2Vh fdZddlZddlZddlmZddlmZddlm Z ddl m Z edd dZ y) z-CIFAR100 small images classification dataset.N)backend) keras_export) load_batch)get_filez!keras.datasets.cifar100.load_datacl|dvrtd|dd}d}t||dd}tjj |d }tjj |d }t ||d z \}}tjj |d }t ||d z \}}t j|t|df}t j|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, and if it is `"coarse"`, the output labels are the coarse-grained superclasses. Returns: Tuple of NumPy arrays: `(x_train, y_train), (x_test, y_test)`. **`x_train`**: `uint8` NumPy array of grayscale 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 grayscale 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-python-targetz8https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gzT@85cd44d02ba6437773c5bbd22e183051d648de2e7d6b014e1ef29b855ba677a7)fnameoriginextract file_hashzcifar-100-pythontrain_labels) label_keytest channels_lastr) ValueErrorrospathjoinrnpreshapelenrimage_data_format transpose) label_modedirnamer rfpathx_trainy_trainx_testy_tests K/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/datasets/cifar100.py load_datar) s<T++ $$.r2s63 -//12H03H0r*