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| # Copyright 2024 The HuggingFace Team. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # ===== This file is an implementation of a dummy guardrail for the fast tests ===== | |
| from typing import Union | |
| import numpy as np | |
| import torch | |
| from diffusers.configuration_utils import ConfigMixin | |
| from diffusers.models.modeling_utils import ModelMixin | |
| class DummyCosmosSafetyChecker(ModelMixin, ConfigMixin): | |
| def __init__(self) -> None: | |
| super().__init__() | |
| self._dtype = torch.float32 | |
| def check_text_safety(self, prompt: str) -> bool: | |
| return True | |
| def check_video_safety(self, frames: np.ndarray) -> np.ndarray: | |
| return frames | |
| def to(self, device: Union[str, torch.device] = None, dtype: torch.dtype = None) -> None: | |
| self._dtype = dtype | |
| def device(self) -> torch.device: | |
| return None | |
| def dtype(self) -> torch.dtype: | |
| return self._dtype | |