Ti% "SSKJr SSKJrJrJrJrJr SSKr SSK r SSK J r J r SSKJr \(aSSKJr \"\ R&R(\ R&R*\ R&R,\ R&R.\ R&R0\ R&R2\ R&R415rSSSjjrSSjrS rSS jrSS jr SS jr!SS jr"g)) annotations) TYPE_CHECKINGAnyCallableOptionalSequenceN)irtensor)_schemas) converterc[U[5(a?U(d8Uc [S5eU[;a [S5e[R "X/S9$U[R R:XaK[U[R5(d,[R"U[R"X"5S9S9$[RRXUS9$)aRHelper function to create an ONNX AttributeProto. * Empty lists can be attribute values, provided the attribute type is specified and is a list type. * Scalar-values like 1.0 as well as lists like [1, -1] to be specified when the attribute type is TensorProto by automatically converting the value into a 0-D or 1-D tensor respectively. z6Attribute type must be specified for empty list value.z>Empty list value is only allowed for repeated attribute types.)nametypevalue)r)rr) attr_type) isinstancelist ValueError_REPEATED_ATTRIBUTE_TYPESr Attr AttributeTypeTENSORonnx TensorProto AttrTensorr convenienceconvert_attribute)keyrname_generatorrs \/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/onnxscript/_internal/autocast.pypyvalue_to_onnx_attributer!#s%u  UV V 5 5]^ ^wwCr:: b&&-- -jHXHX6Y6Y}}#RYYu>CS-TUU~~//i/PPc[U[[[45(ag[U[5(aU(a[ US5$g)zChecks if a runtime parameter value needs to be promoted into an onnxscript value. This is the runtime-equivalent of the promotion of literal constants into ONNX values in the static converter. TrF)rboolintfloatr _promotablexs r r'r'Bs> !dC'((!Tq1Q4  r"cx[U[5(a[R$[U[5(a[R $[U[ 5(a[R$[U[5(a U(a[US5$[S5e[S[U535e)zReturn np.dtype to use when converting a python value to an onnxscript tensor. Note that int constants are treated as int64, as that is the common type in ONNX for shape/index values. rz+Cannot determine target type for empty listzValue of unexpected type ) rr$npbool_r%int64r&float32r _get_dtyper TypeErrorr)pyvalues r r/r/Ps '4  xx GS ! !xx GU # #zz GT " " gaj) )FGG /W ? @@r"c[U5(a6Uc [U5n[R"[R "XS95$U$)zPromotes python values into onnxscript tensors. The optional argument dtype specifies the desired np.dtype of the tensor, used only when a non-standard onnxscript-value is promoted into one. )dtype)r'r/r Tensorr+array)r1r3s r cast_pyvalue_to_os_tensorr6ds; 7 =w'E}}RXXg;<< Nr"c ^^Uc[U4SjU55$URn0n/n[U5HupxU[U5:aXGn OdUSR(a,USn U R (dUR US45 MXO$[S[U5S[U5S35eU RRn SU ;aU"U5n U bXU 'UR X45 M UVV s/sHupT"XRU 55PM n nn [U 5$s sn nf)aUses schema specification to support a limited form of auto-casting. * Scalars are promoted to tensors. * Further. they are cast to the required type when used in ops with other tensor inputs that are required to be of same type. Thus, in "A+1" or "Add(A, 1)", the value 1 will be converted to the same type as A. This is used by the converter in a static-mode, as well as by the eager-mode execution in a dynamic-mode. Nc36># UHnT"US5v M g7fN).0r)casts r cast_inputs..s1DqT!T]]DszNumber of actual parameters z% exceeds number of formal parameters .() tupleinputs enumeratelenvariadic homogeneousappendrtype_constraintrget) get_type_infor< op_signatureargsexpected_inputs type_bindings args_typevarsir)expectedtypevartypeinfo cast_argss ` r cast_inputsrVpsG"1D111#))O 46M57M$ s?# #&)H R ) )&r*H''$$aY/(.s4yk:77:?7K6LAO **// g $Q'H#)1g&a\*' (HUU}a**734}IU  Vs8#D)c*Sn[U[X5$)z.Used for autocast during eager-mode execution.c\[U[R5(a UR$S$r9)rr r4r3r(s r rK*dynamic_cast_inputs..get_type_infos!$Q 66qww@D@r")rVr6)rLrMrKs r dynamic_cast_inputsrZsA }&? TTr"c<^SU4SjjnSU4Sjjn[X4X5$)zUsed for autocast during script-translation. This is meant to transform expressions like "Add(X, 1)" to "Add(X, CastLike(1, X))" Polymorphic constants (like 0 and 1) are cast to the type of other operands as needed. cR>Ub TRUR5(aS$U$)zReturns x back if x can serve as the target-type for a cast (as the second argument of CastLike) and None otherwise. In the expression "Add(X, 1), 1 is castable, while X can serve as the target-type. N) is_castabler)r) converter_s r rK)static_cast_inputs..get_type_infos( yJ$:$:166$B$BtIIr"c>UcgTRUR5(a6Ub3TRURS35nTRU/SX/5$U$)N_castCastLike)r]rgenerate_unique_nameemit1)r)yx_castr^s r cast_like%static_cast_inputs..cast_likes] 9  ! !!&& ) )am44xu5EFF##VHj1&A Ar")r)Optional[ir.Value]returnri)r)rirerirjz Optional[str])rV)r^rLrMrKrgs` r static_cast_inputsrksJ } DDr"r9) rstrrrrzCallable[[], str]rzir.AttributeType | Nonerjzir.Attr)rjr$)rKzCallable[[Any], Any]r<zCallable[[Any, Any], Any]rLz_schemas.OpSignature | Nonerjztuple[Any, ...])rLz_schemas.OpSignature)r^zconverter.ConverterrLzOptional[_schemas.OpSignature]rMzSequence[Optional[ir.Value]]rjztuple[str, ...])# __future__rtypingrrrrrnumpyr+r onnxscriptr r onnxscript.irr onnxscript._internalr frozensetrFLOATSINTSSTRINGSTENSORSGRAPHSSPARSE_TENSORS TYPE_PROTOSrr!r'r/r6rVrZrkr:r"r r{sI#CC !".&          '' $$ "*. Q Q Q&Q' Q  Q> A( 4'4 #4.4  4nUE#E0E 'E Er"