tvalentyn commented on code in PR #22795:
URL: https://github.com/apache/beam/pull/22795#discussion_r952944246
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sdks/python/apache_beam/examples/snippets/transforms/elementwise/runinference_test.py:
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@@ -44,10 +44,10 @@
def check_torch_keyed_model_handler():
expected = '''[START torch_keyed_model_handler]
-('first_question', PredictionResult(example=tensor([105.]),
inference=tensor([523.6982], grad_fn=<UnbindBackward>)))
-('second_question', PredictionResult(example=tensor([108.]),
inference=tensor([538.5867], grad_fn=<UnbindBackward>)))
-('third_question', PredictionResult(example=tensor([1000.]),
inference=tensor([4965.4019], grad_fn=<UnbindBackward>)))
-('fourth_question', PredictionResult(example=tensor([1013.]),
inference=tensor([5029.9180], grad_fn=<UnbindBackward>)))
+('first_question', PredictionResult(example=tensor([105.]),
inference=tensor([523.6982])))
Review Comment:
do we want to round up these answers or introduce some other margin of error?
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