[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:def flatten(x_tensor):\n"""\nFlatten x_tensor to (Batch Size, Flattened Image Size)\n: x_tensor: A tensor of size (Batch Size, ...), where ... are the image dimensions.\n: return: A tensor of size (Batch Size, Flattened Image Size).\n"""\nbatch_size, *img_shape = x_tensor.shape.as_list()\nflatten_size = img_shape[0]*img_shape[1]*img_shape[2]\nflatten = tf.reshape(x_tensor, [-1, flatten_size])\nreturn flatten\n"""\nDON\'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n"""\ntests.test_flatten(flatten)'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]