Flex Delegateを有効にしたTensorflow Liteの共有ライブラリのビルドとTensorflow Liteで非対応のオペレーションを含むモデル(.pb)のtflite変換・8bit量子化 (Tensorflow v2.0.0)

**TensorFlow-ENet**　[![GitHub stars](https://img.shields.io/github/stars/PINTO0309/TensorFlow-ENet.svg?style=social&label=Stars)](https://github.com/PINTO0309/TensorFlow-ENet)
<a href="https://github.com/PINTO0309/TensorFlow-ENet"><img src="https://github-link-card.s3.ap-northeast-1.amazonaws.com/PINTO0309/TensorFlow-ENet.png" width="460px"></a>
# １．Introduction
Tensorflow Select (Flex Delegate) は、 **`MaxPoolWithArgmax → FlexMaxPoolWithArgmax`** や **`ScatterNd → FlexScatterNd`** のように、Tensorflow Lite では非対応のオペレーションの先頭に **`Flex`** というサフィックスを付与し、Tensorflowへオフロードして実行できるようにする、そうです。 が、 私には C や C++ でプログラムを実装するスキルが無いため、Flex Delegate を有効にした Tensorflow Lite の共有ライブラリ(.so) のビルドと Tensorflow Lite 非対応モデルの tflite変換 ＋ 8bit量子化だけ実施して推論のテストは実施せずに自己満足しています。 生成したTensorflow Liteの共有ライブラリ **`libtensorflowlite.so`** は **`x86_64`** のアーキテクチャ上でビルドしました。 **[ビルド済みの libtensorflowlite.so (x86_64) のダウンロードリンク (Google Drive)](https://drive.google.com/open?id=1_gYv7CA-AQaDxzuRC6oymExYB52p-rDd)**

Python版の Flex Delegate 対応を待ち望んでいるのですが、公式リポジトリをウォッチしている限りではしばらく期待できそうにありません。 現状では Java版 のみ正常に動作し、 C/C++版は 「まともに動かない」 という **[【説１】 Shared library libtensorflowlite.so cannot be found after building from source](https://github.com/tensorflow/tensorflow/issues/33980)** と **[【説２】 How to invoke the Flex delegate for tflite interpreters?](https://stackoverflow.com/questions/57658509/how-to-invoke-the-flex-delegate-for-tflite-interpreters)** があります。

ちなみに、Pythonで無理やり実行したところ、下図のようにエラーになりました。
<blockquote class="twitter-tweet"><p lang="ja" dir="ltr">Tensorflow v2.0.0 + Flex + ENet + Python を実行してみました。 エラーの内容が変わりましたね。<br>F tensorflow/core/framework/op.cc:55] Non-OK-status: RegisterAlreadyLocked(op_data_factory) status: Already exists: Op with name Copy <a href="https://t.co/x7UJ1C7vDm">pic.twitter.com/x7UJ1C7vDm</a></p>&mdash; Super PINTO (@PINTO03091) <a href="https://twitter.com/PINTO03091/status/1193076724159762433?ref_src=twsrc%5Etfw">November 9, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

# ２．Environment

- Ubuntu 18.04 x86_64 (glibc2.27)
- Tensorflow v2.0.0
- Tensorflow Lite
- Bazel 0.26.1
- C or C++ ？？？

