package tensorflow

You can search for identifiers within the package.

in-package search v0.2.0

tensorflow
- Tensorflow
  - Cell
  - Fnn
    
    Input_id
    
    Loss
    
    Model
    
    Optimizer
    
    Shape
  - Gradients
  - Graph_piqi
    
    Attr_value
    
    Attr_value_list_value
    
    Function_def
    
    Function_def_library
    
    Function_def_node
    
    Function_def_node_attr_entry
    
    Gradient_def
    
    Graph_def
    
    Graph_piqi
    
    Name_attr_list
    
    Name_attr_list_attr_entry
    
    Node_def
    
    Node_def_attr_entry
    
    Op_def
    
    Op_def_arg_def
    
    Op_def_attr_def
    
    Op_deprecation
    
    Op_list
    
    Tensor_proto
    
    Tensor_shape_proto
    
    Tensor_shape_proto_dim
    
    Version_def
  - Mnist_helper
  - Nn
    
    Input_name
    
    Shape
    
    Shared_var
  - Node
    
    Attr_list
    
    Dim
    
    Tensor
    
    Type
    
    Weak_table
  - Node_protobuf
  - Ops
    
    Op_names
    
    Placeholder
  - Ops_generated
    
    Op_names
  - Ops_gradients
  - Ops_manual
    
    Placeholder
  - Optimizers
  - Piqirun
    
    IBuf
    
    List
    
    OBuf
  - Protobuf
  - Registered_gradients
  - Rnn
  - Session
    
    Input
    
    Output
  - Tensor
  - Var
  - Wrapper
    
    Session
    
    Session_options
    
    Status

Legend:
Library
Module
Module type
Parameter
Class
Class type

val gru : 
  shape:int ->
  (h:(Nn._1d, [ `float ]) Nn.t ->
    x:(Nn._1d, [ `float ]) Nn.t ->
    (Nn._1d, [ `float ]) Nn.t)
    Core_kernel.Std.Staged.t

val fold : 
  (Nn._2d, [ `float ]) Nn.t ->
  init:'a ->
  f:('a -> (Nn._1d, [ `float ]) Nn.t -> 'a) ->
  'a

val scan : 
  (Nn._2d, [ `float ]) Nn.t ->
  init:(Nn._1d, [ `float ]) Nn.t ->
  f:
    ((Nn._1d, [ `float ]) Nn.t ->
      (Nn._1d, [ `float ]) Nn.t ->
      (Nn._1d, [ `float ]) Nn.t) ->
  (Nn._2d, [ `float ]) Nn.t * (Nn._1d, [ `float ]) Nn.t

val scan' : 
  (Nn._2d, [ `float ]) Nn.t ->
  init:'a ->
  f:('a -> (Nn._1d, [ `float ]) Nn.t -> (Nn._1d, [ `float ]) Nn.t * 'a) ->
  (Nn._2d, [ `float ]) Nn.t * 'a