ó \ K]c@@s¾ddlmZmZddlZddlmZddlmZddl m Z m Z m Z m Z mZmZmZmZmZmZmZmZmZmZddlmZddlmZmZdd lmZdd l m!Z!ye"Wne#k re$Z"nXd e%fd „ƒYZ&d „Z'd„Z(ej)ddd„Z+d„Z,dde-dd„Z.d„Z/d„Z0d„Z1d„Z2d„Z3ej)ddd„Z4ej)ddd„Z5dS(i(tabsolute_importtprint_functionN(tmviewbuf(t get_contexti(t get_global_idtget_global_sizet get_local_idtget_local_sizet get_group_idt get_work_dimtget_num_groupstbarriert mem_fencetsharedt wavebarriertactivelanepermute_wavewidtht ds_permutet ds_bpermute(tjit(tCLK_LOCAL_MEM_FENCEtCLK_GLOBAL_MEM_FENCE(thsa(t devicearrayt_AutoDeregistercB@s#eZd„Zd„Zd„ZRS(cC@s ||_dS(N(targs(tselfR((s,lib/python2.7/site-packages/numba/roc/api.pyt__init__*scC@sdS(N((R((s,lib/python2.7/site-packages/numba/roc/api.pyt __enter__-scC@st|jŒdS(N(t deregisterR(Rtexc_typetexc_valtexc_tb((s,lib/python2.7/site-packages/numba/roc/api.pyt__exit__0s(t__name__t __module__RRR (((s,lib/python2.7/site-packages/numba/roc/api.pyR)s  cG@s[xN|D]F}t|tjƒr;tj|jj|jƒqtt |ƒƒ‚qWt |ƒS(sÐRegister data into the HSA system Returns a contextmanager for use in with-context for auto deregistration. Use in context: with hsa.register(array): do_work_on_HSA(array) ( t isinstancetnptndarrayt_hsadrvthsa_memory_registertctypestdatatnbytest TypeErrorttypeR(RR)((s,lib/python2.7/site-packages/numba/roc/api.pytregister4s cG@sUxN|D]F}t|tjƒr;tj|jj|jƒqtt |ƒƒ‚qWdS(s(Deregister data from the HSA system N( R#R$R%R&thsa_memory_deregisterR(R)R*R+R,(RR)((s,lib/python2.7/site-packages/numba/roc/api.pyRGs tCcC@s:t||||ƒ\}}}tjd|d|d|ƒS(sˆdevice_array(shape, dtype=np.float, strides=None, order='C') Allocate an empty device ndarray. Similar to :meth:`numpy.empty`. tshapetstridestdtype(t_prepare_shape_strides_dtypeRt DeviceNDArray(R0R2R1torder((s,lib/python2.7/site-packages/numba/roc/api.pyt device_arrayPs cC@s"td|jd|jd|jƒS(s<Call roc.devicearray() with information from the array. R0R2R1(R6R0R2R1(tary((s,lib/python2.7/site-packages/numba/roc/api.pytdevice_array_likeZscC@sS|p tƒ}|dkr-tj|ƒ}n|rO|j|d|d|ƒn|S(sõto_device(obj, context, copy=True, to=None) Allocate and transfer a numpy ndarray or structured scalar to the device. To copy host->device a numpy array:: ary = numpy.arange(10) d_ary = roc.to_device(ary) The resulting ``d_ary`` is a ``DeviceNDArray``. To copy device->host:: hary = d_ary.copy_to_host() To copy device->host to an existing array:: ary = numpy.empty(shape=d_ary.shape, dtype=d_ary.dtype) d_ary.copy_to_host(ary) tstreamtcontextN(RtNoneRtfrom_array_liketcopy_to_device(tobjR9R:tcopytto((s,lib/python2.7/site-packages/numba/roc/api.pyt to_device`s  cC@s tjƒS(N(R&t create_stream(((s,lib/python2.7/site-packages/numba/roc/api.pyR9€scC@sÞt|ƒ}dg|}|dkrt|j|ds2 ^