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clj-djl.ndarray

*

(* array0 array1)
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*!

(*! array0 array1)
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**

(** array0 array1)
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+

(+ array0 array1)
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+!

(+! array0 array1)
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-

(- array0)(- array0 array1)
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-!

(-! array0)(-! array0 array1)

substract element wise in place

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/

(/ array0 array1)
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<

(< array0 param1)
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<=

(<= array0 param1)
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=

(= array0 array1)
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>

(> array0 param1)
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>=

(>= array0 param1)
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abs

(abs ndarray)

Returns the absolute value of this NDArray element-wise

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acos

(acos ndarray)

Returns the inverse trigonometric cosine of this NDArray element-wise.

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all-close

(all-close array0 array1)(all-close array0 array1 rtol atol equal-nan)
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arange

multimethod

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argmax

(argmax ndarray)(argmax ndarray axis)
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argmin

(argmin ndarray)(argmin ndarray axis)
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argsort

(argsort ndarray)(argsort ndarray axis)(argsort ndarray axis ascending)
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base-manager

(base-manager)
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concat

multimethod

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copy

(copy ndarray)
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create

multimethod

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create-csr

(create-csr manager data indptr indices shape- & device)
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create-row-sparse

(create-row-sparse manager data datashape indices shape- & device)
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cumsum

(cumsum array)(cumsum array axis)
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datatype

(datatype datatype-)
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div

(div array0 array1)
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dot

(dot array0 array1)
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dup

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duplicate

(duplicate ndarray)
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exp

(exp array0)
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expand-dims

(expand-dims ndarray axis)
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eye

(eye manager rows)(eye manager rows k)(eye manager rows cols k)(eye manager rows cols k datatype-)(eye manager rows cols k datatype- device)
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flatten

(flatten ndarray)
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float-or-int

(float-or-int n)
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full

(full manager shape- data)(full manager shape- data datatype-)(full manager shape- data datatype- device)
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get

multimethod

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get-device

(get-device ndarray)
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get-element

(get-element array)(get-element array index)

get the wrap value of NDArray

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get-gradient

(get-gradient ndarray)

Returns the gradient NDArray attached to this NDArray.

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get-shape

(get-shape ndarray)
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head

(head ndlist)
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index

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is-sparse

(is-sparse ndarray)
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linspace

(linspace manager start stop n)(linspace manager start stop n endpoint)(linspace manager start stop n endpoint device)
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log

(log ndarray)
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log-softmax

(log-softmax ndarray axis)
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log10

(log10 ndarray)
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max

(max ndarray & [axes keep-dims])
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mean

(mean ndarray & [axes keep-dims])
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min

(min ndarray & [axes keep-dims])
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mul

(mul array0 array1)
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muli

(muli array0 array1)
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ndindex

(ndindex)(ndindex param1 & more)
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ndlist

multimethod

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new-base-manager

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new-ndindex

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new-ndlist

multimethod

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new-shape

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norm

(norm ndarray)
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ones

(ones manager shape-)(ones manager shape- datatype-)(ones manager shape- datatype- device)
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ones-like

(ones-like ndarray)
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pow

(pow array0 array1)
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pp

(pp array)
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prod

(prod ndarray & [axes keep-dims])
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random-multinomial

(random-multinomial ndmanager n ndarray)(random-multinomial ndmanager n ndarray shape-)

Draw samples from a multinomial distribution.

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random-normal

(random-normal manager shape-)(random-normal manager loc scale shape-)(random-normal manager loc scale shape- datatype-)(random-normal manager loc scale shape- datatype- device)
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random-uniform

(random-uniform manager low high shape-)(random-uniform manager low high shape- datatype-)(random-uniform manager low high shape- datatype- device)
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reshape

(reshape ndarray)(reshape ndarray param1 & more)
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scalar?

(scalar? ndarray)
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set

(set array data)(set array index val-or-fun)
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set-requires-gradient

(set-requires-gradient ndarray requires-grad)

Attaches a gradient NDArray to this NDArray and marks it so GradientCollector.backward(NDArray) can compute the gradient with respect to it.

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set-scalar

(set-scalar ndarray ndindex value)
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shape

(shape)(shape param1 & more)

Create a shape instance.

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singleton-or-throw

(singleton-or-throw ndlist)
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size

(size ndarray)(size ndarray axis)

calc the seize of a ndarray.

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sort

(sort ndarray)(sort ndarray axis)
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sparse?

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split

(split ndarray index-section & [axis])
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sqrt

(sqrt ndarray)
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squeeze

(squeeze ndarray & [axis])
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stack

multimethod

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sum

(sum array)(sum array axes)(sum array axes keep-dims)
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t

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to-array

(to-array ndarray-or-shape)
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to-type

(to-type ndarray datatype- copy)

convert ndarray to data-type, available options are: “int8” “uint8” “int32” “int64” “float16” “float32” “float64” “boolean” “string” “unknown”

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to-vec

(to-vec ndarray-or-shape)
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trace

(trace ndarray offset axis1 axis2)(trace ndarray offset)(trace ndarray)
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transpose

(transpose ndarray)(transpose ndarray axis & [more])
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zeros

(zeros manager shape-)(zeros manager shape- datatype-)(zeros manager shape- datatype- device)
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zeros-like

(zeros-like ndarray)
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