We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
0.3.4版本,执行notebook示例:Run Self Defined Problem,出现以下错误: InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: cycle_length must be > 0 [[node ExperimentalParallelInterleaveDataset (defined at /home/appadmin/anaconda3/envs/multi_task/lib/python3.6/site-packages/bert_multitask_learning-0.3.4-py3.6.egg/bert_multitask_learning/read_write_tfrecord.py:520) ]] [[MultiDeviceIteratorToStringHandle/_8865]] (1) Invalid argument: cycle_length must be > 0 [[node ExperimentalParallelInterleaveDataset (defined at /home/appadmin/anaconda3/envs/multi_task/lib/python3.6/site-packages/bert_multitask_learning-0.3.4-py3.6.egg/bert_multitask_learning/read_write_tfrecord.py:520) ]] 0 successful operations. 0 derived errors ignored.
cycle_length
运行环境如下: tensorflow==1.14.0 keras==2.3.1 tensor2tensor==1.15.5
how to solve it
The text was updated successfully, but these errors were encountered:
No branches or pull requests
0.3.4版本,执行notebook示例:Run Self Defined Problem,出现以下错误:
InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument:
cycle_length
must be > 0[[node ExperimentalParallelInterleaveDataset (defined at /home/appadmin/anaconda3/envs/multi_task/lib/python3.6/site-packages/bert_multitask_learning-0.3.4-py3.6.egg/bert_multitask_learning/read_write_tfrecord.py:520) ]]
[[MultiDeviceIteratorToStringHandle/_8865]]
(1) Invalid argument:
cycle_length
must be > 0[[node ExperimentalParallelInterleaveDataset (defined at /home/appadmin/anaconda3/envs/multi_task/lib/python3.6/site-packages/bert_multitask_learning-0.3.4-py3.6.egg/bert_multitask_learning/read_write_tfrecord.py:520) ]]
0 successful operations.
0 derived errors ignored.
运行环境如下:
tensorflow==1.14.0
keras==2.3.1
tensor2tensor==1.15.5
how to solve it
The text was updated successfully, but these errors were encountered: