我已经使用CMake构建了TensorFlow C++ for Windows，并且可以运行一些示例。但是，当我尝试对模型执行预测时，我收到以下错误消息：
执行程序无法创建内核。参数无效：NodeDef提到不在Op中的属性
和
检查GraphDef-interpreting二进制文件是否与GraphDef-generating二进制文件同步更新。
我已经使用Keras和tf 1.5训练了我的模型。该模型使用adam作为优化器，是一个基于ResNet 50的简单模型。我使用this脚本将Keras模型转换为TensorFlow，它在Python的TensorFlow上运行正常。
有什么想法吗？
以下是完整日志：

2018-02-23 08:32:39.588610: E C:\Visual Studio 2015\Projects\tensorflow\tensorflow\core\common_runtime\executor.cc:643] Executor failed to create kernel. Invalid argument: NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: conv1/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](zeropadding2d_1/Pad, conv1/kernel). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
         [[Node: conv1/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](zeropadding2d_1/Pad, conv1/kernel)]]
2018-02-23 08:32:39.637876: E matmul.cpp:357] Running model failed: Invalid argument: NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: conv1/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](zeropadding2d_1/Pad, conv1/kernel). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
         [[Node: conv1/convolution = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](zeropadding2d_1/Pad, conv1/kernel)]]

我使用的是Windows 10 x64操作系统，并使用CMake和Visual Studio 2015构建了TensorFlow。
谢谢你！