IЦiSSKrSSKrSSKJrJrJr SSKrSSKJr SSK J r SSK J r S\RS\\RS\\RS 44S jrSS \ S \ S \4SjjrS\\ 4SjrS\R$R&4Sjrg)N)DictListTuple)symbolic_trace)Node)legalize_graphresultinputsreturn.c[U[RR5(aS/[ U5-nOUVs/sHo3R SPM nn[R "X5$s snf)ae A free function for use in the merge_matmul graph transformation below that splits the output from a merged matmul into the individual results for each input tensor. Arguments: result: The merged matmul result tensor. inputs: The list of inputs that were merged into one for the matmul. Returns: List of matmul results for each input tensor. r) isinstancetorchfxProxylenshapesplit)r r splitsxs a/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/torch/fx/experimental/merge_matmul.pysplit_result_tensorsr sW"&%((..))s6{"&,-f''!*f- ;;v &&.sA.ab search_depthcX:Xag[UR5S:XagUS:XagURHn[X1US- 5(dM g g)a. Determine if one node depends on another in a torch.fx.Graph. Arguments: a: The node that may have a dependency on b. b: The node that a may have a dependency on. search_depth: In the case of an indirect dependency, this function searches upto this many nodes away in search of a data dependency. If none is found, the function makes the conservative assumption that there is a dependency. Returns: True if a may depend on b, False if it definitely does not. TrF)rall_input_nodes may_depend_on)rrrinps rrr%s]" v 1  "q   !1 2 2! nodesc[R"US5H'up[X5(d[X!5(dM' g g)z Check if all of the given nodes are pairwise-data independent. Arguments: nodes: The nodes to check for data dependencies. Returns: True if any pair in nodes has a data dependency. FT) itertools combinationsr)r!ijs rare_nodes_independentr(Js:&&ua0   -"5"51 r in_modc [U5n0n0nURRHnURS:wdUR[ R LaM2URupVURS:Xa UROUnURS:Xa UROUnURU/5RU5 URU/5RU5 M UR5GHupg[U5S:aM[U5(dM)UVs/sHoRSPM n nU V s/sH5n [U [5(aURRU 5OU PM7 nn [U[5(aURRU5OUnURR![ R"U405n URR![ R U U405n URR![$X405n ['[U55Vs/sH/nURR![(R*X405PM1 nn[-X5H2unnUR/U5 URR1U5 M4 [3U5 GM UR55 URR75 U$s snfs sn fs snf)a A graph transformation that merges matrix multiplication operations that share the same right-hand side operand into one large matrix multiplication. ____ _________ _________ ---- | | | | M| A * C | M| A | T| B | * K| C | = |---------| ---- , | | | | T| B * C | K ---- --------- --------- K R R call_functionget_attrr#r)rgraphr!optargetrmatmulargs setdefaultappenditemsrr(r strr,r+catrrangeoperatorgetitemzipreplace_all_uses_with erase_noder recompilelint)r)gm rhs_users lhs_usersnodelhsrhsmmsmmlhs_valsl merge_mm_catmerge_mmmerge_mm_splitout merge_mm_resoldnews r merge_matmulrP\s  B(*I(*I 77o %ELL)H 99  FFj0cjjcFFj0cjjcS"%,,T2S"%,,T2OO% s8a< %S)) ),-2GGAJ-KSS(Qz!S'9'9rxx  #q@(S(23(<(6L))r$r8typingrrrrtorch.fx._symbolic_tracer torch.fx.nodertorch.fx.passes.tools_commonrTensorrintrr(nnModulerPr rr[s$$ 37' LL'"&u||"4' 5<< '2"T"d"#"Jd$VVr