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https://github.com/huggingface/transformers.git
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e695470794
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637e81752a
@ -437,6 +437,9 @@ class SwinBlock(nn.Module):
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hidden_states_windows = window_partition(shifted_hidden_states, self.window_size)
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hidden_states_windows = hidden_states_windows.view(-1, self.window_size * self.window_size, channels)
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if self.attn_mask is not None:
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self.attn_mask = self.attn_mask.to(hidden_states_windows.device)
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self_attention_outputs = self.attention(
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hidden_states_windows,
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self.attn_mask,
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@ -595,8 +595,8 @@ class ViltModelIntegrationTest(unittest.TestCase):
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# forward pass
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outputs = model(
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input_ids=encoding_1.input_ids,
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pixel_values=pixel_values,
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input_ids=encoding_1.input_ids.to(torch_device),
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pixel_values=pixel_values.to(torch_device),
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)
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# verify the logits
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@ -327,9 +327,6 @@ class ViTMAEModelTest(ModelTesterMixin, unittest.TestCase):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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for model_class in self.all_model_classes:
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print("Model class:", model_class)
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model = model_class(config)
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model.to(torch_device)
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model.eval()
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