def METHOD_NAME(self):
    field = "test_feat"
    input_tensor = torch.tensor([-0.5, 0.0, 2.0], dtype=torch.float32)
    expected_tensor = torch.tensor([np.log(0.5), 0.0, np.log(3.0)], dtype=torch.float32)
    processor = LogCompression(field)
    training_example = {field: input_tensor}
    processor.process(training_example)
    output_tensor = training_example[field]
    torch.testing.assert_close(output_tensor, expected_tensor)