ёisSSKJr SSKrSSKrSSKJrJrJr SSKJ r SSK r SSK J r SSK Jr SSKJrJr \ "S5r\"S 5r\(aSS KJr S S jrSS jr\"\5rg)) annotationsN) TYPE_CHECKINGCallableTypeVar) ParamSpec) stride_ops)wrap_decorator)in_dynamic_mode in_pir_mode_InputT_RetT)Valuec&UR5R5[;agUR5n[ U5S:XagUHDnUR5[;dMUR S5R U5(dMD g g)NTrF)get_defining_opnamer all_used_opslenoperand_sourceis_same)valuerops Z/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/utils/inplace_utils.pycheck_view_valuer"sz ##%3%%'L <A 779 "r'8'8';'C'CE'J'J  c^SU4SjjnU$)Nc >[5(Gd9TRSSn[R"STRSUS35 SSKJn U"5(a[ RRSS5n[5(a3US :wa,[US 5(a[S TRS 35eOmUHgn[US 5(dMUR(dM)[S TRSURSURSURS3 5e TRSU3n[!U5"U0UD6$T"U0UD6$)NzIn static graph mode, z() is the same as z*() and does not perform inplace operation.)in_to_static_modestride_in_no_check_dy2st_diff01rz0Sorry about what's happened. In to_static mode, z's output variable is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. You must find the location of the strided API be called, and call paddle.assign() before inplace input. is_view_varz's output variable z is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. You must find the location of the strided API be called, and call z = paddle.assign(z)..)r __name__warningswarnbase.dygraph.baserosenvirongetr r ValueErrorhasattrr#r __module__eval)argskwargsorigin_api_namerr arg origin_funcfuncs r__impl__0_inplace_apis_in_dygraph_only_..__impl__:s  "mmCR0O MM(7I/IZ[EF  > ""02 3S1-==5<,T!W55(OPTP]P]_RS $"3 663???","STXTaTaSbbvwzwwwAA|}@}E}E|FFWX[X`X`Waac!d# $ "__-Q.?@K $d5f5 5T$V$$r)r0z _InputT.argsr1z_InputT.kwargsreturnr )r5r6s` r_inplace_apis_in_dygraph_only_r:7s%> Or)rrr8bool)r5Callable[_InputT, _RetT]r8r<) __future__rr)r&typingrrrtyping_extensionsrpaddlepaddle.base.frameworkrpaddle.base.wrapped_decoratorr paddle.frameworkr r r r paddle.pirrrr:inplace_apis_in_dygraph_onlyr9rrrFsh# 33' ,89 I   *" """J ..LMr