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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 | |