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36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
""" This module contains all the datasets for interacting with ptychography data
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All the access to data from standard ptychography and CDI experiments is
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coordinated through the various datasets defined in this module. They make use
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of the lower-level data reading and writing functions defined in tools.data,
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but critically all of these datasets subclass torch.Dataset. This allows
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them to be used as standard torch datasets during reconstructions, which
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helps make it easy to use the various data-handling strategies that are
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implemented by default in pytorch (such as drawing data in a random order,
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drawing minibatches, etc.)
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New Datasets can be defined a subclass of the main CDataset class defined
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in the base.py file. Example implementations of all these functions
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can be found in the code for the Ptycho2DDataset class. In addition, it is
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recommended to read through the tutorial section on defining a new CDI
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dataset before attempting to do so
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* __init__
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* __len__
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* _load
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* to
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* from_cxi
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* to_cxi
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* inspect
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"""
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from __future__ import division, print_function, absolute_import
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# I don't believe that __all__ really needed, but it's nice to define it
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# to be explicit that import * is safe
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__all__ = ['CDataset','Ptycho2DDataset']
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from CDTools.datasets.base import CDataset
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from CDTools.datasets.ptycho_2d_dataset import Ptycho2DDataset
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