ёi%SSKJr SSKrSSKrSSKJrJr SSKrSSK J r SSK J r J r JrJr SSKJr \(aSSKr\S rS \S '/r"S S 5rSSSjjrg)) annotationsN) TYPE_CHECKINGLiteral) TypeAlias)EagerParamBasedefault_main_programin_dygraph_mode use_pir_api)lazy_init_helpersigmoidlinearconv1dconv2dconv3dconv1d_transposeconv_transpose1dconv2d_transposeconv_transpose2dconv3d_transposeconv_transpose3dtanhrelu leaky_reluselur _NonLinearityc|\rSrSrSrS SjrS S SjjrS SSjjrS S SjjrSSjr SS jr S r g) Initializer8aBase class for parameter initializers Defines the common interface of parameter initializers. They add operations to the init program that are used to initialize parameter. Users should not use this class directly, but need to use one of its implementations. cgN)selfs a/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/nn/initializer/initializer.py__init__Initializer.__init__As Ncx[5R(dURX5$URX5$r#)r stateforward _lazy_initr%paramblocks r&__call__Initializer.__call__Ds. !''<<- -u,,r)c[e)z;Add corresponding initialization operations to the network.)NotImplementedErrorr.s r&r,Initializer.forwardLs "!r)c[5(deSSjnUR[R"UR55 [R"X0R5UlU$)z Apply lazy initialization c[5(aUnOURSUS9n[5 U"X25 SSS5 g!,(df  g=f)NT)r0)r _to_static_varr )r,r/r0new_vars r&init_op_creator/Initializer._lazy_init..init_op_creatorZs?}}..t5.A!#'$##s ? A r/ paddle.Tensorr0paddle.pir.Block | None)r set_init_func functoolspartialr,_init_op_creator)r%r/r0r:s r&r-Initializer._lazy_initRsh      () (2I ( I--dll;rWzpaddle.Tensor | None)r0r>rWzpaddle.pir.Block)rQr=rWztuple[int, int]) __name__ __module__ __qualname____firstlineno____doc__r'r1r,r-rFrU__static_attributes__r$r)r&r r 8sr FJ-"-+B-FJ"""+B" "FJ"+B6 %!r)r c:UcSnO-[U[[[45(de[U5nSSSSSSSSSSSS[R "S5[R "SSUS--- 5SS.nXR 5;aX $[SUS 35e) aV Get the recommended ``gain`` value of some nonlinearity function. ``gain`` value can be used in some ``paddle.nn.initializer`` api to adjust the initialization value. Args: nonlinearity(str): name of nonlinearity activation function. If it is a linear function, such as: `linear/conv1d/conv2d/conv3d/conv1d_transpose/conv2d_transpose/conv3d_transpose` , 1.0 will be returned. param(bool|int|float|None, optional): optional parameter for some nonlinearity function. Now, it only applies to 'leaky_relu'. Default: None, it will be calculated as 0.01 in the formula. Returns: A float value, which is the recommended gain for this nonlinearity function. Examples: .. code-block:: python >>> import paddle >>> gain = paddle.nn.initializer.calculate_gain('tanh') >>> print(gain) 1.6666666666666667 >>> # 5.0 / 3 >>> gain = paddle.nn.initializer.calculate_gain('leaky_relu', param=1.0) >>> print(gain) 1.0 >>> # math.sqrt(2.0 / (1+param^2)) >>> initializer = paddle.nn.initializer.Orthogonal(gain) g{Gz?r g?g@rIg?rznonlinearity function z is not supported now.)rJboolintfloatmathsqrtkeys ValueError) nonlinearityr/recommended_gains r&calculate_gainris@ }%$U!34444e  #iiq5!8| 45",,..--$\N2H I  r)r#)rgstrr/zbool | float | NonerWrb) __future__rr@rctypingrrnumpyrOtyping_extensionsrbase.frameworkrr r r lazy_initr paddler__annotations____all__r rir$r)r&rtsz# )' (&  M9$ `!`!H59; ; 1;  ; r)