#include <array_ops.h>
Returns a one-hot tensor.
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
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:
* 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 | |
|---|---|
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. |
::tensorflow::Output output
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 )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Attrs Axis( int64 x )
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/one-hot.html