Expose get_config() on ModelTesters (#12812)
* Expose get_config() on ModelTesters * Typo
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@@ -16,7 +16,7 @@
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import unittest
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from transformers import is_torch_available
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from transformers import LongformerConfig, is_torch_available
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from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
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from .test_configuration_common import ConfigTester
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@@ -27,7 +27,6 @@ if is_torch_available():
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import torch
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from transformers import (
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LongformerConfig,
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LongformerForMaskedLM,
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LongformerForMultipleChoice,
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LongformerForQuestionAnswering,
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@@ -100,7 +99,12 @@ class LongformerModelTester:
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token_labels = ids_tensor([self.batch_size, self.seq_length], self.num_labels)
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choice_labels = ids_tensor([self.batch_size], self.num_choices)
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config = LongformerConfig(
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config = self.get_config()
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return config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
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def get_config(self):
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return LongformerConfig(
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vocab_size=self.vocab_size,
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hidden_size=self.hidden_size,
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num_hidden_layers=self.num_hidden_layers,
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@@ -115,8 +119,6 @@ class LongformerModelTester:
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attention_window=self.attention_window,
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)
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return config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
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def create_and_check_attention_mask_determinism(
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self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels
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):
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