Unable to Load TF Dataset given the Max Recursion Error

[dsurwolee]

What I need help with / What I was wondering I am unable to load a tensorflow dataset in my local environment given the following error:

RecursionError: maximum recursion depth exceeded

What I've tried so far I have tried loading "movielens/100k-ratings" using the load dataset function call in the following manner:

movie_lens = tfds.load('movielens/100k-ratings')

I've also tried loading other datasets found in the tensorflow dataset collection - to no avail.

Download stage works, but the extraction stage is where it fails. Looking at the error log, it seems that the breakage is happening during the flattening process of the datafile:

`~/opt/anaconda3/envs/rec-engine/lib/python3.9/site-packages/tensorflow_datasets/core/download/download_manager.py in _map_promise(map_fn, all_inputs) 827 map_fn, all_inputs 828 ) # Apply the function --> 829 res = tree_utils.map_structure( 830 lambda p: p.get(), all_promises 831 ) # Wait promises

~/opt/anaconda3/envs/rec-engine/lib/python3.9/site-packages/tree/init.py in map_structure(func, *structures, **kwargs) 433 assert_same_structure(structures[0], other, check_types=check_types) 434 return unflatten_as(structures[0], --> 435 [func(*args) for args in zip(*map(flatten, structures))]) 436 437

~/opt/anaconda3/envs/rec-engine/lib/python3.9/site-packages/tree/init.py in flatten(structure) 229 TypeError: If structure is or contains a mapping with non-sortable keys. 230 """ --> 231 return _tree.flatten(structure) 232 233

~/opt/anaconda3/envs/rec-engine/lib/python3.9/abc.py in instancecheck(cls, instance) 117 def instancecheck(cls, instance): 118 """Override for isinstance(instance, cls).""" --> 119 return _abc_instancecheck(cls, instance) 120 121 def subclasscheck(cls, subclass):

~/opt/anaconda3/envs/rec-engine/lib/python3.9/abc.py in subclasscheck(cls, subclass) 121 def subclasscheck(cls, subclass): 122 """Override for issubclass(subclass, cls).""" --> 123 return _abc_subclasscheck(cls, subclass) 124 125 def _dump_registry(cls, file=None):

... last 1 frames repeated, from the frame below ...

~/opt/anaconda3/envs/rec-engine/lib/python3.9/abc.py in subclasscheck(cls, subclass) 121 def subclasscheck(cls, subclass): 122 """Override for issubclass(subclass, cls).""" --> 123 return _abc_subclasscheck(cls, subclass) 124 125 def _dump_registry(cls, file=None):`

It would be nice if... I'd appreciate any inputs on how to fix this as, ideally, I would want to avoid manually downloading the datasets then creating tensors on those data objects.

Environment information (if applicable)

• Operating System: MacOs Monterey (12.3)
• Python version: Python 3.9 (Anaconda)
• tensorflow-datasets: 4.8.2
• tensorflow: version: 2.10

[Alvov1]

Same here, year later. MacOS Sonoma 14.3.1 ARM, Python 3.12, tensorflow-datasets 4.9.4, tensorflow 2.16.0rc0

[jonasvonarb]

Same here. MacOs Ventura 13.4 ARM & MacOs Sonoma ARM, Python 3.12.2, tensorflow-datasets 4.9.4, tensorflow 2.16.0rc0

[jonasvonarb]

Same here. MacOs Ventura 13.4 ARM & MacOs Sonoma ARM, Python 3.12.2, tensorflow-datasets 4.9.4, tensorflow 2.16.0rc0

@Alvov1 I managed to get it to work by downgrading to Python Version 3.10.12 → Same as this Google-Notebook https://www.tensorflow.org/tutorials/images/segmentation

But would still be nice to have a solution with the newest version of Python!

[cleong110]

Same here, Ubuntu 22.04, Python 3.12, tfds-nightly 4.9.3.dev202310060044. Switching to Python 3.10 via conda did indeed fix the issue

[romanngg]

I am also experiencing an infinite recursion on Python 3.12 (but OK on other versions): https://github.com/romanngg/neural-tangents/actions/runs/8469568618/job/23205199748

[ayaka14732]

I have encountered the same issue on Debian, Python 3.12.1, tensorflow-datasets 4.9.4.

[ayaka14732]

Please change the issue label from "help" to "bug".

[hiraSyeda]

Hi, I am experiencing the similar issue! macOS Sonoma 14.4.1

[mikehb]

I am having the same issue on Fedora 39, with python 3.12.2

[amitchandna]

I am also having the same issue;

Python 3.12.0 OS: Ventura 13.5 tensorflow-datasets : 4.9.4 tensorflow: 2.16.1

[BoyoChen]

Same here:

Python 3.12.0 OS: Ubuntu 22.04.3 LTS tensorflow-datasets : 4.9.4 tensorflow: 2.16.1

[WrexFC]

Im having the same problem too with: Python 3.12.2 tensorflow datasets 4.9.4 tensorflow 2.16.1 Windows 11 version 23H2

[Oluwasunmibola]

I'm having the same issue Mac M1

[nkt780426]

I have the same issue Python 3.12 tensorflow 2.16.1 (gpu) tensorflow-datasets : 4.9.4 GPU: NVIDIA Geforce 1650 WSL2-Ubuntu

[jkarwowski]

Same problem:

Python 3.12.1 OS: Ubuntu 22.04.1 LTS GPU: NVIDIA GeForce 3060 tensorflow==2.16.1 tensorflow-datasets==4.9.4

[Oluwasunmibola]

I think it’s a problem with the 2.16 version. I looked at the documentation I think you can only save your model using .keras.

[ODAncona]

Same with :

python 3.12.2 OS: Ubuntu 23.10 x86_64 GPU: NVIDIA GeForce RTX 2080 SUPER tensorflow==2.16.1 tensorflow-datasets==4.9.4

[pedrocormann]

Same here. MacOS Sonoma 14.3.1 M2, Python 3.12, tensorflow-datasets 4.9.4, tensorflow 2.16.1

[abir-g]

I have the same issue. I solved it by switching to 3.10.11 version of python.

[RaffaeleMarino]

I have the same issue.

[RaffaeleMarino]

However using a conda env and a python3.10 I solved the issue.

[marcenacp]

This issue should be fixed in TFDS v4.9.6 that supports python 3.10, 3.11 and 3.12 (see the GitHub Actions). Feel free to reopen if you still have the problem!