PoeticTTS / Layers /MultiSequential.py
Florian Lux
add initial infrastructure
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# Written by Shigeki Karita, 2019
# Published under Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# Adapted by Florian Lux, 2021
import torch
class MultiSequential(torch.nn.Sequential):
"""
Multi-input multi-output torch.nn.Sequential.
"""
def forward(self, *args):
"""
Repeat.
"""
for m in self:
args = m(*args)
return args
def repeat(N, fn):
"""
Repeat module N times.
Args:
N (int): Number of repeat time.
fn (Callable): Function to generate module.
Returns:
MultiSequential: Repeated model instance.
"""
return MultiSequential(*[fn(n) for n in range(N)])