package neural_nets_lib

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neural_nets_lib
- CHANGES
- README
- Library neural_nets_lib
  - Ocannl
    
    Operation
    
    Asgns
    
    Idx
    
    At
    
    Initial_NTDSL
    
    O
    
    Initial_TDSL
    
    O
    
    NDO_without_pow
    
    NDO_without_div
    
    DO
    
    NDO
    
    TDSL
    
    O
    
    NTDSL
    
    O
    
    PrintBox_utils
    
    Utils
    
    Debug_runtime
    
    Row
    
    Variants_of_kind
    
    Variants_of_dim
    
    Variants_of_bcast
    
    Variants_of_dim_constraint
    
    Variants_of_row_constraint
    
    Variants_of_constraint_
    
    Shape
    
    Tensor
    
    Train
    
    Tn
    
    Nd
    
    NTDSL
    
    Asgns
    
    Idx
    
    Utils
    
    Rand
    
    BT
    
    Backend_type
    
    Debug_runtime
    
    CDSL
    
    IDX
    
    Lazy
- Library ppx_ocannl
  - Ppx_ocannl
- Sources
  - neural_nets_lib
    
    PrintBox_utils.ml
    
    ocannl.ml
    
    operation.ml
    
    row.ml
    
    shape.ml
    
    tensor.ml
    
    train.ml
  - ppx_ocannl
    
    ppx_cd.ml
    
    ppx_ocannl.ml
    
    ppx_ocannl__.ml
    
    ppx_op.ml
    
    ppx_shared.ml

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Source

Module `Row.Variants_of_dim_constraint`Source

Sourceval unconstrained_dim : dim_constraint Variantslib.Variant.t

Sourceval at_least_dim : (Base.int -> dim_constraint) Variantslib.Variant.t

Source

val fold : 
  init:'acc__0 ->
  unconstrained_dim:
    ('acc__0 -> dim_constraint Variantslib.Variant.t -> 'acc__1) ->
  at_least_dim:
    ('acc__1 -> (Base.int -> dim_constraint) Variantslib.Variant.t -> 'acc__2) ->
  'acc__2

Source

val iter : 
  unconstrained_dim:(dim_constraint Variantslib.Variant.t -> Base.unit) ->
  at_least_dim:
    ((Base.int -> dim_constraint) Variantslib.Variant.t -> Base.unit) ->
  Base.unit

Source

val map : 
  dim_constraint ->
  unconstrained_dim:(dim_constraint Variantslib.Variant.t -> 'result__) ->
  at_least_dim:
    ((Base.int -> dim_constraint) Variantslib.Variant.t ->
      Base.int ->
      'result__) ->
  'result__

Source

val make_matcher : 
  unconstrained_dim:
    (dim_constraint Variantslib.Variant.t ->
      'acc__0 ->
      (Base.unit -> 'result__) * 'acc__1) ->
  at_least_dim:
    ((Base.int -> dim_constraint) Variantslib.Variant.t ->
      'acc__1 ->
      (Base.int -> 'result__) * 'acc__2) ->
  'acc__0 ->
  (dim_constraint -> 'result__) * 'acc__2

Sourceval to_rank : dim_constraint -> Base.int

Sourceval to_name : dim_constraint -> Base.string

Sourceval descriptions : (Base.string * Base.int) Base.list

package neural_nets_lib

Module Row.Variants_of_dim_constraintSource

Module `Row.Variants_of_dim_constraint`Source