# ３．Procedure
## ３−１．Generate ENet 8bit quantization model (.tflite)
Tensorflow Lite非対応のオペレーションを含む セマンティック・セグメンテーションのモデル **`ENet`** モデルを **`Flex Delegate`** で強制的に tflite形式 へ変換すると同時に、8bit量子化 も実施します。 素の Tensorflow のオペレーションが取り込まれるためか、モデルのサイズは大きくなってしまいます。

```console:Tensorflow_Lite非対応モデル「ENet」のtflite変換と8bit量子化
$ cd ~

### PINTOが独自生成した ENetモデル(.pb) を含むリポジトリのClone
$ git clone https://github.com/PINTO0309/TensorFlow-ENet.git

### Tensorflow v2.0.0 のClone
$ git clone -b v2.0.0 https://github.com/tensorflow/tensorflow.git

### .pbの.tflite変換と8bit量子化
$ cd tensorflow/tensorflow/lite/python
$ sudo bazel run --define=tflite_convert_with_select_tf_ops=true \
tflite_convert -- \
--output_file=${HOME}/TensorFlow-ENet/checkpoint/semanticsegmentation_enet.tflite \
--graph_def_file=${HOME}/TensorFlow-ENet/checkpoint/semanticsegmentation_enet.pb \
--output_format=TFLITE \
--inference_type QUANTIZED_UINT8 \
--input_arrays=input \
--output_arrays=ENet/logits_to_softmax \
--target_ops=TFLITE_BUILTINS,SELECT_TF_OPS \
--post_training_quantize
```
![Screenshot 2019-11-15 00:34:44.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/194769/b60123a4-96c1-800b-5d8e-11553a2862a2.png)
![Screenshot 2019-11-15 00:36:09.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/194769/2cb0ec9a-ff8e-c0fc-497b-0b2263748235.png)

## ３−２．Structure of .pb file before conversion (ENet)
**semanticsegmentation_enet.pb**
**[PNG Format](https://drive.google.com/open?id=1-730_m4kqHystY6uELJMUWEdoOyIMZ0H)**　**[SVG Format](https://drive.google.com/open?id=1WzopHeEXAD5ezwWsjlBw6kBr-2-k6DwB)**

## ３−３．Structure of .tflite file after conversion (ENet)
**semanticsegmentation_enet.tflite**
**[PNG Format](https://drive.google.com/open?id=1ZGPitcwhPOIvlAjIX4dRRatcLrqWJX4z)**　**[SVG Format](https://drive.google.com/open?id=1aGlbclVHWxqcxLW8Z0US-vDgjqr2zYD1)**

## ３−４．Build a TensorflowLite shared library (.so) with FlexDelegate enabled

```console:configure
$ cd ~/tensorflow
$ ./configure 
WARNING: ignoring LD_PRELOAD in environment.
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.26.1- (@non-git) installed.
Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3

Found possible Python library paths:
  /opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer
  /usr/local/lib
  /opt/intel/openvino_2019.3.376/python/python3.6
  /opt/intel/openvino_2019.3.376/deployment_tools/open_model_zoo/tools/accuracy_checker
  /usr/local/lib/python3.6/dist-packages
  /usr/lib/python3/dist-packages
  /opt/intel/openvino_2019.3.376/python/python3
Please input the desired Python library path to use.  Default is [/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer]
/usr/local/lib/python3.6/dist-packages
Do you wish to build TensorFlow with XLA JIT support? [Y/n]: n
No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n
No OpenCL SYCL support will be enabled for TensorFlow.

Do you wish to build TensorFlow with ROCm support? [y/N]: n
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: n
No CUDA support will be enabled for TensorFlow.

Do you wish to download a fresh release of clang? (Experimental) [y/N]: n
Clang will not be downloaded.

Do you wish to build TensorFlow with MPI support? [y/N]: n
No MPI support will be enabled for TensorFlow.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native -Wno-sign-compare]: 


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
	--config=mkl         	# Build with MKL support.
	--config=monolithic  	# Config for mostly static monolithic build.
	--config=gdr         	# Build with GDR support.
	--config=verbs       	# Build with libverbs support.
	--config=ngraph      	# Build with Intel nGraph support.
	--config=numa        	# Build with NUMA support.
	--config=dynamic_kernels	# (Experimental) Build kernels into separate shared objects.
	--config=v2          	# Build TensorFlow 2.x instead of 1.x.
Preconfigured Bazel build configs to DISABLE default on features:
	--config=noaws       	# Disable AWS S3 filesystem support.
	--config=nogcp       	# Disable GCP support.
	--config=nohdfs      	# Disable HDFS support.
	--config=noignite    	# Disable Apache Ignite support.
	--config=nokafka     	# Disable Apache Kafka support.
	--config=nonccl      	# Disable NVIDIA NCCL support.
Configuration finished

