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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from abc import ABC, abstractmethod
import typing as tp
import torch
import torch.nn as nn
FeatureMapType = tp.List[torch.Tensor]
LogitsType = torch.Tensor
MultiDiscriminatorOutputType = tp.Tuple[tp.List[LogitsType], tp.List[FeatureMapType]]
class MultiDiscriminator(ABC, nn.Module):
"""Base implementation for discriminators composed of sub-discriminators acting at different scales.
"""
def __init__(self):
super().__init__()
@abstractmethod
def forward(self, x: torch.Tensor) -> MultiDiscriminatorOutputType:
...
@property
@abstractmethod
def num_discriminators(self) -> int:
"""Number of discriminators.
"""
...
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