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[FEATURE] #2178
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enhancement
New feature or request
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Hey @neyazbasheer Thank you for raising the issue. Not sure if you noticed the https://docs.deeplake.ai/en/latest/deeplake.html#deeplake.compute |
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馃毃馃毃 Feature Request
Is your feature request related to a problem?
In the above example when new samples are computed we need to make sure all tensors are passed to the sample_out even if it's unmodified. It will be really helpful if we can pipe them directly without explicitly having to get them as numpy or dict.
Description of the possible solution
An alternative solution to the problem can look like
it could also be an additional decorator or an option in the existing decorator.
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