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Does the issue still exists with the last tfds-nightly package (pip install --upgrade tfds-nightly) ?
Yes
Reproduction instructions
load any dataset
importtensorflow_datasetsastfdsimporttensorflowastf# Construct a tf.data.Datasetds=tfds.load('mnist', split='train', as_supervised=True, shuffle_files=True)
Stacktrace
Traceback (most recent call last):
File "C:/Users/rafadotnechi/Documents/PythonDev/load_test.py", line 5, in <module>
ds = tfds.load('mnist', split='train', as_supervised=True, shuffle_files=True)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\logging\__init__.py", line 176, in __call__
return function(*args, **kwargs)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\load.py", line 647, in load
_download_and_prepare_builder(dbuilder, download, download_and_prepare_kwargs)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\load.py", line 506, in _download_and_prepare_builder
dbuilder.download_and_prepare(**download_and_prepare_kwargs)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\logging\__init__.py", line 176, in __call__
return function(*args, **kwargs)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\dataset_builder.py", line 699, in download_and_prepare
self._download_and_prepare(
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\dataset_builder.py", line 1669, in _download_and_prepare
split_infos = self._generate_splits(dl_manager, download_config)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\dataset_builder.py", line 1620, in _generate_splits
split_generators = self._split_generators( # pylint: disable=unexpected-keyword-arg
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\image_classification\mnist.py", line 119, in _split_generators
mnist_files = dl_manager.download_and_extract(
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\download\download_manager.py", line 694, in download_and_extract
return _map_promise(self._download_extract, url_or_urls)
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow_datasets\core\download\download_manager.py", line 790, in _map_promise
all_promises = tree.map_structure(map_fn, all_inputs) # Apply the function
File "C:\Users\rafadotnechi\AppData\Local\Programs\Python\Python312\Lib\site-packages\etils\epy\lazy_imports_utils.py", line 109, in __getattr__
return getattr(self._module, name)
AttributeError: module 'tree' has no attribute 'map_structure'
The text was updated successfully, but these errors were encountered:
The error message indicates that the tree module does not have the map_structure attribute. This could happen if tree is not properly installed or if there’s an incompatible version.
Here’s a step-by-step approach to help resolve this issue:
Check Dependencies: Ensure that the tree module (which is part of dm-tree) is correctly installed. You can install or upgrade it with the following command: pip install -U dm-tree
Check Version Compatibility: Some versions of TensorFlow and TensorFlow Datasets may require a specific version of dm-tree. If you’ve updated TensorFlow or TensorFlow Datasets recently, it’s possible that dm-tree also needs an update. Make sure all packages are compatible by running: pip install --upgrade tensorflow tensorflow-datasets dm-tree
Reinstall TensorFlow Datasets and TensorFlow: In case the issue persists, try reinstalling both tensorflow and tensorflow-datasets. This can help resolve any hidden compatibility issues or corrupted installations: pip uninstall tensorflow tensorflow-datasets dm-tree
pip install tensorflow tfds-nightly dm-tree
Check Alternative Imports: If the above steps don't resolve the issue, you could check for alternative ways to load the dataset:
import tensorflow as tf
import tensorflow_datasets as tfds
/!\ PLEASE INCLUDE THE FULL STACKTRACE AND CODE SNIPPET
Short description
Description of the bug.
Environment information
Operating System: Windows 10
Python version: Python 3.12.4
tensorflow-datasets
/tfds-nightly
tensorflow-datasets / version: Version: 4.9.6tensorflow
/tf-nightly
version: tensorflow / Version: 2.16.1Does the issue still exists with the last
tfds-nightly
package (pip install --upgrade tfds-nightly
) ?Yes
Reproduction instructions
load any dataset
Stacktrace
The text was updated successfully, but these errors were encountered: