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hparams.py
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hparams.py
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import tensorflow as tf
# Default hyperparameters:
hparams = tf.contrib.training.HParams(
# Text:
force_lowercase=True,
expand_abbreviations=True,
use_cmudict=False,
# Audio:
num_mels=80,
num_freq=1025,
sample_rate=20000,
frame_length_ms=50,
frame_shift_ms=12.5,
preemphasis=0.97,
min_level_db=-100,
ref_level_db=20,
# Model:
# TODO: add more configurable hparams
outputs_per_step=5,
# Training:
batch_size=32,
adam_beta1=0.9,
adam_beta2=0.999,
initial_learning_rate=0.002,
decay_learning_rate=True,
# Eval:
max_iters=200,
griffin_lim_iters=60
)
def hparams_debug_string():
values = hparams.values()
hp = [' %s: %s' % (name, values[name]) for name in sorted(values)]
return 'Hyperparameters:\n' + '\n'.join(hp)