问题描述
安装优胜美地后,我必须升级numpy,PyOpenGL等.
After installing Yosemite, I had to upgrade numpy, PyOpenGL, etc.
现在,一个以前可以正常工作的程序为我提供了以下堆栈跟踪:
Now, a previously-working program is giving me the following stack trace:
file "latebind.pyx", line 44, in OpenGL_accelerate.latebind.Curry.__call__ (src/latebind.c:1201)
File "/opt/local/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/OpenGL/GL/VERSION/GL_1_5.py", line 89, in glBufferData
return baseOperation( target, size, data, usage )
File "latebind.pyx", line 32, in OpenGL_accelerate.latebind.LateBind.__call__ (src/latebind.c:989)
File "wrapper.pyx", line 314, in OpenGL_accelerate.wrapper.Wrapper.__call__ (src/wrapper.c:6505)
File "wrapper.pyx", line 311, in OpenGL_accelerate.wrapper.Wrapper.__call__ (src/wrapper.c:6439)
ctypes.ArgumentError: ("argument 3: <class 'OpenGL.error.CopyError'>: from_param received a non-contiguous array! []", (GL_ARRAY_BUFFER, 0, array([],
dtype=[('time', '<f8'), ('data', [('cluster_index', '<i4'), ('delta_diag_out', '<f8')])]), GL_STREAM_DRAW))
看起来PyOpenGL希望我的数组是连续的.在PyOpenGL中查看numpy_formathandler.pyx中的源代码:
It looks like PyOpenGL wants my array to be contiguous. Looking at the source in numpy_formathandler.pyx in PyOpenGL:
if not PyArray_ISCARRAY( instance ):
raise CopyError(
"""from_param received a non-contiguous array! %s"""%(
working,
)
)
PyArray_ISCARRAY(arr)如果arr的数据区域为C样式连续且PyArray_ISBEHAVED(arr)为true,则评估为true.据此,"PyArray_ISBEHAVED(arr)如果arr的数据区域是对齐且可写的,并且根据其描述符以机器字节顺序进行计算,则为true."
And PyArray_ISCARRAY(arr) "Evaluates true if the data area of arr is C-style contiguous, and PyArray_ISBEHAVED (arr) is true." Whereby "PyArray_ISBEHAVED(arr)Evalutes true if the data area of arr is aligned and writeable and in machine byte-order according to its descriptor."
但是,推送到OpenGL的数组的flags
属性是:
However, the flags
attribute of the array that was pushed to OpenGL is:
C_CONTIGUOUS : True
F_CONTIGUOUS : True
OWNDATA : False
WRITEABLE : True
ALIGNED : False
UPDATEIFCOPY : False
也许我需要对齐数组?但是,将numpy.require
与requirements={'ALIGNED': True}
结合使用似乎无效.
Perhaps I need to align the array? But using numpy.require
with requirements={'ALIGNED': True}
doesn't seem to work.
我查看了numpy 1.9中的更改,这些更改指示:
I looked at the changes in numpy 1.9, which indicate:
NPY_RELAXED_STRIDES_CHECKING = 1 python setup.py安装
NPY_RELAXED_STRIDES_CHECKING=1 python setup.py install
您可以检查 通过运行以下命令是否有效NPY_RELAXED_STRIDES_CHECKING:
You can check whether NPY_RELAXED_STRIDES_CHECKING is in effect by running:
np.ones((10,1),order ="C").flags.f_contiguous
np.ones((10, 1), order="C").flags.f_contiguous
如果是,则为True 宽松的步幅检查已启用,否则为False.典型的 到目前为止,我们所看到的问题是与C相邻的C代码 数组,并假设可以通过查看来访问itemsize PyArray_STRIDES(arr)数组中的最后一个元素.放松的时候 迈进了一步,这是不正确的(事实上,从来没有 在某些情况下为真).而是使用PyArray_ITEMSIZE(arr).
This will be True if relaxed strides checking is enabled, and False otherwise. The typical problem we’ve seen so far is C code that works with C-contiguous arrays, and assumes that the itemsize can be accessed by looking at the last element in the PyArray_STRIDES(arr) array. When relaxed strides are in effect, this is not true (and in fact, it never was true in some corner cases). Instead, use PyArray_ITEMSIZE(arr).
但是,np.ones((10, 1), order="C").flags.f_contiguous
在我的系统上为False.所以我很沮丧.什么变化导致opengl认为我发送的数组不连续且未对齐?有没有办法用力对齐数组?
However, np.ones((10, 1), order="C").flags.f_contiguous
is False on my system. So I'm stumped. What changed that is causing opengl to think that the arrays I'm sending it are not contiguous and aligned? Is there a way to align an array by force?
推荐答案
这可能与numpy 1.9中的此错误有关,该错误未分配给任何人: https://github.com/numpy/numpy/issues/5224
This is probably related to this bug in numpy 1.9 to which no one is assigned: https://github.com/numpy/numpy/issues/5224
这篇关于OpenGL说"from_param接收到非连续数组".的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!