Update command sto reproduce

int8/benchmarks/x5h_mwmx_npu.yaml

@@ -41,6 +41,17 @@ memory:
 power:
   avg_w: null             # not yet characterized
 
+network_configuration:
+  key: retinanet_9
+  entry_yaml: |
+    optimization_options:
+      - -segmentation_json ./RetinaNet-R101-ONNX-fp32/compile_config/RetinaNet_l2seg.json
+      - -enable_dma_fusion
+      - -enable_stu_multi_channel
+      - -stu_multi_channel_config 0x15212420
+      - -stu_weight
+      - -distributed_coef_stu
+
 # Same config (1 instance, 12 cores, 850 MHz) as x5h_mwmx_npu_apm80_12core.yaml
 # — reusing its verified reproduce steps rather than re-deriving them.
 reproduce:
@@ -53,22 +64,17 @@ reproduce:
       kind: note
     - title: Download the ONNX model and compile config
       command: hf download Renesas/RetinaNet-R101-ONNX --repo-type model --include "fp32/*" "compile_config/*" --local-dir ./RetinaNet-R101-ONNX-fp32
-    - title: Configure the network for the 12-core build
+    - title: "Insert this model's entry into network_configuration: in nnac_config/config.yaml"
       command: |
-        cat > ${WORKDIR}/nnac_config/config.yaml << 'EOF'
-        network_configuration:
-          retinanet_9:
-            optimization_options:
-              - -segmentation_json ./RetinaNet-R101-ONNX-fp32/compile_config/RetinaNet_l2seg.json
-              - -enable_dma_fusion
-              - -enable_stu_multi_channel
-              - -stu_multi_channel_config 0x15212420
-              - -stu_weight
-              - -distributed_coef_stu
-        EOF
-        # Overwrites (not appends to) config.yaml, so re-running this step is
-        # idempotent — a prior run's network_configuration: key can't get
-        # duplicated into an invalid/ambiguous second top-level key.
+        retinanet_9:
+          optimization_options:
+            - -segmentation_json ./RetinaNet-R101-ONNX-fp32/compile_config/RetinaNet_l2seg.json
+            - -enable_dma_fusion
+            - -enable_stu_multi_channel
+            - -stu_multi_channel_config 0x15212420
+            - -stu_weight
+            - -distributed_coef_stu
+      kind: note
     - title: Compile with the NNAC toolchain (INT8 auto-cast from the FP32 graph)
       command: |
         python3 nnac_frontend/legalize.py -d binary/nnx ./RetinaNet-R101-ONNX-fp32/fp32/retinanet-9.onnx --num-core 12

int8/benchmarks/x5h_mwmx_npu_apm80_12core.yaml

@@ -41,6 +41,17 @@ memory:
 power:
   avg_w: null
 
+network_configuration:
+  key: retinanet_9
+  entry_yaml: |
+    optimization_options:
+      - -segmentation_json ./RetinaNet-R101-ONNX-fp32/compile_config/RetinaNet_l2seg.json
+      - -enable_dma_fusion
+      - -enable_stu_multi_channel
+      - -stu_multi_channel_config 0x15212420
+      - -stu_weight
+      - -distributed_coef_stu
+
 # Exact commands verified against the NNAC "Getting Started" chapter, plus the
 # network_configuration block verified against the internal model_zoo compile
 # config for this model's 12-core slice (see
@@ -56,22 +67,17 @@ reproduce:
       kind: note
     - title: Download the ONNX model and compile config
       command: hf download Renesas/RetinaNet-R101-ONNX --repo-type model --include "fp32/*" "compile_config/*" --local-dir ./RetinaNet-R101-ONNX-fp32
-    - title: Configure the network for the 12-core build
+    - title: "Insert this model's entry into network_configuration: in nnac_config/config.yaml"
       command: |
-        cat > ${WORKDIR}/nnac_config/config.yaml << 'EOF'
-        network_configuration:
-          retinanet_9:
-            optimization_options:
-              - -segmentation_json ./RetinaNet-R101-ONNX-fp32/compile_config/RetinaNet_l2seg.json
-              - -enable_dma_fusion
-              - -enable_stu_multi_channel
-              - -stu_multi_channel_config 0x15212420
-              - -stu_weight
-              - -distributed_coef_stu
-        EOF
-        # Overwrites (not appends to) config.yaml, so re-running this step is
-        # idempotent — a prior run's network_configuration: key can't get
-        # duplicated into an invalid/ambiguous second top-level key.
+        retinanet_9:
+          optimization_options:
+            - -segmentation_json ./RetinaNet-R101-ONNX-fp32/compile_config/RetinaNet_l2seg.json
+            - -enable_dma_fusion
+            - -enable_stu_multi_channel
+            - -stu_multi_channel_config 0x15212420
+            - -stu_weight
+            - -distributed_coef_stu
+      kind: note
     - title: Compile with the NNAC toolchain (INT8 auto-cast from the FP32 graph)
       command: |
         python3 nnac_frontend/legalize.py -d binary/nnx ./RetinaNet-R101-ONNX-fp32/fp32/retinanet-9.onnx --num-core 12