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