fix codacy
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Nicola Demo
parent
513144dfaf
commit
b38c640c4d
@@ -15,7 +15,8 @@ class Plotter:
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"""
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Plot the training grid samples.
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:param AbstractProblem problem: The PINA problem from where to plot the domain.
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:param AbstractProblem problem: The PINA problem from where to plot
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the domain.
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:param list(str) variables: Variables to plot. If None, all variables
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are plotted. If 'spatial', only spatial variables are plotted. If
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'temporal', only temporal variables are plotted. Defaults to None.
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@@ -39,7 +40,8 @@ class Plotter:
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variables = problem.temporal_domain.variables
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if len(variables) not in [1, 2, 3]:
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raise ValueError('Samples can be plotted only in dimensions 1, 2 and 3.')
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raise ValueError('Samples can be plotted only in '
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'dimensions 1, 2 and 3.')
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fig = plt.figure()
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proj = '3d' if len(variables) == 3 else None
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@@ -96,7 +98,8 @@ class Plotter:
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if truth_solution:
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truth_output = truth_solution(pts).detach()
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ax.plot(pts.extract(v), truth_output, label='True solution', **kwargs)
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ax.plot(pts.extract(v), truth_output,
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label='True solution', **kwargs)
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# TODO: pred is a torch.Tensor, so no labels is available
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# extra variable for labels should be
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@@ -197,7 +200,8 @@ class Plotter:
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if len(components) > 1:
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raise NotImplementedError('Multidimensional plots are not implemented, '
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'set components to an available components of the problem.')
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'set components to an available components of'
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' the problem.')
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v = [
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var for var in solver.problem.input_variables
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if var not in fixed_variables.keys()
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@@ -213,7 +217,8 @@ class Plotter:
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pts = pts.to(device=solver.device)
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# computing soluting and sending to cpu
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predicted_output = solver.forward(pts).extract(components).as_subclass(torch.Tensor).cpu().detach()
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predicted_output = solver.forward(pts).extract(components)
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predicted_output = predicted_output.as_subclass(torch.Tensor).cpu().detach()
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pts = pts.cpu()
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truth_solution = getattr(solver.problem, 'truth_solution', None)
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