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[BigBirdFlaxTests] Make tests slow (#17658)

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* [BigBirdFlaxTests] Make tests slow

* up

* correct black with new version
This commit is contained in:
Patrick von Platen
2022-06-10 16:54:14 +02:00
committed by GitHub
parent 3114df41f4
commit 5e428b71b4
1 changed files with 27 additions and 7 deletions
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34
tests/models/big_bird/test_modeling_flax_big_bird.py
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@@ -40,17 +40,17 @@ class FlaxBigBirdModelTester(unittest.TestCase):
def __init__(
self,
parent,
batch_size=13,
batch_size=2,
seq_length=56,
is_training=True,
use_attention_mask=True,
use_token_type_ids=True,
use_labels=True,
vocab_size=99,
hidden_size=32,
num_hidden_layers=5,
num_attention_heads=4,
intermediate_size=37,
hidden_size=4,
num_hidden_layers=2,
num_attention_heads=2,
intermediate_size=7,
hidden_act="gelu_new",
hidden_dropout_prob=0.1,
attention_probs_dropout_prob=0.1,
@@ -62,7 +62,7 @@ class FlaxBigBirdModelTester(unittest.TestCase):
attention_type="block_sparse",
use_bias=True,
rescale_embeddings=False,
block_size=4,
block_size=2,
num_random_blocks=3,
):
self.parent = parent
@@ -156,10 +156,30 @@ class FlaxBigBirdModelTest(FlaxModelTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = FlaxBigBirdModelTester(self)
@slow
# copied from `test_modeling_flax_common` because it takes much longer than other models
def test_from_pretrained_save_pretrained(self):
super().test_from_pretrained_save_pretrained()
@slow
# copied from `test_modeling_flax_common` because it takes much longer than other models
def test_from_pretrained_with_no_automatic_init(self):
super().test_from_pretrained_with_no_automatic_init()
@slow
# copied from `test_modeling_flax_common` because it takes much longer than other models
def test_no_automatic_init(self):
super().test_no_automatic_init()
@slow
# copied from `test_modeling_flax_common` because it takes much longer than other models
def test_hidden_states_output(self):
super().test_hidden_states_output()
@slow
def test_model_from_pretrained(self):
for model_class_name in self.all_model_classes:
model = model_class_name.from_pretrained("google/bigbird-roberta-base", from_pt=True)
model = model_class_name.from_pretrained("google/bigbird-roberta-base")
outputs = model(np.ones((1, 1)))
self.assertIsNotNone(outputs)