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[Examples] Add the named model feature into pytorch demo. #11

[Examples] Add the named model feature into pytorch demo.

[Examples] Add the named model feature into pytorch demo. #11

Workflow file for this run

name: Build and Test TFlite examples
on:
workflow_dispatch:
inputs:
logLevel:
description: 'Log level'
required: true
default: 'info'
push:
branches: [ '*' ]
pull_request:
branches: [ '*' ]
jobs:
build:
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v2
- name: Install apt-get packages
run: |
sudo ACCEPT_EULA=Y apt-get update
sudo ACCEPT_EULA=Y apt-get upgrade
sudo apt-get install wget git curl software-properties-common build-essential
- name: Install Rust target for wasm
run: |
rustup target add wasm32-wasi
- name: Install WasmEdge + WASI-NN + TFLite
run: |
VERSION=0.13.2
TFVERSION=2.12.0
curl -s -L -O --remote-name-all https://github.com/second-state/WasmEdge-tensorflow-deps/releases/download/TF-2.12.0-CC/WasmEdge-tensorflow-deps-TFLite-TF-$TFVERSION-CC-manylinux2014_x86_64.tar.gz
tar -zxf WasmEdge-tensorflow-deps-TFLite-TF-$TFVERSION-CC-manylinux2014_x86_64.tar.gz
rm -f WasmEdge-tensorflow-deps-TFLite-TF-$TFVERSION-CC-manylinux2014_x86_64.tar.gz
sudo mv libtensorflowlite_c.so /usr/local/lib
sudo mv libtensorflowlite_flex.so /usr/local/lib
curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | sudo bash -s -- -v $VERSION --plugins wasi_nn-tensorflowlite -p /usr/local
- name: Example
run: |
cd tflite-birds_v1-image/rust
cargo build --target wasm32-wasi --release
cd ..
wasmedge compile rust/target/wasm32-wasi/release/wasmedge-wasinn-example-tflite-bird-image.wasm wasmedge-wasinn-example-tflite-bird-image.wasm
wasmedge --dir .:. wasmedge-wasinn-example-tflite-bird-image.wasm lite-model_aiy_vision_classifier_birds_V1_3.tflite bird.jpg