package owl-base

You can search for identifiers within the package.

in-package search v0.2.0

On This Page

Parameters
Signature

package owl-base

owl-base
- Owl_algodiff_generic
  - Make
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
- Owl_algodiff_generic_sig
  - Sig
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
- Owl_base
- Owl_base_complex
- Owl_base_dense_common
- Owl_base_dense_ndarray
  - D
  - Generic
  - Operator
  - S
- Owl_base_dense_ndarray_d
- Owl_base_dense_ndarray_generic
- Owl_base_dense_ndarray_s
- Owl_base_linalg_generic
- Owl_base_maths
- Owl_base_slicing
- Owl_base_stats
- Owl_base_stats_dist_bernoulli
- Owl_base_stats_dist_cauchy
- Owl_base_stats_dist_exponential
- Owl_base_stats_dist_gamma
- Owl_base_stats_dist_gaussian
- Owl_base_stats_dist_gumbel1
- Owl_base_stats_dist_gumbel2
- Owl_base_stats_dist_uniform
- Owl_base_stats_prng
- Owl_computation
- Owl_computation_cpu_device
  - Make
    
    A
    
    Scalar
- Owl_computation_cpu_engine
  - Make
    
    A
    
    Scalar
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
  - Make_Nested
    
    CG_Eval
    
    CG_Init
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_cpu_eval
  - Make
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_cpu_init
  - Make
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_engine
  - Flatten
    
    Engine
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
  - Make_Graph
    
    Device
    
    A
    
    Scalar
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_engine_sig
  - Flatten_Sig
    
    A
    
    Scalar
    
    Device
    
    A
    
    Scalar
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Scalar
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Type
    
    Device
    
    A
    
    Scalar
  - Make_Graph_Sig
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_graph
  - Make
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_graph_sig
  - Sig
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_operator
  - Make
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_operator_sig
  - Sig
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_optimiser
  - Make
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_optimiser_sig
  - Sig
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_shape
  - Make
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_shape_sig
  - Sig
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_symbol
  - Make
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_symbol_sig
  - Sig
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_computation_type
  - Make
    
    Device
    
    A
    
    Scalar
- Owl_computation_type_sig
  - Sig
    
    Device
    
    A
    
    Scalar
- Owl_const
  - CGS
  - CGSM
  - MKS
  - Prefix
  - SI
- Owl_dataframe
- Owl_exception
- Owl_graph
- Owl_io
- Owl_lazy
  - Make
    
    A
    
    Scalar
- Owl_log
- Owl_maths_interpolate
- Owl_maths_quadrature
- Owl_maths_root
- Owl_neural_compiler
  - Make
    
    E
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Engine
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
    
    Neural
    
    Graph
    
    Neuron
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
- Owl_neural_generic
  - Flatten
    
    Graph
    
    Neuron
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
  - Make
    
    A
    
    Scalar
    
    Graph
    
    Neuron
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
  - Make_Embedded
    
    A
    
    Scalar
    
    Neuron
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
- Owl_neural_graph
  - Make
    
    Neuron
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
- Owl_neural_graph_sig
  - Sig
    
    Neuron
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
- Owl_neural_neuron
  - Make
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
- Owl_neural_neuron_sig
  - Sig
    
    Activation
    
    Add
    
    AlphaDropout
    
    Average
    
    AvgPool1D
    
    AvgPool2D
    
    Concatenate
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    DilatedConv1D
    
    DilatedConv2D
    
    DilatedConv3D
    
    Dot
    
    Dropout
    
    Embedding
    
    Flatten
    
    FullyConnected
    
    GRU
    
    GaussianDropout
    
    GaussianNoise
    
    GlobalAvgPool1D
    
    GlobalAvgPool2D
    
    GlobalMaxPool1D
    
    GlobalMaxPool2D
    
    Init
    
    Input
    
    LSTM
    
    Lambda
    
    Linear
    
    LinearNoBias
    
    Masking
    
    Max
    
    MaxPool1D
    
    MaxPool2D
    
    Mul
    
    Normalisation
    
    Optimise
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
    
    Padding1D
    
    Padding2D
    
    Padding3D
    
    Recurrent
    
    Reshape
    
    TransposeConv1D
    
    TransposeConv2D
    
    TransposeConv3D
    
    UpSampling1D
    
    UpSampling2D
    
    UpSampling3D
- Owl_numdiff_generic
  - Make
    
    A
- Owl_numdiff_generic_sig
  - Impl
    
    A
  - Sig
- Owl_operator
  - Make_Basic
    
    M
  - Make_Extend
    
    M
  - Make_Linalg
    
    M
  - Make_Matrix
    
    M
  - Make_Ndarray
    
    M
- Owl_optimise_generic
  - Make
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
- Owl_optimise_generic_sig
  - Sig
    
