264 results about "Toolchain" patented technology

The embodiment of the invention provides a cross-chip platform compiling tool chain method which comprises the following steps: scanning a target platform architecture specification file to extract instruction set features, constructing a platform difference matrix based on the instruction set features to record instruction formats and system call differences of different chip platforms, and normalizing a multi-language syntax tree into a unified intermediate representation; constructing a cross-platform compiler to convert the intermediate representation into a target code; designing a unified intermediate language based on a platform difference matrix to support multi-language compilation; creating an instruction mapper to convert the intermediate representation into a target platform instruction; identifying a target architecture type through a platform identification code; designing a test case to verify a compiling result, and deploying the optimized target program to a target platform; according to the method and the device, the expandability and the code quality of the compiling tool chain can be improved by constructing the unified intermediate presentation layer and the optimization framework, and more efficient cross-platform support is realized.

A system and method for a protocol parser that has native support for parsing TLVs and flag-fields and allow users to code in a language convenient to them and leverage standard tool chains and tools. The same parser source can be compiled to arbitrary software and hardware targets without code change and provide the highest performance possible given its capabilities.

The invention provides a dynamic tool integration method and system for an intention-driven AI dialogue system, and the method comprises the steps: S5, extracting resource occupation information from a transaction log according to a state persistence record, carrying out the resource release and temporary context cleaning of each heterogeneous component, and obtaining a released resource list; s6, searching a breakpoint state snapshot and a transaction log from the distributed database according to the released resource list, and reconstructing a tool chain execution flow historical state to obtain a fault context analysis result; and S8, according to the context recovery state and the semantic feature vector, updating a tool chain execution stream, and reallocating computing resources through a heterogeneous component coordination mechanism to obtain a task continuity confirmation result. According to the method, the recovery efficiency and the resource utilization rate of the tool chain in an abnormal scene are remarkably improved, and the task continuity and the system robustness in a high-concurrency environment are guaranteed.

A simulation system based on a large language model comprises a large language model module, a scenario generation tool module, a meta-scene database module, a simulation deduction engine module, a simulation model module, a simulation front-end module and a simulation tool set module. The large language model module analyzes an instruction and a situation description input by a user, splits semantic information and meta-scene information in the instruction and the situation description, sends the split semantic information and meta-scene information to the scenario generation tool module, and receives a scenario file output by the scenario generation tool module; further sending the received scenario file to a simulation deduction engine module, and receiving a simulation process and a simulation result generated by the simulation deduction engine module; and meanwhile, the large language model module can call the simulation tool set module by using a tool chain instruction through a simulation deduction engine, so that the simulation tool set module generates a situation processing result. According to the method, man-machine interaction based on the large language model is realized, and a tool set is called by utilizing the large language model to assist a user in completing simulation and analysis.

The invention relates to a compilation verification system generation method, a driver compilation verification method, a driver compilation verification system, a driver compilation verification device, a driver compilation verification device, equipment, a medium and a product. The method comprises the following steps: generating each operating system container mirror image based on each target operating system required to be supported by each driver; obtaining a kernel file required for compiling a driving program according to the kernel version used by each target operating system; generating a container compiling environment corresponding to each operating system container mirror image based on each tool chain required for compiling each driving program; determining a written automatic verification program which is used for verifying each drive program by using each kernel version and each tool chain based on each kernel file in a container compiling environment corresponding to each operating system container mirror image; and obtaining a compiling verification system based on the operating system container mirror image, the kernel file, the container compiling environment and the automatic verification program. By adopting the method, the driver can be automatically verified to adapt to different operating systems, kernel versions and compiling tool chain environments.

The invention discloses a container mirror image construction and use method oriented to embedded cross compiling, relates to the field of compiling methods of operating systems, and solves the compiling problem of a software source program under an embedded Linux operating system. The invention relates to an embedded cross compiling method based on a container mechanism, which comprises the following steps of: integrating tool chain software and an operating system header file, a library file and the like required by compiling to form a new mirror image file based on a basic container mirror image, starting a container through the mirror image when a program is compiled, and after a source code catalog is mounted and a catalog is constructed, starting the container through the mirror image; and calling the tool chain through the script to complete cross compiling. According to the method, the construction of a cross compiling environment can be separated from the shackle of a host machine operating system, the method has the characteristics of high environmental adaptability, flexible and convenient deployment, good platform safety and the like, compilation of engineering source codes such as application programs, library files and drivers is supported, and powerful support can be provided for cross compiling of embedded programs.

The invention discloses a large model calling system and method based on an MCP tool chain, and the method comprises the steps: receiving user input, and carrying out the preliminary matching of tools: querying whether the user input contains an entity in an entity database or not through a fuzzy matching technology, and carrying out the preliminary screening of a plurality of candidate tools based on a matching result, so as to obtain limited to-be-selected tools; user input is converted into semantic vectors, semantic matching is conducted in a vector database, and semantic similarities of all tools to be selected are ranked through a similarity calculation method; extracting key information in user input; abstracting the user input into a specified format; and matching the specified format with the historical workflow template, and if the historical workflow template is matched, replacing the key information to a corresponding position of the historical workflow template by adopting a structure-preserving parameter replacement algorithm to realize workflow reuse. According to the method and the device, a complete technical link from accurate tool screening to intelligent workflow multiplexing can be realized.

