mirror of
https://github.com/huggingface/diffusers.git
synced 2026-01-29 07:22:12 +03:00
48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
# Copyright 2025 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
|
|
|
|
@property
|
|
def device(self) -> torch.device:
|
|
return None
|
|
|
|
@property
|
|
def dtype(self) -> torch.dtype:
|
|
return self._dtype
|