Hello, I am acode review agent onflows.network. Here are my reviews of changed source code files in this PR.
Potential issuesN/A Summary of changesN/A Potential issues- Issue: The CMake script attempts to determine the git version, but it assumes that the
git command is not found and the .git folder does not exist. This could lead to incorrect versioning if the conditions are not met. - Issue: The CMake script sets the default build type to RelWithDebInfo without checking if this is a valid option for the current system or compiler. This might cause unexpected behavior on some systems.
- Issue: The CMake script does not handle errors properly when trying to find and link against gRPC, protobuf, and other libraries required for building WASI-NN RPC. If these libraries are not found, it will silently disable the feature, which could lead to runtime errors or unexpected behavior.
Summary of changesCMake Build Type: The default CMake build type is set to "RelWithDebInfo" if not specified by the user. Version Information: The script now reads version information from a VERSION file in the project directory, overwriting any previously set version information. Plugin System Changes: The plugin system has been significantly updated and expanded. New plugins include wasi-crypto, wasi-http, wasm-bpf, ffmpeg, image, LLM, OCR, opencvmini, process, stable-diffusion, TensorFlow, TensorFlow-Lite, and zlib. Each plugin now has options to enable/disable building and bundling into libwasmedge. This change also introduces a new mechanism for handling plug-ins that are not yet ready for the new system in version 0.15.0 (e.g., wasi-logging).
Potential issues- The code does not handle the case where CMAKE_CXX_COMPILER_ID is neither "Clang" nor "GNU". This could lead to undefined behavior or compilation errors.
- The function wasmedge_add_plugin does not check if the BUNDLE argument is provided but SOURCES is not. This could cause unexpected results or errors during the build process.
- The code assumes that LLVM is available and its version is less than or equal to 15. If LLVM is not installed or its version is greater than 15, the code will fail to compile or link.
Summary of changes- Added CMake build configurations for WasmEdge, including options to enable or disable LTO and interprocedural optimization.
- Introduced new helper functions for setting up targets, adding libraries, executables, and plugins in the project.
- Enhanced the dependency setup by adding helpers for simdjson and spdlog, which are now fetched if not found during the build process.
Potential issuesThewasmedge_setup_tf_variables function does not handle the case when the system is neither Android, Apple, nor UNIX. This could lead to a fatal error as no actions are taken for unsupported systems. In thewasmedge_setup_tflite_lib andwasmedge_setup_tf_lib functions, the variableWASMEDGE_TENSORFLOW_SYSTEM_NAME is not defined when the system is Android. This could cause a reference error as these variables are used in the URL for fetching the TensorFlow library. Thewasmedge_setup_piper function uses a hardcoded Git tag for fetching the Piper source code. This might lead to issues if the repository changes and the specified tag becomes invalid or unavailable. It would be better to use a more flexible method, such as a branch name or a version number, to ensure that the latest stable version is always fetched.
Summary of changesRemoval of FetchContent inclusion: The most significant change is the removal of the "include(FetchContent)" line from the top and bottom of the file. This might indicate a streamlining of the project's dependency management system. Default Version for WASMEDGE_DEPS_VERSION: If the variable WASMEDGE_DEPS_VERSION is not already set, it will be set to "TF-2.12.0-CC". This change introduces a default version for this dependency. Removal of FetchContent in wasmedge_setup_piper function: Inside the wasmedge_setup_piper function, there's also been a removal of the "include(FetchContent)" line. This could be another step towards simplifying the project's build system or making it more modular.
Potential issues- The
wasmedge_add_library function is not a standard CMake command, so it might cause errors or unexpected behavior if it's not defined elsewhere in the project. - In the
wasmedge_add_static_lib_component_command andwasmedge_add_libs_component_command functions, the use of${CMAKE_AR} to extract archive files might not be portable across different systems or environments since it relies on the specific behavior of the system's default archiver. - The
wasmedge_static_target custom target and the subsequent creation of an imported static librarywasmedge_static is not a standard way to create a static library in CMake, which might lead to confusion or errors when building or linking against this library. It's recommended to useadd_library(STATIC ...) to create a static library and then usetarget_link_libraries to link it with other targets as needed.
Summary of changes- Removed an empty line in the conditional block for building a shared library, which improves code readability and cleanliness.
