Error during excecution of "Hello World" tensorflow application on windows

General Discussion
,
#1

I have the following simple application:

#include <stdio.h>
#include <tensorflow/c/c_api.h>

int main() {
  printf("Hello from TensorFlow C library version %s\n", TF_Version());
  return 0;
}

But when I try to run the executable on windows, windows alerts: “The application was unable to start correctly. Click ok to close the application.”

I’m using the GPU-Version 2.10.0 of the tensorflow libary. I’m using gcc to build my project:

gcc -fdiagnostics-color=always -g C:\path\to\my\project\**.c -o C:\path\to\my\project\bin\executable.exe -I C:\path\to\my\project\include -L C:\path\to\my\project\bin -l tensorflow

I tried to use g++ instead of gcc, but that doesn’t work.

#3

It seems like you’re encountering an issue with running the TensorFlow C API application on Windows. The error message “The application was unable to start correctly” typically indicates a problem with the application’s dependencies or runtime environment.

Here are a few steps you can take to troubleshoot and resolve the issue:

  • Check TensorFlow Library Installation: Ensure that you have installed the TensorFlow library correctly, including all necessary dependencies. Make sure that the library files (including DLLs) are located in the specified library directory (C:\path\to\my\project\bin).

  • Verify Compiler and Linker Options: Double-check the compiler and linker options used to build the application. Ensure that the TensorFlow library is linked correctly and that the necessary include directories are specified.

  • Check TensorFlow GPU Compatibility: If you’re using the GPU version of TensorFlow, ensure that your system meets the requirements for GPU acceleration. Verify that your GPU drivers are up-to-date and compatible with the TensorFlow version you’re using.

  • Run Dependency Walker: Use a tool like Dependency Walker to analyze the executable and identify any missing dependencies or DLL issues. Dependency Walker will help you identify which DLLs are required by your application and whether they are correctly resolved.

  • Debugging: Try running the application in a debugger (e.g., gdb for GCC) to get more detailed information about the error. This can help you pinpoint the exact cause of the problem and identify any runtime issues.

  • Check TensorFlow Version Compatibility: Ensure that the version of TensorFlow you’re using is compatible with your system and compiler. It’s possible that there may be compatibility issues between the TensorFlow version and your compiler or system configuration.

  • Try a Minimal Example: If possible, try running a minimal example without TensorFlow to verify that your compiler and build setup are working correctly. Once you have confirmed that the basic setup is functioning, gradually add TensorFlow-related code and dependencies to isolate the issue.

By following these steps and carefully verifying your setup, you should be able to identify and resolve the issue preventing your TensorFlow C API application from running on Windows. If you continue to encounter problems, consider seeking assistance from the TensorFlow community or consulting the TensorFlow documentation for further guidance.

Here’s your code formatted for readability:

#include <stdio.h>
#include <tensorflow/c/c_api.h>

int main() {
    printf("Hello from TensorFlow C library version %s\n", TF_Version());
    return 0;
}

This code looks fine syntactically. The issue you’re encountering seems to be related to the execution environment or Kroger survey sweepstakes dependencies rather than the code itself. Make sure you’ve followed the steps outlined in the previous response to troubleshoot and resolve the issue. If you need further assistance, feel free to ask!