Add rgat accuracy format

graph/R-GAT/README.md

@@ -8,7 +8,7 @@ This is the reference implementation for MLPerf Inference Graph Neural Network.
 
 | model | accuracy | dataset | model source | precision | notes |
 | ---- | ---- | ---- | ---- | ---- | ---- |
-| RGAT | - | IGBH | [Illiois Graph Benchmark](https://github.com/IllinoisGraphBenchmark/IGB-Datasets/) | fp32 | - |
+| RGAT | 0.7286 | IGBH | [Illiois Graph Benchmark](https://github.com/IllinoisGraphBenchmark/IGB-Datasets/) | fp32 | - |
 
 ## Dataset
 
@@ -148,16 +148,19 @@ cd $GRAPH_FOLDER
 # Run the benchmark DGL
 python3 main.py --dataset igbh-dgl --dataset-path igbh/ --profile rgat-dgl-full [--model-path <path_to_ckpt>] [--in-memory] [--device <cpu or gpu>] [--dtype <fp16 or fp32>] [--scenario <SingleStream, MultiStream, Server or Offline>]
 ```
-#### Run using docker
-
-Not implemented yet
 
 #### Accuracy run
 Add the `--accuracy` to the command to run the benchmark
 ```bash
 python3 main.py --dataset igbh --dataset-path igbh/ --accuracy --model-path model/ [--model-path <path_to_ckpt>] [--in-memory] [--device <cpu or gpu>] [--dtype <fp16 or fp32>] [--scenario <SingleStream, MultiStream, Server or Offline>] [--layout <COO, CSC or CSR>]
 ```
 
+**NOTE:** For official submissions you should submit the results of the accuracy run in a file called `accuracy.txt` with the following format:
+```
+accuracy=<accuracy>%, good=<number_of_good_samples>, total=<number_of_total_samples>
+hash=<hash>
+```
+
 ### Docker run
 **CPU:**
 Build docker image