Module `Owl_base_dense_ndarray_d`

type arr = (float, Bigarray.float64_elt, Bigarray.c_layout) Bigarray.Genarray.t

type elt = float

val number : Owl_types_common.number

val empty : int array -> arr

val zeros : int array -> arr

val ones : int array -> arr

val eye : int -> arr

val create : int array -> elt -> arr

val init : int array -> (int -> elt) -> arr

val init_nd : int array -> (int array -> elt) -> arr

val sequential : ?a:elt -> ?step:elt -> int array -> arr

val uniform : ?a:elt -> ?b:elt -> int array -> arr

val gaussian : ?mu:elt -> ?sigma:elt -> int array -> arr

val bernoulli : ?p:float -> int array -> arr

val shape : arr -> int array

val numel : arr -> int

val strides : arr -> int array

Refer to :doc:`owl_dense_ndarray_generic`

val slice_size : arr -> int array

Refer to :doc:`owl_dense_ndarray_generic`

val get : arr -> int array -> elt

val set : arr -> int array -> elt -> unit

val get_slice : int list list -> arr -> arr

val set_slice : int list list -> arr -> arr -> unit

val copy : arr -> arr

val copy_ : out:arr -> arr -> unit

val reset : arr -> unit

val reshape : arr -> int array -> arr

val flatten : arr -> arr

val reverse : arr -> arr

val tile : arr -> int array -> arr

val repeat : arr -> int array -> arr

val concatenate : ?axis:int -> arr array -> arr

val squeeze : ?axis:int array -> arr -> arr

val expand : ?hi:bool -> arr -> int -> arr

val split : ?axis:int -> int array -> arr -> arr array

val draw : ?axis:int -> arr -> int -> arr * int array

val pad : ?v:elt -> int list list -> arr -> arr

val one_hot : int -> arr -> arr

val print : 
  ?max_row:int ->
  ?max_col:int ->
  ?header:bool ->
  ?fmt:(elt -> string) ->
  arr ->
  unit

