Update sample workload tensorflow (#2101)

Auto download emsdk under core/deps and hack it, and fix multi-thread issues.

samples/workload/tensorflow/README.md

@@ -1,29 +1,19 @@
 "tensorflow" sample introduction
 ==============
 
-This sample demonstrates how to build [tensorflow](https://github.com/tensorflow/tensorflow) into WebAssembly with emsdk toolchain and run it with iwasm. Please first install [emsdk](https://github.com/emscripten-core/emsdk):
-```bash
-git clone https://github.com/emscripten-core/emsdk.git
-cd emsdk
-./emsdk install 2.0.26
-./emsdk activate 2.0.26
-```
-And set up ensdk environment:
-```bash
-source emsdk_env.sh
-```
-Then run
+This sample demonstrates how to build [tensorflow](https://github.com/tensorflow/tensorflow) into WebAssembly with emsdk toolchain and run it with iwasm.:
 ```bash
 ./build.sh
 # for linux platform, or
-./build.sh --sgx
-# for linux-sgx platform or
 ./build.sh --threads
-# for multi-thread execution (on linux platform)
+# for multi-threading on linux platform
+./build.sh --sgx
+# for linux-sgx platform
 ```
 to build tensorflow and run it with iwasm, which basically contains the following steps:
+- clone emsdk under `<wamr_dir>/core/deps`, install and activate 2.0.26
 - hack emcc to delete some objects in libc.a
 - build tf-lite with emcc compiler
-- build iwasm with pthread enable and include libiary under libc-emcc
+- build iwasm with lib-pthread and libc-emcc enabled
 - run benchmark model with iwasm:
   --max-secs 300: means the max training time cost is 5 minutes, you can adjust it by yourself

samples/workload/tensorflow/build.sh

@@ -8,24 +8,20 @@
 ####################################
 #   build tensorflow-lite sample   #
 ####################################
-if [ ! -d "${EMSDK}" ]; then
-    echo "can not find emsdk. "
-    echo "please refer to https://emscripten.org/docs/getting_started/downloads.html "
-    echo "to install it, or active it by 'source <emsdk_dir>emsdk_env.sh'"
-    exit
-fi
-
-set -xe
-
-EMSDK_WASM_DIR="${EMSDK}/upstream/emscripten/cache/sysroot/lib/wasm32-emscripten"
 BUILD_SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+WAMR_DIR="${BUILD_SCRIPT_DIR}/../../.."
+WAMR_PLATFORM_DIR="${WAMR_DIR}/product-mini/platforms"
+WAMRC_DIR="${WAMR_DIR}/wamr-compiler"
+CORE_DEPS_DIR="${WAMR_DIR}/core/deps"
+EMSDK_DIR="${CORE_DEPS_DIR}/emsdk"
+
+EMSDK_WASM_DIR="${EMSDK_DIR}/upstream/emscripten/cache/sysroot/lib/wasm32-emscripten"
 OUT_DIR="${BUILD_SCRIPT_DIR}/out"
 TENSORFLOW_DIR="${BUILD_SCRIPT_DIR}/tensorflow"
 TF_LITE_BUILD_DIR="${TENSORFLOW_DIR}/tensorflow/lite/tools/make"
-WAMR_PLATFORM_DIR="${BUILD_SCRIPT_DIR}/../../../product-mini/platforms"
-WAMRC_DIR="${BUILD_SCRIPT_DIR}/../../../wamr-compiler"
 
-function Clear_Before_Exit
+function Clear_Before_Exit()
 {
     [[ -f ${TENSORFLOW_DIR}/tf_lite.patch ]] &&
        rm -f ${TENSORFLOW_DIR}/tf_lite.patch
@@ -34,7 +30,18 @@ function Clear_Before_Exit
     mv libc.a.bak libc.a
 }
 
-# 1.hack emcc
+set -xe
+
+# 1.clone emsdk
+cd ${CORE_DEPS_DIR}
+rm -fr emsdk
+git clone https://github.com/emscripten-core/emsdk.git
+cd emsdk
+./emsdk install 2.0.26
+./emsdk activate 2.0.26
+source emsdk_env.sh
+
+# 2.hack emcc
 cd ${EMSDK_WASM_DIR}
 # back up libc.a
 cp libc.a libc.a.bak
@@ -42,11 +49,13 @@ cp libc.a libc.a.bak
 emar d libc.a open.o
 emar d libc.a mmap.o
 emar d libc.a munmap.o
+emar d libc.a library_pthread_stub.o
+emar d libc.a pthread_self.o
 emranlib libc.a
 
