Expose get_config() on ModelTesters (#12812)
* Expose get_config() on ModelTesters * Typo
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@@ -18,6 +18,7 @@
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import inspect
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import unittest
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from transformers import ViTConfig
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from transformers.file_utils import cached_property, is_torch_available, is_vision_available
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from transformers.testing_utils import require_torch, require_vision, slow, torch_device
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@@ -29,7 +30,7 @@ if is_torch_available():
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import torch
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from torch import nn
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from transformers import ViTConfig, ViTForImageClassification, ViTModel
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from transformers import ViTForImageClassification, ViTModel
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from transformers.models.vit.modeling_vit import VIT_PRETRAINED_MODEL_ARCHIVE_LIST, to_2tuple
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@@ -86,7 +87,12 @@ class ViTModelTester:
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if self.use_labels:
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labels = ids_tensor([self.batch_size], self.type_sequence_label_size)
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config = ViTConfig(
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config = self.get_config()
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return config, pixel_values, labels
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def get_config(self):
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return ViTConfig(
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image_size=self.image_size,
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patch_size=self.patch_size,
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num_channels=self.num_channels,
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@@ -101,8 +107,6 @@ class ViTModelTester:
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initializer_range=self.initializer_range,
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)
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return config, pixel_values, labels
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def create_and_check_model(self, config, pixel_values, labels):
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model = ViTModel(config=config)
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model.to(torch_device)
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