val abs : arr -> arr

val neg : arr -> arr

val floor : arr -> arr

val ceil : arr -> arr

val round : arr -> arr

val sqr : arr -> arr

val sqrt : arr -> arr

val log : arr -> arr

val log2 : arr -> arr

val log10 : arr -> arr

val exp : arr -> arr

val sin : arr -> arr

val cos : arr -> arr

val tan : arr -> arr

val sinh : arr -> arr

val cosh : arr -> arr

val tanh : arr -> arr

val asin : arr -> arr

val acos : arr -> arr

val atan : arr -> arr

val asinh : arr -> arr

val acosh : arr -> arr

val atanh : arr -> arr

val min : ?axis:int -> arr -> arr

val max : ?axis:int -> arr -> arr

val sum : ?axis:int -> arr -> arr

val sum_slices : ?axis:int -> arr -> arr

val sum_reduce : ?axis:int array -> arr -> arr

val signum : arr -> arr

val sigmoid : arr -> arr

val relu : arr -> arr

val min' : arr -> elt

val max' : arr -> elt

val sum' : arr -> elt

val l1norm' : arr -> elt

val l2norm' : arr -> elt

val l2norm_sqr' : arr -> elt

val clip_by_value : ?amin:elt -> ?amax:elt -> arr -> arr

val clip_by_l2norm : elt -> arr -> arr

val pow : arr -> arr -> arr

val scalar_pow : elt -> arr -> arr

val pow_scalar : arr -> elt -> arr

val atan2 : arr -> arr -> arr

val scalar_atan2 : elt -> arr -> arr

val atan2_scalar : arr -> elt -> arr

val add : arr -> arr -> arr

val sub : arr -> arr -> arr

val mul : arr -> arr -> arr

val div : arr -> arr -> arr

val add_scalar : arr -> elt -> arr

val sub_scalar : arr -> elt -> arr

val mul_scalar : arr -> elt -> arr

val div_scalar : arr -> elt -> arr

val scalar_add : elt -> arr -> arr

val scalar_sub : elt -> arr -> arr

val scalar_mul : elt -> arr -> arr

val scalar_div : elt -> arr -> arr

val fma : arr -> arr -> arr -> arr

Iterate array elements

val iteri : (int -> elt -> unit) -> arr -> unit

val iter : (elt -> unit) -> arr -> unit

val mapi : (int -> elt -> elt) -> arr -> arr

val map : (elt -> elt) -> arr -> arr

val filteri : (int -> elt -> bool) -> arr -> int array

val filter : (elt -> bool) -> arr -> int array

val foldi : ?axis:int -> (int -> elt -> elt -> elt) -> elt -> arr -> arr

val fold : ?axis:int -> (elt -> elt -> elt) -> elt -> arr -> arr

val scani : ?axis:int -> (int -> elt -> elt -> elt) -> arr -> arr

val scan : ?axis:int -> (elt -> elt -> elt) -> arr -> arr

Examination & Comparison

val exists : (elt -> bool) -> arr -> bool

val not_exists : (elt -> bool) -> arr -> bool

val for_all : (elt -> bool) -> arr -> bool

val is_zero : arr -> bool

val is_positive : arr -> bool

val is_negative : arr -> bool

val is_nonpositive : arr -> bool

val is_nonnegative : arr -> bool

val is_normal : arr -> bool

val not_nan : arr -> bool

val not_inf : arr -> bool

val equal : arr -> arr -> bool

val not_equal : arr -> arr -> bool

val greater : arr -> arr -> bool

val less : arr -> arr -> bool

val greater_equal : arr -> arr -> bool

val less_equal : arr -> arr -> bool

val elt_equal : arr -> arr -> arr

val elt_not_equal : arr -> arr -> arr

val elt_less : arr -> arr -> arr

val elt_greater : arr -> arr -> arr

val elt_less_equal : arr -> arr -> arr

val elt_greater_equal : arr -> arr -> arr

val equal_scalar : arr -> elt -> bool

val not_equal_scalar : arr -> elt -> bool

val less_scalar : arr -> elt -> bool

val greater_scalar : arr -> elt -> bool

val less_equal_scalar : arr -> elt -> bool

val greater_equal_scalar : arr -> elt -> bool

val elt_equal_scalar : arr -> elt -> arr

val elt_not_equal_scalar : arr -> elt -> arr

val elt_less_scalar : arr -> elt -> arr

val elt_greater_scalar : arr -> elt -> arr

val elt_less_equal_scalar : arr -> elt -> arr

val elt_greater_equal_scalar : arr -> elt -> arr

val approx_equal : ?eps:float -> arr -> arr -> bool

val approx_equal_scalar : ?eps:float -> arr -> float -> bool

val approx_elt_equal : ?eps:float -> arr -> arr -> arr

val approx_elt_equal_scalar : ?eps:float -> arr -> float -> arr

val conv1d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  arr

val conv2d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  arr

val conv3d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  arr

val dilated_conv1d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  int array ->
  arr

val dilated_conv2d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  int array ->
  arr

val dilated_conv3d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  int array ->
  arr

val transpose_conv1d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  arr

val transpose_conv2d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  arr

val transpose_conv3d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  arr ->
  int array ->
  arr

val max_pool1d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr

val max_pool2d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr

val max_pool3d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr

val avg_pool1d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr

val avg_pool2d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr

val avg_pool3d : 
  ?padding:Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr

val upsampling2d : arr -> int array -> arr

val conv1d_backward_input : arr -> arr -> int array -> arr -> arr

val conv1d_backward_kernel : arr -> arr -> int array -> arr -> arr

val conv2d_backward_input : arr -> arr -> int array -> arr -> arr

val conv2d_backward_kernel : arr -> arr -> int array -> arr -> arr

val conv3d_backward_input : arr -> arr -> int array -> arr -> arr

val conv3d_backward_kernel : arr -> arr -> int array -> arr -> arr

val dilated_conv1d_backward_input : 
  arr ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val dilated_conv1d_backward_kernel : 
  arr ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val dilated_conv2d_backward_input : 
  arr ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val dilated_conv2d_backward_kernel : 
  arr ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val dilated_conv3d_backward_input : 
  arr ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val dilated_conv3d_backward_kernel : 
  arr ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val transpose_conv1d_backward_input : arr -> arr -> int array -> arr -> arr

val transpose_conv1d_backward_kernel : arr -> arr -> int array -> arr -> arr

val transpose_conv2d_backward_input : arr -> arr -> int array -> arr -> arr

val transpose_conv2d_backward_kernel : arr -> arr -> int array -> arr -> arr

val transpose_conv3d_backward_input : arr -> arr -> int array -> arr -> arr

val transpose_conv3d_backward_kernel : arr -> arr -> int array -> arr -> arr

val max_pool1d_backward : 
  Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val max_pool2d_backward : 
  Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val max_pool3d_backward : 
  Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val avg_pool1d_backward : 
  Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val avg_pool2d_backward : 
  Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val avg_pool3d_backward : 
  Owl_types_common.padding ->
  arr ->
  int array ->
  int array ->
  arr ->
  arr

val upsampling2d_backward : arr -> int array -> arr -> arr

val row_num : arr -> int

val col_num : arr -> int

val row : arr -> int -> arr

val rows : arr -> int array -> arr

val copy_row_to : arr -> arr -> int -> unit

val copy_col_to : arr -> arr -> int -> unit

val dot : arr -> arr -> arr

val inv : arr -> arr

val logdet : arr -> elt

val svd : ?thin:bool -> arr -> arr * arr * arr

val qr : arr -> arr * arr

val lq : arr -> arr * arr

val chol : ?upper:bool -> arr -> arr

val sylvester : arr -> arr -> arr -> arr

val lyapunov : arr -> arr -> arr

val discrete_lyapunov : 
  ?solver:[ `default | `direct | `bilinear ] ->
  arr ->
  arr ->
  arr

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

val care : ?diag_r:bool -> arr -> arr -> arr -> arr -> arr

val diag : ?k:int -> arr -> arr

val diagm : ?k:int -> arr -> arr

val triu : ?k:int -> arr -> arr

val tril : ?k:int -> arr -> arr

val trace : arr -> elt

val transpose : ?axis:int array -> arr -> arr

val to_rows : arr -> arr array

val of_rows : arr array -> arr

val to_cols : arr -> arr array

val of_cols : arr array -> arr

val of_array : elt array -> int array -> arr

val of_arrays : elt array array -> arr

Helper functions

val float_to_elt : float -> elt

val elt_to_float : elt -> float

Install

Dune Dependency

Authors

Maintainers

Sources

doc/owl-base/Owl_base_dense_ndarray_d/index.html

Module `Owl_base_dense_ndarray_d`

Iterate array elements

Examination & Comparison

Helper functions

package owl-base

Install

Dune Dependency

Authors

Maintainers

Sources

doc/owl-base/Owl_base_dense_ndarray_d/index.html

Module Owl_base_dense_ndarray_d

Iterate array elements

Examination & Comparison

Helper functions

Module `Owl_base_dense_ndarray_d`