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Hi @fengyang0317, thanks for your interest in tfds.data_source. This API is meant to use random access (see the tutorial). There is currently no implementation of random access for GCS. If you have an efficient C++ implementation, please feel free to contribute to array_record.
We should provide a clearer error message, so I'll work on this.
In the meantime, you would have to first prepare the data locally before using tfds.data_source.
/!\ PLEASE INCLUDE THE FULL STACKTRACE AND CODE SNIPPET
Short description
tfds.data_source does not work as intended.
Environment information
Operating System: google colab
Python version: google colab
tensorflow-datasets
/tfds-nightly
version: 4.9.3.dev202309300044tensorflow
/tf-nightly
version: 2.15.0.dev20230929Does the issue still exists with the last
tfds-nightly
package (pip install --upgrade tfds-nightly
) ?Yes
Reproduction instructions
There are 5 errors in the colab.
https://colab.research.google.com/drive/1QoIYKYUeM00VeVTElCfnSrQdQL0vfAyQ?usp=sharing
Expected behavior
run the colab without error
Additional context
The text was updated successfully, but these errors were encountered: