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[3/N] Data sources - docs #272

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merged 26 commits into from
May 11, 2021
Merged

[3/N] Data sources - docs #272

merged 26 commits into from
May 11, 2021

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ethanwharris
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@ethanwharris ethanwharris commented May 10, 2021

What does this PR do?

Fixes # (issue)

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codecov bot commented May 10, 2021

Codecov Report

Merging #272 (28c34c0) into master (e24aa62) will decrease coverage by 0.04%.
The diff coverage is 92.85%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #272      +/-   ##
==========================================
- Coverage   88.15%   88.11%   -0.05%     
==========================================
  Files          74       74              
  Lines        3564     3567       +3     
==========================================
+ Hits         3142     3143       +1     
- Misses        422      424       +2     
Flag Coverage Δ
unittests 88.11% <92.85%> (-0.05%) ⬇️

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Impacted Files Coverage Δ
flash/data/callback.py 100.00% <ø> (ø)
flash/data/data_module.py 92.27% <ø> (ø)
flash/data/transforms.py 100.00% <ø> (ø)
flash/vision/classification/data.py 93.81% <ø> (-0.07%) ⬇️
flash/vision/segmentation/data.py 88.80% <ø> (ø)
flash/tabular/classification/data/data.py 90.83% <71.42%> (-1.35%) ⬇️
flash/data/auto_dataset.py 95.83% <100.00%> (ø)
flash/data/data_source.py 96.72% <100.00%> (ø)
flash/data/process.py 93.59% <100.00%> (-0.04%) ⬇️
flash/vision/detection/data.py 97.26% <100.00%> (ø)

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@ethanwharris ethanwharris changed the title [WIP] [2/N] Data sources - docs [2/N] Data sources - docs May 11, 2021
@ethanwharris ethanwharris marked this pull request as ready for review May 11, 2021 12:28
@ethanwharris ethanwharris requested a review from tchaton as a code owner May 11, 2021 12:28
@ethanwharris ethanwharris requested a review from edgarriba May 11, 2021 12:29
@ethanwharris ethanwharris changed the title [2/N] Data sources - docs [3/N] Data sources - docs May 11, 2021
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LGTM overall !

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@edgarriba edgarriba left a comment

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LGTM

@@ -37,80 +36,135 @@ def __init__(self, num_inputs, learning_rate=0.001, metrics=None):
learning_rate=learning_rate,
)

def training_step(self, batch: Any, batch_idx: int) -> Any:
return super().training_step(
(batch[DefaultDataKeys.INPUT], batch[DefaultDataKeys.TARGET]),
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is there any way that in the user api we can use directly with strings to make it more clean and avoid to import the data keys class ? to look something like:

 (batch['input'], batch['target']),

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This isn't really the user API though. This doc is for best practices to create a new Task, and that would be using the DefaultDataKeys enum. Users of the tasks don't need to use the enum, but when creating new tasks they should be used.

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@ethanwharris ethanwharris merged commit fb6402b into master May 11, 2021
@ethanwharris ethanwharris deleted the docs/data_sources branch May 11, 2021 13:28
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3 participants