SYMBOL INDEX (95 symbols across 11 files)

FILE: evaluation_tts.py
  function gen_parameters (line 51) | def gen_parameters(y_predicted, Y_mean, Y_std, mge_training=True):
  function gen_waveform (line 103) | def gen_waveform(y_predicted, Y_mean, Y_std, post_filter=False, coef=1.4,
  function _generator_input (line 133) | def _generator_input(hp, x, seed=None):
  function gen_duration (line 143) | def gen_duration(label_path, duration_model, X_min, X_max, Y_mean, Y_std):
  function tts_from_label (line 182) | def tts_from_label(models, label_path, X_min, X_max, Y_mean, Y_std,
  function load_checkpoint (line 228) | def load_checkpoint(model, optimizer, checkpoint_path):
  function get_lab_files (line 236) | def get_lab_files(data_dir, label_dir, test=False):
  function get_wav_files (line 247) | def get_wav_files(data_dir, wav_dir, test=False):

FILE: evaluation_vc.py
  function test_vc_from_path (line 40) | def test_vc_from_path(model, x, fs, data_mean, data_std, diffvc=True):
  function load_checkpoint (line 113) | def load_checkpoint(model, optimizer, checkpoint_path):
  function get_wav_files (line 121) | def get_wav_files(data_dir, wav_dir, test=False):

FILE: gantts/models.py
  class AbstractModel (line 11) | class AbstractModel(object):
    method include_parameter_generation (line 15) | def include_parameter_generation(self):
  class In2OutHighwayNet (line 21) | class In2OutHighwayNet(AbstractModel, nn.Module):
    method __init__ (line 33) | def __init__(self, in_dim=118, out_dim=118, static_dim=118 // 2,
    method include_parameter_generation (line 51) | def include_parameter_generation(self):
    method forward (line 54) | def forward(self, x, R, lengths=None):
  class In2OutRNNHighwayNet (line 72) | class In2OutRNNHighwayNet(AbstractModel, nn.Module):
    method __init__ (line 73) | def __init__(self, in_dim=118, out_dim=118, static_dim=118 // 2,
    method include_parameter_generation (line 89) | def include_parameter_generation(self):
    method forward (line 92) | def forward(self, x, R, lengths=None):
  class MLP (line 121) | class MLP(AbstractModel, nn.Module):
    method __init__ (line 122) | def __init__(self, in_dim=118, out_dim=1, num_hidden=2, hidden_dim=256,
    method forward (line 137) | def forward(self, x, lengths=None):
  class SRURNN (line 145) | class SRURNN(AbstractModel, nn.Module):
    method __init__ (line 146) | def __init__(self, in_dim=118, out_dim=118, num_hidden=2, hidden_dim=256,
    method forward (line 159) | def forward(self, sequence, lengths):
  class GRURNN (line 170) | class GRURNN(AbstractModel, nn.Module):
    method __init__ (line 171) | def __init__(self, in_dim=118, out_dim=118, num_hidden=2, hidden_dim=256,
    method forward (line 181) | def forward(self, sequence, lengths):
  class LSTMRNN (line 193) | class LSTMRNN(AbstractModel, nn.Module):
    method __init__ (line 194) | def __init__(self, in_dim=118, out_dim=118, num_hidden=2, hidden_dim=256,
    method forward (line 204) | def forward(self, sequence, lengths):

FILE: gantts/multistream.py
  function recompute_delta_features (line 15) | def recompute_delta_features(Y, Y_data_mean, Y_data_std,
  function select_streams (line 33) | def select_streams(inputs, stream_sizes=[60, 1, 1, 1],
  function get_static_stream_sizes (line 46) | def get_static_stream_sizes(stream_sizes, has_dynamic_features, num_wind...
  function get_static_features (line 56) | def get_static_features(inputs, num_windows, stream_sizes=[180, 3, 1, 3],
  function multi_stream_mlpg (line 82) | def multi_stream_mlpg(inputs, R,

FILE: gantts/seqloss.py
  function sequence_mask (line 9) | def sequence_mask(sequence_length, max_len=None):
  class MaskedMSELoss (line 27) | class MaskedMSELoss(nn.Module):
    method __init__ (line 28) | def __init__(self):
    method forward (line 32) | def forward(self, input, target, lengths=None, mask=None, max_len=None):

FILE: hparams.py
  function hparams_debug_string (line 9) | def hparams_debug_string(params):

