/
params.py
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/
params.py
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# Copyright 2020 LMNT, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
import numpy as np
class AttrDict(dict):
def __init__(self, *args, **kwargs):
super(AttrDict, self).__init__(*args, **kwargs)
self.__dict__ = self
def override(self, attrs):
if isinstance(attrs, dict):
self.__dict__.update(**attrs)
elif isinstance(attrs, (list, tuple, set)):
for attr in attrs:
self.override(attr)
elif attrs is None:
pass
else:
raise NotImplementedError
return self
params = AttrDict(
# Training params
batch_size=32,
learning_rate=2e-4,
max_grad_norm=1.0,
# Data params
sample_rate=22050,
hop_samples=300, # Don't change this. Really.
crop_mel_frames=24,
# Model params
noise_schedule=np.linspace(1e-6, 0.01, 1000).tolist(),
)