```

```console:ビルド用ディレクトリへ移動
$ cd ~/tensorflow/tensorflow/lite
$ nano BUILD
```

```protobuf:FlexDelegateを有効にするためBUILDファイルを修正
tflite_cc_shared_object(
    name = "libtensorflowlite.so",
    linkopts = select({
        "//tensorflow:macos": [
            "-Wl,-exported_symbols_list,$(location //tensorflow/lite:tflite_exported_symbols.lds)",
            "-Wl,-install_name,@rpath/libtensorflowlite.so",
        ],
        "//tensorflow:windows": [],
        "//conditions:default": [
            "-z defs",
            "-Wl,--version-script,$(location //tensorflow/lite:tflite_version_script.lds)",
        ],
    }),
    deps = [
        ":framework",
        ":tflite_exported_symbols.lds",
        ":tflite_version_script.lds",
        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/delegates/flex:delegate",
    ],
)
```

<kbd>Ctrl</kbd> + <kbd>O</kbd>
<kbd>Ctrl</kbd> + <kbd>X</kbd>

```console:MakeFileの修正
$ nano ~/tensorflow/tensorflow/lite/tools/make/Makefile
```

```console:NNAPIを無効化
BUILD_WITH_NNAPI=false
```

<kbd>Ctrl</kbd> + <kbd>O</kbd>
<kbd>Ctrl</kbd> + <kbd>X</kbd>

```console:FlexDelegateを有効にしたTensorflowLiteの共有ライブラリ(.so)のビルド
$ sudo bazel build \
--config=monolithic \
--config=noaws \
--config=nohdfs \
--config=noignite \
--config=nokafka \
--config=nonccl \
--config=v2 \
--define=tflite_convert_with_select_tf_ops=true \
--define=with_select_tf_ops=true \
//tensorflow/lite:libtensorflowlite.so
```
Tensorflow v2.0.0 本体のカーネルをすべて取り込んでいるようで、 **`95.5 MB`** もの巨大な共有ライブラリが生成されました。 全然ライトじゃないです。。。
![Screenshot 2019-11-14 23:19:18.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/194769/2b061cb0-638a-bdbe-e5e0-fb2564b99e73.png)
![Screenshot 2019-11-15 01:06:15.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/194769/67f52020-8b3f-a9d9-dd98-f90313ef6f61.png)


