使用MemoryView时,有关NPY_NO_DEPRECATED_API的Cython Numpy警告

时间:2014-09-11 13:43:18

标签: python numpy cython memoryview

我正在将Cython内存视图转换为numpy数组(能够在纯Python代码中使用它):

from libc.stdlib cimport realloc
cimport numpy as np

DTYPE = np.float64
ctypedef np.float64_t DTYPE_t

cpdef np.ndarray[DTYPE_t] compute(DTYPE_t[:,::1] data):
    cdef unsigned int Nchannels = data.shape[0]
    cdef unsigned int Ndata = data.shape[1]
    cdef DTYPE_t* output = NULL
    cdef DTYPE_t[::1] mv

    output = <DTYPE_t*>realloc(output, Ndata*sizeof(output))
    if not output:
        raise MemoryError()
    mv = <DTYPE_t[:Ndata]>output
    mv[10:Ndata-10] = 0.0
    # various calculations...
    return np.asarray(mv, dtype=DTYPE, order='C')

它编译,但编译器发出以下警告:

/Users/vlad/anaconda/lib/python2.7/site-packages/numpy/core/include
/nump/npy_1_7_deprecated_api.h:15:2: warning:
"Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-W#warnings]

我在setup.py中添加了建议的指令:

from distutils.core import setup, Extension
from Cython.Build import cythonize
import numpy

filename = 'agents3.pyx'

agents_module = Extension(
    'Agents',
    sources = [filename],
    define_macros = [('NPY_NO_DEPRECATED_API', 'NPY_1_7_API_VERSION')],
    include_dirs = [numpy.get_include()],
)

setup (name = 'Agents',
    ext_modules = cythonize(agents_module)
)

现在它不会编译,它说:

