#!/bin/bash
  
ACUITY_PATH=../bin/
#ACUITY_PATH=../python/tvm/
adla_convert=${ACUITY_PATH}adla_convert


if [ ! -e "$adla_convert" ]; then
    adla_convert=${ACUITY_PATH}adla_convert.py
fi

$adla_convert --model-type onnx \
        --model ./model_source/facenet/facenet.onnx \
        --inputs "images" \
        --input-shapes  "3,160,160"  \
        --dtypes "float32" \
        --inference-input-type float32 \
		--inference-output-type float32 \
        --quantize-dtype int8 --outdir onnx_output  \
        --channel-mean-value "0,0,0,255"  \
        --source-file facenet_dataset.txt  \
        --iterations 394 \
        --disable-per-channel False \
        --batch-size 1 --target-platform PRODUCT_PID0XA003