Implementation of DataLoader and DataModule (#383)

Refactoring for 0.2
* Data module, data loader and dataset
* Refactor LabelTensor
* Refactor solvers

Co-authored-by: dario-coscia <dariocos99@gmail.com>
This commit is contained in:
Filippo Olivo
2024-11-27 16:01:39 +01:00
committed by Nicola Demo
parent dd43c8304c
commit a27bd35443
34 changed files with 827 additions and 1349 deletions

View File

@@ -18,12 +18,11 @@ class DataConditionInterface(ConditionInterface):
def __init__(self, input_points, conditional_variables=None):
"""
TODO
TODO : add docstring
"""
super().__init__()
self.input_points = input_points
self.conditional_variables = conditional_variables
self._condition_type = 'unsupervised'
def __setattr__(self, key, value):
if (key == 'input_points') or (key == 'conditional_variables'):

View File

@@ -16,16 +16,15 @@ class DomainEquationCondition(ConditionInterface):
def __init__(self, domain, equation):
"""
TODO
TODO : add docstring
"""
super().__init__()
self.domain = domain
self.equation = equation
self._condition_type = 'physics'
def __setattr__(self, key, value):
if key == 'domain':
check_consistency(value, (DomainInterface))
check_consistency(value, (DomainInterface, str))
DomainEquationCondition.__dict__[key].__set__(self, value)
elif key == 'equation':
check_consistency(value, (EquationInterface))

View File

@@ -17,12 +17,11 @@ class InputPointsEquationCondition(ConditionInterface):
def __init__(self, input_points, equation):
"""
TODO
TODO : add docstring
"""
super().__init__()
self.input_points = input_points
self.equation = equation
self._condition_type = 'physics'
def __setattr__(self, key, value):
if key == 'input_points':

View File

@@ -1,4 +1,5 @@
import torch
import torch_geometric
from .condition_interface import ConditionInterface
from ..label_tensor import LabelTensor
@@ -16,16 +17,15 @@ class InputOutputPointsCondition(ConditionInterface):
def __init__(self, input_points, output_points):
"""
TODO
TODO : add docstring
"""
super().__init__()
self.input_points = input_points
self.output_points = output_points
self._condition_type = ['supervised', 'physics']
def __setattr__(self, key, value):
if (key == 'input_points') or (key == 'output_points'):
check_consistency(value, (LabelTensor, Graph, torch.Tensor))
check_consistency(value, (LabelTensor, Graph, torch.Tensor, torch_geometric.data.Data))
InputOutputPointsCondition.__dict__[key].__set__(self, value)
elif key in ('_problem', '_condition_type'):
super().__setattr__(key, value)