CODEWITHSUNDEEP
python-3.xtensorflow
hawkeye
hawkeye

Reputation: 35692

How to convert this tensorflow 1.0 code to tensorflow 2.0 when the upgrade script fails?

I have the following tensorflow 1.0 code:

import tensorflow as tf

feature_cols = tf.contrib.learn.infer_real_valued_columns_from_input(X_train)
dnn_clf = tf.contrib.learn.DNNClassifier(hidden_units=[300,100], n_classes=10,
                                         feature_columns=feature_cols)
dnn_clf = tf.contrib.learn.SKCompat(dnn_clf)  # if TensorFlow >= 1.1
dnn_clf.fit(X_train, y_train, batch_size=50, steps=40000)

When I try to run the converter:

tf_upgrade_v2 --infile mlp.py --outfile mlp2.py

I get the following error:

--------------------------------------------------------------------------------
File: mlp.py
--------------------------------------------------------------------------------
mlp.py:3:15: ERROR: Using member tf.contrib.learn.infer_real_valued_columns_from_input in 
deprecated module tf.contrib. tf.contrib.learn.infer_real_valued_columns_from_input cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please 
consider an alternative in non-contrib TensorFlow, a community-maintained repository such as 
tensorflow/addons, or fork the required code.
mlp.py:4:10: ERROR: Using member tf.contrib.learn.DNNClassifier in deprecated module tf.contrib. tf.contrib.learn.DNNClassifier cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
mlp.py:6:10: ERROR: Using member tf.contrib.learn.SKCompat in deprecated module tf.contrib. tf.contrib.learn.SKCompat cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.

My question is: How to convert this tensorflow 1.0 code to tensorflow 2.0 when the upgrade script fails?

Upvotes: 0

Views: 387

Answers (1)

user11530462
user11530462

Reputation:

Some of the Tensorflow 1.x libraries are moved to Tensorflow/addons and few of them are replaced with Tensorflow.Estimator in Tensorflow 2.x. tf_upgrade_v2 script will not completely upgrade code from Tfv1.x to Tfv2.x. This script will accelerate your upgrade process by converting existing TensorFlow 1.x Python scripts to TensorFlow 2.0.

In this case tf.contrib.learn is replaced with Estimator.

TF2.x compatible code: Replace

tf.contrib.learn.DNNLinearCombinedRegressor

with

tf.estimator.DNNLinearCombinedRegressor

Take a look at this link for more information

Upvotes: 1

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