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@@ -36,6 +36,7 @@ def test_gradient_accumulation(
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model = mocker.MagicMock(name="model")
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model().loss.__truediv__().detach.return_value = torch.tensor(1)
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+ model().loss.detach.return_value = torch.tensor(1)
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mock_tensor = mocker.MagicMock(name="tensor")
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batch = {"input": mock_tensor}
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train_dataloader = [batch, batch, batch, batch, batch]
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@@ -94,6 +95,7 @@ def test_gradient_accumulation(
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def test_save_to_json(temp_output_dir, mocker):
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model = mocker.MagicMock(name="model")
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model().loss.__truediv__().detach.return_value = torch.tensor(1)
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+ model().loss.detach.return_value = torch.tensor(1)
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mock_tensor = mocker.MagicMock(name="tensor")
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batch = {"input": mock_tensor}
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train_dataloader = [batch, batch, batch, batch, batch]
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