SYMBOL INDEX (80 symbols across 19 files)

FILE: debug/debug_dataset.py
  function check_for_invalid_values (line 13) | def check_for_invalid_values(inp, labels):
  function check_empty (line 21) | def check_empty(inp, labels):
  function get_dataset (line 46) | def get_dataset(data_dir,
  function main (line 68) | def main(args):
  function parse_args (line 83) | def parse_args():

FILE: debug/get_common_voice_stats.py
  function main (line 7) | def main(args):
  function parse_args (line 43) | def parse_args():

FILE: model.py
  class TimeReduction (line 8) | class TimeReduction(tf.keras.layers.Layer):
    method __init__ (line 10) | def __init__(self,
    method call (line 20) | def call(self, inputs):
  function encoder (line 39) | def encoder(specs_shape,
  function prediction_network (line 84) | def prediction_network(vocab_size,
  function build_keras_model (line 119) | def build_keras_model(hparams,

FILE: preprocess_common_voice.py
  function write_dataset (line 24) | def write_dataset(dataset, name):
  function main (line 36) | def main(_):

FILE: preprocess_librispeech.py
  function write_dataset (line 24) | def write_dataset(dataset, name):
  function main (line 36) | def main(_):

FILE: quantize_model.py
  function main (line 8) | def main(args):
  function parse_args (line 31) | def parse_args():

FILE: run_rnnt.py
  function get_dataset (line 66) | def get_dataset(data_dir,
  function configure_environment (line 93) | def configure_environment(gpu_names,
  function setup_hparams (line 134) | def setup_hparams(log_dir,
  function run_metrics (line 223) | def run_metrics(inputs,
  function run_training (line 233) | def run_training(model,
  function run_evaluate (line 380) | def run_evaluate(model,
  function main (line 444) | def main(_):

FILE: scripts/remove_missing_samples.py
  function remove_missing (line 5) | def remove_missing(data_dir, fname, replace_old=True):
  function main (line 25) | def main(args):
  function parse_args (line 37) | def parse_args():

FILE: streaming_transcribe.py
  function main (line 23) | def main(args):
  function parse_args (line 84) | def parse_args():

FILE: transcribe_file.py
  function main (line 14) | def main(args):
  function parse_args (line 44) | def parse_args():

FILE: utils/data/common_voice.py
  function tf_parse_line (line 7) | def tf_parse_line(line, data_dir):
  function load_dataset (line 22) | def load_dataset(base_path, name):
  function texts_generator (line 35) | def texts_generator(base_path):

FILE: utils/data/librispeech.py
  function load_audio (line 6) | def load_audio(filepath):
  function tf_load_audio (line 11) | def tf_load_audio(filepath):
  function tf_file_exists (line 19) | def tf_file_exists(filepath):
  function tf_parse_line (line 27) | def tf_parse_line(line, data_dir, split_names):
  function get_transcript_files (line 52) | def get_transcript_files(base_path, split_names):
  function load_dataset (line 66) | def load_dataset(base_path, split_names):
  function texts_generator (line 77) | def texts_generator(base_path, split_names):

FILE: utils/decoding.py
  function joint (line 6) | def joint(model, f, g):
  function greedy_decode_fn (line 21) | def greedy_decode_fn(model, hparams):

FILE: utils/encoding.py
  function build_lookup_table (line 9) | def build_lookup_table(keys, values=None, default_value=-1):
  function wordpiece_encode (line 21) | def wordpiece_encode(text, encoder):
  function tf_wordpiece_encode (line 27) | def tf_wordpiece_encode(text, encoder):
  function wordpiece_decode (line 33) | def wordpiece_decode(ids, encoder):
  function tf_wordpiece_decode (line 38) | def tf_wordpiece_decode(ids, encoder):
  function tf_vocab_encode (line 44) | def tf_vocab_encode(text, vocab_table):
  function get_encoder (line 51) | def get_encoder(encoder_dir,

FILE: utils/loss.py
  function get_loss_fn (line 12) | def get_loss_fn(reduction_factor):

FILE: utils/metrics.py
  function error_rate (line 6) | def error_rate(y_true, decoded):
  function string_to_sparse (line 29) | def string_to_sparse(str_tensor):
  function token_error_rate (line 42) | def token_error_rate(y_true, decoded, tok_fn, idx_to_text):
  function build_accuracy_fn (line 59) | def build_accuracy_fn(decode_fn):
  function build_wer_fn (line 76) | def build_wer_fn(decode_fn, idx_to_text):

FILE: utils/model.py
  function load_hparams (line 9) | def load_hparams(model_dir):
  function save_hparams (line 15) | def save_hparams(hparams, model_dir):

FILE: utils/preprocessing.py
  function tf_load_audio (line 12) | def tf_load_audio(path, pre_emphasis=0.97):
  function normalize_text (line 24) | def normalize_text(text):
  function tf_normalize_text (line 32) | def tf_normalize_text(text):
  function print_tensor (line 40) | def print_tensor(t, template='{}'):
  function compute_mel_spectrograms (line 48) | def compute_mel_spectrograms(audio_arr,
  function downsample_spec (line 84) | def downsample_spec(mel_spec, n=3):
  function load_dataset (line 97) | def load_dataset(data_dir, name):
  function parse_example (line 110) | def parse_example(serialized_example):
  function serialize_example (line 132) | def serialize_example(mel_specs,
  function tf_serialize_example (line 163) | def tf_serialize_example(mel_specs,
  function preprocess_text (line 177) | def preprocess_text(text, encoder_fn, vocab_size):
  function plot_spec (line 186) | def plot_spec(spec, sr, transcription, name):
  function tf_plot_spec (line 199) | def tf_plot_spec(spec, sr, transcription, name):
  function plot_audio (line 213) | def plot_audio(audio_arr, sr, trans, name):
  function tf_plot_audio (line 227) | def tf_plot_audio(audio_arr, sr, trans, name):
  function preprocess_audio (line 238) | def preprocess_audio(audio,
  function preprocess_dataset (line 256) | def preprocess_dataset(dataset,

FILE: utils/vocabulary.py
  function init_vocab (line 1) | def init_vocab():
  function load_vocab (line 9) | def load_vocab(filepath):
  function save_vocab (line 25) | def save_vocab(vocab, filepath):