47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# Copyright 2025 Black Forest Labs and The HuggingFace Team. All rights reserved.
|
|
#
|
|
# 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.
|
|
|
|
|
|
from dataclasses import dataclass
|
|
from typing import Optional
|
|
|
|
import torch
|
|
import torch.nn as nn
|
|
|
|
from ...configuration_utils import ConfigMixin, register_to_config
|
|
from ...models.modeling_utils import ModelMixin
|
|
from ...utils import BaseOutput
|
|
|
|
|
|
@dataclass
|
|
class ReduxImageEncoderOutput(BaseOutput):
|
|
image_embeds: Optional[torch.Tensor] = None
|
|
|
|
|
|
class ReduxImageEncoder(ModelMixin, ConfigMixin):
|
|
@register_to_config
|
|
def __init__(
|
|
self,
|
|
redux_dim: int = 1152,
|
|
txt_in_features: int = 4096,
|
|
) -> None:
|
|
super().__init__()
|
|
|
|
self.redux_up = nn.Linear(redux_dim, txt_in_features * 3)
|
|
self.redux_down = nn.Linear(txt_in_features * 3, txt_in_features)
|
|
|
|
def forward(self, x: torch.Tensor) -> ReduxImageEncoderOutput:
|
|
projected_x = self.redux_down(nn.functional.silu(self.redux_up(x)))
|
|
|
|
return ReduxImageEncoderOutput(image_embeds=projected_x)
|