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Running
on
Zero
# 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__() | |
def forward(self, x: torch.Tensor) -> MultiDiscriminatorOutputType: | |
... | |
def num_discriminators(self) -> int: | |
"""Number of discriminators. | |
""" | |
... | |