͑idZSSKJr SSKrSSKJr SSKrSSKrSSKJ r J r SSK J r J r JrJrJrJrJr SSKJrJr SSKJrJr \(aSS KJr /r"S S 5rg) ) annotationsN) TYPE_CHECKING)core unique_name)Variable_current_expected_placedefault_main_programdefault_startup_programin_dygraph_modein_dynamic_or_pir_mode in_pir_mode)_global_bias_initializer_global_weight_initializer) ParamAttrWeightNormParamAttr) _DTypeLiteralc2\rSrSr%SrS\S'Sr\S5r\S5r \S5r \S 5r \ S 5r \ S 5rSS jrSrS SS S\R$R&R(S 4SjrSSSjjrSSjrSSjrSrSSjrSrSrSrg )LayerHelperBase*float32r_LayerHelperBase__dtypecX lXlgN _layer_type_name)selfname layer_types ]/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/base/layer_helper_base.py__init__LayerHelperBase.__init__.s % cUR$r)rrs r!rLayerHelperBase.name2s zzr$cUR$r)rr&s r!r LayerHelperBase.layer_type6sr$c[5$r)r r&s r! main_programLayerHelperBase.main_program:s #%%r$c[5$r)r r&s r!startup_programLayerHelperBase.startup_program>s &((r$cXlgrr)clsdtypes r!set_default_dtype!LayerHelperBase.set_default_dtypeBs r$cUR$rr1)r2s r!get_default_dtype!LayerHelperBase.get_default_dtypeFs {{r$Ncv[U[R5(a:[RR U[ 5SSU(aUS5$SS5$[U[[RR [RR45(aU$[S[U535e)aX The API will create a ``Variable`` object from numpy\.ndarray or Variable object. Parameters: value(ndarray): The numpy\.ndarray object that needs to be converted, it can be multi-dimension, and the data type is one of numpy\.{float16, float32, float64, int16, int32, int64, uint8, uint16}. name(str, optional): The default value is None. Normally there is no need for user to set this property. For more information, please refer to :ref:`api_guide_Name` Returns: Variable: ``Tensor`` created from the specified numpy\.ndarray object, data type and shape is the same as ``value`` . Examples: .. code-block:: python >>> import numpy as np >>> import paddle.base as base >>> with base.dygraph.guard(): ... x = np.ones([2, 2], np.float32) ... y = base.dygraph.to_variable(x) ... FNTz[The type of input value is invalid, expected type is 'ndarray' or 'Variable', but received ) isinstancenpndarrayreagerTensorr rpaddlepirValue TypeErrortype)rvaluers r! to_variableLayerHelperBase.to_variableJs. eRZZ ( (::$$')   #'  $***;*;VZZ=M=MN O OLmnrsxnymz{ r$c^^^ ^ ^^SSSSTRR54UU4Sjjm STRR54UU4SjjmSTRR54UU4SjjmSSTRR54U UUUU4Sjjm U U4Sjn[R"U5nURS-UlS /[ U5-nUR bX!R XaR '[R"U5nURS -UlUnTRR5R"STUS .URSS 9D6n TRR5R"STUS .URS S 9D6n T "U U UR TRR5S9 T"U UU TRR5S9 TRR5R"STUS .UR5D6n TRR5R"STUS .UR5D6n U"XUR S9n U $)NFc f>UcOURT RRRSR T R S/55T SS9nURT RRRSR T R S/55T SS9nUR SSU0SU0S 9 URT RRRSR T R S /55T SS9nUR S SU0SU0S [U50S 9 URT RRRSR T R S/55T SS9nUR SSU0SU0UUUcSOSS.S 9 UR S SU0SU0S SU- 0S 9 U$)N.weight_norm_normFrr3 persistableweight_norm_absabsXOut)rCinputsoutputsweight_norm_powpowfactorrCrRrSattrsweight_norm_sum reduce_sumT)dimkeep_dim reduce_allg?) create_varr+_name_generatorgenerate_with_ignorable_keyjoinr append_opfloat) xoutpr[r\blockabs_outpow_outsum_outr3rs r! __norm_op;LayerHelperBase._create_weight_normalize..__norm_opts{&&**::VV$))-?!@A % '&&&&66RRHHdii):;<! 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'G OO!W~( (*-+$5   OOW~ q)   Jr$c>UcOURTRRRSR TR S/55TSS9nURSUR S9nURSSU0S U0X$S .S 9 U$) NrJweight_norm_reshapeFrLXshape)rr3reshape2rPshape)rQXShape)rCrRrXrS)r^r+r_r`rarr3rb)rdrqrergx_shaper3rs r! __reshape_op>LayerHelperBase._create_weight_normalize..__reshape_ops{&&**::VV$))-B!CD % '&&HAGG&DG OOQx& #7   Jr$c>UcOURTRRRSR TR S/55TSS9nUR SSU0SU0SU0S 9 U$) NrJweight_norm_transposeFrL transposerPrQaxisrW)r^r+r_r`rarrb)rdryrergr3rs r!