Αi%SSKJr SSKJrJr SSKJr SSKJr SSK J r J r J r J r \(aSSKJr \\\\4rS\S 'SS jrSSS jjrSSS jjrSSjrSSSjjrSSSjjrSSSjjrSSSjjrg )) annotations) TYPE_CHECKINGUnion) TypeAlias)core)EventStream create_event create_stream)CPUPlacer _CPUPlaceLikecg)a  Return the number of GPUs available. Returns: int: the number of GPUs available. Note: This function returns 0 when compiled without CUDA support. Examples: .. code-block:: python >>> import paddle >>> paddle.device.device_count() rrQ/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/device/cpu.py device_countr(s$ rNcH[R"5R5$)a Get the random state for the default generator. Returns: Tensor: The random state tensor. Examples: .. code-block:: python >>> # doctest: +REQUIRES(env:CUSTOM_DEVICE) >>> import paddle >>> paddle.device.get_rng_state() )rdefault_cpu_generator get_statedevices r get_rng_stater=s$  % % ' 1 1 33rcL[R"5RU5 g)a& Set the random number generator state of the specified device. Args: new_state (core.GeneratorState): The desired RNG state to set. This should be a state object previously obtained from ``get_rng_state()``. device (DeviceLike, optional): The device to set the RNG state for. If not specified, uses the current default device (as returned by ``paddle.framework._current_expected_place_()``). Can be a device object, integer device ID, or device string. Returns: None Examples: .. code-block:: python >>> import paddle >>> # Save RNG state >>> state = paddle.device.get_rng_state() >>> # Do some random operations >>> x = paddle.randn([2, 3]) >>> # Restore RNG state >>> paddle.device.set_rng_state(state) N)rr set_state) new_staters r set_rng_staterRs6  **95rcb[U5n[R"5RU5 g)awSet the seed for generating random numbers for the current Device. .. warning:: If you are working with a multi-Device model, this function is insufficient to get determinism. To seed all Devices, use :func:`manual_seed_all`. Sets the seed for global default generator, which manages the random number generation. Args: seed(int): The random seed to set. Returns: None Examples: .. code-block:: python >>> import paddle >>> paddle.device.manual_seed(102) >>> # paddle.cuda.manual_seed(102) is equivalent to paddle.device.manual_seed(102) >>> paddle.cuda.manual_seed(102) N)intrr manual_seed)seeds rr r ps$0 t9D ,,T2rc[S5e)z The API max_memory_allocated is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API. zThe API paddle.device.max_memory_allocated is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API. ValueErrorrs rmax_memory_allocatedr%  R rc[S5e)z The API max_memory_reserved is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API. zThe API paddle.device.max_memory_reserved is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API.r#rs rmax_memory_reservedr(r&rc[S5e)z The API reset_max_memory_allocated is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API. zThe API paddle.device.reset_max_memory_allocated is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API.r#rs rreset_max_memory_allocatedr*r&rc[S5e)z The API reset_max_memory_reserved is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API. zThe API paddle.device.reset_max_memory_reserved is not supported in CPU PaddlePaddle. Please reinstall PaddlePaddle with GPU or XPU support to call this API.r#rs rreset_max_memory_reservedr,r&r)returnr)N)r_CPUPlaceLike | Noner-core.GeneratorState)rr/rr.r-None)r!rr-r0)rr.r-r)rr.r-r0) __future__rtypingrrtyping_extensionsr paddle.basercustom_streamsr r r r paddler strrr__annotations__rrrr r%r(r*r,rrrr9s#''$    M9 ,$(4 44,DH6"6,@6 6<38r