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)
  ]```

Arguments:

  • 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:

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

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

Axis(int64 x)

Structs

tensorflow::ops::OneHot::Attrs

Optional attribute setters for OneHot.

Public attributes

output

::tensorflow::Output output

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 

Public static functions

Axis

Attrs Axis(
  int64 x
)