pyfaust.factparams.ParamsHierarchicalDFT Class Reference

The simplified parameterization class for factorizing a DFT matrix using the hierarchical factorization algorithm. More...

Public Member Functions
def	__init__ (self, n)
def	__repr__ (self)
	Returns object representation. More...
def	support_DFT (self, n)
	Generates the DFT supports with the additional bit-reversal permutation matrix. More...
def	bit_rev_permu (self, int n)
	Returns the Bit-reversal permutation of index n. More...
Public Member Functions inherited from pyfaust.factparams.ParamsHierarchical
def	__init__ (self, fact_constraints, res_constraints, stop_crit1, stop_crit2, is_update_way_R2L=False, init_lambda=1.0, step_size=10.0 **-16, constant_step_size=False, is_fact_side_left=False, is_verbose=False, factor_format='dynamic', packing_RL=True, no_normalization=False, no_lambda=False, norm2_max_iter=100, norm2_threshold=1e-6, grad_calc_opt_mode=ParamsFact.EXTERNAL_OPT, **kwargs)
	Constructor. More...
def	are_constraints_consistent (self, M)
	This method verifies that the constraints are shape-consistent to the matrix/array M to factorize and with each other. More...
Public Member Functions inherited from pyfaust.factparams.ParamsFact
def	__init__ (self, num_facts, is_update_way_R2L, init_lambda, constraints, step_size, constant_step_size, is_verbose, factor_format='dynamic', packing_RL=True, no_normalization=False, no_lambda=False, norm2_max_iter=100, norm2_threshold=1e-6, grad_calc_opt_mode=EXTERNAL_OPT, **kwargs)

Static Public Member Functions
def	createParams (M, p)
Static Public Member Functions inherited from pyfaust.factparams.ParamsFact
def	factor_format_str2int (factor_format)
def	factor_format_int2str (factor_format)
def	get_constraints (projs)
	Returns a python list of constraints from the projs which is a ConstralintList or a list/tuple that can be a mix of ConstraintGeneric or pyfaust.proj.proj_gen. More...

Public Attributes
	supports
Public Attributes inherited from pyfaust.factparams.ParamsFact
	step_size
	constant_step_size
	norm2_max_iter
	norm2_threshold
	factor_format
	packing_RL
	no_normalization
	no_lambda
	use_MHTP

Detailed Description

The simplified parameterization class for factorizing a DFT matrix using the hierarchical factorization algorithm.

See also

pyfaust.fact.hierarchical, init

Constructor & Destructor Documentation

__init__()

def pyfaust.factparams.ParamsHierarchicalDFT.__init__	(		self,
			n
	)

Parameters

n	(int) the log2(size) of the DFT matrix (of size 2^n x 2^n).

Member Function Documentation

__repr__()

def pyfaust.factparams.ParamsHierarchicalDFT.__repr__

(

self

)

Returns object representation.

Reimplemented from pyfaust.factparams.ParamsHierarchical.

bit_rev_permu()

def pyfaust.factparams.ParamsHierarchicalDFT.bit_rev_permu	(		self,
		int	n
	)

Returns the Bit-reversal permutation of index n.

Parameters

n	(int) the index of the permutation.
Returns	the Bit-reversal permutation of index n as a list.

createParams()

def pyfaust.factparams.ParamsHierarchicalDFT.createParams (   M,   p  )

static

support_DFT()

def pyfaust.factparams.ParamsHierarchicalDFT.support_DFT	(		self,
			n
	)

Generates the DFT supports with the additional bit-reversal permutation matrix.

Parameters

n	(int) the log2(size) of the DFT (of size 2^n x 2^n).

Member Data Documentation

supports

pyfaust.factparams.ParamsHierarchicalDFT.supports

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The documentation for this class was generated from the following file:

• factparams.py