:py:mod:`nessai.flows.transforms`
=================================

.. py:module:: nessai.flows.transforms

.. autoapi-nested-parse::

   Transform for use in normalising flows.

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

Classes
~~~~~~~

.. autoapisummary::

   nessai.flows.transforms.LULinear




.. py:class:: LULinear(features, using_cache=False, identity_init=True, eps=0.001)

   Bases: :py:obj:`nflows.transforms.LULinear`

   
   Wrapper for LULinear from nflows that works with CUDA.

   The original implementation has a bug that prevents use with CUDA. See
   https://github.com/bayesiains/nflows/pull/38 for details.

   This should be removed if the bug is fixed in nflows.















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   .. py:method:: weight_inverse(self)

      
      Cost:
          inverse = O(D^3)
      where:
          D = num of features
















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