.Vi&%SSKrSSKrSSKrSSKrSSKrSSKrSSKrSSKrSSKrSSK r SSK r SSK r SSK J r SSKJr SSKJr SSKJrJr SSKJr SSKJrJr SSKrSSKJr "S S 5rSS KJr /S Qr \RB"S 5r"Sr#Sr$Sr%Sr&Sr'Sr(Sr)Sr*Sq+\,S-\-S'\R\S5r/Sr0Sr1Sr2Sr3Sr4Sr5Sr6Sr7SAS"jr8SBS#jr9S$r:S%r;S&r\DS?\,S-S<\DS'\H\,\44S@jjrJg!\a \rGNf=f)GN)Path)Any) deprecated) HTTPErrorURLError)urlparse)Requesturlopen) MAP_LOCATIONcB\rSrSrS SjrSrSrSrSrSr S r S r g) _FaketqdmNc*XlX lSUlgNr)totaldisablen)selfrrunitargskwargss ND:\a\ltx-desktop-ci\ltx-desktop-ci\python-embed\Lib\site-packages\torch\hub.py__init___Faketqdm.__init__s  cUR(agU=RU- slURc/[RR SURSS35 OG[RR SSUR-[ UR5- SS35 [RR5 g)N z.1fz bytesd%)rrrsysstderrwritefloatflush)rrs rupdate_Faketqdm.update s <<  !  ::  JJ  r$&&V4 5 JJ  r#,tzz1B"B3!GqI J rcgN)rrrs rset_description_Faketqdm.set_description,s rcH[RRUS35 gN )r r!r")rss rr"_Faketqdm.write/s A3b"rcSUlgNT)rrs rclose_Faketqdm.close2s  rcU$r(r)r3s r __enter___Faketqdm.__enter__5s rcfUR(ag[RRS5 gr-)rr r!r")rexc_typeexc_valexc_tbs r__exit___Faketqdm.__exit__8s <<  r)rrr)NFN) __name__ __module__ __qualname____firstlineno__rr%r*r"r4r7r=__static_attributes__r)rrr r s%  #rr )tqdm)download_url_to_fileget_dirhelplistloadload_state_dict_from_urlset_dirz-([a-f0-9]*)\.)facebookresearchfacebookincubatorpytorch fairinternal GITHUB_TOKEN TORCH_HOMEXDG_CACHE_HOMEz~/.cache dependenciesz hubconf.pyi_hub_dirc## [RRSU5 Sv [RRU5 g![RRU5 f=f7fr)r pathinsertremoverVs r_add_to_sys_pathrZas?HHOOAt  s!A,A A,!A))A,cSSKnSSKJn URR X5nUceURR U5n[ URU5(deURRU5 U$)Nr)Loader) importlib.util importlib.abcr\utilspec_from_file_locationmodule_from_spec isinstanceloader exec_module)namerV importlibr\specmodules r_import_moduleriksj$ >> 1 1$ =D    ^^ , ,T 2F dkk6 * ** *KKF# Mrc[RRU5(aR[RRU5(a[R"U5 g[ R "U5 ggr()osrVexistsisfilerXshutilrmtreerYs r_remove_if_existsrpwsD ww~~d 77>>$   IIdO MM$  rcSUSUSU3$)Nhttps://github.com//z /zipball/r)) repo_owner repo_namerefs r_git_archive_linkrws  Ai[ # GGrc8U[U5;ag[X5$r()dirgetattr)rh func_names r_load_attr_from_moduler|sF # 6 %%rc [RR[R"[[RR [R"[ [5S555nU$)Ntorch)rkrV expandusergetenvENV_TORCH_HOMEjoinENV_XDG_CACHE_HOMEDEFAULT_CACHE_DIR) torch_homes r_get_torch_homersL##  GGLL#57HI7 S J rc SU;aURS5upOUSp!URS5up4Uc[SUSUS35 SnSSS5 X4U4$!,(df  N=f![anURS:XaSnSnAN6eSnAf[ainSH>n[ R R[5SUS US U35(dM<Un O Uc[S [5S 35UeSnANSnAff=f) N:rsrrz /tree/main/mainimaster)rr_z\It looks like there is no internet connection and the repo could not be found in the cache ()) splitr rcoderrkrVrlrF RuntimeError)github repo_inforvrtrue possible_refs r_parse_repo_infors f}c* 33%OOC0J { .zl!I;kRST( # %%)TS vv}  2 77>>yk:,a {!L>J'C !3 {"==DYKqJ sMA'A A' A$ A'$A'' C?1B B  C?:C:!C::C?c[U5nUR5RURR S55sSSS5 $!,(df  g=f)Nzutf-8)r readdecodeheadersget_content_charset)urlrs r _read_urlrs6 vvxqyy<('/G%SF' ** )s, )_check_repo_is_trusted..@s>( # # X h4> | +:; ^^  034 45hZqAB B  (C D JJzD( )!  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N)rkrVrrT)r s rrKrKsww!!!$Hrc z[UUUSUUS9n[U5 [RR U[ 5n[ [ U5nSSS5 [W5Vs/sH8n[[Xx55(dMURS5(aM6UPM: n nU $!,(df  N^=fs snf)a List all callable entrypoints available in the repo specified by ``github``. Args: github (str): a string with format "repo_owner/repo_name[:ref]" with an optional ref (tag or branch). If ``ref`` is not specified, the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. Example: 'pytorch/vision:0.10' force_reload (bool, optional): whether to discard the existing cache and force a fresh download. Default is ``False``. skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit specified by the ``github`` argument properly belongs to the repo owner. This will make requests to the GitHub API; you can specify a non-default