hhfdZddlZddlZddlmZddlmZddlm Z ddl m Z e dd dZ y) z-CIFAR100 small images classification dataset.N)backend) load_batch)get_file) keras_exportz!keras.datasets.cifar100.load_datac|dvrtd|dd}d}|r6tjj|}tj|dt ||dd| }tjj |d }t||d z \}}tjj |d }t||d z \}} tj|t|df}tj| t| df} tjdk(r(|jdddd}|jdddd}||f|| ffS)aLoads the CIFAR100 dataset. This is a dataset of 50,000 32x32 color training images and 10,000 test images, labeled over 100 fine-grained classes that are grouped into 20 coarse-grained classes. See more info at the [CIFAR homepage](https://www.cs.toronto.edu/~kriz/cifar.html). Args: label_mode: one of "fine", "coarse". If it is "fine" the category labels are the fine-grained labels, if it is "coarse" the output labels are the coarse-grained superclasses. cache_dir: directory where to cache the dataset locally. When None, defaults to `~/.keras/datasets`. Returns: Tuple of NumPy arrays: `(x_train, y_train), (x_test, y_test)`. **x_train**: uint8 NumPy array of image data with shapes `(50000, 32, 32, 3)`, containing the training data. Pixel values range from 0 to 255. **y_train**: uint8 NumPy array of labels (integers in range 0-99) with shape `(50000, 1)` for the training data. **x_test**: uint8 NumPy array of image data with shapes `(10000, 32, 32, 3)`, containing the test data. Pixel values range from 0 to 255. **y_test**: uint8 NumPy array of labels (integers in range 0-99) with shape `(10000, 1)` for the test data. Example: ```python (x_train, y_train), (x_test, y_test) = keras.datasets.cifar100.load_data() assert x_train.shape == (50000, 32, 32, 3) assert x_test.shape == (10000, 32, 32, 3) assert y_train.shape == (50000, 1) assert y_test.shape == (10000, 1) ``` )finecoarsezG`label_mode` must be one of `"fine"`, `"coarse"`. Received: label_mode=.zcifar-100-pythonz8https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gzT)exist_ok@85cd44d02ba6437773c5bbd22e183051d648de2e7d6b014e1ef29b855ba677a7)originuntar file_hash cache_dirtrain_labels) label_keytest channels_lastr) ValueErrorospath expandusermakedirsrjoinrnpreshapelenrimage_data_format transpose) label_moderdirnamer rfpathx_trainy_trainx_testy_tests \/var/www/html/dev/engine/venv/lib/python3.12/site-packages/tf_keras/src/datasets/cifar100.py load_datar,sOV++ $$.r5s:4  22:12L03L0r-