Function Differences with tf.keras.datasets.cifar100
tf.keras.datasets.cifar100
class tf.keras.datasets.cifar100()
For more information, see tf.keras.datasets.cifar100.
mindspore.dataset.Cifar100Dataset
class mindspore.dataset.Cifar100Dataset(
dataset_dir,
usage=None,
num_samples=None,
num_parallel_workers=None,
shuffle=None,
sampler=None,
num_shards=None,
shard_id=None,
cache=None
)
For more information, see mindspore.dataset.Cifar100Dataset.
Differences
TensorFlow: The Cifar100 dataset can be downloaded and loaded using the load_data
method within this class.
MindSpore: Load the Cifar100 dataset file from the specified path and return the Dataset.
Code Example
# The following implements Cifar100Dataset with MindSpore.
import mindspore.dataset as ds
cifar100_dataset_dir = "/path/to/cifar100_dataset_directory"
dataset = ds.Cifar100Dataset(dataset_dir=cifar100_dataset_dir)
# The following implements cifar100 with TensorFlow.
import tensorflow as tf
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.cifar100.load_data()