Update tutorials 1 through 7
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Nicola Demo
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tutorials/tutorial4/tutorial.ipynb
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tutorials/tutorial4/tutorial.ipynb
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tutorials/tutorial4/tutorial.py
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tutorials/tutorial4/tutorial.py
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@@ -23,13 +23,13 @@ if IN_COLAB:
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import torch
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import matplotlib.pyplot as plt
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plt.style.use('tableau-colorblind10')
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import torchvision # for MNIST dataset
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from pina.problem import AbstractProblem
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from pina.solver import SupervisedSolver
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from pina.trainer import Trainer
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from pina import Condition, LabelTensor
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from pina.model.block import ContinuousConvBlock
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import torchvision # for MNIST dataset
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from pina.model import FeedForward # for building AE and MNIST classification
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@@ -508,7 +508,7 @@ class CircleProblem(AbstractProblem):
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input_variables = ['x', 'y', 'f']
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output_variables = input_variables
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al=LabelTensor(input_data, input_variables)
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conditions = {'data' : Condition(input_points=LabelTensor(input_data, input_variables), output_points=LabelTensor(input_data, output_variables))}
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conditions = {'data' : Condition(input=LabelTensor(input_data, input_variables), target=LabelTensor(input_data, output_variables))}
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# define the solver
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solver = SupervisedSolver(problem=CircleProblem(), model=net, loss=torch.nn.MSELoss(), use_lt=True)
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