tensorflow::
    
   ops::
    
   OneHot
  
  
   #include <array_ops.h>
  
  Returns a one-hot tensor.
Summary
   The locations represented by indices in
   
    indices
   
   take value
   
    on_value
   
   , while all other locations take value
   
    off_value
   
   .
  
   If the input
   
    indices
   
   is rank
   
    N
   
   , the output will have rank
   
    N+1
   
   , The new axis is created at dimension
   
    axis
   
   (default: the new axis is appended at the end).
  
   If
   
    indices
   
   is a scalar the output shape will be a vector of length
   
    depth
   
   .
  
   If
   
    indices
   
   is a vector of length
   
    features
   
   , the output shape will be:
   
features x depth if axis == -1 depth x features if axis == 0
   If
   
    indices
   
   is a matrix (batch) with shape
   
    [batch, features]
   
   , the output shape will be:
   
batch x features x depth if axis == -1 batch x depth x features if axis == 1 depth x batch x features if axis == 0
Examples
Suppose that
indices = [0, 2, -1, 1] depth = 3 on_value = 5.0 off_value = 0.0 axis = -1
   Then output is
   
    [4 x 3]
   
   :
   
output = [5.0 0.0 0.0] // one_hot(0) [0.0 0.0 5.0] // one_hot(2) [0.0 0.0 0.0] // one_hot(-1) [0.0 5.0 0.0] // one_hot(1)
Suppose that
indices = [0, 2, -1, 1] depth = 3 on_value = 0.0 off_value = 3.0 axis = 0
   Then output is
   
    [3 x 4]
   
   :
   
output = [0.0 3.0 3.0 3.0] [3.0 3.0 3.0 0.0] [3.0 3.0 3.0 3.0] [3.0 0.0 3.0 3.0] // ^ one_hot(0) // ^ one_hot(2) // ^ one_hot(-1) // ^ one_hot(1)
Suppose that
indices = [[0, 2], [1, -1]] depth = 3 on_value = 1.0 off_value = 0.0 axis = -1
   Then output is
   
    [2 x 2 x 3]
   
   :
   
output =
  [
    [1.0, 0.0, 0.0]  // one_hot(0)
    [0.0, 0.0, 1.0]  // one_hot(2)
  ][
    [0.0, 1.0, 0.0]  // one_hot(1)
    [0.0, 0.0, 0.0]  // one_hot(-1)
  ]Args:
- scope: A Scope object
 - indices: A tensor of indices.
 - depth: A scalar defining the depth of the one hot dimension.
 - 
     on_value: A scalar defining the value to fill in output when
     
indices[j] = i. - 
     off_value: A scalar defining the value to fill in output when
     
indices[j] != i. 
   Optional attributes (see
   
    
     Attrs
    
   
   ):
   
- axis: The axis to fill (default: -1, a new inner-most axis).
 
Returns:
- 
     
Output: The one-hot tensor. 
     Constructors and Destructors | 
   |
|---|---|
     
      
       OneHot
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      indices, ::
      
       tensorflow::Input
      
      depth, ::
      
       tensorflow::Input
      
      on_value, ::
      
       tensorflow::Input
      
      off_value)
     
      | 
   |
     
      
       OneHot
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      indices, ::
      
       tensorflow::Input
      
      depth, ::
      
       tensorflow::Input
      
      on_value, ::
      
       tensorflow::Input
      
      off_value, const
      
       OneHot::Attrs
      
      & attrs)
     
      | 
   
     Public attributes | 
   |
|---|---|
     
      
       operation
      
     
     | 
    |
     
      
       output
      
     
     | 
    |
     Public functions | 
   |
|---|---|
     
      
       node
      
      () const
     
     | 
    
     
       ::tensorflow::Node *
      
      | 
   
     
      
       operator::tensorflow::Input
      
      () const
     
     | 
    
     
      
      | 
   
     
      
       operator::tensorflow::Output
      
      () const
     
     | 
    
     
      
      | 
   
     Public static functions | 
   |
|---|---|
     
      
       Axis
      
      (int64 x)
     
     | 
    |
     Structs | 
   |
|---|---|
| 
     
      tensorflow::
       | 
    
      Optional attribute setters for OneHot .  | 
   
Public attributes
Public functions
OneHot
OneHot( const ::tensorflow::Scope & scope, ::tensorflow::Input indices, ::tensorflow::Input depth, ::tensorflow::Input on_value, ::tensorflow::Input off_value )
OneHot
OneHot( const ::tensorflow::Scope & scope, ::tensorflow::Input indices, ::tensorflow::Input depth, ::tensorflow::Input on_value, ::tensorflow::Input off_value, const OneHot::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const