**<details><summary>libtensorflowlite.so のシンボル参照</summary><div>**

```console:シンボル参照
$ objdump -T libtensorflowlite.so | grep text
0000000000744810 g    DF .text	000000000000002b  VERS_1.0    _ZN6tflite8IsFlexOpEPKc
000000000060e540 g    DF .text	0000000000000047  VERS_1.0    _ZN6tflite16ResourceVariableD2Ev
00000000006199b0 g    DF .text	00000000000027cc  VERS_1.0    _ZN6tflite11ParseOpDataEPKNS_8OperatorENS_15BuiltinOperatorEPNS_13ErrorReporterEPNS_20BuiltinDataAllocatorEPPv
00000000005f1c20 g    DF .text	0000000000000079  VERS_1.0    _ZN6tflite8Subgraph11CleanupNodeEi
00000000005f0f90 g    DF .text	0000000000000032  VERS_1.0    _ZN6tflite12tensor_utils32PortableVectorVectorCwiseProductEPKfS2_iPf
0000000000559730 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops6custom11Register_IFEv
00000000004c1ba0 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin13Register_TANHEv
00000000004e7720 g    DF .text	0000000000000262  VERS_1.0    _ZN6tflite3ops7builtin4ceil4EvalEP13TfLiteContextP10TfLiteNode
0000000000526940  w   DF .text	0000000000000006  VERS_1.0    _ZN6tflite13optimized_ops23DepthwiseConvWorkerTaskIhiED1Ev
000000000055c570 g    DF .text	000000000000000a  VERS_1.0    _ZN6tflite3ops7builtin37Register_LOCAL_RESPONSE_NORMALIZATIONEv
00000000005f2e90 g    DF .text	000000000000013b  VERS_1.0    _ZN6tflite8Subgraph20PrepareOpsAndTensorsEv
000000000053af70  w   DF .text	0000000000000a71  VERS_1.0    _ZN6tflite3ops7builtin3div7EvalDivILNS2_10KernelTypeE1EEEvP13TfLiteContextP10TfLiteNodeP15TfLiteDivParamsPKNS2_6OpDataEPK12TfLiteTensorSG_PSE_
00000000004c1f30  w   DF .text	000000000000031f  VERS_1.0    _ZN6tflite3ops7builtin11activations16SoftmaxQuantizedIhEE12TfLiteStatusP13TfLiteContextPK12TfLiteTensorPS7_PNS2_13SoftmaxOpDataE
0000000000538d20  w   DF .text	00000000000005b3  VERS_1.0    _ZN6tflite13reference_ops18BroadcastDiv4DSlowIiEEvRKNS_16ArithmeticParamsERKNS_12RuntimeShapeEPKT_S7_SA_S7_PS8_
0000000000600630 g    DF .text	00000000000000db  VERS_1.0    _ZN6tflite12ArenaPlannerD2Ev
0000000000744200 g    DF .text	0000000000000086  VERS_1.0    _ZN6tflite16logging_internal13MinimalLogger3LogENS_11LogSeverityEPKcz
00000000004d6c50 g    DF .text	000000000000022c  VERS_1.0    _ZN6tflite3ops7builtin11arg_min_max7PrepareEP13TfLiteContextP10TfLiteNode
000000000059ec50 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin14Register_SHAPEEv
0000000000744080 g    DF .text	000000000000001a  VERS_1.0    _ZN6tflite4flex21GetTensorFlowLiteTypeE11TF_DataType
00000000006063c0  w   DF .text	00000000000000b5  VERS_1.0    _ZN6tflite8delegate5nnapi14NNAPIOpBuilder16AddScalarOperandIfEE12TfLiteStatusT_i
00000000005dcf60 g    DF .text	00000000000000c1  VERS_1.0    _ZN6tflite13eigen_support21DecrementUsageCounterEP13TfLiteContext
00000000004cc5f0  w   DF .text	0000000000001389  VERS_1.0    _ZN6tflite3ops7builtin3add7EvalAddILNS2_10KernelTypeE1EEEvP13TfLiteContextP10TfLiteNodeP15TfLiteAddParamsPKNS2_6OpDataEPK12TfLiteTensorSG_PSE_
00000000005ad2f0  w   DF .text	00000000000003ed  VERS_1.0    _ZN6tflite3ops7builtin15sparse_to_dense17SparseToDenseImplIaiEE12TfLiteStatusP13TfLiteContextP10TfLiteNode
000000000058ea70 g    DF .text	000000000000009e  VERS_1.0    _ZN6tflite3ops7builtin7reshape4EvalEP13TfLiteContextP10TfLiteNode
00000000004c1bb0 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin21Register_LOGISTIC_REFEv
