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nngraph
和nn
都nn
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'