o ٷij"@sddlmZddlZddlZddlZddlmZddlmZddl m Z ddl m Z ddl mZddlmZdd lmZeGd d d Zd+ddZd,ddZd-ddZd.ddZd/d!d"Zd0d#d$Zd1d%d&Zejd1d'd(Zd2d)d*ZdS)3) annotationsN) dataclass)-_resolve_system_loaded_abs_path_in_subprocess)derive_ctk_root)supported_nvidia_headers)get_cuda_home_or_path)find_sub_dirs_all_sitepackages) IS_WINDOWSc@s(eZdZUded<ded<d ddZd S) LocatedHeaderDir str | Noneabs_pathstr found_viareturnNonecCst|j|_dSN) _abs_normr )selfr`/home/ubuntu/.local/lib/python3.10/site-packages/cuda/pathfinder/_headers/find_nvidia_headers.py __post_init__szLocatedHeaderDir.__post_init__N)rr)__name__ __module__ __qualname____annotations__rrrrrr s r pathr rcCs|r tjtj|SdSr)osrnormpathabspath)rrrrrsrdirpathr basenameboolcCstjtj||Sr)rrisfilejoin)rr rrr_joined_isfile$sr$sub_dir h_basenameLocatedHeaderDir | NonecCs6tt|dD]}t||rt|ddSq dS)N/z site-packagesr r)rtuplesplitr$r )r%r&hdr_dirrrr_locate_under_site_packages(s  r-libname anchor_pointcCs|g}|dkr |||dtjj|}|dkrHtr:tj|dd}tj|d}t||r3|St||r:|Stj|d}t||rH|St||rO|SdS)Nnvvmincludecccltargetsx64)appendrrr#r r$)r.r&r/partsidir cdir_ctk12 cdir_ctk13cdirrrr_locate_based_on_ctk_layout1s&       r; ctk_layoutcCstjd}|s dStrtj|d}tj|sdSn,|r;ttj|ddd}|s.dSt|dkr6dS|d}ntj|d}tj |}t |||}|rVt |dd SdS) N CONDA_PREFIXLibraryr3*r1rcondar)) renvirongetr rr#isdirgloblendirnamer;r )r.r&r< conda_prefixr/targets_include_path include_pathfound_header_pathrrr_find_based_on_conda_layoutGs*       rLcCs4td}|dur dSt|}|durdSt|||S)a-Try CTK header lookup via CTK-root canary probing. Uses the same canary as dynamic-library CTK-root discovery: system-load ``cudart`` in a spawned child process, derive CTK root from the resolved absolute library path, then search the expected CTK include layout under that root. cudartN)rrr;)r.r&canary_abs_pathctk_rootrrr%_find_ctk_header_directory_via_canarybs rPcCstj|}tj|}|D] }t||}r|Sq t||d}r$|St}|r7t|||}r7t|ddSt||}rDt|ddSdS)NT CUDA_HOMEr)zsystem-ctk-root) rSUPPORTED_HEADERS_CTK&SUPPORTED_SITE_PACKAGE_HEADER_DIRS_CTKr-rLrr;r rP)r.r&candidate_dirsr:r, cuda_homeresultrrr_find_ctk_header_directoryss    rWcCs|tjvr t|Stj|}|durtd|tj|g}|D] }t||}r0|Sq#t||d}r;|Stj |g}|D]}t t |ddD]}t ||r`t |ddSqOqDdS)aLocate the header directory for a supported NVIDIA library. Args: libname (str): The short name of the library whose headers are needed (e.g., ``"nvrtc"``, ``"cusolver"``, ``"nvshmem"``). Returns: LocatedHeaderDir or None: A LocatedHeaderDir object containing the absolute path to the discovered header directory and information about where it was found, or ``None`` if the headers cannot be found. Raises: RuntimeError: If ``libname`` is not in the supported set. Search order: 1. **NVIDIA Python wheels** - Scan installed distributions (``site-packages``) for header layouts shipped in NVIDIA wheels (e.g., ``cuda-toolkit[nvrtc]``). 2. **Conda environments** - Check Conda-style installation prefixes, which use platform-specific include directory layouts. 3. **CUDA Toolkit environment variables** - Use ``CUDA_HOME`` or ``CUDA_PATH`` (in that order). 4. **CTK root canary probe** - Probe a system-loaded ``cudart`` in a spawned child process, derive the CTK root from the resolved library path, then search CTK include layout under that root. NzUNKNOWN libname=FT)reversesupported_install_dirr))rrRrWSUPPORTED_HEADERS_NON_CTKrC RuntimeError*SUPPORTED_SITE_PACKAGE_HEADER_DIRS_NON_CTKr-rLSUPPORTED_INSTALL_DIRS_NON_CTKsortedrEr$r )r.r&rTr: found_hdrr,rrrlocate_nvidia_header_directorys( &  r`cCst|}|r |jSdS)aLocate the header directory for a supported NVIDIA library. Args: libname (str): The short name of the library whose headers are needed (e.g., ``"nvrtc"``, ``"cusolver"``, ``"nvshmem"``). Returns: str or None: Absolute path to the discovered header directory, or ``None`` if the headers cannot be found. Raises: RuntimeError: If ``libname`` is not in the supported set. Search order: 1. **NVIDIA Python wheels** - Scan installed distributions (``site-packages``) for header layouts shipped in NVIDIA wheels (e.g., ``cuda-toolkit[nvrtc]``). 2. **Conda environments** - Check Conda-style installation prefixes, which use platform-specific include directory layouts. 3. **CUDA Toolkit environment variables** - Use ``CUDA_HOME`` or ``CUDA_PATH`` (in that order). 4. **CTK root canary probe** - Probe a system-loaded ``cudart`` in a spawned child process, derive the CTK root from the resolved library path, then search CTK include layout under that root. N)r`r )r.foundrrrfind_nvidia_header_directorys#rb)rr rr )rr r r rr!)r%r r&r rr')r.r r&r r/r rr )r.r r&r r<r!rr')r.r r&r rr )r.r rr')r.r rr ) __future__r functoolsrEr dataclassesr5cuda.pathfinder._dynamic_libs.load_nvidia_dynamic_libr*cuda.pathfinder._dynamic_libs.search_stepsrcuda.pathfinder._headersrcuda.pathfinder._utils.env_varsr$cuda.pathfinder._utils.find_sub_dirsr%cuda.pathfinder._utils.platform_awarer r rr$r-r;rLrPrWcacher`rbrrrrs.               ?