:mod:`altar.cuda.distributions.cudaTGaussian`
=============================================

.. py:module:: altar.cuda.distributions.cudaTGaussian


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   altar.cuda.distributions.cudaTGaussian.cudaTGaussian



.. py:class:: cudaTGaussian

   Bases: :class:`altar.cuda.distributions.cudaDistribution.cudaDistribution`

   The cuda gaussian probability distribution

   .. attribute:: mean
      

      

   .. attribute:: doc
      :annotation: = the mean value

      

   .. attribute:: sigma
      

      

   .. attribute:: doc
      :annotation: =  the standard deviation

      

   .. attribute:: support
      

      

   .. attribute:: doc
      :annotation: = the support interval of the truncated gaussian distribution

      

   .. method:: cuInitSample(self, theta)

      Fill my portion of {theta} with initial random values from my distribution.


   .. method:: cuVerify(self, theta, mask)

      Check whether my portion of the samples in {theta} are consistent with my constraints, and
      update {mask}, a vector with zeroes for valid samples and non-zero for invalid ones
      :param theta cuArray:
      :type theta cuArray: samples x total_parameters


   .. method:: cuEvalPrior(self, theta, prior, batch)

      Fill my portion of {likelihood} with the likelihoods of the samples in {theta}