sm-ak-r33 commented 4 months ago

It creates xlstm cuda and then cd xLSTM does not work.

When I try to redirect it using PS C:\Users\b-skarim\Desktop\repos_xlstm\xlstm-cuda> cd python\xlstm PS C:\Users\b-skarim\Desktop\repos_xlstm\xlstm-cuda\python\xlstm> mkdir build it does work but then it misses out the cmake file,

when I redirect it to the cmakelist file again, then I have the following issue

CMake Warning: Ignoring extra path from command line:

".."

CMake Error: The source directory "C:/Users/b-skarim/Desktop/repos_xlstm/xlstm-cuda/python/xlstm" does not appear to contain CMakeLists.txt. Specify --help for usage, or press the help button on the CMake GUI. PS C:\Users\b-skarim\Desktop\repos_xlstm\xlstm-cuda\python\xlstm\build> cmake .. -- Building for: NMake Makefiles CMake Error at CMakeLists.txt:2 (project): Running

'nmake' '-?'

failed with:

no such file or directory

CMake Error: CMAKE_C_COMPILER not set, after EnableLanguage CMake Error: CMAKE_CXX_COMPILER not set, after EnableLanguage -- Configuring incomplete, errors occurred!

codeautopilot[bot] commented 4 months ago

Potential solution

The primary issue causing the user's setup problems is the empty CMakeLists.txt file in the python/xlstm directory. This file is crucial for configuring the build process using CMake. Additionally, the README.md file lacks detailed instructions for setting up the project, which leads to confusion during the setup process.

To resolve these issues, we need to:

Populate the CMakeLists.txt file with the necessary configuration.
Update the README.md file to provide clear and detailed setup instructions.

What is causing this bug?

The bug is caused by an empty CMakeLists.txt file, which results in CMake errors related to missing configurations and compilers. Additionally, the README.md file does not provide sufficient instructions for navigating directories and running CMake commands, leading to user confusion and setup failures.

Code

CMakeLists.txt

Here is a basic template for the CMakeLists.txt file to get started:

cmake_minimum_required(VERSION 3.10)

# Set the project name
project(xLSTM)

# Specify the C++ standard
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED True)

# Add source files
set(SOURCE_FILES
    src/main.cpp
    src/other_source_file.cpp
    # Add other source files here
)

# Include directories
include_directories(include)

# Add the executable
add_executable(xLSTM ${SOURCE_FILES})

# Find required packages
find_package(CUDA REQUIRED)

# Link libraries
target_link_libraries(xLSTM ${CUDA_LIBRARIES})

README.md

Here is an updated version of the relevant sections of the README.md file with more detailed setup instructions:

## Installation

1. Clone the repository:

    ```shell
    git clone https://github.com/smvorwerk/xlstm-cuda.git
    cd xlstm-cuda

Navigate to the python/xlstm directory:
```
cd python/xlstm
```
Create a build directory and navigate into it:
```
mkdir build
cd build
```
Run CMake to configure the project:
```
cmake ..
```
Note: If you encounter errors related to missing compilers, ensure that you have a C++14 compiler and the CUDA toolkit installed. You can specify the compilers explicitly by setting the CMAKE_C_COMPILER and CMAKE_CXX_COMPILER variables:
```
cmake -DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++ ..
```
Build the project:
```
make
```

Install the Python package:

cd ../../..
cd python
python setup.py install

Troubleshooting

CMake Errors: If you encounter errors during the CMake configuration, ensure that you have the required version of CMake (3.8 or higher) and that your environment variables are set correctly.
Compiler Errors: Ensure that you have a C++14 compatible compiler installed. You can check your compiler version with gcc --version or g++ --version.
CUDA Toolkit: Ensure that the CUDA toolkit is installed and that the nvcc compiler is available in your PATH. You can check this with nvcc --version.

How to replicate the bug

Clone the repository:

git clone https://github.com/smvorwerk/xlstm-cuda.git
cd xlstm-cuda

Navigate to the python/xlstm directory:
```
cd python/xlstm
```
Create a build directory and navigate into it:
```
mkdir build
cd build
```
Run CMake to configure the project:
```
cmake ..
```

You will encounter errors related to missing configurations and compilers because the CMakeLists.txt file is empty.

Conclusion

The empty CMakeLists.txt file is the root cause of the build issues described in the user's ticket. By populating this file with the appropriate configuration and updating the README.md file with detailed setup instructions, the build process can be correctly set up, resolving the errors related to missing compilers and configurations.