    Algodiff
    
    A
    
    Scalar
    
    Arr
    
    Mat
    
    Maths
    
    Batch
    
    Checkpoint
    
    Clipping
    
    Gradient
    
    Learning_Rate
    
    Loss
    
    Momentum
    
    Params
    
    Regularisation
    
    Stopping
    
    Utils
- Owl_pretty
- Owl_types
- Owl_types_common
- Owl_types_computation_device
  - Sig
    
    A
    
    Scalar
- Owl_types_computation_engine
  - Sig
    
    Graph
    
    Optimiser
    
    Operator
    
    Scalar
    
    Symbol
    
    Shape
    
    Type
    
    Device
    
    A
    
    Scalar
- Owl_types_maths_basic
  - Sig
- Owl_types_ndarray_algodiff
  - Sig
    
    Scalar
- Owl_types_ndarray_basic
  - Sig
- Owl_types_ndarray_compare
  - Sig
- Owl_types_ndarray_eltcmp
  - Sig
- Owl_types_ndarray_mutable
  - Sig
    
    Scalar
- Owl_types_ndarray_numdiff
  - Sig
- Owl_types_operator
  - BasicSig
  - ExtendSig
  - LinalgSig
  - MatrixSig
  - NdarraySig
- Owl_types_stats_basic
- Owl_types_stats_dist
  - Sig
    
    Scalar
- Owl_utils
- Owl_utils_array
- Owl_utils_infer_shape
- Owl_utils_ndarray
- Owl_utils_stack
- Owl_view
  - Make
    
    A

Legend:
Library
Module
Module type
Parameter
Class
Class type

Parameters

module E : Owl_types_computation_engine.Sig

Signature

module Engine : sig ... end

module Neural : sig ... end

Naive compilation functions, need to pass in loss function

val compile_simple : 
  Neural.Graph.network ->
  int array ->
  (Neural.Algodiff.t ->
    Neural.Graph.Neuron.Optimise.Algodiff.t ->
    Neural.Graph.Neuron.Optimise.Algodiff.t) ->
  Neural.Algodiff.A.arr
  * Neural.Algodiff.A.arr
  * Neural.Algodiff.A.arr array
  * Neural.Algodiff.A.arr array

Shallow compilation functions, includes only gradient

val compile_shallow : 
  Neural.Params.typ ->
  Neural.Graph.network ->
  int ->
  Neural.Algodiff.t
  * Neural.Algodiff.t
  * Neural.Graph.Neuron.Optimise.Algodiff.t array
  * Neural.Graph.Neuron.Optimise.Algodiff.t array
  * Neural.Graph.Neuron.Optimise.Algodiff.t

Deep compilation functions, includes gs, us, ps, ch, and new weights

val compile_deep : 
  Neural.Params.typ ->
  Neural.Graph.network ->
  int ->
  Neural.Graph.Neuron.Optimise.Algodiff.t
  * Neural.Algodiff.t
  * Neural.Algodiff.t
  * Engine.graph

val make_eval_fun : 
  'a ->
  Neural.Algodiff.t ->
  Neural.Algodiff.t ->
  Engine.Graph.graph ->
  Neural.Algodiff.t ->
  Neural.Algodiff.t ->
  'a

val make_update_fun : Engine.graph -> unit -> unit

val train : 
  ?state:Neural.Optimise.Checkpoint.state ->
  ?params:Neural.Params.typ ->
  Neural.Graph.network ->
  Neural.Algodiff.t ->
  Neural.Optimise.Algodiff.t ->
  Neural.Optimise.Checkpoint.state