Question

我在Pytorch中有此代码，但无法正常工作。我使用Numpy作为回报（X.T * W）.sum（axis = 1）+ B

但是使用Pytorch，我会不断收到此错误...


def neural_network_neurons(W, B, X):

    W = W.view(W.size(0), -1)
    z1 =  torch.matmul(X, W) + B
    return ReLU(z1)

# --------------------------------------------------
W = torch.tensor([[1.2, 0.3, 0.1], [.01, 2.1, 0.7]])
B = torch.tensor([2.1, 0.89])
X = torch.tensor([0.3, 6.8, 0.59])

neural_network_neurons(W, B, X)

---------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-21-8a5d3a425c16> in <module>
      4 X = torch.tensor([0.3, 6.8, 0.59])
      5 
----> 6 neural_network_neurons(W, B, X)

<ipython-input-20-7450924eb4a5> in neural_network_neurons(W, B, X)
      5     ###
      6     W = W.view(W.size(0), -1)
----> 7     z1 =  torch.matmul(X, W) + B
      8     return ReLU(z1)
      9     #return (X.T * W).sum(axis=1) + B

RuntimeError: size mismatch, m1: [1 x 3], m2: [2 x 3] at
/pytorch/aten/src/TH/generic/THTensorMath.cpp:197

Answer 1

W的方向错误：您定义了2x3矩阵，但是算法需要3x2。尝试使用W.T吗？

尝试学习如何实现单个神经元

1 个答案: