JThgSrSSKrSSKJr SSKJr SSKrSSKJr SSKJ r J r J r SSK J r Jr /SQr\R "\R"S S 9r\"S 5\ R&"S S S S SS5S\ R(S\R*S\\S\R*S\R*S\S\4Sj55r\"S5S\ R(4Sj5rSr\"S5\ R&"S SSSS SSSS5 S(S\ R(S\R*S\S\\S \\S!\\R*S"\S#\\S$\\S%\\S&\R*4S'jj55rg))aThis file exports ONNX ops for opset 17. Note [ONNX Operators that are added/updated in opset 17] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ https://github.com/onnx/onnx/blob/main/docs/Changelog.md#version-17-of-the-default-onnx-operator-set New operators: BlackmanWindow DFT HammingWindow HannWindow LayerNormalization MelWeightMatrix STFT SequenceMap N)Sequence)Optional)_C) _type_utilserrorssymbolic_helper) jit_utils registration) layer_normstftquantized_layer_norm)opsetzaten::layer_normvisfnoneginputnormalized_shapeweightbiaseps cudnn_enablec [U5*n[RRU[RR5nUR 5n [ R"U5(a$[R"X)S9n URSU S9n[ R"U5(a$[R"X)S9n URSU S9nURSUUUUUS9$)NdtypeConstantvalue_tLayerNormalization) epsilon_faxis_i) lenr JitScalarType from_valueFLOATrr_is_nonetorchonesopzeros) rrrrrrraxis scalar_typer weight_value bias_values S/var/www/auris/envauris/lib/python3.13/site-packages/torch/onnx/symbolic_opset17.pyr r &s  ! !D++66 {((..K    E''zz"2@ j,7%%[[!1? ttJ t3 44    zquantized::layer_normc [R"X5un n[XX#XES5n [R"X Xg5$)NF)rdequantize_helperr quantize_helper) rxrrrrop_scale op_zero_point_outputs r1r r Js@!2218JAq!Q .5 IF  * *1h NNr2c$X- S-nX- U- nX#4$)zqHelper function to compute the sizes of the edges (left and right) of a given window centered within an FFT size.)n_fft window_sizeleftrights r1_compute_edge_sizesrB\s%  A %D L; &E ;r2z aten::stftibr> hop_length win_lengthwindow normalizedonesidedreturn_complexalign_to_windowreturnc U(a[R"SUS9eU b[R"SUS9eUbUOUS-n URS[R"U [R S9S9n URS[R"U[R S9S9n Un [ R"U 5nUS:XaDURS U URS[R"S /[R S9S95n O"UbUS :a[R"S US 3US9e[ R"US S9nUbU(aUOUnUU:Xd SUS345eX:ai[X/5unnURS[R"U5S9nURS[R"U5S9nURSUUUS S9n[ R"U5(aU(aXB:a[R"SUSUS3US9e[X$5unn[R"[R"U5[R"U5[R"U545nO[R"U5nURS U:XdeURSUS9nURSU[R R#U 5R%5S9nURSU U UU UbU(aSOS S9nURSU/SQS9nUS:XaCURSUURS[R"S /[R S9S95nU(ae[R&"[R"X-R)5R+5S95nURSUURSUS95nU$)afAssociates `torch.stft` with the `STFT` ONNX operator. Note that torch.stft calls _VF.stft, without centering or padding options. Hence, this function does not contain these two arguments. See torch.stft source code for more info. Args: g: Graph to write the ONNX representation into input: Input tensor for the transformation n_fft: FFT size hop_length: Size of the hop. Defaults to `floot(n_fft // 4)` win_length: Size of the analysis window. Defaults to `n_fft` window: Analysis window. Defaults to a window of all ones normalized: Whether to return a normalized STFT onesided: Whether to return only half (+1) of the results, given the symmetry of the STFT return_complex: Whether to return the complex value (Note: Must be `False` or `None`) Returns: op: Operator for torch.stft associated with STFT (ONNX) z-STFT does not currently support complex types)msgvaluez:STFT does not currently support the align_to_window optionrrr Unsqueezerr<zcSTFT can only take inputs of 1 [signal] or 2 [batch, signal] dimensions. Current rank of signal is z, please reduce it.)dimzuAnalysis window size must equal `win_length` or `n_fft`. Please, set `win_length` or `n_fft` to match `window` size ()Concat)r#zWThe analysis window can't be longer than the size of the FFT. Please set `win_length` (z) to `n_fft` (z ) or less.Cast)to_iSTFT) onesided_i Transpose)rr<rQ)perm_iSqueezeDiv)rSymbolicValueErrorr+r)tensorint64r_get_tensor_rank_get_tensor_dim_sizerBr,r(hstackr*shaperr%r& onnx_typesqrttyper)rrr>rErFrGrHrIrJrKframe_step_valueframe_step_constframe_length_constsignal signal_rankn_winwin_length_defaultr@rAleft_win right_win torch_windowresult sqrt_nffts r1r r dsH''?u  "''L  &0%;z!ttELL)9MELLekkB F!226:Ka   DDU\\1#U[[%ID J    a''))4 5HJ    0 0Q ?E +5Z5**  KKP'QR T-  * =-e;KD%ttJ D0AtBHZU1CDITT(HfiTJF'' !//00:|>%PZ\.e@KD% <<T"EJJz$:EKKrs"$ ;;8 9""<#=#=RH"#CsCf= 88sm HH  ((   >$D'(OO)O" Cc3S#sCH !% $!%#%*&*II 88I I I  I RXX  IItnITNId^IXXIIIr2