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43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
from __future__ import division, print_function, absolute_import
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import CDTools
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from CDTools.tools import cmath
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from CDTools.tools.plotting import *
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import h5py
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import torch as t
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import numpy as np
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filename = '../../../Projects/CSX_3_19/cxis/processed/114429_p.cxi'
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filename = '../../../Projects/CSX_3_19/cxis/processed/115145_p.cxi'
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filename = '../../../Downloads/AuBalls_700ms_30nmStep_3_3SS_filter.cxi'
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with h5py.File(filename,'r') as f:
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dataset = CDTools.datasets.Ptycho_2D_Dataset.from_cxi(f)
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model = CDTools.models.SimplePtycho.from_dataset(dataset)
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# Uncomment these to use on the CPU
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# default is CPU with 32-bit floats
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model.to(device='cuda')
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#dataset.to(device='cuda')
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dataset.get_as(device='cuda')
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#model.probe.requires_grad = False
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for loss in model.Adam_optimize(10, dataset):
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print(loss)
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#for loss in model.Adam_optimize(20, dataset, lr=0.0005):
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# print(loss)
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from matplotlib import pyplot as plt
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plot_amplitude(model.probe)
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plot_phase(model.probe)
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plot_amplitude(model.obj)
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plot_phase(model.obj)
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plt.show()
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