Comments (3)
We can't make caching tests faster because we have to test all the operations in different scenarios.
As for me, slow tests start from 5 minutes long duration. Why is it a problem for you to have 30s tests?
from datasetops.
We can't make caching tests faster because we have to test all the operations in different scenarios.
As for me, slow tests start from 5 minutes long duration. Why is it a problem for you to have 30s tests?
That everytime anyone wants to verify a change they have to wait ~40 seconds.
I am not saying the test should necessarily run faster, im saying there should be an easy way to avoid running expensive tests
from datasetops.
I agree that it would be very nice to shorten tests times a bit, and I think we can gain a bit in the from_tensorflow loader.
Another option may be to investigate whether tests can be run in parallel.
from datasetops.
Related Issues (20)
- Dataset.image should be callable by element names HOT 3
- Add dataset.remove method
- Add split_element to convert one element into a few other elements HOT 5
- Naming of dataset.py and declaration of transforms HOT 5
- Converting to_tensorflow with variable-shape elements HOT 3
- Make `custom` private HOT 2
- Remove `extend` from Loader HOT 1
- Standard samplers HOT 1
- Dataset shape property and debuggers
- standardize-transform performance
- MXNet compatibility
- Scikit-learn compatibility
- Docs should reflect the implementation
- Add workflow for doctests HOT 1
- Rename _downstream_getter -> _parent HOT 1
- Rename repeat times to copies and remove default value
- Add save function
- Online dataset downloaders
- Difference between Dataset and Loader HOT 1
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from datasetops.