Update command sto reproduce

int8/benchmarks/x5h_mwmx_npu_apm80_12core.yaml

@@ -41,6 +41,22 @@ memory:
 power:
   avg_w: null
 
+network_configuration:
+  key: centernet_r18_8xb16_crop512_140e_coco
+  entry_yaml: |
+    last_nodes:
+      - /Reshape_output_0
+      - /Flatten_output_0
+      - /Reshape_1_output_0
+    global_config:
+      weight_symmetric: true
+    optimization_options:
+      - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+      - -enable_shallow_conv_opt
+      - -enable_dma_fusion
+      - -stu_weight
+      - -distributed_coef_stu
+
 # Exact commands verified against the NNAC "Getting Started" chapter for this
 # model (it is that chapter's own worked example), plus the network_configuration
 # block verified against the internal model_zoo compile config for this model's
@@ -60,27 +76,22 @@ reproduce:
       kind: note
     - title: Download the ONNX model and compile config
       command: hf download Renesas/CenterNet-R18-ONNX --repo-type model --include "fp32/*" "compile_config/*" --local-dir ./CenterNet-R18-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:
-          centernet_r18_8xb16_crop512_140e_coco:
-            last_nodes:
-              - /Reshape_output_0
-              - /Flatten_output_0
-              - /Reshape_1_output_0
-            global_config:
-              weight_symmetric: true
-            optimization_options:
-              - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
-              - -enable_shallow_conv_opt
-              - -enable_dma_fusion
-              - -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.
+        centernet_r18_8xb16_crop512_140e_coco:
+          last_nodes:
+            - /Reshape_output_0
+            - /Flatten_output_0
+            - /Reshape_1_output_0
+          global_config:
+            weight_symmetric: true
+          optimization_options:
+            - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+            - -enable_shallow_conv_opt
+            - -enable_dma_fusion
+            - -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 ./CenterNet-R18-ONNX-fp32/fp32/centernet_r18_8xb16_crop512_140e_coco.onnx --num-core 12

int8/benchmarks/x5h_mwmx_npu_apm80_3core.yaml

@@ -41,11 +41,22 @@ memory:
 power:
   avg_w: null
 
-# UNCONFIRMED (segmentation config): this repo's segmentation_json compile_config
-# (compile_config/l2seg_csm_16mb.json, see the 12-core reproduce block) is specific
-# to the 12-core build; no 3-core segmentation config is bundled, so the steps
-# below compile without one — a best-effort single-cluster flow that may not
-# reproduce the exact benchmarked 3-core latency.
+network_configuration:
+  key: centernet_r18_8xb16_crop512_140e_coco
+  entry_yaml: |
+    last_nodes:
+      - /Reshape_output_0
+      - /Flatten_output_0
+      - /Reshape_1_output_0
+    global_config:
+      weight_symmetric: true
+    optimization_options:
+      - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+      - -enable_shallow_conv_opt
+      - -enable_dma_fusion
+      - -stu_weight
+      - -distributed_coef_stu
+
 reproduce:
   steps:
     - title: Activate the Python environment
@@ -56,6 +67,22 @@ reproduce:
       kind: note
     - title: Download the ONNX model
       command: hf download Renesas/CenterNet-R18-ONNX --repo-type=model --include "fp32/*" --local-dir ./CenterNet-R18-ONNX-fp32
+    - title: "Insert this model's entry into network_configuration: in nnac_config/config.yaml"
+      command: |
+        centernet_r18_8xb16_crop512_140e_coco:
+          last_nodes:
+            - /Reshape_output_0
+            - /Flatten_output_0
+            - /Reshape_1_output_0
+          global_config:
+            weight_symmetric: true
+          optimization_options:
+            - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+            - -enable_shallow_conv_opt
+            - -enable_dma_fusion
+            - -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 ./CenterNet-R18-ONNX-fp32/fp32/centernet_r18_8xb16_crop512_140e_coco.onnx --num-core 3