FILE: prepare_features_tts.py
  class LinguisticSource (line 36) | class LinguisticSource(FileDataSource):
    method __init__ (line 37) | def __init__(self, data_root, max_files=None, add_frame_features=False,
    method collect_files (line 46) | def collect_files(self):
    method collect_features (line 55) | def collect_features(self, path):
  class DurationSource (line 70) | class DurationSource(FileDataSource):
    method __init__ (line 71) | def __init__(self, data_root, max_files=None):
    method collect_files (line 75) | def collect_files(self):
    method collect_features (line 84) | def collect_features(self, path):
  class AcousticSource (line 92) | class AcousticSource(FileDataSource):
    method __init__ (line 93) | def __init__(self, data_root, max_files=None):
    method collect_files (line 98) | def collect_files(self):
    method collect_features (line 108) | def collect_features(self, wav_path, label_path):

FILE: prepare_features_vc.py
  class MGCSource (line 37) | class MGCSource(cmu_arctic.WavFileDataSource):
    method __init__ (line 38) | def __init__(self, data_root, speakers, max_files=None):
    method collect_features (line 43) | def collect_features(self, wav_path):

FILE: setup.py
  class build_py (line 24) | class build_py(setuptools.command.build_py.build_py):
    method run (line 26) | def run(self):
    method create_version_file (line 31) | def create_version_file():
  class develop (line 39) | class develop(setuptools.command.develop.develop):
    method run (line 41) | def run(self):

FILE: tests/test_gantts.py
  function test_model (line 17) | def test_model():
  function test_select_streams (line 60) | def test_select_streams():
  function test_get_static_stream_sizes (line 90) | def test_get_static_stream_sizes():
  function test_get_static_features (line 100) | def test_get_static_features():
  function test_multi_stream_mlpg (line 132) | def test_multi_stream_mlpg():

FILE: train.py
  class NPYDataSource (line 71) | class NPYDataSource(FileDataSource):
    method __init__ (line 72) | def __init__(self, dirname, train=True, max_files=None, test=False):
    method collect_files (line 78) | def collect_files(self):
    method collect_features (line 92) | def collect_features(self, path):
  class VCDataset (line 96) | class VCDataset(object):
    method __init__ (line 97) | def __init__(self, X, Y, data_mean, data_std):
    method __getitem__ (line 103) | def __getitem__(self, idx):
    method __len__ (line 108) | def __len__(self):
  class TTSDataset (line 112) | class TTSDataset(object):
    method __init__ (line 113) | def __init__(self, X, Y, X_data_min, X_data_max, Y_data_mean, Y_data_s...
    method __getitem__ (line 121) | def __getitem__(self, idx):
    method __len__ (line 135) | def __len__(self):
  function _pad_2d (line 139) | def _pad_2d(x, max_len):
  function collate_fn (line 145) | def collate_fn(batch):
  function save_checkpoint (line 162) | def save_checkpoint(model, optimizer, epoch, checkpoint_dir, name):
  function get_vc_data_loaders (line 174) | def get_vc_data_loaders(X, Y, data_mean, data_var):
  function get_tts_data_loaders (line 202) | def get_tts_data_loaders(X, Y, X_data_min, X_data_max, Y_data_mean, Y_da...
  function get_selected_static_stream (line 232) | def get_selected_static_stream(y_hat_static):
  function update_discriminator (line 245) | def update_discriminator(model_d, optimizer_d, x, y_static, y_hat_static...
  function update_generator (line 282) | def update_generator(model_g, model_d, optimizer_g,
  function exp_lr_scheduler (line 323) | def exp_lr_scheduler(optimizer, epoch, nepoch, init_lr=0.0001, lr_decay_...
  function apply_generator (line 336) | def apply_generator(model_g, x, R, lengths):
  function inv_scale (line 358) | def inv_scale(mgc, lf0, vuv, bap, Y_mean, Y_std, binalize_vuv=True):
  function split_streams (line 383) | def split_streams(y_static, Y_data_mean, Y_data_std):
  function compute_distortions (line 399) | def compute_distortions(y_static, y_hat_static, Y_data_mean, Y_data_std,...
  function train_loop (line 435) | def train_loop(models, optimizers, dataset_loaders,
  function load_checkpoint (line 651) | def load_checkpoint(model, optimizer, checkpoint_path):