aws / aws/amazon-sagemaker-examples
tensorflow_distributed_mnist_neo.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_neo_compilation_jobs/tensorflow_distributed_mnist/tensorflow_distributed_mnist_neo.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
1 import utils
----> 2 from tensorflow.contrib.learn.python.learn.datasets import mnist
3 import tensorflow as tf
4
5 data_sets = mnist.read_data_sets('data', dtype=tf.uint8, reshape=False, validation_size=5000)
ModuleNotFoundError: No module named 'tensorflow.contrib'
Contributor guide
Research direction
Open sagemaker_neo_compilation_jobs/tensorflow_distributed_mnist/tensorflow_distributed_mnist_neo.ipynb and inspect cell In[2], starting with the failing tensorflow.contrib.learn.datasets.mnist import. Run the notebook or its CI check and verify that the MNIST data-loading step completes without the reported ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100