run_custom_pc.sh

#!/usr/bin/env bash

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##################################################################
# target_device - use one of: TDA4VM AM62A AM68A AM69A
# (Note: until r8.5 only TDA4VM was supported)
TARGET_SOC=${1:-TDA4VM}

# leave this as pc - no change needed
# pc: for model compilation and inference on PC, evm: for model inference on EVM
# after compilation, run_package_artifacts_evm.sh can be used to format and package the compiled artifacts for evm
TARGET_MACHINE=pc

echo #############################################################
echo "target_device/SOC: ${TARGET_SOC}"
echo "Pass the appropriate commandline argument to use another target_device"

##################################################################
# set environment variables
# also point to the right type of artifacts (pc or evm)
source run_set_env.sh ${TARGET_SOC} ${TARGET_MACHINE}

# specify one of the following - additional options can be changed inside the yaml
#settings_file=settings_infer_on_evm.yaml
#settings_file=settings_import_on_pc.yaml
settings_file=settings_import_on_pc.yaml


echo "==================================================================="
## run all the shortlisted models with these settings
python3 ./scripts/benchmark_custom.py ${settings_file} --target_device ${TARGET_SOC}
echo "-------------------------------------------------------------------"

echo "==================================================================="
# generate the final report with results for all the artifacts generated
python3 ./scripts/generate_report.py ${settings_file}
echo "-------------------------------------------------------------------"