- Added three new components (spdlog::spdlog, wasmedgeSystem, wasmedgeCommon) to the static library build command list. This change likely adds additional functionality or dependencies to the project when building as a static library.
- The removal of an empty line and addition of new components in the static library build command block are the most significant changes as they impact both code organization and potential functional enhancements.
Potential issues- The WASI plug-in for logging is not currently implemented as indicated by the TODO comment.
- Inconsistent naming convention: Some plugins are named using underscores (e.g., wasi_crypto, wasmedge_ffmpeg), while others use camel case (e.g., WasmEdge_Image).
- Lack of error handling or fallback mechanism for unsupported platforms in some plug-ins: For example, the warning messages are printed but no alternative actions are taken if a plugin is not supported on the current platform.
Summary of changes- Added support for new WASI plugins:
- WASI-Crypto
- WASI-Http
- WASI-Logging (currently moved from another location)
- WASI-NN with backends and the BURNRS model
- WASI-Poll
- Added support for new WasmEdge plugins:
- wasm_bpf (only supported on Linux systems)
- ffmpeg
- LLM
- Added support for new third-party libraries in existing plugins:
- Removed or moved some sections of code related to deprecated or no longer used features, such as the TensorFlow and TensorFlowLite plugins being moved to WasmEdge plugins.
Potential issuesIssue: The OpenSSL version compatibility is hardcoded to a specific version (0x10100000L). This could potentially lead to runtime errors or unexpected behavior if the system's installed OpenSSL version is different from this one. A more flexible approach, such as checking the OpenSSL version at runtime and handling it appropriately, would be better. Issue: The code does not handle any potential errors that might occur during the execution offind_package(OpenSSL REQUIRED). If OpenSSL is not found on the system, the build will fail immediately without any user-friendly error message. It would be beneficial to add some error handling or informative messages in such cases. Issue: The code does not seem to handle any potential thread safety issues that might arise from using OpenSSL's APIs in a multi-threaded environment. Since OpenSSL is not thread-safe by default, additional measures should be taken to ensure thread safety when using its functions concurrently.
Summary of changes- The function
wasmedge_add_library has been replaced withwasmedge_add_plugin, and a new lineBUNDLE ${WASMEDGE_BUNDLE_PLUGIN_WASI_CRYPTO} has been added to specify the plugin bundle. - The compile option
-DWASMEDGE_PLUGIN has been removed from the list of target compile options forwasmedgePluginWasiCrypto. - The section that conditionally links
wasmedgePluginWasiCrypto with eitherwasmedgeCAPI orwasmedge_shared based on the value ofWASMEDGE_LINK_PLUGINS_STATIC has been removed, which simplifies the build configuration.
Potential issuesTheFetchContent_Declare andFetchContent_MakeAvailable statements are missing a closing parenthesis at the end of each line. In thetarget_link_libraries statement, it's not clear if "cpr::cpr" is a valid library target. It should be verified that this target exists and is correctly spelled. Theinstall command does not specify any FILES or DIRECTORIES to install. This could lead to unnecessary or missing files being installed, depending on the project's requirements.
Summary of changes- The plugin name has been changed from
wasmedgePluginWasiHttp towasmedge_add_plugin. - The build system has been updated to use the new
FetchContent_Declare andFetchContent_MakeAvailable commands for managing dependencies, specifically the 'cpr' library. - The plugin is now defined as a bundle with a specified source directory and target destination for installation. This might indicate a change in how plugins are packaged or distributed within the project.
Potential issuesThe CMake script is trying to fetch the 'llm.c' source code from a GitHub repository, but it seems that the necessary steps to integrate this fetched content into the build system are missing. After declaring and making available the 'llmc', there should be additional steps to add the fetched sources to the target_sources or target_link_libraries of wasmedgePluginWasiLLM. The CMake script is linking the 'train_gpt2_cpu' library, but it's not clear if this library is a system library or a custom one. If it's a custom library, its build instructions are missing from the provided source code snippet. There's no mention of handling different compiler flags based on the platform (like Windows, Linux, MacOS) which could lead to potential compatibility issues across different operating systems. It would be beneficial to include platform-specific configurations for compiling and linking libraries.
Summary of changes- The project is now fetching the source code for "llm.c" from a GitHub repository (https://github.com/WasmEdge/llm.c).
