Update TF BERT test

This commit is contained in:
LysandreJik 2020-11-23 18:19:12 -05:00
parent 8ffc01a76a
commit e1b7e10d5f

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@ -348,7 +348,7 @@ class TFBertModelIntegrationTest(unittest.TestCase):
input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
output = model(input_ids)[0]
expected_shape = [1, 6, 10]
expected_shape = [1, 6, 32000]
self.assertEqual(output.shape, expected_shape)
print(output[:, :3, :3])
@ -356,9 +356,9 @@ class TFBertModelIntegrationTest(unittest.TestCase):
expected_slice = tf.constant(
[
[
[0.03706957, 0.10124919, 0.03616843],
[-0.06099961, 0.02266058, 0.00601412],
[-0.06066202, 0.05684517, 0.02038802],
[-0.05243197, -0.04498899, 0.05512108],
[-0.07444685, -0.01064632, 0.04352357],
[-0.05020351, 0.05530146, 0.00700043]
]
]
)