GitHub token by setting the ``GITHUB_TOKEN`` environment variable. Default is ``False``. trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. This parameter was introduced in v1.12 and helps ensuring that users only run code from repos that they trust. - If ``False``, a prompt will ask the user whether the repo should be trusted. - If ``True``, the repo will be added to the trusted list and loaded without requiring explicit confirmation. - If ``"check"``, the repo will be checked against the list of trusted repos in the cache. If it is not present in that list, the behaviour will fall back onto the ``trust_repo=False`` option. - If ``None``: this will raise a warning, inviting the user to set ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This is only present for backward compatibility and will be removed in v2.0. Default is ``None`` and will eventually change to ``"check"`` in v2.0. verbose (bool, optional): If ``False``, mute messages about hitting local caches. Note that the message about first download cannot be muted. Default is ``True``. Returns: list: The available callables entrypoint Example: >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) >>> entrypoints = torch.hub.list("pytorch/vision", force_reload=True) rHrrNr) rrZrkrVrMODULE_HUBCONFriryrrzr) rrrrrr hubconf_path hub_modulef entrypointss rrHrHsb$' H ( #ww||Hn= #NLA  $Z A GJ* + 45LL4E    $ # s5B'$B8B8B8' B5c [UUUSSUS9n[U5 [RR U[ 5n[ [ U5nSSS5 [WU5nUR$!,(df  N&=f)a Show the docstring of entrypoint ``model``. Args: github (str): a string with format with an optional ref (a tag or a branch). If ``ref`` is not specified, the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. Example: 'pytorch/vision:0.10' model (str): a string of entrypoint name defined in repo's ``hubconf.py`` force_reload (bool, optional): whether to discard the existing cache and force a fresh download. Default is ``False``. skip_validation (bool, optional): if ``False``, torchhub will check that the ref specified by the ``github`` argument properly belongs to the repo owner. This will make requests to the GitHub API; you can specify a non-default GitHub token by setting the ``GITHUB_TOKEN`` environment variable. Default is ``False``. trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. This parameter was introduced in v1.12 and helps ensuring that users only run code from repos that they trust. - If ``False``, a prompt will ask the user whether the repo should be trusted. - If ``True``, the repo will be added to the trusted list and loaded without requiring explicit confirmation. - If ``"check"``, the repo will be checked against the list of trusted repos in the cache. If it is not present in that list, the behaviour will fall back onto the ``trust_repo=False`` option. - If ``None``: this will raise a warning, inviting the user to set ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This is only present for backward compatibility and will be removed in v2.0. Default is ``None`` and will eventually change to ``"check"`` in v2.0. Example: >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) >>> print(torch.hub.help("pytorch/vision", "resnet18", force_reload=True)) rGTr N) rrZrkrVrrrir__doc__) rrrrrrrrentrys rrGrGsqJ$' H ( #ww||Hn= #NLA  $ %Z 7E == $ #s 5A// A=r)sourcerrrrc UR5nUS;a[SUS35eUS:Xa[UUUSUUS9n[X/UQ70UD6nU$)a Load a model from a github repo or a local directory. Note: Loading a model is the typical use case, but this can also be used to for loading other objects such as tokenizers, loss functions, etc. If ``source`` is 'github', ``repo_or_dir`` is expected to be of the form ``repo_owner/repo_name[:ref]`` with