从tensorflow打印输出时出现问题，具体到C api

Question

我目前正在尝试将我生成的TysFooFrm模型转换成Python保存到与C++兼容的东西，除了该模型与Python版本的不同，我的模型运行成功。p>

int main()
{
    float data[1][3][3][3][15];
    //********* Read model
    TF_Graph* Graph = TF_NewGraph();
    TF_Status* Status = TF_NewStatus();

    TF_SessionOptions* SessionOpts = TF_NewSessionOptions();
    TF_Buffer* RunOpts = NULL;

    const char* saved_model_dir = "C:/Users/Tom/Desktop/Syngas_neural_network";
    const char* tags = "serve"; // default model serving tag; can change in future
    int ntags = 1;

    TF_Session* Session = TF_LoadSessionFromSavedModel(SessionOpts, RunOpts, saved_model_dir, &tags, ntags, Graph, NULL, Status);
    if (TF_GetCode(Status) == TF_OK)
    {
        printf("TF_LoadSessionFromSavedModel OK\n");
    }
    else
    {
        printf("%s", TF_Message(Status));
    }

    //****** Get input tensor
    //TODO : need to use saved_model_cli to read saved_model arch
    int NumInputs = 1;
    TF_Output* Input = (TF_Output*)malloc(sizeof(TF_Output) * NumInputs);

    TF_Output t0 = { TF_GraphOperationByName(Graph, "serving_default_conv3d_15_input"), 0 };
    if (t0.oper == NULL)
        printf("ERROR: Failed TF_GraphOperationByName serving_default_input_1\n");
    else
        printf("TF_GraphOperationByName serving_default_input_1 is OK\n");

    Input[0] = t0;

    //********* Get Output tensor
    int NumOutputs = 1;
    TF_Output* Output = (TF_Output*)malloc(sizeof(TF_Output) * NumOutputs);

    TF_Output t2 = { TF_GraphOperationByName(Graph, "StatefulPartitionedCall"), 0 };
    if (t2.oper == NULL)
        printf("ERROR: Failed TF_GraphOperationByName StatefulPartitionedCall\n");
    else
        printf("TF_GraphOperationByName StatefulPartitionedCall is OK\n");

    Output[0] = t2;

    //********* Allocate data for inputs & outputs
    TF_Tensor** InputValues = (TF_Tensor**)malloc(sizeof(TF_Tensor*)*NumInputs);
    TF_Tensor** OutputValues = (TF_Tensor**)malloc(sizeof(TF_Tensor*)*NumOutputs);

    int ndims = 5;
    int64_t dims[] = { 1,3,3,3,15 };
    int ndata = sizeof(float) * 1 * 3 * 3 * 3 * 15;// This is tricky, it number of bytes not number of element

    int out_ndims = 2;
    int64_t out_dims [] = { 1,15 };
    int out_ndata = sizeof(float) * 1  * 15;

    TF_Tensor* int_tensor = TF_NewTensor(TF_FLOAT, dims, ndims, data, ndata, &NoOpDeallocator, 0);
    TF_Tensor* out_tensor = TF_AllocateTensor(TF_FLOAT, out_dims, out_ndims, out_ndata);
    if (int_tensor != NULL)
    {
        printf("TF_NewTensor is OK\n");
    }
    else
        printf("ERROR: Failed TF_NewTensor\n");

    InputValues[0] = int_tensor;
    OutputValues[0] = out_tensor;

    // //Run the Session
    TF_SessionRun(Session, NULL, Input, InputValues, NumInputs, Output, OutputValues, NumOutputs, NULL, 0, NULL, Status);

    if (TF_GetCode(Status) == TF_OK)
    {
        printf("Session is OK\n");
    }
    else
    {
        printf("%s", TF_Message(Status));
    }

    // //Free memory
    TF_DeleteGraph(Graph);
    TF_DeleteSession(Session, Status);
    TF_DeleteSessionOptions(SessionOpts);
    TF_DeleteStatus(Status);


    void* buff = TF_TensorData(OutputValues[0]);
    float* offsets = (float*)buff;
    printf("Result Tensor :\n");
    for (int i = 0; i<15; i++)
    {
        printf("%f\n", offsets[i]); // not sure if should be &
    }

    system("pause");
}

我试图用一个初始化为float的零数组（初始化在第3行）运行代码，我在python中的输出是一个15个float32的数组，它们都小于1

2.091127634048461914e-02    -1.615172624588012695e-02   -1.822745800018310547e-02   -1.710012555122375488e-02   -1.535907387733459473e-02   -1.523724198341369629e-02   1.263055205345153809e-02    1.584252715110778809e-02    -1.479363441467285156e-02   -1.776772737503051758e-02   1.312178373336791992e-02    1.684901118278503418e-02    1.728761196136474609e-02    -1.410549879074096680e-02   -1.425114274024963379e-02

上面的数字是Python中MDOEL所生成的NUMPY数组，下面的数字是C++代码的输出。p>

Result Tensor :
5568243.000000
524631.625000
-3114723.500000
-2831625.500000
-934582.812500
-3011815.500000
-3105331.750000
965934.312500
2041.866211
-3588635.500000
-4056957.000000
157006.296875
870158.000000
4255018.000000
3537240.750000

很抱歉问了这么长的问题，我不想错过任何有用的信息，如果有人知道为什么我的输出如此不同，我将非常感谢您的帮助

Answer 1

刚意识到我的数组初始化是错误的。我通过将第3行替换为

float data[1][3][3][3][15]{};