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import torch
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class BaseInference(object):
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def __init__(self):
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self.decoder = None
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def inverse(self, **kwargs):
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pass
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@torch.no_grad()
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def generate(self, codes):
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return self.decoder([codes], input_is_latent=True, return_latents=False)[0]
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def edit(self, **kwargs):
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pass
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