0000000000577b50  w   DF .text	0000000000000427  VERS_1.0    _ZN6tflite13reference_ops7PadImplIffEEvRKNS_9PadParamsERKNS_12RuntimeShapeEPKT_PKT0_S7_PS8_
000000000061cae0 g    DF .text	0000000000000069  VERS_1.0    _ZN6tflite18QuantizeMultiplierEdPiS0_
0000000000543d20 g    DF .text	000000000000000a  VERS_1.0    _ZN6tflite3ops7builtin24Register_FULLY_CONNECTEDEv
0000000000551450 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin15Register_GATHEREv
00000000005fe1d0 g    DF .text	000000000000045b  VERS_1.0    _ZN6tflite18InterpreterBuilder12ParseTensorsEPKN11flatbuffers6VectorINS1_6OffsetINS_6BufferEEEEEPKNS2_INS3_INS_6TensorEEEEEPNS_8SubgraphE
00000000005ef230 g    DF .text	00000000000002d4  VERS_1.0    _ZN6tflite17CpuBackendContextD1Ev
00000000004d5300  w   DF .text	0000000000000092  VERS_1.0    _ZNSt6vectorIN6tflite12RuntimeShapeESaIS1_EED2Ev
0000000000580850  w   DF .text	00000000000004e1  VERS_1.0    _ZN6tflite3ops7builtin7pooling20MaxEvalQuantizedInt8ILNS2_10KernelTypeE0EEEvP13TfLiteContextP10TfLiteNodeP16TfLitePoolParamsPNS2_6OpDataEPK12TfLiteTensorPSD_
0000000000535220 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin3div4FreeEP13TfLiteContextPv
0000000000587b60  w   DF .text	000000000000000e  VERS_1.0    _ZZN6tflite3ops7builtin6reduce8EvalTypeIaEE12TfLiteStatusP13TfLiteContextP10TfLiteNodePNS2_9OpContextENS2_10ReduceTypeEENUlaaE2_4_FUNEaa
00000000004c7a90 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin3add4FreeEP13TfLiteContextPv
00000000005fd990 g    DF .text	000000000000054a  VERS_1.0    _ZN6tflite18InterpreterBuilder10ParseNodesEPKN11flatbuffers6VectorINS1_6OffsetINS_8OperatorEEEEEPNS_8SubgraphE
0000000000556710  w   DF .text	0000000000000522  VERS_1.0    _ZN6tflite3ops7builtin9gather_nd8GatherNdIliEE12TfLiteStatusPK12TfLiteTensorS7_PS5_
000000000060a880 g    DF .text	0000000000000970  VERS_1.0    _ZN6tflite8delegate5nnapi19NNAPIDelegateKernel16AddOpsAndTensorsEP13TfLiteContext
00000000004f7790  w   DF .text	0000000000000093  VERS_1.0    _ZN6tflite15VectorOfTensorsIfED1Ev
00000000007444d0 g    DF .text	000000000000000e  VERS_1.0    _ZN6tflite9GetStringEPK12TfLiteTensori
00000000004ff5e0 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin38Register_CONVOLUTION_MULTITHREADED_OPTEv
00000000005f44f0 g    DF .text	000000000000010e  VERS_1.0    _ZN6tflite8Subgraph10AddTensorsEiPi
00000000005639f0 g    DF .text	000000000000000a  VERS_1.0    _ZN6tflite3ops7builtin16Register_MAXIMUMEv
00000000005ff9b0  w   DF .text	0000000000000112  VERS_1.0    _ZNSt10_HashtableISt4pairINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEiES0_IKS7_18TfLiteRegistrationESaISA_ENSt8__detail10_Select1stESt8equal_toIS7_EN6tflite18op_resolver_hasher17OperatorKeyHasherIS7_EENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb1EEEE9_M_rehashEmRKm
00000000005d2ce0 g    DF .text	000000000000071a  VERS_1.0    _ZN6tflite3ops7builtin28unidirectional_sequence_lstm7PrepareEP13TfLiteContextP10TfLiteNode
00000000005c75f0 g    DF .text	000000000000023e  VERS_1.0    _ZN6tflite3ops7builtin4svdf4EvalEP13TfLiteContextP10TfLiteNode
000000000053d2b0 g    DF .text	0000000000000126  VERS_1.0    _ZN6tflite3ops7builtin16embedding_lookup10EvalHybridEP13TfLiteContextP10TfLiteNodePK12TfLiteTensorS9_PS7_
0000000000505270  w   DF .text	000000000000052a  VERS_1.0    _ZN6tflite3ops7builtin4conv10EvalHybridILNS2_10KernelTypeE2EEEvP13TfLiteContextP10TfLiteNodeP16TfLiteConvParamsPNS2_6OpDataEP12TfLiteTensorSE_SE_SE_SE_SE_
