webdataset.filters
A small curry wrapper for the functions in the iterators
package.
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# # Copyright (c) 2017-2021 NVIDIA CORPORATION. All rights reserved. # This file is part of the WebDataset library. # See the LICENSE file for licensing terms (BSD-style). # """A small curry wrapper for the functions in the `iterators` package.""" from . import iterators class Curried2(object): """Helper class for currying pipeline stages. We use this roundabout construct becauce it can be pickled. """ def __init__(self, f, *args, **kw): """Create a curried function.""" self.f = f self.args = args self.kw = kw def __call__(self, data): """Call the curried function with the given argument.""" return self.f(data, *self.args, **self.kw) def __str__(self): """Compute a string representation.""" return f"<{self.f.__name__} {self.args} {self.kw}>" def __repr__(self): """Compute a string representation.""" return f"<{self.f.__name__} {self.args} {self.kw}>" class Curried(object): """Helper class for currying pipeline stages. We use this roundabout construct because it can be pickled. """ def __init__(self, f): """Store the function for future currying.""" self.f = f def __call__(self, *args, **kw): """Curry with the given arguments.""" return Curried2(self.f, *args, **kw) info = Curried(iterators.info) shuffle = Curried(iterators.shuffle) select = Curried(iterators.select) decode = Curried(iterators.decode) map = Curried(iterators.map) rename = Curried(iterators.rename) associate = Curried(iterators.associate) map_dict = Curried(iterators.map_dict) to_tuple = Curried(iterators.to_tuple) map_tuple = Curried(iterators.map_tuple) batched = Curried(iterators.batched) unbatched = Curried(iterators.unbatched)
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class Curried2(object): """Helper class for currying pipeline stages. We use this roundabout construct becauce it can be pickled. """ def __init__(self, f, *args, **kw): """Create a curried function.""" self.f = f self.args = args self.kw = kw def __call__(self, data): """Call the curried function with the given argument.""" return self.f(data, *self.args, **self.kw) def __str__(self): """Compute a string representation.""" return f"<{self.f.__name__} {self.args} {self.kw}>" def __repr__(self): """Compute a string representation.""" return f"<{self.f.__name__} {self.args} {self.kw}>"
Helper class for currying pipeline stages.
We use this roundabout construct becauce it can be pickled.
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def __init__(self, f, *args, **kw): """Create a curried function.""" self.f = f self.args = args self.kw = kw
Create a curried function.
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class Curried(object): """Helper class for currying pipeline stages. We use this roundabout construct because it can be pickled. """ def __init__(self, f): """Store the function for future currying.""" self.f = f def __call__(self, *args, **kw): """Curry with the given arguments.""" return Curried2(self.f, *args, **kw)
Helper class for currying pipeline stages.
We use this roundabout construct because it can be pickled.
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def __init__(self, f): """Store the function for future currying.""" self.f = f
Store the function for future currying.