yeandy commented on code in PR #17527:
URL: https://github.com/apache/beam/pull/17527#discussion_r876268059
##########
sdks/python/apache_beam/ml/inference/base_test.py:
##########
@@ -72,6 +72,21 @@ def process(self, prediction_result):
yield prediction_result.inference
+class FakeInferenceRunnerNeedsBigBatch(FakeInferenceRunner):
+ def run_inference(self, batch, unused_model):
+ if len(batch) < 100:
+ raise ValueError('Unexpectedly small batch')
+ return batch
+
+
+class FakeLoaderWithBatchArgForwarding(FakeModelLoader):
+ def get_inference_runner(self):
+ return FakeInferenceRunnerNeedsBigBatch()
+
+ def batch_elements_kwargs(self):
+ return {'min_batch_size': 9999}
Review Comment:
If the goal is to be able to set a max batch size of 1, I think it might
also be useful to explicitly test the case in which `batch_elements_kwargs`
returns `{max_batch_size=1}`.
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