Request for environment

[unknowed-ER]

I encountered the following error：

2021-12-19 21:55:51,066 - tensorflow - WARNING - From /home/fsx/dureader2.0/tfmrc/model/multi_task_mrc.py:329: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.

2021-12-19 21:55:57,006 - brc - INFO - Time to build graph: 8.593860626220703 s
Traceback (most recent call last):
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
return fn(*args)
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1339, in _run_fn
self._extend_graph()
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1374, in _extend_graph
tf_session.ExtendSession(self._session)
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNN' used by {{node cu_dnngru/CudnnRNN}}with these attrs: [seed=0, dropout=0, T=DT_FLOAT, input_mode="linear_input", direction="unidirectional", rnn_mode="gru", seed2=0, is_training=true]
Registered devices: [CPU, XLA_CPU, XLA_GPU]
Registered kernels:
device='GPU'; T in [DT_DOUBLE]
device='GPU'; T in [DT_FLOAT]
device='GPU'; T in [DT_HALF]

[[cu_dnngru/CudnnRNN]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/fsx/dureader2.0/tfmrc/run.py", line 411, in
run()
File "/home/fsx/dureader2.0/tfmrc/run.py", line 403, in run
train(args)
File "/home/fsx/dureader2.0/tfmrc/run.py", line 274, in train
rc_model = MultiAnsModel(vocab, args)
File "/home/fsx/dureader2.0/tfmrc/model/multi_task_mrc.py", line 59, in init
self._build_graph()
File "/home/fsx/dureader2.0/tfmrc/model/multi_task_mrc.py", line 81, in _build_graph
param_num = sum([np.prod(self.sess.run(tf.shape(v))) for v in self.all_params])
File "/home/fsx/dureader2.0/tfmrc/model/multi_task_mrc.py", line 81, in
param_num = sum([np.prod(self.sess.run(tf.shape(v))) for v in self.all_params])
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 950, in run
run_metadata_ptr)
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1350, in _do_run
run_metadata)
File "/home/fsx/anaconda3/envs/dureader/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1370, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNN' used by node cu_dnngru/CudnnRNN (defined at /dureader2.0/tfmrc/layers/rnet_modules/recurrent.py:41) with these attrs: [seed=0, dropout=0, T=DT_FLOAT, input_mode="linear_input", direction="unidirectional", rnn_mode="gru", seed2=0, is_training=true]
Registered devices: [CPU, XLA_CPU, XLA_GPU]
Registered kernels:
device='GPU'; T in [DT_DOUBLE]
device='GPU'; T in [DT_FLOAT]
device='GPU'; T in [DT_HALF]

[[cu_dnngru/CudnnRNN]]

I find tensorflow/tensorflow#26600, but it didn't solve my problem.
This is my environment

cudnn 7.4.1
cuda 10.0
gcc 4.8.5

absl-py 1.0.0
astor 0.8.1
cached-property 1.5.2
certifi 2021.10.8
click 8.0.3
gast 0.5.3
google-pasta 0.2.0
grpcio 1.43.0
h5py 3.6.0
hanziconv 0.3.2
importlib-metadata 4.9.0
joblib 1.1.0
keras 2.7.0
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
Markdown 3.3.6
nltk 3.6.5
numpy 1.16.0
pandas 1.1.5
pip 21.2.2
protobuf 3.19.1
python-dateutil 2.8.2
pytz 2021.3
regex 2021.11.10
setuptools 58.0.4
six 1.16.0
tensorboard 1.14.0
tensorflow 1.14.0
tensorflow-estimator 1.14.0
tensorflow-gpu 1.14.0
termcolor 1.1.0
tqdm 4.62.3
typing_extensions 4.0.1
Werkzeug 2.0.2
wheel 0.37.0
wrapt 1.13.3
zipp 3.6.0

Could you please provide your environment?

进程已结束，退出代码为 1