__transpose_op@LayerHelperBase._create_weight_normalize..__transpose_ops{&&**::VV$))-D!EF % ' OO Qx tn   Jr$c>UcOURTRRRSR TR S/55T SS9nUc T "XX#S9 U$US:XaUUR S/S/[UR 5S- --nT "XR SS/US 9nT "US/US9nT "XaXCS 9 U$U[UR 5S- :XaVS/[UR 5S- -UR S/-nT "USUR S/US 9nT "US/US9nT "XaXCS 9 U$[[[UR 555nUSsUS'Xr'T "XUS 9nUR S/S/[UR 5S- --nT "XR SS/US 9nT "US/US9nT "XdUS 9n T "XXS 9 U$) z0Computes the norm over all dimensions except dimrJrKFrLr[rgrr)rqrg)rerqrg)rgrerg) r^r+r_r`rarrqlenlistrange)rdrer[rg out_shapereshapenormpermrxrp_LayerHelperBase__norm_op_LayerHelperBase__reshape_op_LayerHelperBase__transpose_opr3rs r!__norm_except_dimCLayerHelperBase._create_weight_normalize..__norm_except_dims{&&**::VV$))-?!@A % '{!c70J/WWQZLA3#agg,2B+CC &qR0@N qc?T)I&J%AGG q((C3qwwT"XTRR5S9n[R"XS9n[RR R UUcUO![R"XARU/S9UcSOUS9nU$)z%Calculations for weight normalizationr})rdy)rdrqr~)rdrry) r+ current_blockr?dividetensormath_multiply_with_axisrrq)gvr[rscalew!_LayerHelperBase__norm_except_dimrs r!__weight_normalizeDLayerHelperBase._create_weight_normalize..__weight_normalizes$$"3"3"A"A"CDMME  ""66{% ~F;RC7AHr$_gr_vr3rqwith_initializerT)rdrer[rgr)r[) r. global_blockcopydeepcopyrrr[create_parameter _to_kwargsr+)rattrrqr3"_LayerHelperBase__weight_normalize g_param_attr g_param_shape v_param_attr v_param_shapeg_paramv_paramw_paramrrrrs` ` @@@@r!_create_weight_normalize(LayerHelperBase._create_weight_normalizeqsl &&335 > > Bd&:&:&G&G&I  *T%9%9%F%F%H  (T)=)=)J)J)L% % N 0}}T*  II, c%j( 88 &+HHoM(( #}}T*  II,  &&335FF  %%u%=  &&335FF  %%t%<  &&335     &&335  ##002CC } 0<0G0G0I ##002CC } 0<0G0G0I %W488Dr$Fc  [R"U5n[R"U5nU(dg[ U[5(de[ U5HupU S:aM SU SU 35e U(d UR n[ U[R5(a'[RRRUnU(aSn [5b [5OUnOSn [5b [5OUnURc[5(a7[ R""SR%URU /55UlOEUR&R(R#SR%URU /55UlUGcEUR*Gc7[ U[R,R.5(aU[R,R.R0:waU[R,R.R2:waU[R,R.R4:wa[U[R,R.R6:wa3U[R,R.R8:wa [;S5eOUS ;a [;S 5eU(aUR=5 O"UR?5 OURAU5 [ U[B5(a3UREXU5n [BRFRIU 5 U $[K5(a[ RL"UR5n U (a[OS URS 35eUR&RQ5RR"SUUUUS .URUSS9D6n UbU RWU5n U $[Y5(a[ U[R,R.5(a'[RRRZUn[RRRR"SUUS.URUSS9D6n UbU RWU5n U $UR\RQ5RR"SUUUS.URUSS9D6 UR&RQ5RR"SX2US.URU5D6$)aCreate parameters for this layers. Args: attr: [ParamAttr] should be the parameter attribute for this parameter shape: shape of the parameter dtype: data type of this parameter is_bias: if this is a bias parameter default_initializer: set the default initializer for this parameter device: device where this parameter will be placed Returns created parameter Variable. NrzOExpected every dim's size to be larger than or equal to 0, but the size of the z -th dim is brrJzCan not create parameter with default initializer when dtype is not ['float16', 'float32', 'float64', 'bfloat16'] type. Set default_initializer to fit the parameter dtype!)float16rfloat64bfloat16rcint8zCan not create parameter with default initializer when dtype is not ['float16', 'float32', 'float64', 'bfloat16', 'float'] type. Set default_initializer to fit the parameter dtype!zparameter name [z] have be been used. In dygraph mode, the name of parameter can't be same.Please check the parameter attr value passed to self.create_parameter or constructor of dygraph Layers)r3rqrC stop_gradientTrr)r3rqrCr)/rrr_to_attrr: enumeraterrDataTyper?r@datatype_to_vartyperrrr rgeneraterar+r_ initializerVarDescVarTypeFP32FP64FP16BF16INT8rB_set_default_bias_initializer_set_default_param_initializer_set_default_initializerrrparams_with_weight_normappendr dygraph_parameter_name_checker ValueErrorrrrtorvartype_to_datatyper.)rrrqr3is_biasdefault_initializerrrCdeviceisizesuffixparamis_useds r!r LayerHelperBase.create_parameterNsI0}}T"!!