org.bytedeco.javacpp

Class tensorflow.OneHot

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.OneHot

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.OneHot
extends Pointer

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
  

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.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.OneHot.Attrs Optional attribute setters for OneHot

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
OneHot(Pointer p) Pointer cast constructor.
OneHot(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input depth, tensorflow.Input on_value, tensorflow.Input off_value)
OneHot(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input depth, tensorflow.Input on_value, tensorflow.Input off_value, tensorflow.OneHot.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.OneHot.Attrs	Axis(long x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.OneHot	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.OneHot	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

OneHot

public OneHot(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

OneHot

public OneHot(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input indices,
              @ByVal
              tensorflow.Input depth,
              @ByVal
              tensorflow.Input on_value,
              @ByVal
              tensorflow.Input off_value)

OneHot

public OneHot(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input indices,
              @ByVal
              tensorflow.Input depth,
              @ByVal
              tensorflow.Input on_value,
              @ByVal
              tensorflow.Input off_value,
              @Const @ByRef
              tensorflow.OneHot.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Axis

@ByVal
public static tensorflow.OneHot.Attrs Axis(@Cast(value="tensorflow::int64")
                                                   long x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.OneHot operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.OneHot output(tensorflow.Output output)