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another tts9 update

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This commit is contained in:
James Betker 2022-03-12 15:17:06 -07:00
parent 0523777ff7
commit 73bfd4a86d
1 changed files with 0 additions and 11 deletions
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codes/models/gpt_voice/unet_diffusion_tts9.py
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@ -155,7 +155,6 @@ class DiffusionTts(nn.Module):
# Parameters for super-sampling.
super_sampling=False,
super_sampling_max_noising_factor=.1,
jit_enabled=False,
):
super().__init__()
@ -179,8 +178,6 @@ class DiffusionTts(nn.Module):
self.super_sampling_max_noising_factor = super_sampling_max_noising_factor
self.unconditioned_percentage = unconditioned_percentage
self.enable_fp16 = use_fp16
self.jit_enabled = jit_enabled
self.jit_forward = None
padding = 1 if kernel_size == 3 else 2
down_kernel = 1 if efficient_convs else 3
@ -451,14 +448,6 @@ class DiffusionTts(nn.Module):
def register_diffusion_tts9(opt_net, opt):
return DiffusionTts(**opt_net['kwargs'])
@register_model
def register_traced_diffusion_tts9(opt_net, opt):
# Cannot use branching logic when training with torchscript.
assert(opt_get(opt_net['kwargs'], ['unconditioned_percentage'], 0) == 0)
model = DiffusionTts(**opt_net['kwargs'])
model = torch.jit.trace(model, example_inputs=(torch.randn(2,1,32868), torch.LongTensor([600,600]), torch.randn(2,388,1024),torch.randn(2,1,44000)))
return model
if __name__ == '__main__':
clip = torch.randn(2, 1, 32868)