SYMBOL INDEX (63 symbols across 12 files)

FILE: Chapter05/read.py
  function load_doc (line 12) | def load_doc(filename):
  function to_sentences (line 22) | def to_sentences(doc):
  function sentence_lengths (line 26) | def sentence_lengths(sentences):
  function clean_lines (line 34) | def clean_lines(lines):

FILE: Chapter05/read_clean.py
  function load_clean_sentences (line 14) | def load_clean_sentences(filename):
  function save_clean_sentences (line 18) | def save_clean_sentences(sentences, filename):
  function to_vocab (line 23) | def to_vocab(lines):
  function trim_vocab (line 31) | def trim_vocab(vocab, min_occurance):
  function update_dataset (line 36) | def update_dataset(lines, vocab):

FILE: Chapter06/gpt-2-train_files/accumulate.py
  class AccumulatingOptimizer (line 9) | class AccumulatingOptimizer(object):
    method __init__ (line 10) | def __init__(self, opt, var_list):
    method reset (line 18) | def reset(self):
    method compute_gradients (line 25) | def compute_gradients(self, loss):
    method apply_gradients (line 33) | def apply_gradients(self):

FILE: Chapter06/gpt-2-train_files/encode.py
  function main (line 21) | def main():

FILE: Chapter06/gpt-2-train_files/load_dataset.py
  function load_dataset (line 8) | def load_dataset(enc, path, combine, encoding=None):
  function binary_search (line 46) | def binary_search(f, lo, hi):
  class Sampler (line 58) | class Sampler(object):
    method __init__ (line 64) | def __init__(self, chunks, seed=None):
    method sample (line 72) | def sample(self, length):

FILE: Chapter06/gpt-2-train_files/memory_saving_gradients.py
  function gradients_speed (line 23) | def gradients_speed(ys, xs, grad_ys=None, **kwargs):
  function gradients_memory (line 26) | def gradients_memory(ys, xs, grad_ys=None, **kwargs):
  function gradients_collection (line 29) | def gradients_collection(ys, xs, grad_ys=None, **kwargs):
  function gradients (line 32) | def gradients(ys, xs, grad_ys=None, checkpoints='collection', **kwargs):
  function tf_toposort (line 302) | def tf_toposort(ts, within_ops=None):
  function fast_backward_ops (line 320) | def fast_backward_ops(within_ops, seed_ops, stop_at_ts):
  function capture_ops (line 326) | def capture_ops():
  function _to_op (line 342) | def _to_op(tensor_or_op):
  function _to_ops (line 347) | def _to_ops(iterable):
  function _is_iterable (line 352) | def _is_iterable(o):
  function debug_print (line 360) | def debug_print(s, *args):
  function format_ops (line 372) | def format_ops(ops, sort_outputs=True):
  function my_add_control_inputs (line 384) | def my_add_control_inputs(wait_to_do_ops, inputs_to_do_before):

FILE: Chapter06/gpt-2-train_files/train.py
  function maketree (line 56) | def maketree(path):
  function randomize (line 63) | def randomize(context, hparams, p):
  function main (line 72) | def main():

FILE: Chapter08/gpt-2-train_files/accumulate.py
  class AccumulatingOptimizer (line 9) | class AccumulatingOptimizer(object):
    method __init__ (line 10) | def __init__(self, opt, var_list):
    method reset (line 18) | def reset(self):
    method compute_gradients (line 25) | def compute_gradients(self, loss):
    method apply_gradients (line 33) | def apply_gradients(self):

FILE: Chapter08/gpt-2-train_files/encode.py
  function main (line 21) | def main():

FILE: Chapter08/gpt-2-train_files/load_dataset.py
  function load_dataset (line 8) | def load_dataset(enc, path, combine, encoding=None):
  function binary_search (line 46) | def binary_search(f, lo, hi):
  class Sampler (line 58) | class Sampler(object):
    method __init__ (line 64) | def __init__(self, chunks, seed=None):
    method sample (line 72) | def sample(self, length):

FILE: Chapter08/gpt-2-train_files/memory_saving_gradients.py
  function gradients_speed (line 23) | def gradients_speed(ys, xs, grad_ys=None, **kwargs):
  function gradients_memory (line 26) | def gradients_memory(ys, xs, grad_ys=None, **kwargs):
  function gradients_collection (line 29) | def gradients_collection(ys, xs, grad_ys=None, **kwargs):
  function gradients (line 32) | def gradients(ys, xs, grad_ys=None, checkpoints='collection', **kwargs):
  function tf_toposort (line 302) | def tf_toposort(ts, within_ops=None):
  function fast_backward_ops (line 320) | def fast_backward_ops(within_ops, seed_ops, stop_at_ts):
  function capture_ops (line 326) | def capture_ops():
  function _to_op (line 342) | def _to_op(tensor_or_op):
  function _to_ops (line 347) | def _to_ops(iterable):
  function _is_iterable (line 352) | def _is_iterable(o):
  function debug_print (line 360) | def debug_print(s, *args):
  function format_ops (line 372) | def format_ops(ops, sort_outputs=True):
  function my_add_control_inputs (line 384) | def my_add_control_inputs(wait_to_do_ops, inputs_to_do_before):

FILE: Chapter08/gpt-2-train_files/train.py
  function maketree (line 56) | def maketree(path):
  function randomize (line 63) | def randomize(context, hparams, p):
  function main (line 72) | def main():