ParameterizedTruncatedNormal

public final class ParameterizedTruncatedNormal

Outputs random values from a normal distribution. The parameters may each be a

scalar which applies to the entire output, or a vector of length shape[0] which stores the parameters for each batch.

Nested Classes

class ParameterizedTruncatedNormal.Options Optional attributes for ParameterizedTruncatedNormal

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.
static <U extends TNumber > ParameterizedTruncatedNormal <U>
create ( Scope scope, Operand <? extends TNumber > shape, Operand <U> means, Operand <U> stdevs, Operand <U> minvals, Operand <U> maxvals, Options... options)
Factory method to create a class wrapping a new ParameterizedTruncatedNormal operation.
Output <U>
output ()
A matrix of shape num_batches x samples_per_batch, filled with random truncated normal values using the parameters for each row.
static ParameterizedTruncatedNormal.Options
seed (Long seed)
static ParameterizedTruncatedNormal.Options
seed2 (Long seed2)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ParameterizedTruncatedNormal"

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 ParameterizedTruncatedNormal <U> create ( Scope scope, Operand <? extends TNumber > shape, Operand <U> means, Operand <U> stdevs, Operand <U> minvals, Operand <U> maxvals, Options... options)

Factory method to create a class wrapping a new ParameterizedTruncatedNormal operation.

Parameters
scope current scope
shape The shape of the output tensor. Batches are indexed by the 0th dimension.
means The mean parameter of each batch.
stdevs The standard deviation parameter of each batch. Must be greater than 0.
minvals The minimum cutoff. May be -infinity.
maxvals The maximum cutoff. May be +infinity, and must be more than the minval for each batch.
options carries optional attributes values
Returns
  • a new instance of ParameterizedTruncatedNormal

public Output <U> output ()

A matrix of shape num_batches x samples_per_batch, filled with random truncated normal values using the parameters for each row.

public static ParameterizedTruncatedNormal.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.

public static ParameterizedTruncatedNormal.Options seed2 (Long seed2)

Parameters
seed2 A second seed to avoid seed collision.