How to use _callback method in Slash

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monte.py

Source:monte.py

1#!/usr/bin/env python2"""3Wrapper for the Monte carlo integrators provided by GSL.4"""5import _callback6import gsl_function7gsl_monte_function = gsl_function.gsl_monte_function8VEGAS_MODE_IMPORTANCE      = _callback.GSL_VEGAS_MODE_IMPORTANCE9VEGAS_MODE_IMPORTANCE_ONLY = _callback.GSL_VEGAS_MODE_IMPORTANCE_ONLY 10VEGAS_MODE_STRATIFIED      = _callback.GSL_VEGAS_MODE_STRATIFIED     11class _Monte:12    """13    Base Wrapper class. This class does not implement any solver itself, 14    so you should use a derived class eg. miser, vegas, or plain.15    """16    _alloc     = None17    _free      = None18    _integrate = None19    _init      = None20    21    def __init__(self, dim):22        """23        Input :24            dim ... the dimension of the integrator25        """26        self._ptr = None27        self._ptr = self._alloc(dim)28    def init(self):29        """30        (Re)initialises the solver31        """32        self._init(self._ptr)33    def integrate(self, func, xl, xu, ncalls, r):34        """35        Input:36            func   ... the function to solve. Must be a gsl_monte_function37            xl     ... the lower limits for the integration38            xu     ... the upper limits for the integration39            ncalls ... number of calls 40            r      ... random generator from pygsl.rng41        Output:42            val    ... the value43            abserr ... the error estimate for that value44        """45        return self._integrate(func.get_ptr(), (xl, xu),  ncalls, r, self._ptr)46    def get_name(self):47        """48        To be compatible with the other solvers I added this method        49        """50        return self.__class__.__name__51    52    def _GetPtr(self):53        """54        Direct access to the SWIG Pointer. Only use if you know what you are doing55        """56        return self._ptr57    58    def __del__(self):59        """60        """61        if hasattr(self, '_ptr'):62            if self._ptr != None:63                self._free(self._ptr)64        65class plain(_Monte):66    """67    """68    _alloc     = _callback.gsl_monte_plain_alloc69    _free      = _callback.gsl_monte_plain_free70    _integrate = _callback.gsl_monte_plain_integrate71    _init      = _callback.gsl_monte_plain_init72    pass73class miser(_Monte):74    """75    """76    _alloc     = _callback.gsl_monte_miser_alloc77    _free      = _callback.gsl_monte_miser_free78    _integrate = _callback.gsl_monte_miser_integrate79    _init      = _callback.gsl_monte_miser_init80    def  get_min_calls                (self):         return _callback.pygsl_monte_miser_get_min_calls               (self._ptr) 81    def  get_min_calls_per_bisection  (self):         return _callback.pygsl_monte_miser_get_min_calls_per_bisection (self._ptr)82    def  get_dither                   (self):         return _callback.pygsl_monte_miser_get_dither                  (self._ptr)83    def  get_estimate_frac            (self):         return _callback.pygsl_monte_miser_get_estimate_frac           (self._ptr)84    def  get_alpha                    (self):         return _callback.pygsl_monte_miser_get_alpha                   (self._ptr)85    86    def  set_min_calls                (self, arg1):   return _callback.pygsl_monte_miser_set_min_calls               (self._ptr, arg1)87    def  set_min_calls_per_bisection  (self, arg1):   return _callback.pygsl_monte_miser_set_min_calls_per_bisection (self._ptr, arg1)88    def  set_dither                   (self, arg1):   return _callback.pygsl_monte_miser_set_dither                  (self._ptr, arg1)89    def  set_estimate_frac            (self, arg1):   return _callback.pygsl_monte_miser_set_estimate_frac           (self._ptr, arg1)90    def  set_alpha                    (self, arg1):   return _callback.pygsl_monte_miser_set_alpha                   (self._ptr, arg1)91class vegas(_Monte):92    """93    """94    _alloc     = _callback.gsl_monte_vegas_alloc95    _free      = _callback.gsl_monte_vegas_free96    _integrate = _callback.gsl_monte_vegas_integrate97    _init      = _callback.gsl_monte_vegas_init98    def get_result     (self): return _callback.pygsl_monte_vegas_get_result    (self._ptr)99    def get_sigma      (self): return _callback.pygsl_monte_vegas_get_sigma     (self._ptr)100    def get_chisq      (self): return _callback.pygsl_monte_vegas_get_chisq     (self._ptr)101    def get_alpha      (self): return _callback.pygsl_monte_vegas_get_alpha     (self._ptr)102    def get_iterations (self): return _callback.pygsl_monte_vegas_get_iterations(self._ptr)103    def get_stage      (self): return _callback.pygsl_monte_vegas_get_stage     (self._ptr)104    def get_mode       (self): return _callback.pygsl_monte_vegas_get_mode      (self._ptr)105    def get_verbose    (self): return _callback.pygsl_monte_vegas_get_verbose   (self._ptr)106    def get_ostream    (self): return _callback.pygsl_monte_vegas_get_ostream   (self._ptr)107    108    def set_result     (self, arg1): return _callback.pygsl_monte_vegas_set_result    (self._ptr, arg1)109    def set_sigma      (self, arg1): return _callback.pygsl_monte_vegas_set_sigma     (self._ptr, arg1)110    def set_chisq      (self, arg1): return _callback.pygsl_monte_vegas_set_chisq     (self._ptr, arg1)111    def set_alpha      (self, arg1): return _callback.pygsl_monte_vegas_set_alpha     (self._ptr, arg1)112    def set_iterations (self, arg1): return _callback.pygsl_monte_vegas_set_iterations(self._ptr, arg1)113    def set_stage      (self, arg1): return _callback.pygsl_monte_vegas_set_stage     (self._ptr, arg1)114    def set_mode       (self, arg1): return _callback.pygsl_monte_vegas_set_mode      (self._ptr, arg1)115    def set_verbose    (self, arg1): return _callback.pygsl_monte_vegas_set_verbose   (self._ptr, arg1)...

engine.py

Source:engine.py

1import abc2from typing import Optional, Any, Dict3from pytools.pytorch.typing import Callback4__all__ = ['Engine']5class Engine(object, metaclass=abc.ABCMeta):6    def __init__(self, callback: Optional[Callback]):7        self._callback = callback8    @property9    @abc.abstractmethod10    def global_step(self):11        raise NotImplementedError12    @property13    def callback(self):14        return self._callback15    def _prior_all(self):16        if self._callback is not None:17            self._callback.prior_all(self)18    def _after_all(self):19        if self._callback is not None:20            self._callback.after_all(self)21    def _prior_batch(self, inputs):22        if self._callback is not None:23            self._callback.prior_batch(self, inputs)24    def _after_batch(self, inputs, outputs):25        if self._callback is not None:26            self._callback.after_batch(self, inputs, outputs)27    def _prior_epoch(self, data_loader):28        if self._callback is not None:29            self._callback.prior_epoch(self, data_loader)30    def _after_epoch(self, data_loader):31        if self._callback is not None:32            self._callback.after_epoch(self, data_loader)33    def _prior_forward(self):34        if self._callback is not None:35            self._callback.prior_forward(self)36    def _after_forward(self):37        if self._callback is not None:38            self._callback.after_forward(self)39    def _prior_backward(self):40        if self._callback is not None:41            self._callback.prior_backward(self)42    def _after_backward(self):43        if self._callback is not None:44            self._callback.after_backward(self)45    def state_dict(self) -> Dict[str, Any]:46        return {47            'callback': self._callback.state_dict()48        }49    def load_state_dict(self, state: Dict[str, Any]):50        if 'callback' in state:...

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