OpKernelは登録されていません。これらのattrsをAndroidで使用するには、OpKernelは登録されていません。

Question

I hava lookモバイルと埋め込みTensorFlow（TensorFlow Dev Summit 2017）のビデオはyotubeで、ここにはvideo linkです。

ビデオでは、テンソルフローを減らしてファイルサイズをAndroid上で減らす機能を学びました。

が、私はここで行う* .pbファイルは自分自身をある

"""Prints a header file to be used with SELECTIVE_REGISTRATION. 

Example usage: 
print_selective_registration_header \ 
--graphs=path/to/graph.pb > ops_to_register.h 

Then when compiling tensorflow, include ops_to_register.h in the  include 
search path and pass -DSELECTIVE_REGISTRATION - see 
core/framework/selective_registration.h for more details. 
""" 

、その後、私はtensorflowにops_to_register.h入れ、ここ

#ifndef OPS_TO_REGISTER 
    #define OPS_TO_REGISTER 
    constexpr inline bool ShouldRegisterOp(const char op[]) { 
     return false 
    || (strcmp(op, "Add") == 0) 
    || (strcmp(op, "Const") == 0) 
    || (strcmp(op, "Conv2D") == 0) 
    || (strcmp(op, "Exp") == 0) 
    || (strcmp(op, "Identity") == 0) 
    || (strcmp(op, "Max") == 0) 
    || (strcmp(op, "MaxPool") == 0) 
    || (strcmp(op, "NoOp") == 0) 
    || (strcmp(op, "Placeholder") == 0) 
    || (strcmp(op, "RealDiv") == 0) 
    || (strcmp(op, "Relu") == 0) 
    || (strcmp(op, "Reshape") == 0) 
    || (strcmp(op, "Sub") == 0) 
    || (strcmp(op, "Sum") == 0) 
    || (strcmp(op, "_Recv") == 0) 
    || (strcmp(op, "_Send") == 0) 
    ; 
    } 
    #define SHOULD_REGISTER_OP(op) ShouldRegisterOp(op) 

    const char kNecessaryOpKernelClasses[] = "," 
"BinaryOp< CPUDevice, functor::add<float>>," 
"ConstantOp," 
"Conv2DOp<CPUDevice, float>," 
"UnaryOp< CPUDevice, functor::exp<float>>," 
    "IdentityOp," 
"ReductionOp<CPUDevice, float, Eigen::internal::MaxReducer<float>>," 
"MaxPoolingOp<CPUDevice, float>," 
"NoOp," 
    "PlaceholderOp," 
"BinaryOp< CPUDevice, functor::div<float>>," 
    "ReluOp<CPUDevice, float>," 
"ReshapeOp," 
"BinaryOp< CPUDevice, functor::sub<float>>," 
"ReductionOp<CPUDevice, float, Eigen::internal::SumReducer<float>>," 
"RecvOp," 
"SendOp," 
; 
#define SHOULD_REGISTER_OP_KERNEL(clz)    (strstr(kNecessaryOpKernelClasses, "," clz ",") != nullptr) 

#define SHOULD_REGISTER_OP_GRADIENT false 
#endif 

をops_to_register.hファイルを取得/ tensorflow /コア/フレームワークのdir、私はSELECTIVE_REGISTRATIONをselective_registration.hで定義します。

その後、私は私の.pbモデルを実行しますが、失敗した情報取得libtensorflow_inference.so使用し、Androidのプロジェクトで

bazel build -c opt //tensorflow/contrib/android:libtensorflow_inference.so --crosstool_top=//external:android/crosstool --host_crosstool_top=@bazel_tools//tools/cpp:toolchain --cpu=armeabi-v7a --verbose_failures 

を実行します。tesorflowブランチでいくつかの問題beacuseこのエラーを

native: tensorflow_inference_jni.cc:145 Could not create TensorFlow graph: Invalid argument: No OpKernel was registered to support Op 'Add' with these attrs. Registered devices: [CPU], Registered kernels: 
                 <no registered kernels> 

                 [[Node: add_1 = Add[T=DT_FLOAT](Conv2D, Reshape)]] 

Answer 1

をいくつかのエラーを持って、問題を解決するのは簡単です。

BinaryOp< CPUDevice, functor::div<float>> change to BinaryOp<CPUDevice, functor::div<float>>, the change is no space。