WGAN-GP 关键源码 #https://github.com/yunjey/stargan/blob/master/solver.py def gradient_penalty(self, y, x): """Compute gradient penalty: (L2_norm(dy/dx) - 1)**2.""" weight = torch.ones(y.size()).to(self.device) d
技术标签: WGAN WGAN-GP GAN转载自:https://www.e-learn.cn/content/qita/814071 from datetime import datetime import os import matplotlib.pyplot as plt import numpy as np import tensorflow as tf from six.moves import xrange data = np.load('final37.npy') data = data[:,:,0:60] #显示原始...