* Pipeline tests should be slow

* Temporarily mark some tests as slow

* Temporarily mark Barthez tests as slow
This commit is contained in:
Lysandre Debut 2021-03-08 21:44:07 -05:00 коммит произвёл GitHub
Родитель 696e8a4365
Коммит 546cbe7e9e
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Идентификатор ключа GPG: 4AEE18F83AFDEB23
2 изменённых файлов: 8 добавлений и 1 удалений

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@ -129,6 +129,7 @@ class TFModelTesterMixin:
self.assert_outputs_same(after_outputs, outputs)
@slow
def test_graph_mode(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
for model_class in self.all_model_classes:
@ -142,6 +143,7 @@ class TFModelTesterMixin:
outputs = run_in_graph_mode()
self.assertIsNotNone(outputs)
@slow
def test_xla_mode(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
for model_class in self.all_model_classes:
@ -182,6 +184,7 @@ class TFModelTesterMixin:
expected_arg_names = ["input_ids"]
self.assertListEqual(arg_names[:1], expected_arg_names)
@slow
def test_saved_model_creation(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
config.output_hidden_states = False
@ -311,6 +314,7 @@ class TFModelTesterMixin:
onnxruntime.InferenceSession(onnx_model.SerializeToString())
@slow
def test_mixed_precision(self):
tf.keras.mixed_precision.experimental.set_policy("mixed_float16")
@ -484,6 +488,7 @@ class TFModelTesterMixin:
max_diff = np.amax(np.abs(tfo - pto))
self.assertLessEqual(max_diff, 4e-2)
@slow
def test_train_pipeline_custom_model(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
# head_mask and decoder_head_mask has different shapes than other input args
@ -904,6 +909,7 @@ class TFModelTesterMixin:
model(inputs)
@slow
def test_graph_mode_with_inputs_embeds(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()

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@ -17,13 +17,14 @@
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from .test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
@require_sentencepiece
@slow
class BarthezTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = BarthezTokenizer