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

Methodforward
(self, x)
models/bs_roformer/bs_roformer.py:246
Methodforward
(self, x)
models/bs_roformer/bs_roformer.py:276
Methodforward
(self, x)
models/bs_roformer/bs_roformer.py:336
Methodforward
einops b - batch f - freq t - time s - audio channel (1 for mono, 2 for stereo) n - number of 'stems
models/bs_roformer/bs_roformer.py:506
Methodforward
einstein notation b - batch h - heads n, i, j - sequence length (base sequence length, source, target) d - fe
models/bs_roformer/attend.py:97
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:63
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:82
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:116
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:168
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:224
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:239
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:261
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:299
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:341
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:362
Methodforward
(self, x)
models/bs_roformer/mel_band_conformer.py:404
Methodforward
einops dims: b - batch f - freq t - time s - audio channel (1 mono, 2 stereo) n - stems c - c
models/bs_roformer/mel_band_conformer.py:572
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer.py:66
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer.py:90
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer.py:127
Methodforward
( self, x )
models/bs_roformer/mel_band_roformer.py:191
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer.py:254
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer.py:284
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer.py:344
Methodforward
einops b - batch f - freq t - time s - audio channel (1 for mono, 2 for stereo) n - number of 'stems
models/bs_roformer/mel_band_roformer.py:538
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:61
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:80
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:114
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:166
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:222
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:237
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:259
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:297
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:339
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:360
Methodforward
(self, x)
models/bs_roformer/bs_conformer.py:402
Methodforward
einops b - batch f - freq t - time s - audio channel (1 mono, 2 stereo) n - number of stems c
models/bs_roformer/bs_conformer.py:560
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer_experimental.py:60
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer_experimental.py:84
Methodforward
(self, x, value_residual=None)
models/bs_roformer/mel_band_roformer_experimental.py:120
Methodforward
( self, x )
models/bs_roformer/mel_band_roformer_experimental.py:185
Methodforward
(self, x, value_residual=None)
models/bs_roformer/mel_band_roformer_experimental.py:250
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer_experimental.py:290
Methodforward
(self, x)
models/bs_roformer/mel_band_roformer_experimental.py:350
Methodforward
einops b - batch f - freq t - time s - audio channel (1 for mono, 2 for stereo) n - number of 'stems
models/bs_roformer/mel_band_roformer_experimental.py:531
Methodforward
(self, x)
models/bs_roformer/bs_roformer_experimental.py:51
Methodforward
(self, x)
models/bs_roformer/bs_roformer_experimental.py:75
Methodforward
(self, x, value_residual=None)
models/bs_roformer/bs_roformer_experimental.py:111
Methodforward
( self, x )
models/bs_roformer/bs_roformer_experimental.py:176
Methodforward
(self, x, value_residual=None)
models/bs_roformer/bs_roformer_experimental.py:239
Methodforward
(self, x)
models/bs_roformer/bs_roformer_experimental.py:279
Methodforward
(self, x)
models/bs_roformer/bs_roformer_experimental.py:339
Methodforward
einops b - batch f - freq t - time s - audio channel (1 for mono, 2 for stereo) n - number of 'stems
models/bs_roformer/bs_roformer_experimental.py:496
Methodforward
(self, x)
models/scnet_unofficial/scnet.py:45
Methodforward
(self, x)
models/scnet_unofficial/scnet.py:68
Methodforward
Performs forward pass through the SCNet. Args: - x (torch.Tensor): Input tensor of shape (B, C, T). Returns:
models/scnet_unofficial/scnet.py:196
Methodforward
Performs forward pass through the Downsample module. Args: - x (torch.Tensor): Input tensor of shape (B, C_in, F, T).
models/scnet_unofficial/modules/sd_encoder.py:43
Methodforward
Performs forward pass through the ConvolutionModule. Args: - x (torch.Tensor): Input tensor of shape (B, T, D). Ret
models/scnet_unofficial/modules/sd_encoder.py:120
Methodforward
Performs forward pass through the SDLayer. Args: - x (torch.Tensor): Input tensor of shape (B, Fi, T, Ci). Returns:
models/scnet_unofficial/modules/sd_encoder.py:191
Methodforward
Performs forward pass through the SDBlock. Args: - x (torch.Tensor): Input tensor of shape (B, Fi, T, Ci). Returns:
models/scnet_unofficial/modules/sd_encoder.py:273
Methodforward
Performs forward pass through the FusionLayer. Args: - x1 (torch.Tensor): First input tensor of shape (B, F, T, C).