-# 2. build tf-lite
+# 3. build tf-lite
 cd ${BUILD_SCRIPT_DIR}
-# 2.1 clone tf repo from Github and checkout to 2303ed commit
+# 3.1 clone tf repo from Github and checkout to 2303ed commit
 if [ ! -d "tensorflow" ]; then
     git clone https://github.com/tensorflow/tensorflow.git
 fi
@@ -54,7 +63,7 @@ fi
 cd ${TENSORFLOW_DIR}
 git checkout 2303ed4bdb344a1fc4545658d1df6d9ce20331dd
 
-# 2.2 copy the tf-lite.patch to tensorflow_root_dir and apply
+# 3.2 copy the tf-lite.patch to tensorflow_root_dir and apply it
 cd ${TENSORFLOW_DIR}
 cp ${BUILD_SCRIPT_DIR}/tf_lite.patch .
 git checkout tensorflow/lite/tools/make/Makefile
@@ -67,12 +76,12 @@ if [[ $(git apply tf_lite.patch 2>&1) =~ "error" ]]; then
 fi
 
 cd ${TF_LITE_BUILD_DIR}
-# 2.3 download dependencies
+# 3.3 download dependencies
 if [ ! -d "${TF_LITE_BUILD_DIR}/downloads" ]; then
     source download_dependencies.sh
 fi
 
-# 2.4 build tf-lite target
+# 3.4 build tf-lite target
 if [ -d "${TF_LITE_BUILD_DIR}/gen" ]; then
     rm -fr ${TF_LITE_BUILD_DIR}/gen
 fi
@@ -82,19 +91,19 @@ make -j 4 -C "${TENSORFLOW_DIR}" -f ${TF_LITE_BUILD_DIR}/Makefile
 # remove patch file and recover emcc libc.a after building
 Clear_Before_Exit
 
-# 2.5 copy /make/gen target files to out/
+# 3.5 copy /make/gen target files to out/
 rm -rf ${OUT_DIR}
 mkdir ${OUT_DIR}
 cp -r ${TF_LITE_BUILD_DIR}/gen/linux_x86_64/bin/. ${OUT_DIR}/
 
-# 3. compile tf-model.wasm to tf-model.aot with wamrc
-# 3.1 build wamr-compiler
+# 4. compile tf-model.wasm to tf-model.aot with wamrc
+# 4.1 build wamr-compiler
 cd ${WAMRC_DIR}
 ./build_llvm.sh
 rm -fr build && mkdir build
 cd build && cmake ..
 make
-# 3.2 compile tf-mode.wasm to tf-model.aot
+# 4.2 compile tf-mode.wasm to tf-model.aot
 WAMRC_CMD="$(pwd)/wamrc"
 cd ${OUT_DIR}
 if [[ $1 == '--sgx' ]]; then
@@ -105,14 +114,14 @@ else
     ${WAMRC_CMD} -o benchmark_model.aot benchmark_model.wasm
 fi
 
-# 4. build iwasm with pthread and libc_emcc enable
+# 5. build iwasm with pthread and libc_emcc enable
 #    platform:
 #     linux by default
 #     linux-sgx if $1 equals '--sgx'
 if [[ $1 == '--sgx' ]]; then
     cd ${WAMR_PLATFORM_DIR}/linux-sgx
     rm -fr build && mkdir build
-    cd build && cmake .. -DWAMR_BUILD_LIB_PTHREAD=1 -DWAMR_BUILD_LIBC_EMCC=1
+    cd build && cmake .. -DWAMR_BUILD_LIBC_EMCC=1
     make
     cd ../enclave-sample
     make
@@ -123,15 +132,13 @@ else
     make
 fi
 
-# 5. run tensorflow with iwasm
-cd ${BUILD_SCRIPT_DIR}
-# 5.1 download tf-lite model
-if [ ! -f mobilenet_quant_v1_224.tflite ]; then
+# 6. run tensorflow with iwasm
+cd ${OUT_DIR}
+# 6.1 download tf-lite model
 wget "https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_224_android_quant_2017_11_08.zip"
 unzip mobilenet_v1_224_android_quant_2017_11_08.zip
-fi
 
-# 5.2 run tf-lite model with iwasm
+# 6.2 run tf-lite model with iwasm
 echo "---> run tensorflow benchmark model with iwasm"
 if [[ $1 == '--sgx' ]]; then
     IWASM_CMD="${WAMR_PLATFORM_DIR}/linux-sgx/enclave-sample/iwasm"
@@ -141,11 +148,10 @@ fi
 
 if [[ $1 == '--threads' ]]; then
     ${IWASM_CMD} --heap-size=10475860 \
-             ${OUT_DIR}/benchmark_model.aot --num_threads=4 \
+             benchmark_model.aot --num_threads=4 \
              --graph=mobilenet_quant_v1_224.tflite --max_secs=300
 else
     ${IWASM_CMD} --heap-size=10475860 \
-             ${OUT_DIR}/benchmark_model.aot \
+             benchmark_model.aot \
              --graph=mobilenet_quant_v1_224.tflite --max_secs=300
 fi
-