a27bd35443
Refactoring for 0.2 * Data module, data loader and dataset * Refactor LabelTensor * Refactor solvers Co-authored-by: dario-coscia <dariocos99@gmail.com>
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
import torch
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import torch_geometric
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from .condition_interface import ConditionInterface
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from ..label_tensor import LabelTensor
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from ..graph import Graph
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from ..utils import check_consistency
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class InputOutputPointsCondition(ConditionInterface):
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"""
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Condition for domain/equation data. This condition must be used every
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time a Physics Informed or a Supervised Loss is needed in the Solver.
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"""
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__slots__ = ["input_points", "output_points"]
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def __init__(self, input_points, output_points):
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"""
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TODO : add docstring
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"""
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super().__init__()
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self.input_points = input_points
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self.output_points = output_points
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def __setattr__(self, key, value):
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if (key == 'input_points') or (key == 'output_points'):
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check_consistency(value, (LabelTensor, Graph, torch.Tensor, torch_geometric.data.Data))
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InputOutputPointsCondition.__dict__[key].__set__(self, value)
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elif key in ('_problem', '_condition_type'):
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super().__setattr__(key, value)
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