Draws samples from a multinomial distribution.
Nested Classes
class | Multinomial.Options | Optional attributes for Multinomial
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
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static <U extends TNumber> Multinomial<U> | |
static Multinomial<TInt64> | |
Output<U> |
output()
2-D Tensor with shape `[batch_size, num_samples]`.
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static Multinomial.Options |
seed(Long seed)
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static Multinomial.Options |
seed2(Long seed2)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<U> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Multinomial<U> create (Scope scope, Operand<? extends TNumber> logits, Operand<TInt32> numSamples, Class<U> outputDtype, Options... options)
Factory method to create a class wrapping a new Multinomial operation.
Parameters
scope | current scope |
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logits | 2-D Tensor with shape `[batch_size, num_classes]`. Each slice `[i, :]` represents the unnormalized log probabilities for all classes. |
numSamples | 0-D. Number of independent samples to draw for each row slice. |
options | carries optional attributes values |
Returns
- a new instance of Multinomial
public static Multinomial<TInt64> create (Scope scope, Operand<? extends TNumber> logits, Operand<TInt32> numSamples, Options... options)
Factory method to create a class wrapping a new Multinomial operation using default output types.
Parameters
scope | current scope |
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logits | 2-D Tensor with shape `[batch_size, num_classes]`. Each slice `[i, :]` represents the unnormalized log probabilities for all classes. |
numSamples | 0-D. Number of independent samples to draw for each row slice. |
options | carries optional attributes values |
Returns
- a new instance of Multinomial
public Output<U> output ()
2-D Tensor with shape `[batch_size, num_samples]`. Each slice `[i, :]` contains the drawn class labels with range `[0, num_classes)`.
public static Multinomial.Options seed (Long seed)
Parameters
seed | If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed. Otherwise, a random seed is used. |
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public static Multinomial.Options seed2 (Long seed2)
Parameters
seed2 | A second seed to avoid seed collision. |
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