Zj#SrSSKrSSKrSSKJr SSKJr SSKJr SSK r SSK J s J r SSK J r SSKJr SS KJr SS KJr SS KJrJr SS KJrJr SS KJr SSKJr SSKJ r J!r!J"r"J#r#J$r$J%r% SSK&J'r' SSK(J)r) SSK*J+r+J,r,J-r- \$R\"\/5r0Sr1Sr2Sr3S\ RhS\ Rh4Sjr5\\""SS9"SS\ 555r6\""SS9\"SS \ 555r7\"\"S!S"\ 555r8"S#S$\ Rr5r:"S%S&\ Rr5r;"S'S(\ Rr5r<"S)S*\ Rr5r="S+S,\ Rr5r>"S-S.\ Rr5r?"S/S0\ Rr5r@"S1S2\ Rr5rA"S3S4\ Rr5rB"S5S6\5rC"S7S8\ Rr5rD"S9S:\ Rr5rE"S;S<\ Rr5rF"S=S>\ Rr5rGSeS?\ RrS@\ RhSA\ RhSB\ RhSC\ RhS-SD\HSE\H4SFjjrI"SGSH\ Rr5rJ"SISJ\ Rr5rK"SKSL\ Rr5rL"SMSN\ Rr5rM"SOSP\ Rr5rN"SQSR\5rO"SSST\ Rr5rP"SUSV\ Rr5rQ\""SWSX\55rR"SYSZ\R5rS\""S[S9"S\S]\R55rT\""S^S_\R55rU\""S`Sa\R55rV\""SbSc\R55rW/SdQrXg)fzPyTorch CLAP model.N)Callable) dataclass)Any)nn)initialization)ACT2FN)GradientCheckpointingLayer)BaseModelOutputBaseModelOutputWithPooling)ALL_ATTENTION_FUNCTIONSPreTrainedModel)Unpack)apply_chunking_to_forward) ModelOutputTransformersKwargsauto_docstringcan_return_tuplelogging torch_int)merge_with_config_defaults)capture_outputs)ClapAudioConfig ClapConfigClapTextConfigcURup#nUSS2SS2SSS24RSSUS5nURX#U-U5nU$)aI Interpolate data in time domain. This is used to compensate the resolution reduction in downsampling of a CNN. Args: hidden_states (`torch.FloatTensor` of shape (batch_size, time_length, classes_num)): Input hidden states ratio (`int`): The ratio of the length of the output to the length of the input. Nr)shaperepeatreshape) hidden_statesratio batch_size time_length classes_num upsampleds w/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/clap/modeling_clap.py interpolater(.sT.;-@-@*ZkaD!m,33Aq%CI!!*E.A;OI cURup#pEURX#U-XU-X5nURSSSSSS5R5RSXU5nU$)a2 Returns the resized hidden states. The output shape should be `(batch_size * num_windows, window_size, window_size, num_channels)` Args: hidden_states (`torch.FloatTensor` of shape `(batch_size, height, width, num_channels)`): Input hidden states window_size (`int`): Window size rrrrviewpermute contiguous)r! window_sizer#heightwidth num_channelswindowss r'window_partitionr8?so/<.A.A+J!&&k);8LkM##Aq!Q15@@BGGKfrsG Nr)cURSnURSX!-X1-XU5nURSSSSSS5R5RSX#U5nU$)a_ Merges windows to produce higher resolution features. Args: windows (`torch.FloatTensor` of shape `(num_windows * batch_size, window_size, window_size, num_channels)`): Input windows window_size (`int`): Window size height (`int`): Height of the resized audio width (`int`): Width of the resized audio r.rrrr+r,r-r/)r7r3r4r5r6s r'window_reverser:Tse==$Lll2v4e6JKfrsGooaAq!Q/::<AA"fUabG Nr)logitsreturnc[R"[U5URS9n[R R X5$)Ndevice)torcharangelenr?r functional cross_entropy)r;labelss r'contrastive_lossrFis/ \\#f+fmm