Outputs random values from the Gamma distribution(s) described by alpha.
This op uses the algorithm by Marsaglia et al. to acquire samples via transformation-rejection from pairs of uniform and normal random variables. See http://dl.acm.org/citation.cfm?id=358414
Nested Classes
class | RandomGamma.Options | Optional attributes for RandomGamma
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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> RandomGamma<U> | |
Output<U> |
output()
A tensor with shape `shape + shape(alpha)`.
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static RandomGamma.Options |
seed(Long seed)
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static RandomGamma.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 RandomGamma<U> create (Scope scope, Operand<? extends TNumber> shape, Operand<U> alpha, Options... options)
Factory method to create a class wrapping a new RandomGamma operation.
Parameters
scope | current scope |
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shape | 1-D integer tensor. Shape of independent samples to draw from each distribution described by the shape parameters given in alpha. |
alpha | A tensor in which each scalar is a "shape" parameter describing the associated gamma distribution. |
options | carries optional attributes values |
Returns
- a new instance of RandomGamma
public Output<U> output ()
A tensor with shape `shape + shape(alpha)`. Each slice `[:, ..., :, i0, i1, ...iN]` contains the samples drawn for `alpha[i0, i1, ...iN]`. The dtype of the output matches the dtype of alpha.
public static RandomGamma.Options seed (Long seed)
Parameters
seed | If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
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public static RandomGamma.Options seed2 (Long seed2)
Parameters
seed2 | A second seed to avoid seed collision. |
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