ó \ K]c@svddlmZeddƒZdefd„ƒYZdefd„ƒYZeƒZd„Zd d „Zd „Z d S( iÿÿÿÿ(t namedtuplet _MemoryInfos free,totaltFakeCUDAContextcBsbeZdZd„Zd„Zd„Zd„Zed„ƒZed„ƒZ d„Z d„Z RS( s` This stub implements functionality only for simulating a single GPU at the moment. cCs ||_dS(N(t_device(tselftdevice((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt__init__ scCsdS(N((R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt __enter__ scCsdS(N((Rtexc_typetexc_valtexc_tb((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt__exit__scCsdjd|ƒS(NsR(tformat(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt__str__scCs|jS(N(R(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pytidscCsdS(Nii(ii((R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pytcompute_capabilityscCsdS(N((R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pytresetscCsttdƒtdƒƒS(sµ Cross-platform free / total host memory is hard without external dependencies, e.g. `psutil` - so return infinite memory to maintain API type compatibility tinf(Rtfloat(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pytget_memory_info!s( t__name__t __module__t__doc__RRR R tpropertyRRRR(((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyRs     tFakeDeviceListcBsJeZdZd„Zd„Zd„Zd„Zd„Zed„ƒZ RS(sÓ This stub implements a device list containing a single GPU. It also keeps track of the GPU status, i.e. whether the context is closed or not, which may have been set by the user calling reset() cCstdƒf|_t|_dS(Ni(RtlsttFalsetclosed(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyR/scCst|_|j|S(N(RRR(Rtdevnum((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt __getitem__3s cCs)djg|jD]}t|ƒ^qƒS(Ns, (tjoinRtstr(Rtd((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyR 7scCs t|jƒS(N(titerR(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt__iter__:scCs t|jƒS(N(tlenR(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt__len__=scCs|jr dS|jdS(Ni(RtNoneR(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pytcurrent@s ( RRRRRR R"R$RR&(((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyR)s     cCsttd_dS(Ni(tTruetgpusR(((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyRJsicCs t|ƒS(N(R(R((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyt get_contextNscCs|S(sP In the simulator, a context is always "available", so this is a no-op. ((tfunc((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pytrequire_contextRsN( t collectionsRRtobjectRRR(RR)R+(((sClib/python2.7/site-packages/numba/cuda/simulator/cudadrv/devices.pyts$