add Poisson tutorial

This commit is contained in:
aivagnes
2022-03-21 10:48:59 +01:00
parent beb33f0da2
commit 36a3ad94bf
2 changed files with 3709 additions and 4 deletions

View File

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