Update to version 2.2.1. The setting to enable sparse mode when compi…

…ling for RZ/V2H is now the default.
renesas-rz · Apr 1, 2024 · 7fba7e1 · 7fba7e1
1 parent d501cac
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diff --git a/apps/tutorial_app_v2ml.cpp b/apps/tutorial_app_v2ml.cpp
@@ -365,7 +365,7 @@ int main(int argc, char** argv)
     int udmabuf_fd = 0;
     /* u-dma-buf start addres */
     uint64_t udmabuf_addr_start = 0;
-    uint64_t drpaimem_addr_start = 0;
+    uint32_t drpaimem_addr_start = 0;
     uint32_t udmabuf_size = INPUT_IMAGE_H*INPUT_IMAGE_W*INPUT_IMAGE_C;
     /* Load Label list */
     label_file_map = load_label_file(labels);
@@ -385,7 +385,7 @@ int main(int argc, char** argv)
 
     /*Load model_dir structure and its weight to runtime object */
     drpaimem_addr_start = get_drpai_start_addr();
-    if (drpaimem_addr_start == (uint64_t)NULL) return 0;
+    if (drpaimem_addr_start == (uint32_t)NULL) return 0;
     runtime.LoadModel(model_dir, drpaimem_addr_start+0x38E0000);
 
     /*Get input data */

diff --git a/docs/Model_List.md b/docs/Model_List.md
@@ -6,7 +6,7 @@ Below is a list of AI models that Renesas has verified for conversion with the D
 |------------------------|------------|------------|-------------|-------------|
 | DRP-AI TVM[^1]         | v1.1.1     | v1.1.1     | v1.1.1      | v2.2.0      |
 | Evaluation Board       | RZ/V2L EVK | RZ/V2M EVK | RZ/V2MA EVK | RZ/V2H EVK  |
-| DRP-AI Translator      | v1.82      | v1.82      | v1.82       | v1.83       |
+| DRP-AI Translator      | v1.82      | v1.82      | v1.82       | i8 v1.01    |
 | Linux Package          | v3.0.2     | v1.3.0     | v1.0.0      | AISDK v3.00 |
 | DRP-AI Support Package | v7.30      | v7.30      | v7.20       | AISDK v3.00 |
 
@@ -47,7 +47,7 @@ Below is a list of AI models that Renesas has verified for conversion with the D
 |[YOLOv8m](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8m.pt)                                                                                              |Object Detection |ONNX                |147706ms|1020ms |356004ms|987ms  |177888ms|971ms  |        |        |
 |[YOLOv8l](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8l.pt)                                                                                              |Object Detection |ONNX                |143141ms|447ms  |352785ms|398ms  |176179ms|399ms  |        |        |
 |[YOLOv8x](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8x.pt)                                                                                              |Object Detection |ONNX                |60873ms |594ms  |147215ms|524ms  |73570ms |522ms  |        |        |
-|[YOLOX_s](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.pth)                                                                                   |Object Detection |ONNX                |56540ms |402ms  |138831ms|368ms  |69598ms |373ms  |        |69ms    |
+|[YOLOX_s](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.pth)                                                                                   |Object Detection |ONNX                |56540ms |402ms  |138831ms|368ms  |69598ms |373ms  |        |16ms    |
 |[YOLOX_m](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_m.pth)                                                                                   |Object Detection |ONNX                |150285ms|686ms  |361990ms|580ms  |180987ms|587ms  |        |        |
 |[YOLOX_l](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_l.pth)                                                                                   |Object Detection |ONNX                |139775ms|289ms  |344315ms|228ms  |172028ms|229ms  |        |        |
 |[YOLOX_x](https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_x.pth)                                                                                   |Object Detection |ONNX                |65489ms |463ms  |157959ms|341ms  |78918ms |344ms  |        |        |

diff --git a/setup/README.md b/setup/README.md
@@ -14,11 +14,10 @@ Requirements are listed below.
 - Package : git
 - Evaluation Board: RZ/V2L EVK, RZ/V2M EVK, RZ/V2MA EVK
 - Related Software Version:
+  - [DRP-AI Translator V1.84](https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/drp-ai-translator)
   - RZ/V2L
-  - [DRP-AI Translator V1.83](https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/drp-ai-translator)
     - [RZ/V2L AI SDK v2.10](https://www.renesas.com/software-tool/rzv2l-ai-software-development-kit)
   - RZ/V2M, RZ/V2MA
-    - [DRP-AI Translator V1.83](https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/drp-ai-translator)
     - [RZ/V Verified Linux Package V3.0.4 or lator](https://www.renesas.com/us/en/software-tool/rzv-verified-linux-package)
     - DRP-AI Support Package V7.40 or lator [RZ/V2L](https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/rzv2l-drp-ai-support-package) [RZ/V2M](https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpusl/rzv2m-drp-ai-support-package) [RZ/V2MA](https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/rzv2ma-drp-ai-support-package)
 

diff --git a/tutorials/run_drp_quant_compiler.sh b/tutorials/run_drp_quant_compiler.sh
@@ -34,6 +34,16 @@ ONNX_FILE=$6
 work_dir=$PWD
 mkdir -p ${OUT}
 
+if [ -z $SPARSE_ENABLE ] ; then
+  SPARSE_OPT="--sparse"
+else
+  if "${SPARSE_ENABLE}" ; then
+    SPARSE_OPT="--sparse"
+  else
+    SPARSE_OPT=" "
+  fi
+fi
+
 expected_result_files=(
   "addr_map.txt"
   "addr_map.yaml"
@@ -58,7 +68,7 @@ for file in "${expected_result_files[@]}"; do
 done
 
 cd ${TOOL_DIR}
-python3 DRP-AI_Translator/run.py ${CNAME} --onnx ${work_dir}/${ONNX_FILE} --prepost ${work_dir}/${PREPOST_FILE} --s_addr ${START_ADDR}
+python3 DRP-AI_Translator/run.py ${CNAME} --onnx ${work_dir}/${ONNX_FILE} --prepost ${work_dir}/${PREPOST_FILE} --s_addr ${START_ADDR} ${SPARSE_OPT}
 
 cd ${work_dir}
 mv ${TOOL_DIR}/output/${CNAME}/* ${OUT}/

diff --git a/tutorials/tutorial_RZV2H.md b/tutorials/tutorial_RZV2H.md
@@ -162,7 +162,17 @@ Please set `OPTIMIZER_ENABLE=false`  as below.
 ``` bash
 OPTIMIZER_ENABLE=false python3 compile_onnx_model_quant.py ./resnet50-v1-7.onnx -o resnet50_v1_onnx -t $SDK -d $TRANSLATOR -c $QUANTIZER --images calibrate_images_voc -v 100
 ```
-### b. Interpreter mode
+
+### b. SPARSE_ENABLE option
+SPARSE_ENABLE is sparse option.  
+This option is enabled by default.  
+If you want to explicitly disable Sparse mode (to ensure processing in Dense mode), specify this option to false.  
+Please set `SPARSE_ENABLE=false`  as below.  
+``` bash
+SPARSE_ENABLE=false python3 compile_onnx_model_quant.py ./resnet50-v1-7.onnx -o resnet50_v1_onnx -t $SDK -d $TRANSLATOR -c $QUANTIZER --images calibrate_images_voc -v 100
+```
+
+### c. Interpreter mode
 
 Interpreter mode is inference-simulation function supported by DRP-AI TVM[^1].  
 You can refer inference results from quantized models on PC.