an optional ref (a tag or a branch). If ``source`` is 'local', ``repo_or_dir`` is expected to be a path to a local directory. Args: repo_or_dir (str): If ``source`` is 'github', this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. If ``source`` is 'local' then it should be a path to a local directory. model (str): the name of a callable (entrypoint) defined in the repo/dir's ``hubconf.py``. *args (optional): the corresponding args for callable ``model``. source (str, optional): 'github' or 'local'. Specifies how ``repo_or_dir`` is to be interpreted. Default is 'github'. trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. This parameter was introduced in v1.12 and helps ensuring that users only run code from repos that they trust. - If ``False``, a prompt will ask the user whether the repo should be trusted. - If ``True``, the repo will be added to the trusted list and loaded without requiring explicit confirmation. - If ``"check"``, the repo will be checked against the list of trusted repos in the cache. If it is not present in that list, the behaviour will fall back onto the ``trust_repo=False`` option. - If ``None``: this will raise a warning, inviting the user to set ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This is only present for backward compatibility and will be removed in v2.0. Default is ``None`` and will eventually change to ``"check"`` in v2.0. force_reload (bool, optional): whether to force a fresh download of the github repo unconditionally. Does not have any effect if ``source = 'local'``. Default is ``False``. verbose (bool, optional): If ``False``, mute messages about hitting local caches. Note that the message about first download cannot be muted. Does not have any effect if ``source = 'local'``. Default is ``True``. skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit specified by the ``github`` argument properly belongs to the repo owner. This will make requests to the GitHub API; you can specify a non-default GitHub token by setting the ``GITHUB_TOKEN`` environment variable. Default is ``False``. **kwargs (optional): the corresponding kwargs for callable ``model``. Returns: The output of the ``model`` callable when called with the given ``*args`` and ``**kwargs``. Example: >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) >>> # from a github repo >>> repo = "pytorch/vision" >>> model = torch.hub.load( ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" ... ) >>> # from a local directory >>> path = "/some/local/path/pytorch/vision" >>> # xdoctest: +SKIP >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") )rlocalzUnknown source: "z&". Allowed values: "github" | "local".rrIr )rrr _load_local) repo_or_dirrrrrrrrrs rrIrI.stb\\^F ((x'M N  *    +    >> # xdoctest: +SKIP("stub local path") >>> path = "/some/local/path/pytorch/vision" >>> model = _load_local( ... path, ... "resnet50", ... weights="ResNet50_Weights.IMAGENET1K_V1", ... ) N)rZrkrVrrrir) hubconf_dirrrrrrrs rrrsa0 + &ww||K@ #NLA (;t&v& ' L ' & Ls AA A-rdst hash_prefixrc *[RRU5n[[R 5H8nUS-[ R"5R-S-n[US5n O [[RS5e[USS0S9n[U5nUR5n [!U S5(aU R#S 5n OU R%S 5n S n U b['U 5S :a[)U S 5n Ub[*R,"5OS n [/U U(+S S SS9n UR1[25n['U5S :XaOAUR5U5 U bU R7U5 U R7['U55 MfS S S 5 UR95 U b7Ub4U R;5nUS ['U5U:wa[=SUSUS35eS S S 5 [>R@"URBU5 UR95 [RREURB5(a![RF"URB5 g g ![a GMRf=f!,(df  N=f!,(df  N=f!UR95 [RREURB5(a![RF"URB5 ff=f)aDownload object at the given URL to a local path. Args: url (str): URL of the object to download dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. Default: None progress (bool, optional): whether or not to display a progress bar to stderr