On 2013/03/04 9:01 PM, Nicolas Rougier wrote:
>> >This made me think of a serious performance limitation of structured
>> >dtypes: a
>> >structured dtype is always "packed", which may lead to terrible byte
>> >alignment
>> >for common types. For instance, `dtype([('a', 'u1'), ('b',
>> >'u8')]).itemsize == 9`,
>> >meaning that the 8-byte integer is not aligned as an equivalent C-struct's
>> >would be, leading to all sorts of horrors at the cache and register level.
Doesn't the "align" kwarg of np.dtype do what you want?
In [2]: dt = np.dtype(dict(names=['a', 'b'], formats=['u1', 'u8']),
align=True)
In [3]: dt.itemsize
Out[3]: 16
Eric
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