ёi!SSKJr SSKrSSKJrJr SSKJrJrJr SSK J r SSK J r J r Jr SS KJr /r"S S \5r"S S \5rg)) annotationsN)_C_opspir)core framework unique_name)check_variable_and_dtype)_current_expected_placein_dygraph_mode in_pir_mode) Initializerct^\rSrSrSrSSU4SjjjrSS SjjrSrU=r$) UniformInitializer aImplements the random uniform distribution initializer Args: low (float, optional): Lower boundary of the uniform distribution. Default is :math:`-1.0`. high (float, optional): Upper boundary of the uniform distribution. Default is :math:`1.0`. seed (int, optional): Random seed. Default is 0. diag_num (int, optional): the number of diagonal elements to initialize. If set to 0, diagonal initialization will be not performed. Default is 0. diag_step (int, optional): Step size between two diagonal elements, which is generally the width of the square matrix. Default is 0. diag_val (float, optional): the value of the diagonal element to be initialized, default 1.0. It takes effect only if the diag_num is greater than 0. Default is :math:`1.0`. c>UceUceX!:deUceUceUceUceUS:dUS:aUS:aUS:de[TU]5 XlX lX0lX@lXPlX`lg)Nr)super__init___low_high_seed _diag_num _diag_step _diag_val)selflowhighseeddiag_num diag_stepdiag_val __class__s ]/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/nn/initializer/uniform.pyrUniformInitializer.__init__0s{{###$$$### a<9q=aout_varvar_tmprVs r$forwardUniformInitializer.forwardJsU sI44 5 5#++--  S  !!%(%)//399!=>>>>  $;   ::?22DJ 99 ,,11 1 ,,11I&& ))HH.%@Aii\\))66!'G IG   nn     YY__.. 4K4M GyyDLL00555 ++gyy922372237 ]]yyDMM111 MM11 II nn    ') G T]]222MMT]]%:%::{{7II66N%( YY&99:: JJ $!% $ #!B"yyDLL00555>"CL'.}}399M  FIr&)rrrrrr)?rrrr^)rfloatrr_rintr r`r!r`r"r_returnNone)N)rWz paddle.TensorrXzpir.Block | Nonerazpaddle.Tensor | None) __name__ __module__ __qualname____firstlineno____doc__rr[__static_attributes__ __classcell__r#s@r$rr s "" "" "  "  "" ""6=Am m)9m mmr&rcD^\rSrSrSrSSU4SjjjrSrU=r$)UniformaThe uniform distribution initializer. Args: low (float, optional): Lower boundary of the uniform distribution. Default is :math:`-1.0`. high (float, optional): Upper boundary of the uniform distribution. Default is :math:`1.0`. name (str|None, optional): For details, please refer to :ref:`api_guide_Name`. Generally, no setting is required. Default: None. Returns: A parameter initialized by uniform distribution. Examples: .. code-block:: python >>> import paddle >>> paddle.seed(1) >>> data = paddle.ones(shape=[3, 1, 2], dtype='float32') >>> weight_attr = paddle.framework.ParamAttr( ... name="linear_weight", ... initializer=paddle.nn.initializer.Uniform(low=-0.5, high=0.5)) >>> bias_attr = paddle.framework.ParamAttr( ... name="linear_bias", ... initializer=paddle.nn.initializer.Uniform(low=-0.5, high=0.5)) >>> linear = paddle.nn.Linear(2, 2, weight_attr=weight_attr, bias_attr=bias_attr) >>> print(linear.weight) Parameter containing: Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=False, [[-0.48212373, 0.26492310], [ 0.17605734, -0.45379421]]) >>> print(linear.bias) Parameter containing: Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=False, [-0.11236754, 0.46462214]) >>> res = linear(data) >>> print(res) Tensor(shape=[3, 1, 2], dtype=float32, place=Place(cpu), stop_gradient=False, [[[-0.41843393, 0.27575102]], [[-0.41843393, 0.27575102]], [[-0.41843393, 0.27575102]]]) c h>UcS5eUcS5eX!:dS5e[TU]XSSSSS9 g)Nzlow should not be Nonezhigh should not be Nonez%high should greater or equal than lowrr^)rrrr r!r")rr)rrrr0r#s r$rUniform.__init__sT8 88:!::{CCC{ Qa#  r&)r]r^N)rr_rr_r0z str | Nonerarb)rcrdrerfrgrrhrirjs@r$rlrls:(VHL  ', :D   r&rl) __future__rpaddlerrbaserrr base.data_feederr base.frameworkr r r initializerr__all__rrlrpr&r$rxsI# 008 % WWt3  3 r&