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Functions993 in github.com/ZFTurbo/Music-Source-Separation-Training

⨍ Functions 993◇ Types & classes 292
Method__init__
(self, dim, dim_inputs: Tuple[int, ...], depth, mlp_expansion_factor = 4)
models/bs_roformer/mel_band_conformer.py:392
Method__init__
( self, dim, *, depth, stereo=False, num_stems=1, time
models/bs_roformer/mel_band_conformer.py:417
Method__init__
( self, dim, mult=4, dropout=0. )
models/bs_roformer/mel_band_roformer.py:73
Method__init__
( self, dim, heads=8, dim_head=64, dropout=0.,
models/bs_roformer/mel_band_roformer.py:95
Method__init__
( self, *, dim, dim_head=32, heads=8,
models/bs_roformer/mel_band_roformer.py:159
Method__init__
( self, *, dim, depth, dim_head=64, he
models/bs_roformer/mel_band_roformer.py:208
Method__init__
( self, dim, dim_inputs: Tuple[int, ...] )
models/bs_roformer/mel_band_roformer.py:267
Method__init__
( self, dim, dim_inputs: Tuple[int, ...], depth, m
models/bs_roformer/mel_band_roformer.py:322
Method__init__
( self, dim, *, depth, stereo=False, n
models/bs_roformer/mel_band_roformer.py:361
Method__init__
(self, dim, mult=4, dropout=0.)
models/bs_roformer/bs_conformer.py:68
Method__init__
( self, dim, heads=8, dim_head=64, dropout=0., rotary_embed=No
models/bs_roformer/bs_conformer.py:87
Method__init__
( self, *, dim, dim_head=32, heads=8, scale=8, flash=F
models/bs_roformer/bs_conformer.py:138
Method__init__
( self, *, dim, depth, dim_head=64, heads=8, attn_drop
models/bs_roformer/bs_conformer.py:178
Method__init__
(self, dim, mult=4, dropout=0.)
models/bs_roformer/bs_conformer.py:232
Method__init__
(self, dim, expansion_factor=2, kernel_size=31, dropout=0.)
models/bs_roformer/bs_conformer.py:242
Method__init__
( self, *, dim, heads=8, dim_head=64, ff_mult=4, attn_
models/bs_roformer/bs_conformer.py:264
Method__init__
( self, *, dim, depth, dim_head=64, heads=8, attn_drop
models/bs_roformer/bs_conformer.py:306
Method__init__
(self, dim, dim_inputs: Tuple[int, ...])
models/bs_roformer/bs_conformer.py:349
Method__init__
(self, dim, dim_inputs: Tuple[int, ...], depth, mlp_expansion_factor = 4)
models/bs_roformer/bs_conformer.py:390
Method__init__
( self, dim, *, depth, stereo = False, num_stems = 1,
models/bs_roformer/bs_conformer.py:426
Method__init__
( self, dim, mult=4, dropout=0. )
models/bs_roformer/mel_band_roformer_experimental.py:67
Method__init__
( self, dim, heads=8, dim_head=64, dropout=0.,
models/bs_roformer/mel_band_roformer_experimental.py:89
Method__init__
( self, *, dim, dim_head=32, heads=8,
models/bs_roformer/mel_band_roformer_experimental.py:153
Method__init__
( self, *, dim, depth, dim_head=64, he
models/bs_roformer/mel_band_roformer_experimental.py:202
Method__init__
( self, dim, dim_inputs: Tuple[int, ...] )
models/bs_roformer/mel_band_roformer_experimental.py:273
Method__init__
( self, dim, dim_inputs: Tuple[int, ...], depth, m
models/bs_roformer/mel_band_roformer_experimental.py:328
Method__init__
( self, dim, *, depth, stereo=False, n
models/bs_roformer/mel_band_roformer_experimental.py:367
Method__init__
( self, dim, mult=4, dropout=0. )
models/bs_roformer/bs_roformer_experimental.py:58
Method__init__
( self, dim, heads=8, dim_head=64, dropout=0.,
models/bs_roformer/bs_roformer_experimental.py:80
Method__init__
( self, *, dim, dim_head=32, heads=8,
models/bs_roformer/bs_roformer_experimental.py:144
Method__init__
( self, *, dim, depth, dim_head=64, he
models/bs_roformer/bs_roformer_experimental.py:193
Method__init__
( self, dim, dim_inputs: Tuple[int, ...] )
models/bs_roformer/bs_roformer_experimental.py:262
Method__init__
( self, dim, dim_inputs: Tuple[int, ...], depth, m
models/bs_roformer/bs_roformer_experimental.py:317
Method__init__
( self, dim, *, depth, stereo=False, n
models/bs_roformer/bs_roformer_experimental.py:368
Method__init__
(self, dim)
models/scnet_unofficial/scnet.py:40
Method__init__
( self, dim, dim_inputs: Tuple[int, ...] )
models/scnet_unofficial/scnet.py:51
Method__init__
Initializes Downsample with input dimension, output dimension, and stride.
models/scnet_unofficial/modules/sd_encoder.py:31
Method__init__
Initializes ConvolutionModule with input dimension, hidden dimension, kernel sizes, and bias.
models/scnet_unofficial/modules/sd_encoder.py:77
Method__init__
Initializes SDBlock with input dimension, output dimension, band split ratios, downsample strides, number of convolutional modules, and kerne
models/scnet_unofficial/modules/sd_encoder.py:241
Method__init__
Initializes FusionLayer with input dimension, kernel size, stride, and padding.
models/scnet_unofficial/modules/su_decoder.py:32
Method__init__
Initializes Upsample with input dimension, output dimension, stride, and output padding.
