:py:mod:`omnisolver.bruteforce.gpu.sampler`
===========================================

.. py:module:: omnisolver.bruteforce.gpu.sampler


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

Classes
~~~~~~~

.. autoapisummary::

   omnisolver.bruteforce.gpu.sampler.BruteforceGPUSampler



Functions
~~~~~~~~~

.. autoapisummary::

   omnisolver.bruteforce.gpu.sampler._convert_int_to_sample



.. py:function:: _convert_int_to_sample(val, num_variables)


.. py:class:: BruteforceGPUSampler

   Bases: :py:obj:`dimod.Sampler`

   .. py:property:: parameters
      :type: Dict[str, Any]


   .. py:property:: properties
      :type: Dict[str, Any]


   .. py:method:: sample(bqm, num_states, suffix_size, grid_size, block_size, dtype=np.float32)

      Solve Binary Quadratic Model using exhaustive (bruteforce) search on the GPU.

      :param bqm: Binary Quadratic Model instance to solve.
      :param num_states: number of lowest energy states to compute.
      :param suffix_size: exponent l such that 2 ** l is the number of temporarily stored
      :param grid_size: number of blocks for the custom kernels. Note that this parameter
          does not affect the grid on which the Thrust kernels are launched.
      :param block_size: number of threads per block for custom kerneles. Note that this
          parameter does not affect the grid on which the Thrust kernels are launched.
      :param dtype: datatype to use, either np.float32 or np.float64. The default is
          np.flaot32 which on most GPU is significantly faster then 64-bit floating point
          numbers.
      :returns: sample set containing num_states samples.