00000000005e4410 g    DF .text	0000000000000021  VERS_1.0    _ZN6tflite8internal7MfccDctC2Ev
000000000055f8e0  w   DF .text	0000000000000034  VERS_1.0    _ZNSt6vectorIPKN6tflite12RuntimeShapeESaIS3_EE12emplace_backIJS3_EEEvDpOT_
0000000000601c40  w   DF .text	000000000000000b  VERS_1.0    _ZN6tflite8delegate5nnapi14BasicMappingFnILi48EEEiRKNS1_18NNAPIOpMappingArgsE
00000000005ef100 g    DF .text	000000000000000a  VERS_1.0    _ZN6tflite12tensor_utils34VectorVectorCwiseProductAccumulateEPKfS2_iPf
00000000005f2b10 g    DF .text	000000000000000e  VERS_1.0    _ZN6tflite8Subgraph12ResizeTensorEP13TfLiteContextP12TfLiteTensorP14TfLiteIntArray
0000000000576c50 g    DF .text	00000000000002a7  VERS_1.0    _ZN6tflite3ops7builtin3pad7PrepareEP13TfLiteContextP10TfLiteNode
000000000055d6e0  w   DF .text	000000000000005f  VERS_1.0    _ZN6tflite12RuntimeShapeC1ERKS0_
0000000000528710 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin34Register_DEPTHWISE_CONVOLUTION_REFEv
00000000004bc680 g    DF .text	0000000000000049  VERS_1.0    _ZN6tflite3ops7builtin11activations14LogSoftmaxInitEP13TfLiteContextPKcm
0000000000542720 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin15fully_connected4FreeEP13TfLiteContextPv
00000000004c7360  w   DF .text	00000000000006f3  VERS_1.0    _ZN6tflite3ops7builtin11activations8TanhEvalILNS2_10KernelTypeE1EEE12TfLiteStatusP13TfLiteContextP10TfLiteNode
0000000000616550 g    DF .text	0000000000000044  VERS_1.0    _ZN6tflite4flex12DelegateDataC2Ev
00000000005d0e20  w   DF .text	000000000000032c  VERS_1.0    _ZN6tflite3ops7builtin14transpose_conv4EvalILNS2_10KernelTypeE0EEE12TfLiteStatusP13TfLiteContextP10TfLiteNode
000000000053dd10  w   DF .text	00000000000000f4  VERS_1.0    _ZN6tflite3ops7builtin3exp4EvalILNS2_10KernelTypeE0EEE12TfLiteStatusP13TfLiteContextP10TfLiteNode
0000000000588db0  w   DF .text	000000000000000d  VERS_1.0    _ZZN6tflite3ops7builtin6reduce8EvalTypeIfEE12TfLiteStatusP13TfLiteContextP10TfLiteNodePNS2_9OpContextENS2_10ReduceTypeEENKUlffE2_clEff
00000000005ef160 g    DF .text	000000000000000a  VERS_1.0    _ZN6tflite12tensor_utils23VectorBatchVectorAssignEPKfiiPf
00000000004e4f70 g    DF .text	00000000000008d7  VERS_1.0    _ZN6tflite3ops7builtin26bidirectional_sequence_rnn7PrepareEP13TfLiteContextP10TfLiteNode
00000000004e7640 g    DF .text	00000000000000d9  VERS_1.0    _ZN6tflite3ops7builtin4ceil7PrepareEP13TfLiteContextP10TfLiteNode
000000000055d070 g    DF .text	00000000000001ce  VERS_1.0    _ZN6tflite3ops7builtin14lsh_projection6ResizeEP13TfLiteContextP10TfLiteNode
000000000053dc30 g    DF .text	000000000000000d  VERS_1.0    _ZN6tflite3ops7builtin32Register_EMBEDDING_LOOKUP_SPARSEEv
00000000005b9d60 g    DF .text	0000000000000013  VERS_1.0    _ZN6tflite3ops7builtin3sub4InitEP13TfLiteContextPKcm
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```
</div></details>


# ４．Refernce articles

1. **[Select TensorFlow operators to use in TensorFlow Lite](https://www.tensorflow.org/lite/guide/ops_select)**
2. **[Shared library libtensorflowlite.so cannot be found after building from source](https://github.com/tensorflow/tensorflow/issues/33980)**
3. **[TensorFlow Selectとは？ - Vengineerの戯言 - Vengiineerさん](https://vengineer.hatenablog.com/entry/2019/11/11/060000)**