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https://github.com/storytold/storyteller-ml.git
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ZDisket
456fc04e63
- Tacotron2 based on https://github.com/keonlee9420/Comprehensive-Tacotron2 - Removed DeepSpeaker and Tensorflow dependency - Added ARPA function - Replaced guided attention loss with Convolutional Attention Consistency
33 lines
915 B
Python
33 lines
915 B
Python
import torch
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import numpy as np
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class ScheduledOptim:
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""" A simple wrapper class for learning rate scheduling """
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def __init__(self, model, train_config):
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self._optimizer = torch.optim.Adam(
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model.parameters(),
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betas=train_config["optimizer"]["betas"],
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eps=train_config["optimizer"]["eps"],
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weight_decay=train_config["optimizer"]["weight_decay"]
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)
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self.init_lr = train_config["optimizer"]["init_lr"]
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self._init_learning_rate()
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def step_and_update_lr(self):
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self._optimizer.step()
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def zero_grad(self):
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# print(self.init_lr)
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self._optimizer.zero_grad()
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def load_state_dict(self, path):
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self._optimizer.load_state_dict(path)
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def _init_learning_rate(self):
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lr = self.init_lr
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for param_group in self._optimizer.param_groups:
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param_group["lr"] = lr
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