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Fix PyDatasetAdapterTest::test_class_weight test with Torch on GPU. #20665

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Dec 19, 2024
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Fix PyDatasetAdapterTest::test_class_weight test with Torch on GPU. #20665

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5 changes: 2 additions & 3 deletions keras/src/trainers/data_adapters/py_dataset_adapter_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -240,12 +240,11 @@ def test_class_weight(self):
for index, batch in enumerate(gen):
# Batch is a tuple of (x, y, class_weight)
self.assertLen(batch, 3)
batch = [backend.convert_to_numpy(x) for x in batch]
# Let's verify the data and class weights match for each element
# of the batch (2 elements in each batch)
for sub_elem in range(2):
self.assertTrue(
np.array_equal(batch[0][sub_elem], x[index * 2 + sub_elem])
)
self.assertAllEqual(batch[0][sub_elem], x[index * 2 + sub_elem])
self.assertEqual(batch[1][sub_elem], y[index * 2 + sub_elem])
class_key = np.int32(batch[1][sub_elem])
self.assertEqual(batch[2][sub_elem], class_w[class_key])
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