Attributeerror: Module 'Tensorflow' Has No Attribute 'Gfile'
I Trained a Simple Mnist Model with Tensorflow 2.0 on Google Colab and Saved It in The. Json Format. Click Here to Check out the Colab Notebook Where I've...
I trained a simple mnist model with tensorflow 2.0 on Google Colab and saved it in the .json format. Click here to check out the Colab Notebook where I've written the code. Then on running the command
!simple_tensorflow_serving --model_base_path="/" --model_platform="tensorflow"
It is showing the error AttributeError: module 'tensorflow' has no attribute 'gfile'
simple_tensorflow_serving helps in easily deploying trained tensorflow model into production.
Versions I'm using:
(1) TensorFlow - 2.0
(2) simple_tensorflow_serving - 0.6.4
Thank you in advance :)
4 Answers
In 2.0, tf.gfile.* is replaced by tf.io.gfile.*.
when I get error:
File "/Users/MRJ/anaconda3/envs/python37-tf2.1/lib/python3.7/
site-packages/object_detection/utils/label_map_util.py",
line 137, in load_labelmap
with tf.gfile.GFile(path, 'r') as fid:
AttributeError: module 'tensorflow' has no attribute 'gfile'
1.Find label_map_util.py line 137.
2.Replace tf.gfile.GFile to tf.io.gfile.GFile
It's worked for me.
Simple Tensorflow Serving is not ready for Tensorflow 2.0, since it is using the old API.
In Tensorflow 2.0 the gfile package has been moved into tf.io.
Then, you have to downgrade your Tensorflow instance to TF 1.13 use Simple Tensorflow Serving
Instead, try
tf.io.gfile.GFile(
name, mode='r'
)
i.e ".io" will solve your all problems instead of downgrading your tf
change tf.gfile.GFile to tf.io.gfile.GFile it works for this instance but not for all other files example tf.io.gfile.FastGFile throws an error saying"AttributeError: module 'tensorflow._api.v2.io.gfile' has no attribute 'FastGFile'". I hope it save you time.
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