SYMBOL INDEX (29 symbols across 5 files) FILE: src/encoder.py function bytes_to_unicode (line 9) | def bytes_to_unicode(): function get_pairs (line 30) | def get_pairs(word): class Encoder (line 42) | class Encoder: method __init__ (line 43) | def __init__(self, encoder, bpe_merges, errors='replace'): method bpe (line 55) | def bpe(self, token): method encode (line 96) | def encode(self, text): method decode (line 103) | def decode(self, tokens): function get_encoder (line 108) | def get_encoder(model_name, models_dir): FILE: src/generate_unconditional_samples.py function sample_model (line 11) | def sample_model( FILE: src/interactive_conditional_samples.py function interact_model (line 11) | def interact_model( FILE: src/model.py function default_hparams (line 5) | def default_hparams(): function shape_list (line 14) | def shape_list(x): function softmax (line 20) | def softmax(x, axis=-1): function gelu (line 25) | def gelu(x): function norm (line 28) | def norm(x, scope, *, axis=-1, epsilon=1e-5): function split_states (line 40) | def split_states(x, n): function merge_states (line 45) | def merge_states(x): function conv1d (line 50) | def conv1d(x, scope, nf, *, w_init_stdev=0.02): function attention_mask (line 58) | def attention_mask(nd, ns, *, dtype): function attn (line 69) | def attn(x, scope, n_state, *, past, hparams): function mlp (line 115) | def mlp(x, scope, n_state, *, hparams): function block (line 123) | def block(x, scope, *, past, hparams): function past_shape (line 132) | def past_shape(*, hparams, batch_size=None, sequence=None): function expand_tile (line 135) | def expand_tile(value, size): function positions_for (line 141) | def positions_for(tokens, past_length): function model (line 147) | def model(hparams, X, past=None, scope='model', reuse=False): FILE: src/sample.py function top_k_logits (line 5) | def top_k_logits(logits, k): function top_p_logits (line 25) | def top_p_logits(logits, p): function sample_sequence (line 43) | def sample_sequence(*, hparams, length, start_token=None, batch_size=Non...