Default: True Example: >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) >>> # xdoctest: +REQUIRES(POSIX) >>> torch.hub.download_url_to_file( ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", ... "/tmp/temporary_file", ... ) rz.partialzw+bz#No usable temporary file name foundz User-Agentz torch.hubr getheaderszContent-LengthNrBTi)rrr unit_scale unit_divisorzinvalid hash value (expected "z", got "z"))$rkrVrrangetempfileTMP_MAXuuiduuid4hexrFileExistsErrorerrnoEEXISTr r infohasattrr get_allleninthashlibsha256rDrREAD_DATA_CHUNKr"r%r4 hexdigestrrnrrerlrX)rrrrrtmp_dstrrequmetacontent_length file_sizer3pbarbufferdigests rrErEs< ''  S !C 8## $)djjl...; We$A  %ell,QRR # k: ;C' S\Q668Dt\**!%1A!B!%.>!?I)c..AA.Eq 12 )4)@W^^%dF$ !  VVO4F6{a'GGFO) f-KKF , GGI!k&=))+,C ,-<&8 XfXUWX?D  AFFC   77>>!&& ! ! IIaff  "Y   $\H  77>>!&& ! ! IIaff  "sR% I= J1'BJ :A(J"AJ 4)J1= J  J  J J  J.*J11A!Lrc[R"U5(a\[R"U5nUR5nSSS5 [ W5S:H=(a USR 5(+$g!,(df  N<=f)NrrF)r is_zipfilerrr0is_dir)rzfrs r_is_legacy_zip_formatrC sa(## __X &"{{}H'8}!>(1+*<*<*>&>> ' &s A99 BzFalling back to the old format < 1.6. This support will be deprecated in favor of default zipfile format introduced in 1.6. Please redo torch.save() to save it in the new zipfile format.)category model_dir map_location weights_onlyc^[R"U5nUR5n[U5S:wa [ S5eUR U5 USR n[RRX5nSSS5 [R"WX#S9$!,(df  N#=f)Nrz0Only one file(not dir) is allowed in the zipfilerrFrG) rrrr0rrrrkrVrr~rI)rrErFrGrmembers extraced_nameextracted_files r_legacy_zip_loadrMs  "a**, w<1 QR R Y ++ i? # ::\  # "s A*B B, check_hash file_namec[R"S5(a[R"SSS9 Uc*[ 5n[R R US5n[R"USS9 [U5n[R RUR 5n UbUn [R R X5n [R RU 5(dh[RRS US U S 35 Sn U(a/[RU 5n U (aU R!S 5OSn [#X XS 9 [%U 5(a ['XX&5$[(R*"XUS9$)a Loads the Torch serialized object at the given URL. If downloaded file is a zip file, it will be automatically decompressed. If the object is already present in `model_dir`, it's deserialized and returned. The default value of ``model_dir`` is ``/checkpoints`` where ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. Args: url (str): URL of the object to download model_dir (str, optional): directory in which to save the object map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) progress (bool, optional): whether or not to display a progress bar to stderr. Default: True check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention ``filename-.ext`` where ```` is the first eight or more digits of the SHA256 hash of the contents of the file. The hash is used to ensure unique names and to verify the contents of the file. Default: False file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. Recommended for untrusted sources. See :func:`~torch.load` for more details. Example: >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) >>> state_dict = torch.hub.load_state_dict_from_url( ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" ... ) TORCH_MODEL_ZOOz@TORCH_MODEL_ZOO is deprecated, please use env TORCH_HOME insteadrrN checkpointsTrrrr.rrrI)rkrrrrFrVrrrbasenamerlr rr" HASH_REGEXsearchgrouprErCrMr~rI) rrErFrrNrOrGrpartsrrrrs rrJrJ/s&T yy"## N )GGLL-8 KK D) SMEww +H'',,y3K 77>>+ & & >#eK=CD !!(+A()!''!*tKS{N[)) SS ::k< XXr)TF)rI)FFNT)FFNr2)NNTFNF)K contextlibr+r2rrkrernr r%r'rrpathlibrtypingrtyping_extensionsr urllib.errorrr urllib.parserurllib.requestr r r~torch.serializationr r rD ImportError__all__compilerTrrrrrrrr4rTr__annotations__contextmanagerrZrirprwr|rrrrrrrrrrFPathLikerKrHrGrIrboolrErC FutureWarningdictrMrJr)rrrjs   (,!+ ,##L ZZ) *  "%#*   H & &FG L  Rt 8*v6 S$22*%sR[[ %T%  EP4v  cLJ# P P PtP P  PlCD E     #s(^   .!!% EY EYTzEYEY EY  EY Tz EYEY #s(^EY] Ds/FFF