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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)

Last updated at 2019-11-17Posted at 2019-11-14

TensorFlow-ENet　

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)

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 と 【説２】 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。

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。
F tensorflow/core/framework/op.cc:55] Non-OK-status: RegisterAlreadyLocked(op_data_factory) status: Already exists: Op with name Copy pic.twitter.com/x7UJ1C7vDm
— Super PINTO (@PINTO03091) November 9, 2019

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。

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

３−２．Structure of .pb file before conversion (ENet)

semanticsegmentation_enet.pb
PNG Format　SVG Format

３−３．Structure of .tflite file after conversion (ENet)

semanticsegmentation_enet.tflite
PNG Format　SVG Format

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

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

ビルド用ディレクトリへ移動

$ cd ~/tensorflow/tensorflow/lite
$ nano BUILD

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",
    ],
)

Ctrl + O
Ctrl + X

MakeFileの修正

$ nano ~/tensorflow/tensorflow/lite/tools/make/Makefile

NNAPIを無効化

BUILD_WITH_NNAPI=false

Ctrl + O
Ctrl + X

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。。。

libtensorflowlite.so のシンボル参照

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 0000000000571020 w DF .text 00000000000005c4 VERS_1.0 _ZN6tflite13reference_ops18BroadcastMul4DSlowIfEEvRKNS_16ArithmeticParamsERKNS_12RuntimeShapeEPKT_S7_SA_S7_PS8_ 0000000000588de0 w DF .text 000000000000000d VERS_1.0 _ZZN6tflite3ops7builtin6reduce8EvalTypeIiEE12TfLiteStatusP13TfLiteContextP10TfLiteNodePNS2_9OpContextENS2_10ReduceTypeEENKUliiE1_clEii 00000000004f7830 w DF .text 0000000000000093 VERS_1.0 _ZN6tflite15VectorOfTensorsIiED1Ev 0000000000601c30 w DF .text 000000000000000b VERS_1.0 _ZN6tflite8delegate5nnapi14BasicMappingFnILi54EEEiRKNS1_18NNAPIOpMappingArgsE 00000000005f11a0 g DF .text 0000000000000056 VERS_1.0 _ZN6tflite12tensor_utils28PortableVectorBatchVectorAddEPKfiiPf 00000000005ba390 g DF .text 000000000000000d VERS_1.0 _ZN6tflite3ops7builtin21Register_SUB_NEON_OPTEv 0000000000569820 g DF .text 0000000000000563 VERS_1.0 _ZN6tflite3ops7builtin10mirror_pad4EvalEP13TfLiteContextP10TfLiteNode 00000000005f4060 g DF .text 0000000000000172 VERS_1.0 _ZN6tflite8Subgraph16UndoAllDelegatesEv 000000000057fdf0 w DF .text 0000000000000089 VERS_1.0 _ZN6tflite3ops7builtin7pooling11AverageEvalILNS2_10KernelTypeE0EEE12TfLiteStatusP13TfLiteContextP10TfLiteNode 0000000000563eb0 w DF .text 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４．Refernce articles

Select TensorFlow operators to use in TensorFlow Lite

Shared library libtensorflowlite.so cannot be found after building from source

TensorFlow Selectとは？ - Vengineerの戯言 - Vengiineerさん

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