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AttributeError: module 'tensorflow' has no attribute 'to_float' #95
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@mdanatg Can I work on this issue? Also I wanted to ask that if we have to remove this line ? |
Sure! Feel free to assign the issue to yourself and send me a PR. The fix should be straightforward, by replacing |
I'm getting this error when following this github code The error comes when calling gaussian_glimpse() -> This is internally calling gaussian_mask() and it has to_float() How do I solve this? I tried to search for gaussian_mask() python code in my libraries, but couldn't find it. I'm using Tensorflow 2.0.0 I'm stuck |
If you can, you should replace If that's not an option, then a very hacky way of getting past the error is to do this, just after importing:
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Thank you. In which source file do I need to change? I've not written tf.to_float() in my jupyter notebook. This function is getting called behind the scenes and thankfully throwing the error visibly. But, now, I don't know where could I make the change? |
In that case you probably want to avoid changing code outside your notebook and your best bet it to add the tf.to_float alias, as shown above. Add the line at the top of your notebook, just below the imports. |
Thank you, could you please give the exact code to add. I searched but couldn't find any |
Here it is. You should run it before everything else in your notebook.
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Thank you so much! It solved my issue. Could you please give some pointers what exactly is happening? Does this mean, I can replace the behavior of any standard function with my own function? Thank you. |
I'm using TF 2.0, and I get this error when I import tangent, due to a list of non-differentiable functions that includes
tf.to_float
(line 60), which is deprecated:https://www.tensorflow.org/versions/r1.14/api_docs/python/tf/to_float
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