$'$ **** 'GA19 ''(cTF< 9( LLE eT]] + +JJOO77>E F,-9)*( F./;+,( 99 %'''00499f:M1NO  --==FFHHdii01   &4+;+;+C%!5!566T\\11666!5!5!:!::!5!5!:!::!5!5!:!::!5!5!:!::#F!$O224335  ) )*= > d/ 0 011$uEE  7 7 > >u EL   "@@KG &tyyk244 %%224EE+  //4/8 E!(L}}eT\\%9%9::"JJOO??FE 88ooto< %!HHV,E  - - / @ @  //4/8   $$113DDt7;7H r$c @U(d URnURR5RURRR SR URS/55UU[RRRSUS9$)aCreate a temporary variable that should be type inferred layer. Note: The default type will be set to DENSE_TENSOR. However, when the var is used as operator output, its type will be updated based on operator's `VarTypeInference` implementation in infer_var_type. rJtmpFrr3rqrCrMr) rr+rr^r_r`rarrrr DENSE_TENSORrr3rrqs r!"create_variable_for_type_inference2LayerHelperBase.create_variable_for_type_inferencesLLE  ..0;;""22NN$))U+,%%22'<  r$c (U(d URnURR5RURRR SR URS/55UU[RRRSUS9nURRnSURl [RRR!UR"USSUS9 X$lXPRl U$)aCreate a global variable that should be type inferred layer. Note: The default type will be set to DENSE_TENSOR. However, when the var is used as operator output, its type will be updated based on operator's `VarTypeInference` implementation in infer_var_type. rJrFrrg) force_cpure)rr+rr^r_r`rarrrrrcurrent_block_idxr?rcreation fill_constantrqr)rr3rrqoutputsaved_block_ids r!*_create_global_variable_for_type_inference:LayerHelperBase._create_global_variable_for_type_inferencesLLE""//1<<""22NN$))U+,%%22'=  **<<./+ ,, LL%6 -  -.<+ r$c @U(d URnURR5RURRR SR URS/55UU[RRRSUS9$)aCreate a temporary sparse variable that should be type inferred layer. Note: The default type will be set to SPARSE_COO. However, when the var is used as operator output, its type will be updated based on operator's `VarTypeInference` implementation in infer_var_type. rJrFr) rr+rr^r_r`rarrrr SPARSE_COOrs r!)create_sparse_variable_for_type_inference9LayerHelperBase.create_sparse_variable_for_type_inferencesLLE  ..0;;""22NN$))U+,%%00'<  r$cVURR5R"U0UD6$)z;Create Variable for this layers. Returns created Variable. )r+rr^)rargskwargss r!create_variableLayerHelperBase.create_variable/s)  ..0;;TLVLLr$cZURR5R"USU0UD6$)a create global variable, note that there is no initializer for this global variable. Args: persistable(bool): True if it is a checkpoint value. *args: See create_var's documentation **kwargs: See create_var's documentation Returns(Variable): the created variable. rM)r+rr^)rrMrrs r!create_global_variable&LayerHelperBase.create_global_variable5s9  --/::  * .4  r$cURR5RU5(a+URR5RU5S4$UR"USU0UD6S4$)z~ Creates a global variable if not exists and returns the variable and a boolean flag which is true when it is a new variable. FrT)r+rhas_varvarr)rrrrs r!create_or_get_global_variable-LayerHelperBase.create_or_get_global_variableCsi    ) ) + 3 3D 9 9$$11377=uD D..4JDJ6JDP Pr$c :[U[5(de[5(a!U"XRR 55 gUR R 5R URURURURSUS9 g)zfSet target Variable's initializer Args: var: target Variable initializer: initializer to use T)rrCr3rqrMrN) r:rr r+rr.r^rrCr3rq)rrrs r!set_variable_initializer(LayerHelperBase.set_variable_initializerMs{#x((((    ..;;= >  - - / : :XXXXiiii ' ; r$rr)FN)returnz paddle.Tensor)F)__name__ __module__ __qualname____firstlineno__r__annotations__r"propertyrr r+r. classmethodr4r7rErrrrrrrrrrrrr__static_attributes__rr$r!rr*s&G]&  &&))%NZB  \\ ! ! . .L^15  415D15 2M  Qr$r) __future__rrtypingrnumpyr;r?rr frameworkrr r r r r rrrr param_attrrrpaddle._typing.dtype_liker__all__rrr$r!r sH#  N67 uur$