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Python pickle ファイルに書き込むときに非標準のストライドを保持するように numpy に指示する方法はありますか?

>>> # Create an array with non-standard striding
>>> x = numpy.arange(2*3*4, dtype='uint8').reshape((2,3,4)).transpose(0,2,1)

>>> x.strides
(12, 1, 4)

>>> # The pickling process converts it to a c-contiguous array.
>>> # Often, this is a good thing, but for some applications, the
>>> # non-standard striding is intentional and important to preserve.
>>> pickled = cPickle.dumps(x, protocol=cPickle.HIGHEST_PROTOCOL)
>>> cPickle.loads(pickled).strides
(12, 3, 1)

>>> # This is indeed happening during serialization, not deserialization
>>> pickletools.dis(pickled)
...
151: S        STRING     '\x00\x04\x08\x01\x05\t\x02\x06\n\x03\x07\x0b\x0c\x10\x14\r\x11\x15\x0e\x12\x16\x0f\x13\x17'
...

注: numpy は c-contiguous または fortran-contiguous を保持するのに十分スマートですが、pickling と unpickling の間ですべての非標準ストライド パターンを保持するわけではありません。

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1 に答える 1

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私が考えることができる唯一の方法は、自分でそれを行うことです:

# ---------------------------------------------
import numpy
from numpy.lib.stride_tricks import as_strided
import cPickle

def dumps(x, protocol=cPickle.HIGHEST_PROTOCOL):
    # flatten that keep real data order
    y = as_strided(x, shape=(x.size,), strides=(min(x.strides),))
    return cPickle.dumps([y,x.shape,x.strides],protocol=protocol)

def loads(pickled):
    y,shape,strides = cPickle.loads(pickled)
    return as_strided(y,shape=shape,strides=strides)

if __name__=='__main__':
    x = numpy.arange(2*3*4, dtype='uint8').reshape((2,3,4)).transpose(0,2,1)

    pickled = dumps(x)
    y = loads(pickled)

    print 'x strides =', x.strides
    print 'y strides =', y.strides
    print 'x==y:', (x==y).all()
# ---------------------------------------------

出力:

x strides = (12, 1, 4)
y strides = (12, 1, 4)
x==y: True
于 2012-12-06T10:16:24.157 に答える