+ G-j(H^RIHt^RIt^RIHt^RIHt!RR]4tR#)) annotationsN) ONNXModel)Fusionc^a]tRt^tRV3RlltRRltRRltRRltR R ltR t V;t #) FusionGelucV^8dQhRR/#)modelr)formats"}/Volumes/fast/ai/experiments/nudenet-smoke/.venv/lib/python3.14/site-packages/onnxruntime/quantization/fusions/fusion_gelu.py __annotate__FusionGelu.__annotate__s//i/c *<\SV`VRR4R#)GeluErfN)super__init__)selfr __class__s&&r rFusionGelu.__init__s .rc$V^8dQhRRRRRR/#)r erf_nodeonnx.NodeProtoinput_name_to_nodesdict[str, list[onnx.NodeProto]]output_name_to_nodedict[str, onnx.NodeProto]r )r s"r rrs(<< <=<7  Div -----> Erf --> Add --> Mul --> (B=1.4142...) (1) Pattern 2: +------------------------------------+ | | | v [root] --> Div -----> Erf --> Add --> Mul -->Mul --> (B=1.4142...) (1) (0.5) Note that constant input for Add and Mul could be first or second input: like either A=0.5 or B=0.5 is fine. FAddMulDiv -?MbP?delta?rnameinputsoutputsr!Toutputlenop_typehas_constant_input match_parentfind_constant_inputinputis_safe_to_fuse_nodesnodes_to_removeextendonnxhelper make_nodecreate_unique_node_namedomain nodes_to_addappend)rrrrchildren add_after_erf mul_after_erfdivsubgraph_inputanothermul_halfsubgraph_outputsubgraph_nodes fused_nodes&&&& r r"FusionGelu.fuse_1#sw2 ??1 %8 8&q'9: x=A !!4!4!=  &&}a88    "*= =&';';A'>? x=A !!4!4!=  %4GH ;  # #Cu # = B1$**1-1E1Ea1HH!a 009 9*+?+?+BCH8}!Xa[%8%8E%A{H**8S99&ooa0O((w\H**8S99^^3+2215OxP)).:KM`vv ##N3[[** 557@P[jZk+ ,    ,rc(V^8dQhRRRRRRRR/#r)r )r s"r rrz8JJ J=J7 J  Jrc VP^,V9dR#W!P^,,p\V4^8wgV^,PR8wdR#V^,pVPV^4'gR#VP^,V9dR#W%P^,,p\V4^8wgV^,PR8wdR#V^,pVPVR4'gR#VP^,V9dR#W&P^,,p\V4^8wgV^,PR8wdR#V^,pVP VR^V4pVfR#Rp VP VRRR 7^8wd5VP VR ^V4p V fR#VPV R 4'gR#VP ^,p WP 9dR#WWVV.p V 'dV PV 4VPWP^,.W#4'gR#VPPV 4\PPR VP4V .VP^,.R 7p RV nVP PV 4R#)a This pattern is from Keras model Fuse Gelu with Erf into one node: +------------------------------------------+ | | | v [root] --> Div -----> Erf --> Add --> Mul -->Mul (B=1.4142...) (A=1) (A=0.5) Note that constant input for Add and Mul could be first or second input: like either A=0.5 or B=0.5 is fine. Fr-r.r4r/Nr0r1r2Sqrtg@rr5r!T)r:r;r<r=r>r?r@rJrArBrCrDrErFrGrHrI) rrrrrKrLrMmulrN sqrt_noderOrSrTs &&&& r r#FusionGelu.fuse_2zsd" ??1 %8 8&q'9: x=A !!4!4!=  &&}a88    "*= =&';';A'>? x=A !!4!4!=  &&}c::    "*= =&';';A'>? x=A !!4!4!=qk%4GH ;  # #Cu # = B))#vq:MNI **9c::1  *sK   ! !) ,)).::a=/K^tt ##N3[[** 557@P[^[e[efg[hZi+ ,    ,rc(V^8dQhRRRRRRRR/#r)r )r s"r rrrWrc DVP^,V9dR#W!P^,,p\V4^8wgV^,PR8wdR#V^,pVPV^4'gR#VP^,V9dR#W%P^,,p\V4^8wgV^,PR8wdR#V^,pVPVR4'gR#VP VR^V4pVfR#VP VRRR7pV^8dR#^V, p VP V ,p VP^,V9dR#W&P^,,p\V4^8wgV^,PR8wdR#V^,p V P ^,V 8XgV P ^,V 8XgR#WqWVV .p VPV V P^,.VV4'gR#VPPV 4\PPRVP4V .V P^,.R 7p R V nVPP!V 4R #) a This pattern is from TensorFlow model Fuse Gelu with Erf into one node: +----------------------------------------------+ | | | v [root] --> Mul -----> Erf --> Add --> Mul -->Mul (A=0.7071067690849304) (B=1) (B=0.5) Note that constant input for Add and Mul could be first or second input: like either A=0.5 or B=0.5 is fine. Fr-r.r4g`?r1r2rr5r!Tr9)rrrrrKrLrQ first_muliroot_input_indexrOlast_mulrSrTs&&&& r r$FusionGelu.fuse_3sO$ ??1 %8 8&q'9: x=A !!4!4!=  &&}a88    "*= =&';';A'>? x=A !!4!4!=A;&&x55%%hq:MN    $ $Y0B% $ P q5q5")9: ??1 %8 8&q'9: x=A !!4!4!=A;q!^3x~~a7HN7Z#}Q))  __Q       ##N3[[** 557@P[c[j[jkl[mZn+ ,    ,rr ) __name__ __module__ __qualname____firstlineno__rr&r"r#r$__static_attributes__ __classcell__)rs@r rrs,//<"UnJXJJrr) __future__rrD onnx_modelrfusionrrr rr rms! # "BBr