从numpy数组组装一个cython memoryview
我有一堆numpy数组作为python对象数组的属性，在cython中，为了prange处理（这需要nogil）做准备，我想创建一个在第一维中是“间接”的内存视图，维度引用numpy数组中的数据。 所以假设， objects是一个具有vector属性的对象列表。
我想要做一些事情：
cdef double[ ::cython.view.indirect, ::1 ] vectors
for object in objects:
vectors[ i ] = object.vector
但是，我应该如何初始化“矢量”才能使它成为可能？ 如果有可能呢？ 或者，也许一个内存视图只允许成为一个对象的内存视图...在这种情况下还有另外一个问题 - 如何动态地创建一个内存视图数组？
用下面的代码，你可以使用这个任务：
cimport stackoverflow_contrib
cdef double[::cython.view.indirect, ::1] vectors =
stackoverflow_contrib.OnceIndirect([object.vector for object in objects])
其中stackoverflow_contrib.pyx如下所示：
from libc.stdlib cimport malloc, free
from libc.string cimport strcmp
from cython.view cimport memoryview
from cpython cimport buffer
cdef class OnceIndirect:
cdef object _objects
cdef void** buf
cdef int ndim
cdef int n_rows
cdef int buf_len
cdef Py_ssize_t* shape
cdef Py_ssize_t* strides
cdef Py_ssize_t* suboffsets
cdef Py_ssize_t itemsize
cdef bytes format
cdef int is_readonly
def __cinit__(self, object rows, want_writable=True, want_format=True, allow_indirect=False):
"""
Set want_writable to False if you don't want writable data. (This may
prevent copies.)
Set want_format to False if your input doesn't support PyBUF_FORMAT (unlikely)
Set allow_indirect to True if you are ok with the memoryview being indirect
in dimensions other than the first. (This may prevent copies.)
"""
demand = buffer.PyBUF_INDIRECT if allow_indirect else buffer.PyBUF_STRIDES
if want_writable:
demand |= buffer.PyBUF_WRITABLE
if want_format:
demand |= buffer.PyBUF_FORMAT
self._objects = [memoryview(row, demand) for row in rows]
self.n_rows = len(self._objects)
self.buf_len = sizeof(void*) * self.n_rows
self.buf = <void**>malloc(self.buf_len)
self.ndim = 1 + self._objects[0].ndim
self.shape = <Py_ssize_t*>malloc(sizeof(Py_ssize_t) * self.ndim)
self.strides = <Py_ssize_t*>malloc(sizeof(Py_ssize_t) * self.ndim)
self.suboffsets = <Py_ssize_t*>malloc(sizeof(Py_ssize_t) * self.ndim)
cdef memoryview example_obj = self._objects[0]
self.itemsize = example_obj.itemsize
if want_format:
self.format = example_obj.view.format
else:
self.format = None
self.is_readonly |= example_obj.view.readonly
for dim in range(self.ndim):
if dim == 0:
self.shape[dim] = self.n_rows
self.strides[dim] = sizeof(void*)
self.suboffsets[dim] = 0
else:
self.shape[dim] = example_obj.view.shape[dim - 1]
self.strides[dim] = example_obj.view.strides[dim - 1]
if example_obj.view.suboffsets == NULL:
self.suboffsets[dim] = -1
else:
self.suboffsets[dim] = example_obj.suboffsets[dim - 1]
cdef memoryview obj
cdef int i = 0
for obj in self._objects:
assert_similar(example_obj, obj)
self.buf[i] = obj.view.buf
i += 1
def __getbuffer__(self, Py_buffer* buff, int flags):
if (flags & buffer.PyBUF_INDIRECT) != buffer.PyBUF_INDIRECT:
raise Exception("don't want to copy data")
if flags & buffer.PyBUF_WRITABLE and self.is_readonly:
raise Exception("couldn't provide writable, you should have demanded it earlier")
if flags & buffer.PyBUF_FORMAT:
if self.format is None:
raise Exception("couldn't provide format, you should have demanded it earlier")
buff.format = self.format
else:
buff.format = NULL
buff.buf = <void*>self.buf
buff.obj = self
buff.len = self.buf_len
buff.readonly = self.is_readonly
buff.ndim = self.ndim
buff.shape = self.shape
buff.strides = self.strides
buff.suboffsets = self.suboffsets
buff.itemsize = self.itemsize
buff.internal = NULL
def __dealloc__(self):
free(self.buf)
free(self.shape)
free(self.strides)
free(self.suboffsets)
cdef int assert_similar(memoryview left_, memoryview right_) except -1:
cdef Py_buffer left = left_.view
cdef Py_buffer right = right_.view
assert left.ndim == right.ndim
cdef int i
for i in range(left.ndim):
assert left.shape[i] == right.shape[i], (left_.shape, right_.shape)
assert left.strides[i] == right.strides[i], (left_.strides, right_.strides)
if left.suboffsets == NULL:
assert right.suboffsets == NULL, (left_.suboffsets, right_.suboffsets)
else:
for i in range(left.ndim):
assert left.suboffsets[i] == right.suboffsets[i], (left_.suboffsets, right_.suboffsets)
if left.format == NULL:
assert right.format == NULL, (bytes(left.format), bytes(right.format))
else:
#alternatively, compare as Python strings:
#assert bytes(left.format) == bytes(right.format)
assert strcmp(left.format, right.format) == 0, (bytes(left.format), bytes(right.format))
return 0
from cython cimport view
cimport numpy as np
import numpy as np
def show_memoryview(object x):
print dict(shape=x.shape, strides=x.strides, suboffsets=x.suboffsets, itemsize=x.itemsize)
def go():
row0 = np.array(range(20), dtype=np.float64).reshape(2, 10)
row1 = np.array(range(20, 40), dtype=np.float64).reshape(2, 10)
row2 = np.array(range(40, 60), dtype=np.float64).reshape(2, 10)
small_view = memoryview(row0, buffer.PyBUF_STRIDES)
show_memoryview(small_view)
rows = [row0, row1, row2]
big_view = OnceIndirect(rows)
cdef double[::view.indirect, :, :] big_view2 = big_view
cdef int i, j, k
show_memoryview(big_view2)
print row1
big_view2[1, 0, 1] += 200
print row1
cdef double[:, :] row1_view = big_view2[1]
assert row1_view[0, 1] >= 200
cdef double[::view.indirect, :, :] big_view3 = OnceIndirect([row0, row1, row0])
cdef double[::view.indirect, ::view.indirect, :, :] dub = OnceIndirect([big_view2, big_view3], allow_indirect=True)
show_memoryview(dub)
# big_view2 can be indexed and sliced in Cython and Python code
# note big_view2 is a cython memoryview object not a OnceIndirect object because it was implicitly cast to one
# rows, big_view, big_view2 all refer to the same data!
return (rows, big_view, big_view2)