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嗨,我是 torch/lua 的新手,我正在做牛津机器学习课程的实践5:

我要实现的是一个简单的层:m = x1 + x2 cmul linear(x3) 其中 cmul 是元素相乘,而 linear 只是一个线性层。

我的代码如下所示:

-- params for the linear layer
params = {
    x3_size1 = 10,
    x3_size2 = 30
}
-- dummy nodes to take input data as nodes in graph
x1 = nn.Identity()()
x2 = nn.Identity()()
x3 = nn.Identity()()

-- modeling output = x1 + x2 cmul linear(x3)
l3 = nn.Linear(params.x3_size1, params.x3_size2)(x1)
m23 = nn.CMulTable()({x2,l3})
add = nn.CAddTable()({x1, m23})

-- specify the inputs and outputs of the graph
m = nn.gModule({x1,x2,x3}, {add})

graph.dot(mlp.fg, "mlp")

但是,我收到错误消息:

  /Users/yiranzhang/torch/install/bin/luajit: /Users/yiranzhang/torch/install/share/lua/5.1/nn/Linear.lua:36: attempt to index local 'input' (a nil value)
stack traceback:
    /Users/yiranzhang/torch/install/share/lua/5.1/nn/Linear.lua:36: in function 'forward'
    /Users/yiranzhang/torch/install/share/lua/5.1/nn/Module.lua:232: in function </Users/yiranzhang/torch/install/share/lua/5.1/nn/Module.lua:231>
    [C]: at 0x0156d0d0
    practical5.lua:32: in main chunk
    [C]: in function 'dofile'
    ...hang/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:131: in main chunk
    [C]: at 0x01013242e0

如果我只想要 aa = nn.Linear(10,20)()

我得到了和上面一样的错误。

即使我按照火炬 github 上的示例进行操作:

我得到了同样的错误。

更新并解决:

我想念导入包。虽然nngraphnnnn在代码中被称为,但它们实际上是不同的包。

应该做

require 'nngraph'

而我只做了

require 'nn'
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1 回答 1

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此行中的最后一个参数应该是 x3 而不是 x1:

l3 = nn.Linear(params.x3_size1, params.x3_size2)(x3)
于 2016-09-04T06:36:28.430 回答