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Update TF BERT test

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LysandreJik
2020-11-23 18:19:12 -05:00
parent 8ffc01a76a
commit e1b7e10d5f
1 changed files with 4 additions and 4 deletions
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8
tests/test_modeling_tf_bert.py
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@@ -348,7 +348,7 @@ class TFBertModelIntegrationTest(unittest.TestCase):
input_ids = tf.constant([[0, 1, 2, 3, 4, 5]]) input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
output = model(input_ids)[0] output = model(input_ids)[0]
expected_shape = [1, 6, 10] expected_shape = [1, 6, 32000]
self.assertEqual(output.shape, expected_shape) self.assertEqual(output.shape, expected_shape)
print(output[:, :3, :3]) print(output[:, :3, :3])
@@ -356,9 +356,9 @@ class TFBertModelIntegrationTest(unittest.TestCase):
expected_slice = tf.constant( expected_slice = tf.constant(
[ [
[ [
[0.03706957, 0.10124919, 0.03616843], [-0.05243197, -0.04498899, 0.05512108],
[-0.06099961, 0.02266058, 0.00601412], [-0.07444685, -0.01064632, 0.04352357],
[-0.06066202, 0.05684517, 0.02038802], [-0.05020351, 0.05530146, 0.00700043]
] ]
] ]
) )