package owl

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package owl
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type arr = Owl_neural_generic.Make_Embedded(Owl_algodiff_primal_ops.D).Neuron.Optimise.Algodiff.A.arr
type elt = Owl_neural_generic.Make_Embedded(Owl_algodiff_primal_ops.D).Neuron.Optimise.Algodiff.A.elt
val number : Owl_types_common.number
val empty : int array -> arr
val zeros : int array -> arr
val ones : int array -> arr
val create : 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:elt -> int array -> arr
val init : int array -> (int -> elt) -> arr
val init_nd : int array -> (int array -> elt) -> arr
val shape : arr -> int array
val numel : arr -> int
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 reverse : arr -> arr
val tile : arr -> int array -> arr
val repeat : arr -> int array -> arr
val concatenate : ?axis:int -> arr array -> arr
val stack : ?axis:int -> arr array -> arr
val split : ?axis:int -> int array -> arr -> arr array
val expand : ?hi:bool -> arr -> int -> arr
val squeeze : ?axis:int array -> arr -> arr
val draw : ?axis:int -> arr -> int -> arr * int array
val map : (elt -> elt) -> arr -> arr
val fold : ?axis:int -> (elt -> elt -> elt) -> elt -> arr -> arr
val scan : ?axis:int -> (elt -> elt -> elt) -> arr -> arr
val one_hot : int -> arr -> arr
val pad : ?v:elt -> int list list -> 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 -> ?keep_dims:bool -> arr -> arr
val max : ?axis:int -> ?keep_dims:bool -> arr -> arr
val sum : ?axis:int -> ?keep_dims:bool -> arr -> arr
val sum_reduce : ?axis:int array -> arr -> arr
val signum : arr -> arr
val sigmoid : arr -> arr
val relu : arr -> arr
val dawsn : arr -> arr
val min' : arr -> elt
val max' : arr -> elt
val sum' : arr -> elt
val log_sum_exp' : arr -> elt
val log_sum_exp : ?axis:int -> ?keep_dims:bool -> arr -> arr
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
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 diag : ?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
val float_to_elt : float -> elt
val elt_to_float : elt -> float
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 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
module Scalar : sig ... end
module Mat : sig ... end
module Linalg : sig ... end
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