from multiprocessing import Pooldef test(p): print p time.sleep(3)if __name__=="__main__": pool = Pool(processes=10) for i in xrange(500): ''' 实际测试发现,for循环内部执行步骤: (1)遍历500个可迭代对象,往进程池放一个子进程 (2)执行这个子进程,等子进程执行完毕,再往进程池放一个子...
import os import time from multiprocessing import Process # 进程模块 def func(): time.sleep(2) print('in func',os.getpid(),os.getppid()) #getpid 子进程的pid getppid 父进程的pid if __name__ == '__main__': print('in main',os.getpid(),os.getppid()) p1 = Process(target=func) ...
array([0. , 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. ]) resizechanges the shape and size of arrayin-place. o.resize(3, 3) o Output: array([[0. , 0.5, 1. ], [1.5, 2. , 2.5], [3. , 3.5, 4. ]]) onesreturns a new array of given shape and type, filled with ...
data=load_exdata('ex1data2.txt');data=np.array(data,np.int64)x=data[:,(0,1)].reshape((-1,2))y=data[:,2].reshape((-1,1))m=y.shape[0]# Print out some data pointsprint('First 10 examples from the dataset: \n')print(' x = ',x[range(10),:],'\ny=',y[range(10),:...
(x_N)}\\ \end{array}\right] \sim \mathcal{N}\left( \left[\begin{array}{c} \boldsymbol{0} \\ \vdots\\ \boldsymbol{0} \end{array}\right], \boldsymbol{B}\otimes\boldsymbol{K} \right), \boldsymbol{B}\in\mathbb{R}^{D\times D}, \boldsymbol{K}\in\mathbb{R}^{N\...
data=np.array(data,np.int64) x=data[:,(0,1)].reshape((-1,2)) y=data[:,2].reshape((-1,1)) m=y.shape[0] # Print out some data points print('First 10 examples from the dataset: \n') print(' x = ',x[range(10),:],'\ny=',y[range(10),:]) ...
normal(size=nrws, loc=mean2) bimdvec = [] for i in range(size): bimdvec.append(randst.choice([bimodal_1[i], bimodal_2[i]])) return np.array(bimdvec) # Make 2 Bimodal Variables close_bimodal_vec = make_bimodal(2,-2,nrws) far_bimodal_vec = make_bimodal(3,-3,nrws) # ...
a=np.array([ [0,0,1,2],# Format X, Y, Width, Height[0,0,0.8,1.5], ])b=np.array([ [0,0,1,2], [0,0,1,1], [0.1,0.2,2,2], ])mm.distances.iou_matrix(a,b,max_iou=0.5)"""[[ 0. 0.5 nan][ 0.4 0.42857143 nan]]""" ...
(str,labelMat2) 36 37 dataMat1=np.array(dataMat1) 38 labelMat1=np.array(labelMat1) 39 dataMat2=np.array(dataMat2) 40 labelMat2=np.array(labelMat2) 41 42 X_train, Y_train = dataMat1, labelMat1 43 X_test, Y_test =dataMat2, labelMat2 44 45 46 model = Sequential() 47 ...
6. 非RAM存储：硬盘等永久存储空间 这里我们主要关心栈，堆和常量池，对于栈和常量池中的对象可以...