Move network_config in dedicated file

compile_config/network_config.yaml

@@ -0,0 +1,7 @@
+optimization_options:
+  - -segmentation_json ./DeepLabV3Plus-R50-ONNX-fp32/compile_config/l2_seg_48k_add_split_4_split_2.json
+  - -enable_dma_fusion
+  - -enable_stu_multi_channel
+  - -stu_multi_channel_config 0x15212420
+  - -stu_weight
+  - -distributed_coef_stu

int8/benchmarks/x5h_mwmx_npu_apm80_12core.yaml

@@ -43,24 +43,14 @@ memory:
 power:
   avg_w: null
 
-network_configuration:
-  key: deeplabv3plus_r50_oss_sim_inf
-  entry_yaml: |
-    optimization_options:
-      - -segmentation_json ./DeepLabV3Plus-R50-ONNX-fp32/compile_config/l2_seg_48k_add_split_4_split_2.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. Rendered
 # by the AI-Dashboard in place of the generic placeholder flow — see
 # downloadRunHTML() / parse_reproduce() in AI-Dashboard/app.js.
 # CAVEAT: this artifact is segment "split_2" of a 4-way split network (see
 # README) — these steps reproduce only this segment's latency, not an
 # end-to-end DeepLabV3+ result. The 1-AI-core config also fails to compile
-# for this artifact, so no 1-core reproduce block exists.
+# for this artifact, so no 1-core reproduce block exists. The network config
+# below is required for this model — there is no working default.
 reproduce:
   steps:
     - title: Activate the Python environment
@@ -71,20 +61,9 @@ reproduce:
       kind: note
     - title: Download the ONNX model and compile config
       command: hf download Renesas/DeepLabV3Plus-R50-ONNX --repo-type model --include "fp32/*" "compile_config/*" --local-dir ./DeepLabV3Plus-R50-ONNX-fp32
-    - title: "Insert this model's entry into network_configuration: in nnac_config/config.yaml (required — this model has no working 1-core config)"
-      command: |
-        deeplabv3plus_r50_oss_sim_inf:
-          optimization_options:
-            - -segmentation_json ./DeepLabV3Plus-R50-ONNX-fp32/compile_config/l2_seg_48k_add_split_4_split_2.json
-            - -enable_dma_fusion
-            - -enable_stu_multi_channel
-            - -stu_multi_channel_config 0x15212420
-            - -stu_weight
-            - -distributed_coef_stu
-      kind: snippet
     - title: Compile with the NNAC toolchain (INT8 auto-cast from the FP32 graph)
       command: |
-        python3 nnac_frontend/legalize.py -d binary/nnx ./DeepLabV3Plus-R50-ONNX-fp32/fp32/deeplabv3plus_r50_oss_sim_inf.onnx --num-core 12
+        python3 nnac_frontend/legalize.py -d binary/nnx ./DeepLabV3Plus-R50-ONNX-fp32/fp32/deeplabv3plus_r50_oss_sim_inf.onnx --num-core 12 --network-config ./DeepLabV3Plus-R50-ONNX-fp32/compile_config/network_config.yaml
     - title: Set up the R-Car X5H board
       command: Configure the board per the AI Compiler (NNAC) "Getting Started" guide, section 3.4 (host TFTP/NFS setup, bootloader flashing, U-Boot, Linux boot, login) -- exact steps depend on your board/network setup.
       kind: note