【CPU占用】深度学习

1、tensorflow中的tf Data API的使用

简单示例

import tensorflow as tf
import numpy as np

# Generate some sample data
num_samples = 1000
num_features = 64
num_classes = 10

x_train = np.random.rand(num_samples, num_features)
y_train = np.random.randint(0, num_classes, size=num_samples)
x_val = np.random.rand(num_samples // 5, num_features)
y_val = np.random.randint(0, num_classes, size=num_samples // 5)
x_test = np.random.rand