models/scnet_unofficial/modules/su_decoder.py:88
Method__init__
Initializes SUBlock with input dimension, output dimension, upsample strides, subband shapes, and subband intervals.
models/scnet_unofficial/modules/su_decoder.py:201
Method__init__
(self, d_model, d_state, d_conv, d_expand)
models/scnet_unofficial/modules/dualpath_rnn.py:16
Method__init__
Initializes RNNModule with input dimension, hidden dimension, and bidirectional flag.
models/scnet_unofficial/modules/dualpath_rnn.py:51
Method__init__
Initializes RFFTModule with inverse flag.
models/scnet_unofficial/modules/dualpath_rnn.py:99
Method__init__
Initializes DualPathRNN with the specified number of layers, input dimension, and hidden dimension.
models/scnet_unofficial/modules/dualpath_rnn.py:164
Method__init__
(self, pattern)
models/bs_mamba2_code/bs_mamba2.py:68
Method__init__
(self, dim, mult=4, dropout=0.0)
models/bs_mamba2_code/bs_mamba2.py:77
Method__init__
( self, in_channels, n_layer=1, bidirectional=False,
models/bs_mamba2_code/bs_mamba2.py:94
Method__init__
( self, dim, heads=8, dim_head=64, dropout=0.0,
models/bs_mamba2_code/bs_mamba2.py:164
Method__init__
( self, *, dim, depth, dim_head=64, he
models/bs_mamba2_code/bs_mamba2.py:216
Method__init__
(self, dim, dim_inputs: Tuple[int, ...])
models/bs_mamba2_code/bs_mamba2.py:266
Method__init__
(self, dim, dim_inputs: Tuple[int, ...], depth, mlp_expansion_factor=4)
models/bs_mamba2_code/bs_mamba2.py:308
Method__init__
( self, dim, *, depth, stereo=False, n
models/bs_mamba2_code/bs_mamba2.py:402
Method__init__
(self, dropout=0.0, flash=False, scale=None, idx=None)
models/bs_mamba2_code/attend_mamba.py:48
Method__len__
(self)
train_accelerate.py:84
Method__len__
(self)
utils/dataset.py:292
Method__len__
(self)
models/bandit/core/data/augmented.py:34
Method__len__
(self)
models/bandit/core/data/dnr/dataset.py:183
Method__len__
(self)
models/bandit/core/data/dnr/dataset.py:289
Method__len__
(self)
models/bandit/core/data/dnr/dataset.py:367
Method__len__
(self)
models/bandit/core/data/musdb/dataset.py:122
Method__len__
(self)
models/bandit/core/data/musdb/dataset.py:157
Method__len__
(self)
models/bandit/core/data/musdb/dataset.py:199
Method__str__
(self)
utils/muon.py:129
Method__str__
(self)
utils/muon.py:323
Method__str__
(self)
utils/muon.py:520
Method__str__
(self)
utils/muon.py:718
Method_add_rotary_emb
(self, feature, pos)
models/look2hear/models/apollo.py:100
Function_unsqueeze_to_3d
Normalize shape of `x` to [batch, n_chan, time].
models/look2hear/models/base_model.py:11
Functionabsmin
(a, *, axis)
ensemble.py:38
Functioncheck_stop_key
()
scripts/stream.py:176
Functioncheck_validation_single
(rank: int, world_size: int, args=None)
valid_ddp.py:17
Methodcompute
(self)
models/bandit/core/metrics/snr.py:87
Methodconfigure_optimizers
(self)
models/bandit/core/__init__.py:220
Functioncount_folders_in_folder
Counts the number of subfolders inside a given folder. Parameters: - folder_path (str): Path to the folder where the count is needed.
scripts/moises_to_musdb.py:213
Functiondefault
(v, d)
models/scnet/scnet_tran.py:22
Functiondraw_mel_spectrogram
Generate and save a spectrogram image from an audio waveform. Converts the provided waveform into a mono signal, computes its Short-Time
utils/audio_utils.py:296
Functionerb_filterbank
( n_bands: int, fs: int, f_min: float, f_max: float, n_freqs: int, )
models/bandit/core/model/bsrnn/utils.py:520
Methodextra_repr
Returns extra representation string with module's configuration.
models/scnet_unofficial/modules/dualpath_rnn.py:135
Functionfind_free_port
()
utils/settings.py:599
Methodforward
(self, x)
models/upernet_swin_transformers.py:89
Methodforward
(self, x)
models/upernet_swin_transformers.py:102
Methodforward
(self, x)
models/upernet_swin_transformers.py:137
Methodforward
(self, x)
models/upernet_swin_transformers.py:191
Methodforward
(self, x)
models/mel_band_conformer.py:29
Methodforward
(self, x)
models/mel_band_conformer.py:84
Methodforward
(self, x)
models/mel_band_conformer.py:116
Methodforward
b - batch f - freq t - time s - audio channel (1 mono / 2 stereo) n - stems c - complex (2) d
models/mel_band_conformer.py:273
Methodforward
x_stft_mag: (B, C, F, T_spec) returns: (B, 2 * (sources*channels), F, T_spec) — real/imag масок
models/conformer_model.py:52
Methodforward
x: (B, C, T) (микс в волне) returns y_hat: (B, S, C, T) — предсказанные источники в волне
models/conformer_model.py:142
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3_with_STHT.py:134
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3_with_STHT.py:147
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3_with_STHT.py:182
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3_with_STHT.py:257
Methodforward
(self, mix)
models/demucs4ht.py:548
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3.py:82
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3.py:95
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3.py:130
Methodforward
(self, x)
models/mdx23c_tfc_tdf_v3.py:204
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