Batchnorm parameter

```
local function convBlock(numIn, numOut, order)
local cnet = nn.Sequential()
:add(batchnorm(numIn,1e-5,false))
:add(relu(true))
:add(conv(numIn,numOut/2,3,3,1,1,1,1):noBias())
:add(nn.ConcatTable()
:add(nn.Identity())
:add(nn.Sequential()
:add(nn.Sequential()
:add(batchnorm(numOut/2,1e-5,false))
:add(relu(true))
:add(conv(numOut/2,numOut/4,3,3,1,1,1,1):noBias())
)
```
batchnorm(numIn,1e-5,false)
Dose this statement want to set affine = false？
But in fact, four parameters (nOutput, eps, momentum, affine) are needed.
The batchnorm will have wight and bias.

Look at the batchnorm function definition in the codebase to see its signature and default parameters. The issue suggests the call passes three arguments but the function expects four, possibly incorrectly setting 'affine'. Check how batchnorm is implemented in the project's dependencies (like nn or cunn) to understand the correct parameter order. Verify if weight and bias are being created when they shouldn't be.

索引モデルが issue の本文から書いたものです。