- A new library, "wasmedgePluginWasiLLM", has been added to the project. This library includes several C++ files related to LLM (Language Learning Model) functionality.
- The "wasmedgePluginWasiLLM" library is now linked with an additional library called "train_gpt2_cpu". This could indicate that the project is incorporating GPT-2 model training capabilities into its LLM functionalities.
Potential issues- Issue: The ErrNo enum is missing an error code for "OutOfMemory" which could be crucial in a memory-managed system like this one.
- Issue: There's no handling or documentation about the case when an unknown or unsupported error code is passed to functions that use ErrNo. This could lead to undefined behavior.
- Issue: The namespace WasmEdge::Host::WASILLM is quite nested and might cause confusion for developers who are not familiar with this structure. Consider using more descriptive namespaces or reducing the nesting level if possible.
Summary of changes- The code is removing the license identifier and copyright text at the beginning of the file.
- It's introducing a new enumeration called
ErrNo within the namespaceWasmEdge::Host::WASILLM. This enumeration defines three possible error codes: Success, InvalidArgument, and MissingMemory, each associated with a unique uint32_t value. - The file is being restructured to be included only once during compilation (
#pragma once) and it's adding the standard integer library (<cstdint>) for use in defining the error codes.
Potential issuesIssue: ThecastErrNo function used in the return statement of the public methods is not defined within the provided code snippet, which could lead to a compilation error. Issue: In theWasiLLMModelTrain::body method, the parameterEpoch is declared asuint32_t, but it's unclear from the context whether this is an appropriate type for representing epochs in machine learning training. If epochs are typically represented as integers, then usinguint32_t could potentially lead to overflow issues or incorrect behavior if a very large number of epochs is used.
Summary of changesAddition of Four New Classes: The code introduces four new classes -WasiLLMModelCreate,WasiLLMDataLoaderCreate,WasiLLMTokenizerCreate, andWasiLLMModelTrain. Each class represents a specific functionality related to the WasiLLM (WebAssembly Interface for Large Language Models) system. Method Signature Changes: Thebody method in each new class now accepts different parameters based on their respective functionalities. For example,WasiLLMModelCreate requires checkpoint path and model ID pointer, whileWasiLLMDataLoaderCreate needs data path, batch size, sequence length, process rank, number of processes, shuffle flag, and data loader ID pointer. Error Handling: The code now includes error handling using the Expect monad pattern. This allows for more robust and safer function calls by returning an expected value or an error message if something goes wrong during execution.
Potential issuesIssue: The "Env" variable used in the constructor of WasiLLMModule is not defined within the provided code snippet, causing a compile-time error. Issue: There's no check for successful addition of host functions to the module instance using addHostFunc(). If any of these function additions fail (due to invalid names or types), it could lead to runtime errors that are hard to debug. Issue: The destructor for WasiLLMModule is not provided, which may cause memory leaks if instances of this class are dynamically allocated and not properly deallocated.
Summary of changes- The WasmEdge module "WasiLLMModule" now includes four new host functions: "model_create", "dataloader_create", "tokenizer_create", and "model_train".
- These additions allow for the creation of machine learning models, data loaders, tokenizers, and the ability to train these models.
- The module's constructor has been updated to include these new functions, making them available for use in WasmEdge applications.
Potential issuesIssue: The functionwasmedge_setup_simdjson() is being called in multiple conditions, but it's not defined anywhere in the provided code snippet. This could lead to a linker error or undefined behavior. Issue: In the "ggml" backend configuration for "llama", there's no check ifWASMEDGE_PLUGIN_WASI_NN_GGML_LLAMA_NATIVE is enabled butGGML_AVX,GGML_AVX2,GGML_FMA, andGGML_F16C are being disabled. This might lead to incorrect behavior if native SIMD instructions are expected but not available. Issue: In the "whisper" backend configuration, there's no check for the version of macOS or the availability of thecblas_sgemm() function before settingWHISPER_NO_ACCELERATE to ON. This might cause compilation errors on older versions of macOS that don't support this function.
