
sign
sin
sqrt
square
sub
sum
tan
to
Array
to
Array_
transpose
unsqueeze
zero_
Constructors
constructor
new
Tensor
(
data
:
NestedNumberArray
,
options
?:
{
requires_grad
?:
boolean
}
,
internal_options
?:
{
operation
?:
Operation
;
shape
?:
number
[]
}
,
)
:
Tensor
Parameters
data
:
NestedNumberArray
options
:
{
requires_grad
?:
boolean
}
= {}
internal_options
:
{
operation
?:
Operation
;
shape
?:
number
[]
}
= {}
Returns
Tensor
Properties
_
shape
_shape
:
number
[]
data
data
:
number
[]
grad
grad
:
Tensor
= null
operation
operation
:
Operation
= null
requires_
grad
requires_grad
:
boolean
Accessors
shape
get
shape
()
:
number
[]
Returns
number
[]
set
shape
(
shape
:
number
[]
)
:
void
Parameters
shape
:
number
[]
Returns
void
Methods
abs
abs
()
:
Tensor
Returns
Tensor
add
add
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
backward
backward
(
grad
?:
Tensor
)
:
void
Parameters
Optional
grad
:
Tensor
Returns
void
cos
cos
()
:
Tensor
Returns
Tensor
data
Length
dataLength
()
:
number
Returns
number
detach
detach
()
:
Tensor
Returns
Tensor
detach_
detach_
()
:
void
Returns
void
div
div
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
eq
eq
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
exp
exp
()
:
Tensor
Returns
Tensor
fmod
fmod
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
ge
ge
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
gt
gt
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
item
item
()
:
number
Returns
number
le
le
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
log
log
()
:
Tensor
Returns
Tensor
lt
lt
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
matmul
matmul
(
other
:
Tensor
)
:
Tensor
Parameters
other
:
Tensor
Returns
Tensor
maximum
maximum
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
mean
mean
()
:
Tensor
Returns
Tensor
minimum
minimum
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
mul
mul
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
ne
ne
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
neg
neg
()
:
Tensor
Returns
Tensor
pow
pow
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
reciprocal
reciprocal
()
:
Tensor
Returns
Tensor
reshape
reshape
(
shape
:
number
[]
)
:
Tensor
Parameters
shape
:
number
[]
Returns
Tensor
sign
sign
()
:
Tensor
Returns
Tensor
sin
sin
()
:
Tensor
Returns
Tensor
sqrt
sqrt
()
:
Tensor
Returns
Tensor
square
square
()
:
Tensor
Returns
Tensor
sub
sub
(
other
:
number
|
Tensor
)
:
Tensor
Parameters
other
:
number
|
Tensor
Returns
Tensor
sum
sum
()
:
Tensor
Returns
Tensor
tan
tan
()
:
Tensor
Returns
Tensor
to
Array
toArray
()
:
number
[]
Returns
number
[]
to
Array_
toArray_
()
:
void
Returns
void
transpose
transpose
(
dim0
:
number
,
dim1
:
number
)
:
Tensor
Parameters
dim0
:
number
dim1
:
number
Returns
Tensor
unsqueeze
unsqueeze
(
dim
:
number
)
:
Tensor
Parameters
dim
:
number
Returns
Tensor
zero_
zero_
()
:
void
Returns
void
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Constructors
constructor
Properties
_
shape
data
grad
operation
requires_
grad
Accessors
shape
Methods
abs
add
backward
cos
data
Length
detach
detach_
div
eq
exp
fmod
ge
gt
item
le
log
lt
matmul
maximum
mean
minimum
mul
ne
neg
pow
reciprocal
reshape
sign
sin
sqrt
square
sub
sum
tan
to
Array
to
Array_
transpose
unsqueeze
zero_
torch
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