models/scnet_unofficial/modules/su_decoder.py:48
Methodforward
Performs forward pass through the Upsample module. Args: - x (torch.Tensor): Input tensor of shape (B, C_in, F, T).
models/scnet_unofficial/modules/su_decoder.py:99
Methodforward
Performs forward pass through the SULayer. Args: - x (torch.Tensor): Input tensor of shape (B, F, T, C). Returns:
models/scnet_unofficial/modules/su_decoder.py:160
Methodforward
Performs forward pass through the SUBlock. Args: - x (torch.Tensor): Input tensor of shape (B, Fi-1, T, Ci-1). - x_s
models/scnet_unofficial/modules/su_decoder.py:228
Methodforward
(self, x)
models/scnet_unofficial/modules/dualpath_rnn.py:11
Methodforward
(self, x)
models/scnet_unofficial/modules/dualpath_rnn.py:26
Methodforward
Performs forward pass through the RNNModule. Args: - x (torch.Tensor): Input tensor of shape (B, T, D). Returns:
models/scnet_unofficial/modules/dualpath_rnn.py:62
Methodforward
Performs forward or inverse FFT on the input tensor x. Args: - x (torch.Tensor): Input tensor of shape (B, F, T, D).
models/scnet_unofficial/modules/dualpath_rnn.py:106
Methodforward
Performs forward pass through the DualPathRNN. Args: - x (torch.Tensor): Input tensor of shape (B, F, T, D). Return
models/scnet_unofficial/modules/dualpath_rnn.py:200
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:63
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:72
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:89
Methodforward
(self, input)
models/bs_mamba2_code/bs_mamba2.py:134
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:194
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:254
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:276
Methodforward
(self, x)
models/bs_mamba2_code/bs_mamba2.py:322
Methodforward
Input and output are T-F complex-valued features. Input shape: batch_size, n_channels, freq, time] Output shape: batch_size,
models/bs_mamba2_code/bs_mamba2.py:592
Methodforward
einstein notation b - batch h - heads n, i, j - sequence length (base sequence length, source, target) d - fe
models/bs_mamba2_code/attend_mamba.py:103
Methodfrom_pretrain
(pretrained_model_conf_or_path, *args, **kwargs)
models/look2hear/models/base_model.py:59
Methodget_band_specs
(self)
models/bandit/core/model/bsrnn/utils.py:102
Methodget_band_specs
(self)
models/bandit/core/model/bsrnn/utils.py:225
Methodget_band_specs
(self)
models/bandit/core/model/bsrnn/utils.py:258
Methodget_band_specs
(self)
models/bandit/core/model/bsrnn/utils.py:331
Methodget_band_specs
(self)
models/bandit_v2/utils.py:96
Methodget_band_specs
(self)
models/bandit_v2/utils.py:193
Methodget_band_specs
(self)
models/bandit_v2/utils.py:218
Methodget_band_specs
(self)
models/bandit_v2/utils.py:275
Methodget_identifier
(self, index: int)
models/bandit/core/data/base.py:62
Methodget_identifier
(self, index)
models/bandit/core/data/dnr/dataset.py:286
Functionget_model
( config_path, weights_path, device, )
models/bandit/model_from_config.py:14
Methodget_model
Construct the SquimObjective model, and load the pretrained weight. The weight file is downloaded from the internet and cached with :
models/bandit/core/metrics/_squim.py:344
Methodget_model_args
(self)
models/look2hear/models/apollo.py:322
Functionget_norm
(norm_type)
models/upernet_swin_transformers.py:53
Methodget_stem
( self, *, stem: str, identifier: Dict[str, Any],
models/bandit/core/data/dnr/dataset.py:189
Methodget_stems
( self, batch: BatchedDataDict, batch_idx: int = 0, dataloader
models/bandit/core/__init__.py:616
Functionget_track_length
(params)
utils/dataset.py:209
Methodindex_to_hertz
(self, index: int)
models/bandit/core/model/bsrnn/utils.py:62
Methodindex_to_hertz
(self, index: int)
models/bandit_v2/utils.py:61
Functioninner
(x)
models/bs_roformer/attend.py:27
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