Vlads-MacBook-Pro:program vlad$ python setup.py build_ext --inplace
Compiling agents3.pyx because it changed.
Cythonizing agents3.pyx
running build_ext
building 'Agents' extension
gcc -fno-strict-aliasing -I/Users/vlad/anaconda/include -arch x86_64 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/Users/vlad/anaconda/lib/python2.7/site-packages/numpy/core/include -I/Users/vlad/anaconda/include/python2.7 -c agents3.c -o build/temp.macosx-10.5-x86_64-2.7/agents3.o
agents3.c:2273:52: error: use of undeclared identifier 'NPY_C_CONTIGUOUS'
    __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS) != 0)) != 0);
                                                   ^
agents3.c:2311:52: error: use of undeclared identifier 'NPY_F_CONTIGUOUS'
    __pyx_t_1 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS) != 0)) != 0);
                                                   ^
agents3.c:2474:42: error: no member named 'descr' in 'struct tagPyArrayObject'
  __pyx_t_4 = ((PyObject *)__pyx_v_self->descr);
                           ~~~~~~~~~~~~  ^
agents3.c:4026:27: error: no member named 'base' in 'struct tagPyArrayObject'
  Py_XDECREF(__pyx_v_arr->base);
             ~~~~~~~~~~~  ^
/Users/vlad/anaconda/include/python2.7/object.h:823:34: note: expanded from macro 'Py_XDECREF'
#define Py_XDECREF(op) do { if ((op) == NULL) ; else Py_DECREF(op); } while (0)
                                 ^
agents3.c:4026:27: error: no member named 'base' in 'struct tagPyArrayObject'
  Py_XDECREF(__pyx_v_arr->base);
             ~~~~~~~~~~~  ^
/Users/vlad/anaconda/include/python2.7/object.h:823:64: note: expanded from macro 'Py_XDECREF'
#define Py_XDECREF(op) do { if ((op) == NULL) ; else Py_DECREF(op); } while (0)
                                                               ^
/Users/vlad/anaconda/include/python2.7/object.h:772:24: note: expanded from macro 'Py_DECREF'
        --((PyObject*)(op))->ob_refcnt != 0)            \
                       ^
agents3.c:4026:27: error: no member named 'base' in 'struct tagPyArrayObject'
  Py_XDECREF(__pyx_v_arr->base);
             ~~~~~~~~~~~  ^
/Users/vlad/anaconda/include/python2.7/object.h:823:64: note: expanded from macro 'Py_XDECREF'
#define Py_XDECREF(op) do { if ((op) == NULL) ; else Py_DECREF(op); } while (0)
                                                               ^
/Users/vlad/anaconda/include/python2.7/object.h:775:34: note: expanded from macro 'Py_DECREF'
        _Py_Dealloc((PyObject *)(op));                  \
                                 ^
/Users/vlad/anaconda/include/python2.7/object.h:762:15: note: expanded from macro '_Py_Dealloc'
    (*Py_TYPE(op)->tp_dealloc)((PyObject *)(op)))
              ^
/Users/vlad/anaconda/include/python2.7/object.h:115:47: note: expanded from macro 'Py_TYPE'
#define Py_TYPE(ob)             (((PyObject*)(ob))->ob_type)
                                              ^
agents3.c:4026:27: error: no member named 'base' in 'struct tagPyArrayObject'
  Py_XDECREF(__pyx_v_arr->base);
             ~~~~~~~~~~~  ^
/Users/vlad/anaconda/include/python2.7/object.h:823:64: note: expanded from macro 'Py_XDECREF'
#define Py_XDECREF(op) do { if ((op) == NULL) ; else Py_DECREF(op); } while (0)
                                                               ^
/Users/vlad/anaconda/include/python2.7/object.h:775:34: note: expanded from macro 'Py_DECREF'
        _Py_Dealloc((PyObject *)(op));                  \
                                 ^
/Users/vlad/anaconda/include/python2.7/object.h:762:45: note: expanded from macro '_Py_Dealloc'
    (*Py_TYPE(op)->tp_dealloc)((PyObject *)(op)))
                                            ^
agents3.c:4035:16: error: no member named 'base' in 'struct tagPyArrayObject'
  __pyx_v_arr->base = __pyx_v_baseptr;
  ~~~~~~~~~~~  ^
agents3.c:4070:30: error: no member named 'base' in 'struct tagPyArrayObject'
  __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0);
                ~~~~~~~~~~~  ^
agents3.c:4093:44: error: no member named 'base' in 'struct tagPyArrayObject'
    __Pyx_INCREF(((PyObject *)__pyx_v_arr->base));
                              ~~~~~~~~~~~  ^
agents3.c:1065:37: note: expanded from macro '__Pyx_INCREF'
  #define __Pyx_INCREF(r) Py_INCREF(r)
                                    ^
/Users/vlad/anaconda/include/python2.7/object.h:767:18: note: expanded from macro 'Py_INCREF'
    ((PyObject*)(op))->ob_refcnt++)
                 ^
agents3.c:4094:41: error: no member named 'base' in 'struct tagPyArrayObject'
    __pyx_r = ((PyObject *)__pyx_v_arr->base);
                           ~~~~~~~~~~~  ^
11 errors generated.
error: command 'gcc' failed with exit status 1
Vlads-MacBook-Pro:program vlad$ 

我该怎么办?可以保留已弃用的API调用吗?它试图访问base字段 - 但我没有这样做,这是Cython的错。我只是将一个内存视图转换为一个numpy数组。是否有另一种更清洁/更安全的方法呢?

3 个答案:

答案 0 :(得分:38)

仅供进一步参考,cython online docs说这是因为Cython使用的是已弃用的Numpy API,目前只是警告,我们可以忽略它。

答案 1 :(得分:0)

我也得到同样的警告,我说这是正常的。

使用numpy C API,如果你不喜欢这个警告,你需要在C脚本前放一行,但它只是告诉编译器忽略“不赞成”的消息 - 它似乎工作了两种方式相同。

我猜测Cython编译器在生成C代码时没有放入这行代码,我认为这不重要。

答案 2 :(得分:0)

假设有人希望隐藏弃用警告,可以使用clang extra_compile_args=['-Wno-#warnings']实现以下编译器标志。

对于gcc,extra_compile_args=['-Wno-cpp']实现了相同的目标。

当然,这也隐藏了其他预处理器指令警告。