tensorflow / tensorflow/probability
cifar10_bnn.py: No module named 'tensorflow_probability.examples'
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Description
I'd like to understand how/where to include properly tensorflow_probability.examples in cifar10_bnn.py ?
/probability/tensorflow_probability/examples$ python cifar10_bnn.py
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
Traceback (most recent call last):
File "cifar10_bnn.py", line 51, in <module>
from tensorflow_probability.examples.models.bayesian_resnet import bayesian_resnet
ModuleNotFoundError: No module named 'tensorflow_probability.examples'
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with cifar10_bnn.py and the failing import of tensorflow_probability.examples.models.bayesian_resnet. Run the command shown in the issue to reproduce the ModuleNotFoundError, then determine from the project's current package layout how that import should be made available and verify that the example starts without this error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100