SYMBOL INDEX (39 symbols across 6 files)

FILE: audio_style_transfer/models/nsynth.py
  function compute_wavenet_encoder_features (line 13) | def compute_wavenet_encoder_features(content, style):
  function compute_wavenet_encoder_stylization (line 76) | def compute_wavenet_encoder_stylization(n_samples,
  function compute_wavenet_decoder_features (line 154) | def compute_wavenet_decoder_features(content, style):
  function compute_wavenet_decoder_stylization (line 219) | def compute_wavenet_decoder_stylization(n_samples,
  function run (line 309) | def run(content_fname,
  function batch (line 358) | def batch(content_path, style_path, output_path, model):

FILE: audio_style_transfer/models/timedomain.py
  function chop (line 14) | def chop(signal, hop_size=256, frame_size=512):
  function unchop (line 27) | def unchop(frames, hop_size=256, frame_size=512):
  function dft_np (line 34) | def dft_np(signal, hop_size=256, fft_size=512):
  function idft_np (line 46) | def idft_np(re, im, hop_size=256, fft_size=512):
  function unwrap (line 59) | def unwrap(x):
  function instance_norm (line 63) | def instance_norm(x, epsilon=1e-5):
  function compute_inputs (line 91) | def compute_inputs(x, freqs, n_fft, n_frames, input_features, norm=False):
  function compute_features (line 131) | def compute_features(content,
  function compute_stylization (line 195) | def compute_stylization(kernels,
  function run (line 263) | def run(content_fname,
  function batch (line 326) | def batch(content_path, style_path, output_path, model):

FILE: audio_style_transfer/models/uylanov.py
  function read_audio_spectum (line 13) | def read_audio_spectum(filename, n_fft=2048, hop_length=512, sr=22050):
  function compute_features (line 20) | def compute_features(content,
  function compute_stylization (line 67) | def compute_stylization(kernels,
  function run (line 118) | def run(content_fname,
  function batch (line 177) | def batch(content_path, style_path, output_path):

FILE: audio_style_transfer/utils.py
  function limiter (line 13) | def limiter(signal,
  function chop (line 48) | def chop(signal, hop_size=256, frame_size=512):
  function unchop (line 61) | def unchop(frames, hop_size=256, frame_size=512):
  function matrix_dft (line 68) | def matrix_dft(V):
  function dft_np (line 76) | def dft_np(signal, hop_size=256, fft_size=512):
  function idft_np (line 88) | def idft_np(re, im, hop_size=256, fft_size=512):
  function rainbowgram (line 101) | def rainbowgram(path,
  function rainbowgrams (line 147) | def rainbowgrams(list_of_paths,
  function plot_rainbowgrams (line 187) | def plot_rainbowgrams():

FILE: search.py
  function get_path (line 10) | def get_path(model, output_path, content_filename, style_filename):
  function params (line 20) | def params():
  function batch (line 32) | def batch(content_path, style_path, output_path, run_timedomain=True, ru...

FILE: setup.py
  class UploadCommand (line 45) | class UploadCommand(Command):
    method status (line 52) | def status(s):
    method initialize_options (line 56) | def initialize_options(self):
    method finalize_options (line 59) | def finalize_options(self):
    method run (line 62) | def run(self):