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# Copyright (c) 2023-2024, Zexin He
#
# 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
#
# https://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.
import torch
import torch.nn as nn
from transformers import ViTImageProcessor, ViTModel
from accelerate.logging import get_logger
logger = get_logger(__name__)
class DinoWrapper(nn.Module):
"""
Dino v1 wrapper using huggingface transformer implementation.
"""
def __init__(self, model_name: str, freeze: bool = True):
super().__init__()
self.model, self.processor = self._build_dino(model_name)
if freeze:
self._freeze()
def forward_model(self, inputs):
return self.model(**inputs, interpolate_pos_encoding=True)
def forward(self, image):
# image: [N, C, H, W], on cpu
# RGB image with [0,1] scale and properly sized
inputs = self.processor(images=image, return_tensors="pt", do_rescale=False, do_resize=False).to(self.model.device)
# This resampling of positional embedding uses bicubic interpolation
outputs = self.forward_model(inputs)
last_hidden_states = outputs.last_hidden_state
return last_hidden_states
def _freeze(self):
logger.warning(f"======== Freezing DinoWrapper ========")
self.model.eval()
for name, param in self.model.named_parameters():
param.requires_grad = False
@staticmethod
def _build_dino(model_name: str, proxy_error_retries: int = 3, proxy_error_cooldown: int = 5):
import requests
try:
model = ViTModel.from_pretrained(model_name, add_pooling_layer=False)
processor = ViTImageProcessor.from_pretrained(model_name)
return model, processor
except requests.exceptions.ProxyError as err:
if proxy_error_retries > 0:
print(f"Huggingface ProxyError: Retrying ({proxy_error_retries}) in {proxy_error_cooldown} seconds...")
import time
time.sleep(proxy_error_cooldown)
return DinoWrapper._build_dino(model_name, proxy_error_retries - 1, proxy_error_cooldown)
else:
raise err
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