Add more details of the input format.

README.md

@@ -16,17 +16,34 @@ This is the implementation of [this paper](https://eprint.iacr.org/2021/673), wh
 
 ## Input Format
 
-The input has two part which are data and weight in the matrix.
+To run the program, the command is
+```bash
+# run_file is the name of executable file.
+# in_file is the file containing the data and weight matrix, please refer to the details below.
+# config_file is the file containing config (scale and zero-point) of the model. In this implementation,
+#   we don't use this file because we compute the scale and zero-point directly from the data in each
+#   layer, so it's okay to put an empty file here.
+# ou_file is the prediction result of this picture.
+# exp_result is the experiment results filled in the table. For the definition of the table header,
+#   please refer to the file `src/global_var.hpp`.
+# pic_cnt is the number of pictures to be predicted. For details please refer to the following section.
+
+${run_file} ${in_file} ${config_file} ${ou_file} ${pic_cnt} > ${exp_result}
+```
+
+### The format of `in_file`
 
-### Data Part
+In the current code, we only allow one picture and one matrix to be put in this file. If `pic_cnt` > 1, then the code will internally duplicate the data for corresponding times. Thus to test different pictures, you might need to adjust the code of loading the input.
 
-This part is the picture data, a vector reshaped from its original matrix by
+#### Data Part
+
+This part is for a picture data, a vector reshaped from its original matrix by
 
 ![formula1](https://render.githubusercontent.com/render/math?math=ch_{in}%20%5Ccdot%20h\times%20w)
 
 where ![formula2](https://render.githubusercontent.com/render/math?math=ch_{in}) is the number of channel, ![formula3](https://render.githubusercontent.com/render/math?math=h) is the height, ![formula4](https://render.githubusercontent.com/render/math?math=w) is the width.
 
-### Weight Part
+#### Weight Part
 
 This part is the set of parameters in the neural network, which contains
 
@@ -40,6 +57,9 @@ This part is the set of parameters in the neural network, which contains
 
 - fully-connected bias of size ![formula15](https://render.githubusercontent.com/render/math?math=ch_{out}).
 
+### The format of `config_file`
+Typically this is a file to record scale and zero-point for the data in each layer. However, in our current implementation, those are computed directly from the those data. Therefore, you can just leave it blank.
+
 ## Experiment Script
 ### Clone the repo
 To run the code, make sure you clone with
@@ -81,4 +101,4 @@ Here we implement a [hyrax polynomial commitment](https://eprint.iacr.org/2017/1
 
 - [Hyrax](https://github.com/hyraxZK/hyraxZK.git)
 
-- [mcl](https://github.com/herumi/mcl)
+- [mcl](https://github.com/herumi/mcl)