TENSOR flow execution locally

[Queen_Saikia]

Hi,

I have tensorflow version- (in my local device)

import tensorflow
print(tensorflow.version)

2.0.0

but I am getting this error while executing reset default graph. please help me sir

AttributeError: module ‘tensorflow’ has no attribute ‘reset_default_graph’

AttributeError: module ‘tensorflow’ has no attribute ‘Session’

AttributeError: module ‘tensorflow’ has no attribute ‘global_variables_initializer’

I have used these below steps but didn’t work
https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/

[Queen_Saikia]

please help me sir its urgent i am unable to proceed further

[satyajit_das]

Hi, Queen.

You are using the tensorflow 2.0.0 version but you are running the commands for tensorflow 1.1 .

You need to explore on what are the corresponding packages or functions in tensorflow 2 as it is slightly changed.

Then you will be able to do it.

Kindly refer to the documentations

https://www.tensorflow.org/api_docs/python/tf/compat/v1/Session
https://www.tensorflow.org/api_docs/python/tf/compat/v1/global_variables_initializer
https://www.tensorflow.org/api_docs/python/tf/compat/v1/reset_default_graph
https://www.tensorflow.org/api_docs/python/
https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/framework/ops.py#L5780-L5797

All the best!

[Queen_Saikia]

Sir I am editing 1 attribute then there is error for the other it is very difficult to correct each and every code this way it is consuming a lot of time.
So sir please help me to resolve these errors please it is important as i have to do the final year project from 1st july and also i am unable to proceed with the course further.

errors :RuntimeError: tf.summary.FileWriter is not compatible with eager execution. Use tf.contrib.summary instead.
to solve the above error i have added ** **tf.compat.v1.disable_eager_execution()** ** now it is not showing nontype attribute run but , but eval is still not supported

RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

AttributeError: ‘NoneType’ object has no attribute 'run’

AttributeError: Tensor.graph is meaningless when eager execution is enabled.
NotImplementedError: eval is not supported when eager execution is enabled, is .numpy() what you’re looking for?

NotImplementedError: eval is not supported when eager execution is enabled, is .numpy() what you’re looking for?

RuntimeError: tf.gradients is not supported when eager execution is enabled. Use tf.GradientTape instead.

[Queen_Saikia]

for housing dataset it is not showing the graph

[satyajit_das]

Hi, Queen.

1. I can see that you are doing in your local system.
2. Which project you are doing?.
3. To avoid these error you have to know the Tensorflow_2 syntax.
   or you can do it in Tensorflow_1.
   Here are some resources that can help.
   https://cs224d.stanford.edu/lectures/CS224d-Lecture7.pdf

All the best!

[Queen_Saikia]

If we do locally then how we will run the tensor board like what will be the url for running tensorboard locally??

[satyajit_das]

You can refer to this for running tensorboard in CloudxLab environment :- [SOLVED] Cannot start Tensorboard Server

For running locally there is a different procedure, you need to download the packages in Jupyter environment and run it in your local host.

All the best!

[Queen_Saikia]

Okay can you please specify which package to download or how to download tensorboard in windows10 i am unable to do it???
Thank you

[satyajit_das]

Hi, Queen.

Kindly refer to the below

https://www.tensorflow.org/tensorboard/graphs

tensorflow-tensorboard

All the best!