import cdtools
from matplotlib import pyplot as plt

# We load an example dataset from a .cxi file
filename = 'example_data/lab_ptycho_data.cxi'
dataset = cdtools.datasets.Ptycho2DDataset.from_cxi(filename)

# We create a ptychography model from the dataset
model = cdtools.models.SimplePtycho.from_dataset(dataset)

# We move the model to the GPU
device = 'cuda'
model.to(device=device)
dataset.get_as(device=device)

# We run the actual reconstruction
for loss in model.Adam_optimize(100, dataset, batch_size=10):
    # We print a quick report of the optimization status
    print(model.report())
    # And liveplot the updates to the model as they happen
    model.inspect(dataset)

# We study the results
model.inspect(dataset)
model.compare(dataset)
plt.show()