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:
Output
: The one-hot tensor.
Constructors and Destructors |
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OneHot(const ::tensorflow::Scope & scope, ::tensorflow::Input indices, ::tensorflow::Input depth, ::tensorflow::Input on_value, ::tensorflow::Input off_value)
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OneHot(const ::tensorflow::Scope & scope, ::tensorflow::Input indices, ::tensorflow::Input depth, ::tensorflow::Input on_value, ::tensorflow::Input off_value, const OneHot::Attrs & attrs)
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Public attributes |
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operation
|
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Axis(int64 x)
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Structs |
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tensorflow:: |
Optional attribute setters for OneHot. |
Public attributes
operation
Operation operation
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 )