Importing inference gym

[Charles Margossian]

Hello,

I'm using a notebook that runs experiments on the inference gym and I'm having issues importing the gym. The code works on Colab and I had it working earlier on my local machine. But something broke when I fired up a new notebook...

The only additional step I took before starting the new notebook is running the following commandpip install tensorflow_probability[tfds]

which was recommended after I attempted to load the German Credit example, and which is required to load real datasets (and that worked just fine). But now I wonder if this may have broken something.

Here's the error:

----> 6 from inference_gym import using_jax as gym
and the error message at the end:

ValueError: Arg specs do not match: original=FullArgSpec(args=['input', 'out_type', 'name'], varargs=None, varkw=None, defaults=(None, None), kwonlyargs=[], kwonlydefaults=None, annotations={}), new=FullArgSpec(args=['input', 'out_type', 'name'], varargs=None, varkw=None, defaults=(tf.int32, None), kwonlyargs=[], kwonlydefaults=None, annotations={}), fn=<function size_v2 at 0x7feeed7c78b0>
The full message is much no longer and I can post it if it helps. I'm looking for some guidance interpreting the error message.



Thank you for your help!Charles

[Charles Margossian]

So I uninstalled TFP,

pip uninstall tensorflow_probability

and installed the nightly version via

!rm -Rf probability
!rm -Rf fun_mc
!rm -Rf inference_gym
!git clone https://github.com/tensorflow/probability.git
!mv probability/spinoffs/fun_mc/fun_mc .
!mv probability/spinoffs/inference_gym/inference_gym .
!pip install tf-nightly tfp-nightly jax jaxlib

This removes the error I had previously, but now importing the gym returns the following error

AttributeError: module 'tensorflow_probability.substrates.jax' has no attribute 'tf2jax'

[Pavel Sountsov]

I just tried the tutorial notebook and that still appeared to work. Note that after the pip command succeeded, I restarted the runtime since I think that's necessary to pick up the newly installed packages rather than the builin TensorFlow etc.

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[Charles Margossian]

Thanks for the pointer Pavel. I reinstalled the packages and then started a new kernel, and this seems to solve the problem. I'll keep testing on more examples.