int8/benchmarks/x5h_mwmx_npu_apm80_4core.yaml

@@ -41,11 +41,22 @@ memory:
 power:
   avg_w: null
 
-# UNCONFIRMED (segmentation config): this repo's segmentation_json compile_config
-# (compile_config/l2seg_csm_16mb.json, see the 12-core reproduce block) is specific
-# to the 12-core build; no 4-core segmentation config is bundled, so the steps
-# below compile without one — a best-effort single-cluster flow that may not
-# reproduce the exact benchmarked 4-core latency.
+network_configuration:
+  key: centernet_r18_8xb16_crop512_140e_coco
+  entry_yaml: |
+    last_nodes:
+      - /Reshape_output_0
+      - /Flatten_output_0
+      - /Reshape_1_output_0
+    global_config:
+      weight_symmetric: true
+    optimization_options:
+      - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+      - -enable_shallow_conv_opt
+      - -enable_dma_fusion
+      - -stu_weight
+      - -distributed_coef_stu
+
 reproduce:
   steps:
     - title: Activate the Python environment
@@ -56,6 +67,22 @@ reproduce:
       kind: note
     - title: Download the ONNX model
       command: hf download Renesas/CenterNet-R18-ONNX --repo-type=model --include "fp32/*" --local-dir ./CenterNet-R18-ONNX-fp32
+    - title: "Insert this model's entry into network_configuration: in nnac_config/config.yaml"
+      command: |
+        centernet_r18_8xb16_crop512_140e_coco:
+          last_nodes:
+            - /Reshape_output_0
+            - /Flatten_output_0
+            - /Reshape_1_output_0
+          global_config:
+            weight_symmetric: true
+          optimization_options:
+            - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+            - -enable_shallow_conv_opt
+            - -enable_dma_fusion
+            - -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 ./CenterNet-R18-ONNX-fp32/fp32/centernet_r18_8xb16_crop512_140e_coco.onnx --num-core 4

int8/benchmarks/x5h_mwmx_npu_apm80_6core.yaml

@@ -41,11 +41,22 @@ memory:
 power:
   avg_w: null
 
-# UNCONFIRMED (segmentation config): this repo's segmentation_json compile_config
-# (compile_config/l2seg_csm_16mb.json, see the 12-core reproduce block) is specific
-# to the 12-core build; no 6-core segmentation config is bundled, so the steps
-# below compile without one — a best-effort single-cluster flow that may not
-# reproduce the exact benchmarked 6-core latency.
+network_configuration:
+  key: centernet_r18_8xb16_crop512_140e_coco
+  entry_yaml: |
+    last_nodes:
+      - /Reshape_output_0
+      - /Flatten_output_0
+      - /Reshape_1_output_0
+    global_config:
+      weight_symmetric: true
+    optimization_options:
+      - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+      - -enable_shallow_conv_opt
+      - -enable_dma_fusion
+      - -stu_weight
+      - -distributed_coef_stu
+
 reproduce:
   steps:
     - title: Activate the Python environment
@@ -56,6 +67,22 @@ reproduce:
       kind: note
     - title: Download the ONNX model
       command: hf download Renesas/CenterNet-R18-ONNX --repo-type=model --include "fp32/*" --local-dir ./CenterNet-R18-ONNX-fp32
+    - title: "Insert this model's entry into network_configuration: in nnac_config/config.yaml"
+      command: |
+        centernet_r18_8xb16_crop512_140e_coco:
+          last_nodes:
+            - /Reshape_output_0
+            - /Flatten_output_0
+            - /Reshape_1_output_0
+          global_config:
+            weight_symmetric: true
+          optimization_options:
+            - -segmentation_json ./CenterNet-R18-ONNX-fp32/compile_config/l2seg_csm_16mb.json
+            - -enable_shallow_conv_opt
+            - -enable_dma_fusion
+            - -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 ./CenterNet-R18-ONNX-fp32/fp32/centernet_r18_8xb16_crop512_140e_coco.onnx --num-core 6