importnumpyasnp# 广播规则1a=np.array([1,2,3])b=5c=a+bprint(c)# 输出: [6, 7, 8]# 广播规则2d=np.array([[1,2],[3,4]])e=np.array([10,20])f=d+eprint(f)# 输出: [[11, 22], [13, 24]]# 广播规则3g=np.array([4,5,6])h=np.array([10,20])i=g+
现有的分布式调参功能,基本不可用。参看我提的这个Issue: To Avoid collecting trainning data to driver and broadcasting them 不支持分布式tranning. 参看我提的这个Issue: Is there any plan to port TensorframeOnSpark(From yahoo) ? 当然SDL的想法非常好: 相比K8s + TF只是完成...