tensorflow / tensorflow/privacy

import tensorflow_privacy -> AttributeError

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Description

Great job

docker run -it --rm --runtime=nvidia tensorflow/tensorflow:latest-gpu-jupyter /bin/bash

pip install tensorflow-privacy

python

>>> import tensorflow_privacy
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/tf/privacy/tensorflow_privacy/__init__.py", line 26, in <module> from tensorflow_privacy import v1 File "/tf/privacy/tensorflow_privacy/v1/__init__.py", line 28, in <module> from tensorflow_privacy.privacy.estimators.v1.dnn import DNNClassifier as DNNClassifierV1 File "/tf/privacy/tensorflow_privacy/privacy/estimators/v1/dnn.py", line 19, in <module> from tensorflow_privacy.privacy.estimators.v1 import head as head_lib File "/tf/privacy/tensorflow_privacy/privacy/estimators/v1/head.py", line 20, in <module> from tensorflow_estimator.python.estimator import model_fn File "/usr/local/lib/python3.11/dist-packages/tensorflow_estimator/python/estimator/model_fn.py", line 29, in <module> from tensorflow_estimator.python.estimator.mode_keys import ModeKeys File "/usr/local/lib/python3.11/dist-packages/tensorflow_estimator/python/estimator/mode_keys.py", line 24, in <module> estimator_export('estimator.ModeKeys')(ModeKeys) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/tensorflow_estimator/python/estimator/estimator_export.py", line 63, in __init__ super().__init__(*args, api_name=tf_export.ESTIMATOR_API_NAME, v1=v1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: module 'tensorflow.python.util.tf_export' has no attribute 'ESTIMATOR_API_NAME'

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Research direction

Reproduce the failure with the listed TensorFlow GPU Docker command, pip install tensorflow-privacy, and import tensorflow_privacy. Start with tensorflow_privacy/init.py and tensorflow_privacy/v1/init.py, then follow the traceback through privacy/estimators/v1/head.py and tensorflow_estimator's model_fn.py and mode_keys.py. Done means the import completes without the reported AttributeError.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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