Summary of changesThe plugin name has been changed fromwasmedgePluginWasiNN towasmedge_add_plugin(wasmedgePluginWasiNN). This change indicates that the plugin is now being added as a separate module rather than a shared library. Added a new lineBUNDLE ${WASMEDGE_BUNDLE_PLUGIN_WASI_NN} to specify the bundle for the plugin. This could indicate that the plugin is now packaged differently or has additional dependencies that need to be bundled with it. Removed the target compile options-DWASMEDGE_PLUGIN and the linking ofwasmedgeCAPI orwasmedge_shared. This could indicate a simplification of the build process for the plugin, possibly making it more modular or easier to integrate with other components.
Potential issues- The CMakeLists.txt file is missing the necessary command to set the project name and version, which can lead to build errors or undefined behavior.
- The code does not handle the case where the PkgConfig package "tesseract" or "lept" is not found. It should provide a fallback option or error message in such cases.
- There's no check for the existence of the source files "wasiocrenv.cpp", "wasiocrfunc.cpp", and "wasiocrmodule.cpp". If these files are missing, it will result in a build failure.
Summary of changesThe project now includes three new source files (wasiocrenv.cpp,wasiocrfunc.cpp, andwasiocrmodule.cpp) that are used to build the WASI-OCR plugin for WasmEdge. The build system has been updated to search for and include headers and libraries from Tesseract (an OCR engine) and Leptonica (a library for image processing). This allows the WASI-OCR plugin to use these tools for its functionality. The installation destination of the builtwasmedgePluginWasiOCR target has been changed to${CMAKE_INSTALL_LIBDIR}/wasmedge, which is a more specific location than before. This may be significant for users who have multiple versions or installations of WasmEdge on their systems.
Potential issuesIssue: The "Env" variable used in the constructors of WasiOCRNumOfExtractions and WasiOCRGetOutput is not defined within the scope provided in the code snippet. This could lead to a compilation error due to an undefined reference. Issue: There's no check for null pointers when adding host functions to ModuleInstance in the constructor of WasmEdge::Host::WasiOCRModule. If either std::make_unique(Env) or std::make_unique(Env) returns a null pointer, it could lead to a runtime error when trying to use these functions later in the program.
Summary of changes- The removal of the license identifier and file copyright text at the beginning of the file, which suggests a potential change in licensing or ownership.
- The addition of two new host functions "num_of_extractions" and "get_output" to the WasiOCRModule class within the WasmEdge namespace. These functions are likely used for handling OCR (Optical Character Recognition) operations, as indicated by the context of the file name and the function names.
- The modification of the constructor for the WasiOCRModule class, which now initializes a new ModuleInstance with the name "wasi_ephemeral_ocr". This could indicate a change in the module's functionality or purpose.
Potential issues- The CMakeLists.txt file is missing the closing parenthesis for the wasmedge_add_plugin function call.
- The SOURCES keyword in the wasmedge_add_plugin function seems to be misplaced, as it should likely be a separate argument or parameter.
- There's no mention of setting up dependencies for the wasmedgePluginWasiPoll target, which could lead to linking errors if there are unresolved external symbols.
Summary of changes- The library type of "wasmedgePluginWasiPoll" has been changed from SHARED to BUNDLE, which is likely a change in how the plugin is packaged or distributed.
- A new line
BUNDLE ${WASMEDGE_BUNDLE_PLUGIN_WASI_POLL} has been added to specify the bundle for the plugin "wasmedgePluginWasiPoll". - The target linking with "wasmedgeCAPI" and "wasmedge_shared" libraries based on the condition
WASMEDGE_LINK_PLUGINS_STATIC has been removed, which may simplify the build configuration or make it more flexible.
Potential issuesTheLIBBPF_DEP_LIBRARIES variable is being set inside theAddLibbpfAsExternal function, but it's not being used when linking the final target (wasmedgePluginWasmBpf) if libbpf was found using PkgConfig or FetchContent. This could lead to missing dependencies during the linking stage. TheLIBBPF_DEP_LIBRARIES_STATIC variable is being referenced, but it's not defined anywhere in the provided code. This will cause a reference error when trying to link statically with libbpf if it was found using FetchContent or LIBBPF_SOURCE_DIR. TheLIBBPF_DEP_LIBRARIES variable is being set to "elf" and "z" when not using PkgConfig, but these are system libraries that may not be present in the build environment. If these libraries are required for libbpf to function correctly, they should be added as dependencies or fetched alongside libbpf during the FetchContent step.
