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Aurevoir PyTorch 1 (#35358)

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* fix

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2024-12-20 14:36:31 +01:00
committed by GitHub
parent 4567ee8057
commit 05de764e9c
53 changed files with 37 additions and 228 deletions
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9
tests/models/tapas/test_modeling_tapas.py
View File

@@ -60,9 +60,6 @@ if is_torch_available():
reduce_mean,
reduce_sum,
)
from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_12
else:
is_torch_greater_or_equal_than_1_12 = False
class TapasModelTester:
@@ -411,7 +408,6 @@ class TapasModelTester:
return config, inputs_dict
@unittest.skipIf(not is_torch_greater_or_equal_than_1_12, reason="Tapas is only available in torch v1.12+")
@require_torch
class TapasModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
all_model_classes = (
@@ -578,7 +574,6 @@ def prepare_tapas_batch_inputs_for_training():
return table, queries, answer_coordinates, answer_text, float_answer
@unittest.skipIf(not is_torch_greater_or_equal_than_1_12, reason="Tapas is only available in torch v1.12+")
@require_torch
class TapasModelIntegrationTest(unittest.TestCase):
@cached_property
@@ -930,10 +925,6 @@ class TapasModelIntegrationTest(unittest.TestCase):
self.assertTrue(torch.allclose(outputs.logits, expected_tensor, atol=0.05))
# Below: tests for Tapas utilities which are defined in modeling_tapas.py.
# These are based on segmented_tensor_test.py of the original implementation.
# URL: https://github.com/google-research/tapas/blob/master/tapas/models/segmented_tensor_test.py
@unittest.skipIf(not is_torch_greater_or_equal_than_1_12, reason="Tapas is only available in torch v1.12+")
@require_torch
class TapasUtilitiesTest(unittest.TestCase):
def _prepare_tables(self):

9
tests/models/tapas/test_tokenization_tapas.py
View File

@@ -23,7 +23,7 @@ import numpy as np
import pandas as pd
from parameterized import parameterized
from transformers import AddedToken, is_torch_available
from transformers import AddedToken
from transformers.models.tapas.tokenization_tapas import (
VOCAB_FILES_NAMES,
BasicTokenizer,
@@ -45,12 +45,6 @@ from transformers.testing_utils import (
from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english, merge_model_tokenizer_mappings
if is_torch_available():
from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_12
else:
is_torch_greater_or_equal_than_1_12 = False
@require_tokenizers
@require_pandas
class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
@@ -1048,7 +1042,6 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
# Do the same test as modeling common.
self.assertIn(0, output["token_type_ids"][0])
@unittest.skipIf(not is_torch_greater_or_equal_than_1_12, reason="Tapas is only available in torch v1.12+")
@require_torch
@slow
def test_torch_encode_plus_sent_to_model(self):