Falak

Hi! You need to pass in the class numbers as list of integers - so in the above case, the input would be something like classes=[0,1,2]. Doing this should resolve...

Hi @HeminQadir There's an open issue in TensorFlow of this error occurring when you import graph using the above method, since it is unable to compute gradients. See: [this link](https://github.com/tensorflow/tensorflow/issues/7404)...

Hi! You need to pass in the input_tensor argument too. You can get the tensor from the graph using get_tensor_by_name() function as explained [here](https://stackoverflow.com/questions/36612512/tensorflow-how-to-get-a-tensor-by-name). This should solve your problem. Thanks!

Hi @HeminQadir Sorry for the late reply. You'll need to put (None, 244,244,1) in the reshape input. Please check if that works. We're writing a paper on this library. So,...

So, we think we now have this error finally figured out. This occurs when there is an operation/ block in the network which does not have a gradient defined. This...

Nope, not unless you have 2 python versions on your machine and you ran setup.py using python 2 and the jupyter notebook is trying to import using python3.

If you were able to run the command from tf_cnnvis import * without any error and are still getting the error saying activation_visualization is not defined, then I'm not sure...

I signed it!

Same error, but in my case this occurs in a call from zipline

Also, the Benchmark being used in the examples on playground to compute time is unclear. Does it need to wrap the function being called into another function for benchmarking?