Summary of changesThewasmedgePluginWasmBpf target has been changed from a library to a plugin using thewasmedge_add_plugin command. This change likely indicates that the functionality of this component is now being treated as a separate, pluggable module within the WasmEdge system. The FetchContent module is no longer included unconditionally at line 88. Instead, it's only included if libbpf isn't found in an earlier step. This change likely improves build performance by avoiding unnecessary downloading and building of dependencies. The installation instructions for thewasmedgePluginWasmBpf target have been added at the end of the patch, specifying that it should be installed to a specific directory within the WasmEdge library path. This change ensures that the plugin is correctly packaged and deployed with the rest of the WasmEdge system.
Potential issuesIssue: The source code does not include any error handling or exception management for the CMake configuration. If a required library (e.g., libavdevice) is not found, the build will fail silently without providing an informative error message to the user. Issue: There's no version check for the imported libraries. This could lead to compatibility issues if the versions of the installed libraries are not compatible with the expected ones in the source code. Issue: The source code does not include any tests or examples to validate that the plugin is functioning as expected. This makes it difficult to ensure correctness and can lead to unexpected behavior during runtime.
Summary of changesThe functionwasmedge_add_library has been replaced withwasmedge_add_plugin. This change indicates a shift in how the FFmpeg plugin is being added to the WasmEdge system. A new lineBUNDLE ${WASMEDGE_BUNDLE_PLUGIN_FFMPEG} has been added, which suggests that the FFmpeg plugin is now being bundled with WasmEdge in a different way than before. The target compilation option-DWASMEDGE_PLUGIN has been removed from the list of options for compiling the wasmedgePluginWasmEdgeFFmpeg target. This could imply that this macro is no longer needed or its functionality has been moved elsewhere in the build system.
Potential issuesIssue: Thefind_library commands for JPEG and PNG are not checking if the libraries were found successfully. If they're not found, the variables will be empty, which could lead to errors later in the code when these variables are used. Issue: In the UNIX section of the code, there is no error handling or checks for the successful completion of themake commands in the custom commands for building libjpeg and libpng. If these commands fail, it could lead to missing libraries or incorrectly built libraries. Issue: The Boost library is being fetched and built unconditionally, even if a suitable version is found usingfind_package. This can lead to unnecessary downloads and build times, as well as potential conflicts with the system's installed version of Boost. A better approach would be to only fetch and build Boost iffind_package fails to find a suitable version.
Summary of changes- The primary change is the addition of a new CMake function
wasmedge_add_plugin to create a shared library for the WasmEdge Image plugin. This replaces the previous manual creation of the library usingadd_library and related functions. - The removal of FetchContent includes for libjpeg, libpng, and Boost libraries. This suggests that these dependencies are now expected to be installed on the system or provided by another mechanism.
- The modification of target linking to remove conditional compilation based on
WASMEDGE_LINK_PLUGINS_STATIC. This simplifies the build process by always linking againstwasmedgeCAPI andwasmedge_shared, regardless of the value of this variable.
Potential issuesThe code is trying to fetch the 'llm.c' source from a GitHub repository, but it seems that there's no actual command or function to perform this action in the provided script. The CMakeLists.txt file includes a target_link_libraries() command for 'train_gpt2_cpu', which is not previously defined or declared in the script. This could lead to a linking error during compilation. The code does not include any checks or error handling mechanisms for the FetchContent operation. If the source code fails to download from the specified repository, it may cause subsequent build failures that are hard to debug.
Summary of changes- The patch adds a new plugin called "WasmEdgeLLM" to the project, which fetches source code from a GitHub repository (https://github.com/WasmEdge/llm.c).
- The plugin includes four new source files: llm_func.cpp, llm_module.cpp, and llm_env.cpp. These files are used to build the WasmEdgeLLM plugin.
- The project's CMakeLists.txt file is updated to include the new plugin in the build process. This involves adding the plugin to the list of targets, specifying its source files, and linking it with an existing library called "train_gpt2_cpu".
