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42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
from __future__ import division, print_function, absolute_import
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import CDTools
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from CDTools.tools import plotting as p
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from matplotlib import pyplot as plt
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import pickle
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import torch as t
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from CDTools.tools import cmath
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filename = 'example_data/lab_ptycho_data.cxi'
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dataset = CDTools.datasets.Ptycho2DDataset.from_cxi(filename)
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#dataset.inspect(units='mm')
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#plt.show()
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# dm_rank=-1 tells it to use a full-rank unified mode approximation
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model = CDTools.models.FancyPtycho.from_dataset(dataset, oversampling=1,n_modes=3, dm_rank=-1)
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model.to(device='cuda')
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dataset.get_as(device='cuda')
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model.translation_offsets.requires_grad = False
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for i, loss in enumerate(model.Adam_optimize(200, dataset)):
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model.inspect(dataset)
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print(i,loss)
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model.tidy_probes()
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for i, loss in enumerate(model.Adam_optimize(200, dataset, lr=0.0001)):
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model.inspect(dataset)
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print(i,loss)
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model.tidy_probes(normalize=True)
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model.inspect(dataset)
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with open('example_reconstructions/unified_modes.pickle', 'wb') as f:
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pickle.dump(model.save_results(dataset),f)
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model.compare(dataset)
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plt.show()
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