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# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import os
import torch
from torch.nn.utils import weight_norm
def init_weights(m, mean=0.0, std=0.01):
classname = m.__class__.__name__
if classname.find("Conv") != -1:
m.weight.data.normal_(mean, std)
def apply_weight_norm(m):
classname = m.__class__.__name__
if classname.find("Conv") != -1:
weight_norm(m)
def get_padding(kernel_size, dilation=1):
return int((kernel_size * dilation - dilation) / 2)
def load_checkpoint(filepath, device):
assert os.path.isfile(filepath)
print(f"Loading '{filepath}'")
checkpoint_dict = torch.load(filepath, map_location=device)
print("Complete.")
return checkpoint_dict
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