Potential issuesIssue: The constructor of the HostFunction class is not initializing the base class (Runtime::HostFunction) correctly. It should pass a non-zero value to the base class constructor, but currently it's passing zero. Issue: The castErrNo method is declared as static, which means it can be called without an instance of the HostFunction class. However, it seems to depend on the Env member variable, which is not a static member. This could lead to undefined behavior and potential crashes if this function is used inappropriately. Issue: There's no error handling for cases where the LLMEnv object passed to the HostFunction constructor might be invalid or uninitialized. This could cause problems later when trying to use this object, especially since it's a reference and not a pointer.
Summary of changes- The class name has been changed from
WasiLLM toHostFunction. - The header file "wasillmenv.h" is removed and replaced with "llm_env.h".
- The namespace structure has been modified, adding an additional layer called
WasmEdgeLLM under theHost namespace.
Potential issues- The code does not check if the pointer 'M' passed to the addModel function is null, which could lead to a segmentation fault when dereferenced in other parts of the program.
- Similarly, the addTokenizer and addDataLoader functions do not check if the pointers 'T' and 'D' are null before adding them to their respective containers.
- The destructor for LLMEnv does not clear the contents of Models, DataLoaders, and Tokenizers vectors after freeing the memory using gpt2_free, dataloader_destroy, and tokenizer_destroy functions. This could lead to dangling pointers.
Summary of changes- The file name and namespace have been changed from "wasillmenv" to "llm_env" and the corresponding namespace has been updated to match this change.
- The inclusion of header files has been modified, with "wasillmmodule.h" being removed and "llm_module.h" added.
- The class name "WASILLMEnv" has been changed to "LLMEnv", which affects the function declarations and definitions within this class. Additionally, the namespace for these functions has been updated from "WasmEdge::Host::WASILLM" to "WasmEdge::Host::WasmEdgeLLM".
Potential issues- The code does not handle the case where
getModel,getTokenizer, andgetDataLoader are called with an out-of-bounds index (Id). This can lead to undefined behavior or segmentation faults. - There is no error handling for adding a model, tokenizer, or data loader that already exists in the respective vectors. This could potentially lead to memory leaks if these resources are not properly managed elsewhere.
- The destructor
~LLMEnv() does not deallocate the memory for the models, tokenizers, and data loaders. This can cause a memory leak when an instance ofLLMEnv goes out of scope or is deleted.
Summary of changes- The namespace
WASILLM has been renamed toWasmEdgeLLM. - A new enumeration class
ErrNo has been added within theWasmEdgeLLM namespace, which defines error codes that can be returned by functions in the system. - The class
WASILLMEnv has been renamed toLLMEnv, and its destructor's name has been updated accordingly.
Potential issuesThe issue with the code is that it does not handle the case whengpt2_create,dataloader_create, ortokenizer_create functions return a null pointer. This could lead to undefined behavior and potential crashes, as these pointers are dereferenced later in the function without checking for null values. The code does not check if the memory atModelIdPtr,DataLoaderIdPtr, orTokenizerIdPtr is within the bounds of the memory instance. This could lead to buffer overruns and security vulnerabilities, as the code blindly assumes that these pointers are valid and within the allocated memory range. The code does not handle exceptions thrown by thegpt2_train function. If this function throws an exception, it will be propagated up the call stack and potentially terminate the program. This could lead to unexpected behavior and make debugging difficult.
Summary of changes- The file has been renamed from "wasillmfunc.h" to "llm_func.h".
- A new header file "llmc_fwd.h" is included, which was not present in the original version of the file.
- The namespace structure has changed. The functions are now nested within an additional namespace called "WasmEdgeLLM", which was not present in the original version of the file. This could indicate a larger organizational change within the project's codebase.
Potential issuesIssue: The functioncastErrNo is not defined in the provided code snippet, which could lead to a compilation error when trying to use it in the return statement of thebody methods. Issue: There's no input validation for the file paths and lengths passed into theModelCreate,DataLoaderCreate, andTokenizerCreate functions. This can potentially lead to runtime errors or security vulnerabilities if invalid or malicious inputs are provided. Issue: TheNumProcesses parameter in theDataLoaderCreate function is not used, which might indicate a logical error in the implementation. If this parameter is intended to be used for distributing data loading across multiple processes, then it should be utilized in the function's body.
Summary of changes- Addition of new classes:
ModelCreate,DataLoaderCreate,TokenizerCreate, andModelTrain. These classes are part of the WasmEdgeLLM namespace and inherit from a HostFunction template class. - Each new class represents a different function that can be called from WebAssembly (Wasm) code, such as creating a model, data loader, tokenizer, or training a model.
