Install requirements?

[gatortim]

Hi,
It looks like this only compiles for Objective C. Am I doing something wrong with a gcc only machine, or is C++ not supported?

Thanks
-Tim

[andersbll]

Sounds very strange. I don't see how this can compile as Objective C. What errors do you get when executing the Makefile with a C++ compiler?

[gatortim]

Sorry, pretty poor issue description there.

Here is what I'm getting during python setup.py install:

cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ [enabled by default]
g++ -pthread -shared build/temp.linux-x86_64-2.7/./cudarray/wrap/cudart.o -L/usr/local/cuda-6.5/lib64 -L/home/tim/anaconda/lib -L/home/tim/anaconda/lib -lcudart -lcudarray -lpython2.7 -o build/lib.linux-x86_64-2.7/cudarray/wrap/cudart.so -fPIC
cythoning ./cudarray/wrap/array_data.pyx to ./cudarray/wrap/array_data.cpp

Error compiling Cython file:

...
from libcpp cimport bool
cimport numpy as np

cdef extern from 'cudarray/common.hpp' namespace 'cudarray':
ctypedef int bool_t;

^

cudarray/wrap/array_data.pxd:5:23: Syntax error in ctypedef statement

Error compiling Cython file:

...
@Property
def itemsize(self):
return self.dtype.itemsize

cdef bool_t *bool_ptr(ArrayData a):

^

cudarray/wrap/array_data.pyx:50:5: 'bool_t' is not a type identifier

Error compiling Cython file:

...

cdef int *int_ptr(ArrayData a):
return <int *> a.dev_ptr

cdef bool is_int(ArrayData a):

^

cudarray/wrap/array_data.pyx:62:5: 'bool' is not a type identifier

Error compiling Cython file:

...

cdef bool is_int(ArrayData a):
return a.dtype == np.dtype('int32')

cdef bool is_float(ArrayData a):

^

cudarray/wrap/array_data.pyx:66:5: 'bool' is not a type identifier

Error compiling Cython file:

...
self.dtype = dtype
self.nbytes = size*dtype.itemsize
self.owner = owner
self.offset = offset
if owner is None:
cudaCheck(cudaMalloc(&self.dev_ptr, self.nbytes))

^

cudarray/wrap/array_data.pyx:16:33: Cannot take address of Python variable

Error compiling Cython file:

...
if owner is None:
cudaCheck(cudaMalloc(&self.dev_ptr, self.nbytes))
else:
self.dev_ptr = owner.dev_ptr + offset*dtype.itemsize
if np_data is not None:
cudaCheck(cudaMemcpyAsync(self.dev_ptr, np.PyArray_DATA(np_data),

^

cudarray/wrap/array_data.pyx:20:42: Cannot convert Python object to 'void *'

Error compiling Cython file:

...
if np_data is not None:
cudaCheck(cudaMemcpyAsync(self.dev_ptr, np.PyArray_DATA(np_data),
self.nbytes, cudaMemcpyHostToDevice))

def to_numpy(self, np_array):
    cudaCheck(cudaMemcpy(np.PyArray_DATA(np_array), self.dev_ptr,
                                                       ^

---

cudarray/wrap/array_data.pyx:24:60: Cannot convert Python object to 'void const *'

Error compiling Cython file:

...
self.nbytes, cudaMemcpyDeviceToHost))
return np_array

def __dealloc__(self):
    if self.owner is None:
        cudaFree(self.dev_ptr)
                    ^

---

cudarray/wrap/array_data.pyx:30:25: Cannot convert Python object to 'void *'

Error compiling Cython file:

...
def itemsize(self):
return self.dtype.itemsize

cdef bool_t *bool_ptr(ArrayData a):
return <bool_t *> a.dev_ptr

^

cudarray/wrap/array_data.pyx:51:12: 'bool_t' is not a type identifier

Error compiling Cython file:

...
cdef bool_t *bool_ptr(ArrayData a):
return <bool_t *> a.dev_ptr

cdef float *float_ptr(ArrayData a):
return <float *> a.dev_ptr

^

cudarray/wrap/array_data.pyx:55:11: Python objects cannot be cast to pointers of primitive types

Error compiling Cython file:

...
cdef float *float_ptr(ArrayData a):
return <float *> a.dev_ptr

cdef int *int_ptr(ArrayData a):
return <int *> a.dev_ptr

I'm using anaconda and it looks like I've got cython 0.20.1

Did I miss a requirement here? Make and Make Install both complete without any apparent issue.

Thanks
-Tim

[andersbll]

You need the latest version of Cython (0.21). I have recently updated the requirements in setup.py to reflect this. Be sure to checkout the latest version of CUDArray.

Best,
Anders

[gatortim]

Hi Anders,
Works like a charm now. Thanks!
-Tim

[andersbll]

Good to hear! :)