ó àÆ÷Xc@`soddlmZmZmZddlZddlmZeje krVe dƒ‚ne d„Z d„Z dS(i(tabsolute_importtprint_functiontdivisionN(tcudas%Optional theano package cuda disabledcC`sôt|tjƒs!tdƒ‚nÏd}t}xht|jdddƒD]M}|j|dkrfqGn|j||krƒt }Pn||j|9}qGW|sÂ|r³|j ƒ}qÂtdƒ‚nt j j |j|jd|d|jƒ}|SdS(sÈ take a CudaNdarray and return a pycuda.gpuarray.GPUArray :type x: CudaNdarray :param x: The array to transform to pycuda.gpuarray.GPUArray. :type copyif: bool :param copyif: If False, raise an error if x is not c contiguous. If it is c contiguous, we return a GPUArray that share the same memory region as x. If True, copy x if it is no c contiguous, so the return won't shape the same memory region. If c contiguous, the return will share the same memory region. We need to do this as GPUArray don't fully support strided memory. :return type: pycuda.gpuarray.GPUArray s<We can transfer only CudaNdarray to pycuda.gpuarray.GPUArrayiiÿÿÿÿsEWe were asked to not copy memory, but the memory is not c contiguous.tbasetgpudataN(t isinstanceRt CudaNdarrayt ValueErrortTruetrangetndimtshapet_stridestFalsetcopytpycudatgpuarraytGPUArraytdtypeR(txtcopyiftsizet c_contiguoustitpx((s8/tmp/pip-build-X4mzal/theano/theano/misc/pycuda_utils.pyt to_gpuarray s" *cC`sÐt|tjjƒs$tdƒ‚n¨|jdkrBtdƒ‚nŠdg}x7|jddd…d D]}|j|d|ƒqfWt|ddd…ƒ}t |j ƒ}t j ||j||ƒ}|SdS(s© take a pycuda.gpuarray.GPUArray and make a CudaNdarray that point to its memory :note: CudaNdarray support only float32, so only float32 GPUArray are accepted s<We can transfer only pycuda.gpuarray.GPUArray to CudaNdarraytfloat32s CudaNdarray support only float32iNiÿÿÿÿ( RRRRRRR tappendttupletintRRtfrom_gpu_pointer(RtstridesRtptrtz((s8/tmp/pip-build-X4mzal/theano/theano/misc/pycuda_utils.pytto_cudandarray2s !( t __future__RRRtpycuda.gpuarrayRttheano.sandboxRtcuda_availableRt ImportErrorRR#(((s8/tmp/pip-build-X4mzal/theano/theano/misc/pycuda_utils.pyts   )