- The body methods in these classes handle the actual implementation of each function, taking various parameters such as file paths, model IDs, data loader IDs, tokenizer IDs, batch size, sequence length, learning rate, and epoch count. These methods return an Expect object that can either contain a successful result or an error code (ErrNo).
Potential issues- The constructor
WasmEdgeLLMModule() is missing a closing parenthesis at the end of the function definition line. - The member variable "Env" used in the constructors for
ModelCreate,DataLoaderCreate,TokenizerCreate, andModelTrain classes is not defined within the provided code snippet, which could lead to a compilation error. - There's no check for the successful creation of host functions using
addHostFunc(). If any of these function creations fail, it might cause runtime errors that are not handled in the current implementation.
Summary of changesLicense and Copyright Update: The file now includes the Apache-2.0 license identifier and copyright text for the years 2019-2024 by Second State INC. New Functionality Added: The WasmEdgeLLMModule class in the WasmEdge::Host namespace has been updated to include new host functions such as "model_create", "dataloader_create", "tokenizer_create", and "model_train". These additions likely enable additional capabilities for working with language models. Code Structure Changes: The code structure has been modified to organize the WasmEdgeLLMModule class within the appropriate namespaces (WasmEdge::Host) and to include necessary header files ("llm_module.h" and "llm_func.h").
Potential issues- The constructor of the WasmEdgeLLMModule class is declared but not defined, which could lead to a linker error during compilation.
- The LLMEnv member variable in the WasmEdgeLLMModule class is private and has no corresponding accessor methods or setter methods, violating encapsulation principles. This can make it difficult to use and modify the state of this object from outside the class.
- There are no include guards for the header files "llm_env.h" and "runtime/instance/module.h", which could lead to multiple definition errors if this header file is included in more than one source file during compilation.
Summary of changes- The class name has been changed from
WasiLLMModule toWasmEdgeLLMModule. - A new header file "llm_env.h" has been included in the code.
- The environment variable type used within the module has been changed from
WASILLM::WASILLMEnv toWasmEdgeLLM::LLMEnv.
Potential issuesThegpt2_create function does not check if the providedcheckpoint_path is valid or exists, which could lead to a runtime error when trying to load the model from an invalid path. Thedataloader_create function does not validate the input parameters such asB,T,process_rank, andnum_processes. This can result in undefined behavior or crashes if these values are outside of their expected range or if they do not satisfy certain conditions. Thegpt2_train function does not check if the providedTokenizer is valid or non-null, which could lead to a null pointer dereference error when trying to use it in the training process.
Summary of changes- The header file included in the code has been changed from "wasillmenv.h" to "llm_env.h".
- This change indicates a potential renaming or refactoring of the project's environment-related files, possibly due to a new naming convention or structure.
- The change does not affect any functional code within this file; it is purely a modification in the included header file reference.
Potential issuesIssue: The code is using CMake to build a plugin, but it's not checking if the necessary functions or macros (likewasmedge_add_plugin,target_include_directories, andtarget_link_libraries) are defined before usage. This could lead to undefined reference errors during compilation. Issue: The code is using${WASMEDGE_BUNDLE_PLUGIN_OCR} in thewasmedge_add_plugin function, but it's not defined or set anywhere in the provided source code. This could lead to a build error as CMake won't know what value to substitute for this variable. Issue: The code is installing the targetwasmedgePluginWasmEdgeOCR into${CMAKE_INSTALL_LIBDIR}/wasmedge, but it's not checking if this directory exists or has write permissions. If the directory doesn't exist or the user doesn't have sufficient permissions, the installation will fail.
Summary of changes- The patch adds support for the Tesseract backend in WasmEdge-OCR, which is a new feature that allows the OCR (Optical Character Recognition) plugin to use Tesseract as its backend.
- It introduces two new dependencies: Tesseract and Leptonica. These are required for the successful build of the Tesseract backend.
- The patch adds three new source files (ocr_env.cpp, ocr_func.cpp, and ocr_module.cpp) to the WasmEdge-OCR plugin, which are necessary for integrating the Tesseract backend into the existing OCR functionality.
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