1 def init_test(): 2 a = np.array( 3 [[[0,1,1,0,2], 4 [2,2,2,2,1], 5 [1,0,0,2,0], 6 [0,1,1,0,0], 7 [1,2,0,0,2]], 8 [[1,0,2,2,0], 9 [0,0,0,2,0], 10 [1,2,1,2,1], 11 [1,0,0,0,0], 12 [1,2,1,1,1]], 13 [[2,1,2,0,0], 14 [1,0,0,1,0], 15 [0,2,1,0,1], 16 [0,1,2,2,2], 17 [2,1,0,0,1]]]) 18 b = np.array( 19 [[[0,1,1], 20 [2,2,2], 21 [1,0,0]], 22 [[1,0,2], 23 [0,0,0], 24 [1,2,1]]]) 25 cl = ConvLayer(5,5,3,3,3,2,1,2,IdentityActivator(),0.001) 26 cl.filters[0].weights = np.array( 27 [[[-1,1,0], 28 [0,1,0], 29 [0,1,1]], 30 [[-1,-1,0], 31 [0,0,0], 32 [0,-1,0]], 33 [[0,0,-1], 34 [0,1,0], 35 [1,-1,-1]]], dtype=np.float64) 36 cl.filters[0].bias=1 37 cl.filters[1].weights = np.array( 38 [[[1,1,-1], 39 [-1,-1,1], 40 [0,-1,1]], 41 [[0,1,0], 42 [-1,0,-1], 43 [-1,1,0]], 44 [[-1,0,0], 45 [-1,0,1], 46 [-1,0,0]]], dtype=np.float64) 47 return a, b, cl

　　运行一下：