[Filter] Refactor filter to be more robust

[Filter] Refactor filter to be more robust

**Changes Proposed in this PR aim for**
1. nntrainer filter no longer requires dimensions specified
1. nntrainer filter now adapts to the incoming batchsize(required exposing
neuralnet::setBatchSize)
1. nntrainer filter now do not copy incoming input to inference from the
filter side
1. nntrainer filter adapts to the multiple input, multiple output

**Major Changes**
`getInputDim`, `getOutTensorDim` is replaced to `setInputDim`
nntrainer->run now recognizes more than 1 input, 1 output

**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Jihoon Lee <jhoon.it.lee@samsung.com>