Αi&SSKJr SSKJr SSKrSSKJr \(aSSKJr /r SSjr SSSjjr SSjr SSS jjr SS jrSS jrSS jrSS jr"SS5rg)) annotations) TYPE_CHECKINGN)core)Sequencec [U5n[R"5(aK[[R "55H(n[R "U5RU5 M* Od[R"5(aJ[[R"55H(n[R"U5RU5 M* [RR5n[U[R5(a[[R "5Vs/sH(nUR#5UR%S5S:HPM* sn5n[U5HKn[R&"[R"UR#5U55RU5 MM [R("5RU5$s snf)aV Sets the seed for global default generator, which manages the random number generation. Args: seed(int): The random seed to set. It is recommend to set a large int number. Returns: Generator: The global default generator object. Examples: .. code-block:: python >>> import paddle >>> gen = paddle.seed(102) :r)intpaddleis_compiled_with_cudarangerget_cuda_device_countdefault_cuda_generator manual_seedis_compiled_with_xpuget_xpu_device_countdefault_xpu_generator framework_current_expected_place isinstance CustomPlacesumget_available_custom_deviceget_device_typesplitdefault_custom_device_generatordefault_cpu_generator)seediplacesdev_cnts W/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/framework/random.pyrrs`* t9D ##%%t1134A  ' ' * 6 6t <5  $ $ & &t0023A  & &q ) 5 5d ;4    4 4 6E%++,,99; ;A%%'1773<?:;   wA  0 0""5#8#8#:A> k$   % % ' 3 3D 99 s./G"c /nUc[RR5nO[RR U5n[ U[R 5(a4UR[R"5R55 U$[ U[R5(aZ[[R"55H6nUR[R"U5R55 M8 U$[ U[R5(aZ[[R "55H6nUR[R""U5R55 M8 U$[ U[R$5(a['[R("5Vs/sH(nUR+5UR-S5S:HPM* sn5n[U5HYnUR[R."[R$"UR+5U55R55 M[ U$[1SU35es snf)a Get all random states of random generators of specified device. Args: device(str): This parameter determines the specific running device. It can be ``cpu``, ``gpu``, ``xpu``, Default is None. If None, return the generators of current device (specified by ``set_device``). Returns: list[GeneratorState], object. Examples: .. code-block:: python >>> import paddle >>> sts = paddle.get_rng_state() rrz5get_rng_state is not implemented for current device: )r r_current_expected_place_device_convert_to_placerCPUPlaceappendrr get_state CUDAPlacer r rXPUPlacerrrrrrrr ValueError)r% state_listrrr r!s r" get_rng_stater.Hs(J ~  99; //7%))$446@@BC2 1 E6++ , ,t1134A   d99!<FFH I5. + E6?? + +t0023A   d88;EEG H4( % E6-- . .99; ;A%%'1773<?:;   wA   44$$U%:%:%>> import paddle >>> sts = paddle.get_cuda_rng_state() )r r r rr r(rr)r-rs r"get_cuda_rng_stater1sZ$J ##%%t1134A   d99!<FFH I5 cZUc[RR5nO[RR U5n[ U[R 5(az[U5[R"5:Xd [S5e[[R"55H*n[R"U5RX5 M, g[ U[R5(az[U5[R"5:Xd [S5e[[R"55H*n[R "U5RX5 M, g[ U[R"5(a[R$"5nUSn[R&"U5n[U5U:Xd[SUS35e[U5HMn[R("[R""UR+5U55RX5 MO g[ U[R,5(aB[U5S:Xd [S5e[R."5RUS5 g[S U35e) a9 Sets generator state for all device generators. Args: state_list(list|tuple): The device states to set back to device generators. state_list is obtained from get_rng_state(). device(str): This parameter determines the specific running device. It can be ``cpu``, ``gpu``, ``xpu``, Default is None. If None, return the generators of current device (specified by ``set_device``). Returns: None. Examples: .. code-block:: python >>> import paddle >>> sts = paddle.get_rng_state() >>> paddle.set_rng_state(sts) Nz@Length of gpu state list should be equal to the gpu device countz@Length of xpu state list should be equal to the xpu device countrz:Length of custom device state list should be equal to the z device countz-Length of cpu state list should be equal to 1z5set_rng_state is not implemented for current device: )r rr$r%r&rr*lenrr r,r r set_stater+rrrget_all_custom_device_typeget_custom_device_countrrr'r)r-r%rr dev_typesdev_typer!s r" set_rng_stater;s 2~  99; //7%))**:$"<"<">>R t1134A  ' ' * 4 4Z] C5 E6?? + +:$";";"==R t0023A  & &q ) 3 3JM B4 E6-- . .335 Q<..x8:')LWIUbc wA  0 0""5#8#8#:A> i &  E4== ) ):!#LM M ""$..z!}=CE7 K  r2c,[R"5(az[U5[R"5:Xd [ S5e[ [R"55H*n[R"U5RX5 M, gg)ad Sets generator state for all cuda generators. Args: state_list(list|tuple): The cuda states to set back to cuda generators. state_list is obtained from get_cuda_rng_state(). Returns: None. Examples: .. code-block:: python >>> import paddle >>> sts = paddle.get_cuda_rng_state() >>> paddle.set_cuda_rng_state(sts) zBLength of cuda state list should be equal to the cuda device countN) r r r5rr r,r rr6r0s r"set_cuda_rng_stater=sr*##%%:$"<"<">>T t1134A  ' ' * 4 4Z] C5 &r2cU[RR5lU[RR 5l[RR 5nUR U5 g)a3 Sets global seed for generating random numbers. NOTE(zhiqiu): This is the original implementation of seed. Keeps it temporally since CUDA generator is not developed, so we need it in the unittest. Args: seed(int): The random seed to set. It is recommend to set a large int number. Returns: None N)r staticdefault_main_program random_seeddefault_startup_programProgram global_seed)rprograms r"_manual_program_seedrFsN8FMM))+7mm##%G r2c0[R"X5 gN)rset_random_seed_generator)namers r"rIrI s""4.r2c.[R"U5$rH)rget_random_seed_generator)rJs r"rLrLs  ) )$ //r2c*\rSrSrSSSjjrSrg) GeneratoriNc [RRU5n[U[R 5(a[R "5$[U[R5(a$[R"UR55$[U[R5(a$[R"UR55$[U[R5(a[R"U5$g)at Generator is a random number generator. Args: device(str|int|paddle.core.Place): The device type to create the generator on. It can be ``cpu``, ``gpu``, ``xpu``, or a paddle.core.Place instance. default is None, which means using current device. Examples: .. code-block:: python >>> import paddle >>> g_cpu = paddle.Generator() N)r r%device_to_placerrr'rr*r gpu_device_idr+rrr)clsr%rs r"__new__Generator.__new__s" --f5 eT]] + +--/ / t~~ . ...u/B/B/DE E t}} - ---e.A.A.CD D t// 0 077> >1r2rH)r%zstr | int | paddle.core.Placereturnzcore.Generator)__name__ __module__ __qualname____firstlineno__rS__static_attributes__rUr2r"rNrNs59?2? ??r2rN)rr rVpaddle.base.core.GeneratorrH)r% str | NonerV%list[paddle.base.core.GeneratorState])rVr^)r-)Sequence[paddle.base.core.GeneratorState]r%r]rVNone)r-r_rVr`)rr rVr`)rJstrrr rVr`)rJrarVr\) __future__rtypingrr paddle.basercollections.abcr__all__rr.r1r;r=rFrIrLrNrUr2r"rgs# ( ):Z4 4*4n8? 9? ?  ? DD9D D<&/0??r2