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1. Intel® FPGA AI Suite SoC Design Example User Guide
2. About the SoC Design Example
3. Intel® FPGA AI Suite SoC Design Example Quick Start Tutorial
4. Intel® FPGA AI Suite SoC Design Example Run Process
5. Intel® FPGA AI Suite SoC Design Example Build Process
6. Intel® FPGA AI Suite SoC Design Example Intel® Quartus® Prime System Architecture
7. Intel® FPGA AI Suite Soc Design Example Software Components
8. Streaming-to-Memory (S2M) Streaming Demonstration
A. Intel® FPGA AI Suite SoC Design Example User Guide Archives
B. Intel® FPGA AI Suite SoC Design Example User Guide Document Revision History
3.1. Initial Setup
3.2. Initializing a Work Directory
3.3. (Optional) Create an SD Card Image (.wic)
3.4. Writing the SD Card Image (.wic) to an SD Card
3.5. Preparing the Intel® Arria® 10 SX SoC FPGA Development Kit for the Intel® FPGA AI Suite SoC Design Example
3.6. Adding Compiled Graphs (AOT files) to the SD Card
3.7. Running the Demonstration Applications
3.5.1. Confirming Intel® Arria® 10 SX SoC FPGA Development Kit Board Settings
3.5.2. Connect the Intel® Arria® 10 SX SoC FPGA Development Kit to the Host Development System
3.5.3. Configuring the Intel® Arria® 10 SX SoC FPGA Development Kit UART Connection
3.5.4. Determining the Intel® Arria® 10 SX SoC FPGA Development Kit IP Address
7.1.1. Yocto Recipe: recipes-core/images/coredla-image.bb
7.1.2. Yocto Recipe: recipes-bsp/u-boot/u-boot-socfpga_%.bbapend
7.1.3. Yocto Recipe: recipes-drivers/msgdma-userio/msgdma-userio.bb
7.1.4. Yocto Recipe: recipes-drivers/uio-devices/uio-devices.bb
7.1.5. Yocto Recipe: recipes-kernel/linux/linux-socfpga-lts_5.15.bbappend
7.1.6. Yocto Recipe: wic
3.6.3. Compiling the Graphs
The precompiled SD card image (.wic) provided with the Intel® FPGA AI Suite uses A10_Performance.arch as the IP architecture configuration.
To create the AOT file for the M2M variant (which uses the dla_benchmark utility), run the following command:
cd $COREDLA_WORK/demo/models/public/resnet-50-tf/FP32 dla_compiler \ --march $COREDLA_ROOT/example_architectures/A10_Performance.arch \ --network-file ./resnet-50-tf.xml \ --foutput-format=open_vino_hetero \ --o $COREDLA_WORK/demo/RN50_Performance_b1.bin \ --batch-size=1 \--fanalyze-performance
To create the AOT file for the S2M variant (which uses the streaming inference app), run the following command:
cd $COREDLA_WORK/demo/models/public/resnet-50-tf/FP32 dla_compiler \ --march $COREDLA_ROOT/example_architectures/A10_Performance.arch \ --network-file ./resnet-50-tf.xml \ --foutput-format=open_vino_hetero \ --o $COREDLA_WORK/demo/RN50_Performance_no_folding.bin \ --batch-size=1 \--fanalyze-performance \ --ffolding-option=0
After running either these commands, the compiled models and demonstration files are in the following locations:
Compiled Models |
$COREDLA_WORK/demo/RN50_Performance_b1.bin $COREDLA_WORK/demo/RN50_Performance_no_folding.bin |
Sample Images |
$COREDLA_WORK/demo/sample_images/ |
Architecture File |
$COREDLA_ROOT/example_architectures/A10_Performance.arch |