Click here to create a Pull Request with the proposed solution

Files used for this task:

Changes on python/xlstm/CMakeLists.txt

# Analysis Report for `python/xlstm/CMakeLists.txt` ## Overview The `CMakeLists.txt` file in the `python/xlstm` directory is currently empty. This file is crucial for configuring the build process using CMake, which is a cross-platform build system. The absence of content in this file is likely the primary cause of the issues described in the user's ticket. ## Identified Issues 1. **Empty CMakeLists.txt File**: The file is completely empty, which means there are no instructions for CMake to follow. This is why the user is encountering errors related to missing configurations and compilers. 2. **CMake Errors**: The errors reported by the user (`CMAKE_C_COMPILER not set`, `CMAKE_CXX_COMPILER not set`, etc.) are indicative of a missing or incomplete CMake configuration. ## Recommendations To resolve the issues, the `CMakeLists.txt` file needs to be populated with the necessary configuration. Below is a basic template that can be used to get started: ### Sample CMakeLists.txt ```cmake cmake_minimum_required(VERSION 3.10) # Set the project name project(xLSTM) # Specify the C++ standard set(CMAKE_CXX_STANDARD 11) set(CMAKE_CXX_STANDARD_REQUIRED True) # Add source files set(SOURCE_FILES src/main.cpp src/other_source_file.cpp # Add other source files here ) # Include directories include_directories(include) # Add the executable add_executable(xLSTM ${SOURCE_FILES}) # Find required packages find_package(CUDA REQUIRED) # Link libraries target_link_libraries(xLSTM ${CUDA_LIBRARIES}) ``` ### Steps to Implement 1. **Create Source and Include Directories**: Ensure that the `src` and `include` directories exist and contain the necessary source and header files. 2. **Update Source Files List**: Modify the `SOURCE_FILES` variable to include all the relevant source files for the project. 3. **Include Directories**: Ensure that the `include_directories` command points to the correct directories containing header files. 4. **Link Libraries**: Adjust the `target_link_libraries` command to link any additional libraries required by the project. ## Conclusion The empty `CMakeLists.txt` file is the root cause of the build issues described in the user's ticket. By populating this file with the appropriate configuration, the build process can be correctly set up, resolving the errors related to missing compilers and configurations.

Changes on README.md

## Analysis of README.md The `README.md` file provides an overview of the xLSTM project, including its features, requirements, installation instructions, usage examples, citation information, license, and directory structure. However, the user is experiencing issues with setting up the project, specifically with navigating directories and running CMake commands. ### Potential Issues Identified 1. **Directory Navigation**: - The user mentions issues with navigating to the correct directory (`cd xLSTM` does not work). This could be due to incorrect directory names or paths in the instructions. 2. **CMake Configuration**: - The user encounters errors when running `cmake ..` in the `build` directory. This suggests that the CMake configuration might be incorrect or incomplete. 3. **Compiler Configuration**: - Errors related to `CMAKE_C_COMPILER` and `CMAKE_CXX_COMPILER` not being set indicate that the necessary compilers are not configured correctly. ### Recommendations for README.md Updates 1. **Clarify Directory Navigation**: - Ensure that the directory names and paths in the instructions are correct and match the actual structure of the repository. 2. **Detailed CMake Instructions**: - Provide more detailed instructions on how to run CMake, including any necessary environment setup and troubleshooting steps. 3. **Compiler Configuration**: - Include instructions on how to ensure that the necessary compilers (C and C++) are installed and configured correctly. ### Updated README.md Below is an updated version of the relevant sections of the `README.md` file with more detailed setup instructions: ```markdown ## Installation 1. Clone the repository: ```shell git clone https://github.com/smvorwerk/xlstm-cuda.git cd xlstm-cuda ``` 2. Navigate to the `python/xlstm` directory: ```shell cd python/xlstm ``` 3. Create a build directory and navigate into it: ```shell mkdir build cd build ``` 4. Run CMake to configure the project: ```shell cmake .. ``` **Note**: If you encounter errors related to missing compilers, ensure that you have a C++14 compiler and the CUDA toolkit installed. You can specify the compilers explicitly by setting the `CMAKE_C_COMPILER` and `CMAKE_CXX_COMPILER` variables: ```shell cmake -DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++ .. ``` 5. Build the project: ```shell make ``` 6. Install the Python package: ```shell cd ../../.. cd python python setup.py install ``` ## Troubleshooting - **CMake Errors**: If you encounter errors during the CMake configuration, ensure that you have the required version of CMake (3.8 or higher) and that your environment variables are set correctly. - **Compiler Errors**: Ensure that you have a C++14 compatible compiler installed. You can check your compiler version with `gcc --version` or `g++ --version`. - **CUDA Toolkit**: Ensure that the CUDA toolkit is installed and that the `nvcc` compiler is available in your PATH. You can check this with `nvcc --version`. ``` ### Conclusion The `README.md` file should be updated to include more detailed setup instructions, especially focusing on directory navigation, running CMake, and ensuring that the necessary compilers are installed and configured. This should help users avoid common setup issues and successfully build and install the project.

koolvn commented 3 months ago

+1 I've used nvidia/cuda:12.2.2-devel-ubuntu22.04 docker image. It didn't build. Then I've compiled from source C++14 and that made the installation fail as nvcc works with C++12 and below I have little experience with cmake and all this c stuff but your README is definitely not enough. Please include a Dockerfile at least or push a docker image at best

smvorwerk / xlstm-cuda

I am totally not being able to set this up #1