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webgpu-torch
webgpu-torch
GradientFunctionOutput
Type alias GradientFunctionOutput
Gradient
Function
Output
:
Tensor
|
null
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webgpu-
torch
init
Linear
Function
Nonlinear
Function
calculate
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Out
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Container
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Conv
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Group
Norm
Linear
Module
Module
List
Parameter
ReLU
Sequential
SiLU
Sigmoid
Tanh
State
Dict
Device
Gradient
Context
Kernel
Tensor
Untyped
Storage
Kernel
Config
Spec
Kernel
Input
Spec
Kernel
Output
Spec
Kernel
Param
Spec
Kernel
Spec
Strided
Shape
ATyped
Array
Compiled
Expr
Device
Id
Device
Type
Deviceish
Dtype
Eval
Env
Expr
Code
Function
Input
Gradient
Function
Gradient
Function
Output
Kernel
Config
Kernel
Config
Input
Kernel
Key
Kernel
Params
Input
Memory
Format
Op
Spec
Op
Type
Shader
Type
Shape
Shapeish
Strides
Tensor
Array
Data
Tensor
Data
Tensor
Spec
abs
absolute
acos
acosh
add
all
any
arccos
arccosh
arcsin
arcsinh
arctan
arctan2
asin
asinh
atan
atan2
broadcast
Batched
Matmul
broadcast
Shapes
canonicalize
Dim
cat
ceil
check
clone
contiguous
Strided
Shape
conv2d
copysign
cos
cosh
count
Nonzero
default
Strides
deg2rad
div
divide
empty
exp
exp2
expm1
fix
flatten
floor
frac
gather
get
Shape
has
WebGPU
hypot
init
WebGPUAsync
ldexp
linear
log
log10
log1p
log2
logaddexp
logaddexp2
matmul
mean
mm
mul
multiply
neg
negative
norm
numel
ones
positive
pow
prod
rad2deg
reciprocal
relu
reshape
reshape
Batched
Matmul
round
rsqrt
save
Safetensors
Async
shape
Size
shapes
Are
Equal
sigmoid
sign
silu
sin
sinc
sinh
sqrt
square
squeeze
strided
Shape
Is
Contiguous
sub
subtract
sum
t
tan
tanh
tensor
trunc
unsqueeze
validate
Dim
Length
validate
Idx
view
xlogy
zeros
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