from __future__ import division, print_function, absolute_import

import CDTools
from matplotlib import pyplot as plt
import pickle

filename = 'example_data/lab_ptycho_data.cxi'
dataset = CDTools.datasets.Ptycho2DDataset.from_cxi(filename)

dataset.inspect(units='mm')
plt.show()

model = CDTools.models.FancyPtycho.from_dataset(dataset, oversampling=2,
                                                probe_support_radius=90,
                                                n_modes=2,
                                                dm_rank=0,units='mm')
model.to(device='cuda')
dataset.get_as(device='cuda')


model.translation_offsets.requires_grad = False
for i, loss in enumerate(model.Adam_optimize(50, dataset)):
    model.inspect(dataset)
    print(i,loss)

model.tidy_probes()
exit()
with open('example_reconstructions/lab_ptycho.pickle', 'wb') as f:
    pickle.dump(model.save_results(dataset),f)

model.compare(dataset)
plt.show()