代码有错吗 input1 = Input(shape=(trainX1.shape[1], trainX1.shape[2])) conv1 = Conv1D(filters=48, kernel_size=6, strides

There doesn't seem to be any syntax errors in the code you provided. However, it's difficult to say whether or not the code will work as intended without knowing more about the data and the problem being solved. One potential issue is that the weights of `conv1` are being set to the weights of `conv2` using `conv2.set_weights(conv1.get_weights())`. This means that both convolutional layers will have the same weights, which may not be desirable if the two inputs have different characteristics. It might be better to define separate convolutional layers for each input.