9cae9a438f
* Enable DDP training with batch_size=None and add validity check for split sizes * Refactoring SolverInterfaces (#435) * Solver update + weighting * Updating PINN for 0.2 * Modify GAROM + tests * Adding more versatile loggers * Disable compilation when running on Windows * Fix tests --------- Co-authored-by: giovanni <giovanni.canali98@yahoo.it> Co-authored-by: FilippoOlivo <filippo@filippoolivo.com>
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
from .utils import check_consistency
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class Collector:
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def __init__(self, problem):
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# creating a hook between collector and problem
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self.problem = problem
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# those variables are used for the dataloading
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self._data_collections = {name: {} for name in self.problem.conditions}
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self.conditions_name = {
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i: name
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for i, name in enumerate(self.problem.conditions)
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}
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# variables used to check that all conditions are sampled
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self._is_conditions_ready = {
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name: False
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for name in self.problem.conditions
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}
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self.full = False
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@property
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def full(self):
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return all(self._is_conditions_ready.values())
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@full.setter
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def full(self, value):
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check_consistency(value, bool)
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self._full = value
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@property
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def data_collections(self):
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return self._data_collections
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@property
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def problem(self):
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return self._problem
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@problem.setter
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def problem(self, value):
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self._problem = value
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def store_fixed_data(self):
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# loop over all conditions
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for condition_name, condition in self.problem.conditions.items():
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# if the condition is not ready and domain is not attribute
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# of condition, we get and store the data
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if (not self._is_conditions_ready[condition_name]) and (not hasattr(
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condition, "domain")):
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# get data
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keys = condition.__slots__
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values = [getattr(condition, name) for name in keys]
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self.data_collections[condition_name] = dict(zip(keys, values))
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# condition now is ready
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self._is_conditions_ready[condition_name] = True
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def store_sample_domains(self):
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"""
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# TODO: Add docstring
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"""
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for condition_name in self.problem.conditions:
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condition = self.problem.conditions[condition_name]
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if not hasattr(condition, "domain"):
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continue
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samples = self.problem.discretised_domains[condition.domain]
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self.data_collections[condition_name] = {
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'input_points': samples,
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'equation': condition.equation
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}
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