tensorflow::ops::ParameterizedTruncatedNormal

Outputs random values from a normal distribution.

Summary

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.

Args:

• scope: A Scope object
• 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.

Optional attributes (see Attrs):

• 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.
• seed2: A second seed to avoid seed collision.

Returns:

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

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 ParameterizedTruncatedNormal(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input shape,
  ::tensorflow::Input means,
  ::tensorflow::Input stdevs,
  ::tensorflow::Input minvals,
  ::tensorflow::Input maxvals
)

 ParameterizedTruncatedNormal(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input shape,
  ::tensorflow::Input means,
  ::tensorflow::Input stdevs,
  ::tensorflow::Input minvals,
  ::tensorflow::Input maxvals,
  const ParameterizedTruncatedNormal::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs Seed(
  int64 x
)

Attrs Seed2(
  int64 x
)