experiments/STT-tensorflow
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[tf.data] Set cardinality to UNKNOWN when using ignore_errors transformation.

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ignore_errors may cause some elements to be dropped, so we no longer know the exact cardinality.

PiperOrigin-RevId: 344875178
Change-Id: I98beadcf8322d5eb23da14192cfeb83e1303e36a
This commit is contained in:
Andrew Audibert 2020-11-30 13:19:31 -08:00 committed by TensorFlower Gardener
parent d201930517
commit cde6ac1b83
2 changed files with 6 additions and 1 deletions
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2
tensorflow/core/kernels/data/experimental/ignore_errors_dataset_op.cc
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@ -64,7 +64,7 @@ class IgnoreErrorsDatasetOp : public UnaryDatasetOpKernel {
return "IgnoreErrorsDatasetOp::Dataset";
}
int64 Cardinality() const override { return input_->Cardinality(); }
int64 Cardinality() const override { return kUnknownCardinality; }
Status InputDatasets(
std::vector<const DatasetBase*>* inputs) const override {

5
tensorflow/python/data/experimental/kernel_tests/ignore_errors_test.py
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@ -161,6 +161,11 @@ class IgnoreErrorsTest(test_base.DatasetTestBase, parameterized.TestCase):
with self.assertRaises(errors.OutOfRangeError):
self.evaluate(get_next())
@combinations.generate(test_base.default_test_combinations())
def testCardinality(self):
ds = dataset_ops.Dataset.range(10).apply(error_ops.ignore_errors())
self.assertEqual(self.evaluate(ds.cardinality()), dataset_ops.UNKNOWN)
if __name__ == "__main__":
test.main()