.riahub/workflows/workflow.yaml

@@ -1,4 +1,4 @@
-name: RIA Hub Workflow Demo
+name: Modulation Recognition Demo
 
 on:
   push:
@@ -11,9 +11,6 @@ on:
 jobs:
   ria-demo:
     runs-on: ubuntu-latest-2080
-    env:
-      RIAGIT_USERNAME: ${{ secrets.USERNAME }}
-      RIAGIT_TOKEN: ${{ secrets.TOKEN }}
     steps:
       - name: Print GPU information
         run: |
@@ -24,7 +21,7 @@ jobs:
             echo "⚠️ No NVIDIA GPU found"
           fi
 
-      - name: Checkout code
+      - name: Checkout project code
         uses: actions/checkout@v4
         with:
           lfs: true
@@ -42,13 +39,10 @@ jobs:
             utils \
             -r requirements.txt
 
-        
-
       - name: 1. Generate Recordings
         run: |
          mkdir -p data/recordings
-         PYTHONPATH=. python scripts/dataset_building/data_gen.py --output-dir data/recordings
+         PYTHONPATH=. python scripts/dataset_manager/data_gen.py --output-dir data/recordings
-         echo "recordings produced successfully"
 
       - name: ⬆️ Upload recordings
         uses: actions/upload-artifact@v3
@@ -59,11 +53,10 @@ jobs:
       - name: 2. Build HDF5 Dataset
         run: |
          mkdir -p data/dataset
-         PYTHONPATH=. python scripts/dataset_building/produce_dataset.py
+         PYTHONPATH=. python scripts/dataset_manager/produce_dataset.py
-         echo "datasets produced successfully"
         shell: bash
 
-      - name: 📤 Upload Dataset
+      - name: ⬆️ Upload Dataset
         uses: actions/upload-artifact@v3
         with:
           name: dataset
@@ -75,34 +68,30 @@ jobs:
             PYTORCH_NO_NNPACK: 1
         run: |
           mkdir -p checkpoint_files
-          PYTHONPATH=. python scripts/training/train.py 2>/dev/null
+          PYTHONPATH=. python scripts/model_builder/train.py 2>/dev/null
-          echo "training model"
     
       - name: 4. Plot Model
         env:
             NO_NNPACK: 1
             PYTORCH_NO_NNPACK: 1
         run: |
-          PYTHONPATH=. python scripts/training/plot_data.py 2>/dev/null
+          PYTHONPATH=. python scripts/model_builder/plot_data.py 2>/dev/null
-      
 
-      - name: Upload Checkpoints
+      - name: ⬆️ Upload Checkpoints
         uses: actions/upload-artifact@v3
         with:
           name: checkpoints
           path: checkpoint_files/*
 
-
+      - name: 5. Export model to ONNX graph
-      - name: 5. Convert to ONNX file
         env:
           NO_NNPACK: 1
           PYTORCH_NO_NNPACK: 1
         run: |
           mkdir -p onnx_files
-          MKL_DISABLE_FAST_MM=1 PYTHONPATH=. python scripts/onnx/convert_to_onnx.py 2>/dev/null
+          MKL_DISABLE_FAST_MM=1 PYTHONPATH=. python scripts/application_packager/convert_to_onnx.py 2>/dev/null
-          echo "building inference app"
           
-      - name: Upload ONNX file
+      - name: ⬆️ Upload ONNX file
         uses: actions/upload-artifact@v3
         with:
           name: onnx-file
@@ -110,21 +99,20 @@ jobs:
 
       - name: 6. Profile ONNX model
         run: |
-          PYTHONPATH=. python scripts/onnx/profile_onnx.py
+          PYTHONPATH=. python scripts/application_packager/profile_onnx.py
       
-      - name: Upload JSON profiling data
+      - name: ⬆️ Upload JSON trace
         uses: actions/upload-artifact@v3
         with:
           name: profile-data          
           path: '**/onnxruntime_profile_*.json'
       
-      - name: 7. Convert to ORT file
+      - name: 7. Convert ONNX graph to an ORT file
         run: |
-          PYTHONPATH=. python scripts/ort/convert_to_ort.py
+          PYTHONPATH=. python scripts/application_packager/convert_to_ort.py
 
-      - name: Upload ORT file
+      - name: ⬆️ Upload ORT file
         uses: actions/upload-artifact@v3
         with:
           name: ort-file
           path: ort_files/inference_recognition_model.ort
-