package owl-base

  1. Overview
  2. Docs
package owl-base
Legend:
Library
Module
Module type
Parameter
Class
Class type
Vectorised functions

TODO

val empty : int array -> Symbol.Shape.Type.arr

TODO

val zeros : int array -> Symbol.Shape.Type.arr

TODO

val ones : int array -> Symbol.Shape.Type.arr

TODO

val eye : int -> Symbol.Shape.Type.arr

TODO

val create : int array -> Symbol.Shape.Type.elt -> Symbol.Shape.Type.arr

TODO

val sequential : ?a:Symbol.Shape.Type.elt -> ?step:Symbol.Shape.Type.elt -> int array -> Symbol.Shape.Type.arr

TODO

TODO

val gaussian : ?mu:Symbol.Shape.Type.elt -> ?sigma:Symbol.Shape.Type.elt -> int array -> Symbol.Shape.Type.arr

TODO

val bernoulli : ?p:Symbol.Shape.Type.elt -> int array -> Symbol.Shape.Type.arr

TODO

val init : int array -> (int -> Symbol.Shape.Type.elt) -> Symbol.Shape.Type.arr

TODO

val init_nd : int array -> (int array -> Symbol.Shape.Type.elt) -> Symbol.Shape.Type.arr

TODO

val shape : Symbol.Shape.Type.arr -> int array

TODO

val numel : Symbol.Shape.Type.arr -> int

TODO

TODO

val set : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.elt -> unit

TODO

val get_slice : int list list -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val set_slice : int list list -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> unit

TODO

TODO

val copy_ : out:'a -> 'b -> 'c

TODO

val reset : Symbol.Shape.Type.arr -> unit

TODO

val reshape : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

TODO

val tile : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

val repeat : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

TODO

val concatenate : ?axis:int -> Symbol.Shape.Type.arr array -> Symbol.Shape.Type.arr

TODO

val split : ?axis:int -> 'a -> 'b -> 'c

TODO

val draw : ?axis:int -> Symbol.Shape.Type.arr -> int -> Symbol.Shape.Type.arr * 'a array

TODO

TODO

TODO

TODO

TODO

``delay f x`` returns ``f x``. It allows to use a function that is not tracked by the computation graph and delay its evaluation. The output must have the same shape as the input.

``delay_array out_shape f x`` works in the same way as ``delay`` but is applied on an array of ndarrays. Needs the shape of the output as an argument.

val lazy_print : ?max_row:int -> ?max_col:int -> ?header:bool -> ?fmt:(Symbol.Shape.Type.Device.A.elt -> string) -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

``lazy_print x`` prints the output of ``x`` when it is evaluated. Is implemented as an identity node. For information about the optional parameters, refer to the ``print`` function of the ``Ndarray`` module.

val print : ?max_row:'a -> ?max_col:'b -> ?header:'c -> ?fmt:'d -> 'e -> unit

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

val sum_reduce : ?axis:int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

TODO

val transpose_conv1d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

val transpose_conv2d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

val transpose_conv3d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

val dilated_conv1d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val dilated_conv2d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val dilated_conv3d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val max_pool1d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val max_pool2d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val max_pool3d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val avg_pool1d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val avg_pool2d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val avg_pool3d : ?padding:Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr

TODO

val upsampling2d : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

TODO

TODO

TODO

TODO

TODO

TODO

val transpose_conv1d_backward_input : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val transpose_conv1d_backward_kernel : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val transpose_conv2d_backward_input : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val transpose_conv2d_backward_kernel : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val transpose_conv3d_backward_input : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val transpose_conv3d_backward_kernel : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val dilated_conv1d_backward_input : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val dilated_conv1d_backward_kernel : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val dilated_conv2d_backward_input : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val dilated_conv2d_backward_kernel : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val dilated_conv3d_backward_input : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val dilated_conv3d_backward_kernel : Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val max_pool1d_backward : Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val max_pool2d_backward : Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val max_pool3d_backward : Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val avg_pool1d_backward : Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val avg_pool2d_backward : Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val avg_pool3d_backward : Owl_types.padding -> Symbol.Shape.Type.arr -> int array -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val upsampling2d_backward : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val row_num : Symbol.Shape.Type.arr -> int

TODO

val col_num : Symbol.Shape.Type.arr -> int

TODO

TODO

val rows : Symbol.Shape.Type.arr -> int array -> Symbol.Shape.Type.arr

TODO

val copy_row_to : Symbol.Shape.Type.arr -> 'a -> 'b -> unit

TODO

val copy_col_to : Symbol.Shape.Type.arr -> 'a -> 'b -> unit

TODO

TODO

TODO

val chol : ?upper:bool -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

TODO

TODO

TODO

TODO

val discrete_lyapunov : ?solver:[ `default | `bilinear | `direct ] -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val linsolve : ?trans:bool -> ?typ:[ `n | `u | `l ] -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

TODO

TODO

TODO

TODO

TODO

TODO

val transpose : ?axis:int array -> Symbol.Shape.Type.arr -> Symbol.Shape.Type.arr

TODO

val to_rows : Symbol.Shape.Type.arr -> 'a array

TODO

TODO

val to_cols : Symbol.Shape.Type.arr -> 'a array

TODO

TODO

val of_array : Symbol.Shape.Type.elt array -> int array -> Symbol.Shape.Type.arr

TODO

val of_arrays : Symbol.Shape.Type.elt array array -> Symbol.Shape.Type.arr

TODO

val to_arrays : Symbol.Shape.Type.arr -> Symbol.Shape.Type.elt array array

TODO

Scalar functions
module Scalar : sig ... end
OCaml

Innovation. Community. Security.

GitHub Discord Twitter Peertube RSS
About
Changelog Releases Industrial Users Academic Users Why OCaml
Ecosystem
Packages Community Events OCaml Planet Jobs
Resources
Install OCaml Get Started Platform Tools Language Manual Standard Library API Books Exercises Papers OCaml Playground Logo
Policies
Carbon Footprint Governance Privacy Code of Conduct