damccorm commented on code in PR #23087:
URL: https://github.com/apache/beam/pull/23087#discussion_r966325894
##########
sdks/python/apache_beam/ml/inference/pytorch_inference_test.py:
##########
@@ -63,6 +63,17 @@
for f1, f2 in TWO_FEATURES_EXAMPLES]).reshape(-1, 1))
]
+TWO_FEATURES_DICT_OUT_PREDICTIONS = [
+ PredictionResult(ex, pred) for ex,
+ pred in zip(
+ TWO_FEATURES_EXAMPLES,
+ [{
+ "output1": torch.Tensor([f1 * 2.0 + f2 * 3 + 0.5]),
+ "output2": torch.Tensor([f1 * 2.0 + f2 * 3 + 0.5])
+ } for f1,
+ f2 in TWO_FEATURES_EXAMPLES])
+]
Review Comment:
That's probably fine - I was aiming for greater completeness/simplicty
modularity/DRY (see subheader [Make Your Tests Complete and
Concise](https://abseil.io/resources/swe-book/html/ch12.html) for a more
fleshed out philosophy), but I agree this ends up being better. Done
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