add Poisson tutorial
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@@ -125,17 +125,17 @@ class Plotter:
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pts.tensor[:, 1].reshape(res, res),
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]
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predicted_output = obj.model(pts)
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predicted_output = predicted_output['ux']
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predicted_output = predicted_output['u']
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if hasattr(obj.problem, 'truth_solution'):
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truth_output = obj.problem.truth_solution(*pts.tensor.T).float()
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fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(16, 6))
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cb = getattr(axes[0], method)(*grids_container, predicted_output.tensor.reshape(res, res).detach())
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cb = getattr(axes[0], method)(*grids_container, predicted_output.reshape(res, res).detach())
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fig.colorbar(cb, ax=axes[0])
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cb = getattr(axes[1], method)(*grids_container, truth_output.reshape(res, res).detach())
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fig.colorbar(cb, ax=axes[1])
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cb = getattr(axes[2], method)(*grids_container, (truth_output-predicted_output.tensor.float().flatten()).detach().reshape(res, res))
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cb = getattr(axes[2], method)(*grids_container, (truth_output-predicted_output.float().flatten()).detach().reshape(res, res))
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fig.colorbar(cb, ax=axes[2])
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else:
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fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(8, 6))
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@@ -147,7 +147,7 @@ class Plotter:
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plt.savefig(filename)
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else:
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plt.show()
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def plot_samples(self, obj):
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