aws / aws/amazon-sagemaker-examples
working-with-tfrecords.ipynb failed CI
- Dominant language
- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker_batch_transform/working_with_tfrecords/working-with-tfrecords.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
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AttributeError Traceback (most recent call last)
in
21 # create the output file
22 open(tfrecord_root + output_file, 'a').close()
---> 23 with tf.python_io.TFRecordWriter(tfrecord_root + output_file) as writer:
24 with open(csv_root + input_file,'r') as f:
25 f.readline() # skip first line
AttributeError: module 'tensorflow' has no attribute 'python_io'
Contributor guide
Research direction
Open sagemaker_batch_transform/working_with_tfrecords/working-with-tfrecords.ipynb and inspect cell In [2], which fails while creating a TFRecord writer. First reproduce the notebook CI failure and check the TensorFlow API available in the test environment. Done means the notebook runs through that cell without the reported AttributeError and CI passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 52/100