tensorflowlite.dll is huge (compared to other platforms)
It looks like you're facing a build/installation issue related to TensorFlow. The problem you're describing is about the size of the statically linked binary when compiling TensorFlow Lite for Windows.

The issue seems to be regarding the size of the compiled `tensorflowlite.dll` binary, which is significantly larger on Windows compared to other platforms. This is causing a 5x increase in size, which is unexpected and might be impacting the overall application size.

Here are a few steps you could consider to investigate and potentially address the issue:

1. **Debug Symbols**: Check if the compiled `tensorflowlite.dll` binary includes debug symbols. Debug symbols can significantly increase the size of the binary. Ensure that you're building with optimizations (`-c opt`) and without debug symbols if size is a concern.

2. **Linker Flags**: Review the linker flags and options used during the build process. Sometimes, specific linker flags can lead to larger binary sizes. Ensure that you're using appropriate linker flags for size optimization.

3. **Compiler Flags**: Review the compiler flags used during the build process. Certain compiler flags might result in larger code size. Make sure you're using flags that encourage size optimization.

4. **Unused Code Elimination**: Ensure that unused code elimination is enabled during the compilation process. Unused code can contribute to the binary size. You can explore options like "tree shaking" to remove unused code.

5. **Platform Differences**: Windows might have some inherent differences in how it compiles and links binaries compared to other platforms. Check if there are specific platform-related factors that might be contributing to the larger binary size.

6. **Build Configuration**: Make sure you're building the TensorFlow Lite library using the appropriate configuration for Windows. Different build configurations can affect the size and behavior of the generated binary.

7. **Dependency Management**: Check if there are any unnecessary or redundant dependencies being linked into the binary. Removing unused dependencies can help reduce the size.

8. **Compiler Version**: Sometimes, using different compiler versions can result in different binary sizes. You might want to try different versions of MSVC and see if it affects the size.

9. **TensorFlow Versions**: The issue might be specific to the version of TensorFlow you're using. Consider trying different TensorFlow versions to see if the problem persists or if it's resolved in a newer version.

Since this issue seems to be related to the internal build process of TensorFlow Lite and the specific platform (Windows), it might be beneficial to engage with the TensorFlow community directly. You can post your issue on the TensorFlow GitHub repository, following their guidelines for reporting build/installation issues. This way, the developers and maintainers of TensorFlow will be able to provide you with more targeted assistance and solutions. @nnolas27 it looks like you copied the issue into chatgpt and posted the answer. Why?
Opened on behalf of @sztomi, Issue is current as of this writing. Previous Issue: https://github.com/tensorflow/tensorflow/issues/48118

*Please make sure that this is a build/installation issue. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:build_template*

#### System information

* OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10
* TensorFlow installed from (source or binary): Source
* TensorFlow version: https://github.com/tensorflow/tensorflow/commit/5d6cc7bf97a226c1e6a73ad4fc391c154dd622ac
* Python version: n/a
* Installed using virtualenv? pip? conda?: n/a
* Bazel version (if compiling from source): 3.7.2
* GCC/Compiler version (if compiling from source): MSVC 2019 (cl: 19.28.29334)
* CUDA/cuDNN version: n/a
* GPU model and memory: n/a

#### Describe the problem

#### Provide the exact sequence of commands / steps that you executed before running into the problem
```
bazel build -c opt //tensorflow/lite/tensorflowlite.dll
```
This yields a 15MB statically linked binary when compiled for 32-bit windows (i.e. the 64-bit version will be even larger). Compared to other platforms, this is a 5x increase that is difficult to explain, especially in lieu of tools like bloaty on Windows. Unfortunately I don't know where to start poking this at all - but I do believe that even accounting for platform differences, a 5x size difference is unexpected. The same issue was noted here: https://github.com/tensorflow/tensorflow/issues/33634#issuecomment-620645664 (with a suggestion to use the C API instead, but the C API is a binding that cannot be used independent from the C++ binary).

#### Any other info / logs
Let me know if I can include any more info.