错误：
AttributeError: module 'keras._tf_keras.keras.layers' has no attribute 'experimental'
当我试图验证是否正确下载了张量流对象检测时，发生了这种情况。
这是我用于验证过程的代码：
VERIFICATION_SCRIPT = os.path.join(paths['APIMODEL_PATH'], 'research', 'object_detection', 'builders', 'model_builder_tf2_test.py')
# Verify Installation
!python {VERIFICATION_SCRIPT}
pip list shows me this:
absl-py 1.4.0
asttokens 2.4.1
astunparse 1.6.3
bleach 6.1.0
cachetools 5.3.3
certifi 2024.2.2
charset-normalizer 3.3.2
click 8.1.7
colorama 0.4.6
comm 0.2.2
contourpy 1.2.1
cycler 0.12.1
Cython 0.29.37
debugpy 1.8.1
decorator 5.1.1
dm-tree 0.1.8
etils 1.8.0
executing 2.0.1
flatbuffers 24.3.25
fonttools 4.50.0
fsspec 2024.3.1
gast 0.5.4
gin-config 0.5.0
google-api-core 2.18.0
google-api-python-client 2.124.0
google-auth 2.29.0
google-auth-httplib2 0.2.0
google-pasta 0.2.0
googleapis-common-protos 1.63.0
grpcio 1.62.1
h5py 3.10.0
httplib2 0.22.0
idna 3.6
importlib_resources 6.4.0
ipykernel 6.29.4
ipython 8.23.0
jedi 0.19.1
joblib 1.3.2
jupyter_client 8.6.1
jupyter_core 5.7.2
kaggle 1.6.8
keras 3.1.1
kiwisolver 1.4.5
libclang 18.1.1
lxml 5.2.1
Markdown 3.6
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.3
matplotlib-inline 0.1.6
mdurl 0.1.2
ml-dtypes 0.3.2
namex 0.0.7
nest-asyncio 1.6.0
numpy 1.26.4
oauth2client 4.1.3
opencv-python 4.9.0.80
opencv-python-headless 4.9.0.80
opt-einsum 3.3.0
optree 0.11.0
packaging 24.0
pandas 2.2.1
parso 0.8.3
pillow 10.3.0
pip 24.0
platformdirs 4.2.0
portalocker 2.8.2
promise 2.3
prompt-toolkit 3.0.43
proto-plus 1.23.0
protobuf 3.20.3
psutil 5.9.8
pure-eval 0.2.2
py-cpuinfo 9.0.0
pyasn1 0.6.0
pyasn1_modules 0.4.0
pycocotools 2.0.7
Pygments 2.17.2
pyparsing 3.1.2
python-dateutil 2.9.0.post0
python-slugify 8.0.4
pytz 2024.1
pywin32 306
PyYAML 5.4.1
pyzmq 25.1.2
regex 2023.12.25
requests 2.31.0
rich 13.7.1
rsa 4.9
sacrebleu 2.4.1
scikit-learn 1.4.1.post1
scipy 1.13.0
sentencepiece 0.2.0
seqeval 1.2.2
setuptools 65.5.0
six 1.16.0
stack-data 0.6.3
tabulate 0.9.0
tensorboard 2.16.2
tensorboard-data-server 0.7.2
tensorflow 2.16.1
tensorflow-addons 0.22.0
tensorflow-datasets 4.9.4
tensorflow-hub 0.16.1
tensorflow-intel 2.16.1
tensorflow-io-gcs-filesystem 0.31.0
tensorflow-metadata 1.14.0
tensorflow-model-optimization 0.8.0
termcolor 2.4.0
text-unidecode 1.3
tf_keras 2.16.0
tf-models-official 2.5.1
tf-slim 1.1.0
threadpoolctl 3.4.0
toml 0.10.2
tornado 6.4
tqdm 4.66.2
traitlets 5.14.2
typeguard 2.13.3
typing_extensions 4.10.0
tzdata 2024.1
uritemplate 4.1.1
urllib3 2.2.1
wcwidth 0.2.13
webencodings 0.5.1
Werkzeug 3.0.2
wget 3.2
wheel 0.43.0
wrapt 1.16.0
zipp 3.18.1
TensorFlow 版本与您尝试验证的对象检测模型所需的版本不匹配。 您可以尝试以下一些方法：
更新张量流
pip install --升级张量流
验证您尝试安装的型号的兼容性并安装正确版本的tensorflow