The invention discloses a building construction carbon emission dynamic optimization method and system based on Revit and AI linkage. The method comprises the following steps: step 1, data integration; step 2, model training; step 3, logistics simulation; step 4, collaborative optimization; 5, dynamic early warning is carried out; step 6, generating a thermodynamic diagram; step 7, integrating paths; 8, iterative optimization is carried out; and 9, multi-scene analysis is carried out. According to the method, real-time variables are dynamically captured through an Azure AutoML time sequence model, and the prediction error is reduced; automatic management is realized by integrating a code-free tool chain, and the cost is reduced; double objective functions are innovated to synchronously optimize transportation and environmental protection benefits; a full-life-cycle closed-loop system is constructed to improve the dynamic adjustment capability; and the generation of visual decision support efficiency is improved, and revolutionary technical support is provided for green construction.

The invention discloses a lightweight cross-platform PLC (Programmable Logic Controller) multi-language code generation method, which relates to the field of industrial process control, and firstly provides a unified intermediate data model, and on the basis, a module for converting each PLC language into the unified intermediate data model is realized; on the basis of a standardized JSON data structure, a modularized unified intermediate language conversion chain is further supported, an analyzer and a generator communicate through a JSON interface, a cross-platform conversion path is supported, and unified intermediate language conversion from PLC to JSON to XML to ST to C is completed; the method comprises the following steps of: integrating an open source compiler and runtime, constructing an open and pluggable automatic execution framework, compiling a generated C code into a platform executable file by using an adaptive GCC tool chain aiming at different target platforms, and deploying a program generated by compiling to a soft PLC runtime system supporting multiple platforms. According to the method, a JSON intermediate data structure which is light in weight, unrelated to languages and uniform in structure and a matched conversion framework of the JSON intermediate data structure are constructed.

The invention provides a script language-oriented seismic batch processing job editing method and device, and the method comprises the steps: obtaining a to-be-processed seismic job demand, and determining a seismic job project and database information; initializing each module object in a pre-established seismic batch processing operation framework, wherein the framework is a scripting language framework comprising a preset core library, a module library and a tool chain; determining a standard type parameter corresponding to each module object; initializing an operation topological structure of the seismic batch processing operation framework; selecting a target module object and adding the target module object to the target operation based on the earthquake operation project and the database information; and outputting the topological graph of the module according to the debugging requirement, and generating a target operation corresponding to the seismic operation requirement by calling the XML format file. According to the method, seamless connection of job editing and code editing is realized through a script language-oriented seismic batch processing job framework, so that the method is more flexible and efficient; and diversified requirements of a user for job editing by using a script programming language are met.

The invention provides a micro-front-end multi-application architecture, a micro-front-end multi-application system and an integration method of the micro-front-end multi-application system. The method comprises the following steps: constructing a main application based on a Vite tool chain; a multi-application universal code warehouse is constructed based on Monorepo; based on the main application and the multi-application universal code warehouse, introducing a Wujie micro-front-end, and constructing a micro-front-end multi-application architecture; performing technical agreement based on a micro-front-end multi-application architecture; based on the technical agreement, transforming a main application and a sub-application which are integrated and accessed into the micro-front-end multi-application architecture, and constructing a multi-application integrated system; according to the dependency relationship of different application resources in the multi-application integrated system, public resources are planned, a CDN content distribution network is constructed, and a distribution strategy of the resources and a distribution service of the resources are constructed; performing configuration setting and construction deployment on the multi-application integrated system and the resource distribution service; according to the method, the problem of'giant application 'of enterprise-level integrated software is solved.

A method and a system for compiling a neural network, a computer storage medium, and a compilation device are provided. The method for compiling the neural network comprises: translating a network file into an intermediate representation file; optimizing the intermediate representation file to obtain an optimized intermediate representation file, based on a performance analysis, single-node optimization, and collaborated optimization; generating a network template file based on hardware interfaces through the optimized intermediate representation file; compiling the network template file into an executable inference application. The present disclosure aims to design and implement an automated compilation toolchain framework. This framework adjusts parameters, generates code, creates intermediate representations (IRs), and applies optimization algorithms based on software and hardware information. When this compilation toolchain operates on a target chip, it ensures consistent network output results, achieves higher computation rates within shorter optimization times, reduces computation delays, and facilitates user debugging and tuning.

The invention provides a method for searching structured data based on natural language driven by a large model, which comprises the following steps of: preprocessing interface parameters through a data interface of an openAPI (Application Program Interface) to generate an interface file, and adding the preprocessed interface parameters into an agent tool chain; the large model extracts keyword parameters from a question input by a user through a natural language and performs semantic analysis on the extracted keyword parameters, so that the keyword parameters are converted into interface fields or table fields in an interface file; the large model adapts an analyzed result to a tool name in the agent tool chain; calling an adaptive interface name by the large model, and calling a corresponding tool to query a data result; the large model outputs the result according to the form of the user demand, standardization processing is performed on the interface of the traditional data, the agent tool is added, the large model is used, different data search requirements are met, and the personalized data query requirement is met.

The invention discloses a visual configuration method and device based on a ToB service and a medium, and relates to the technical field of page configuration. The method comprises the following steps: acquiring login information of a user, and judging whether the user has a management authority of visual configuration or not according to the login information; under the condition that the visual configuration management authority exists, title content and icons input by a user are obtained; extracting features of the title content, and matching the features with a preset theme template; after the user selects the theme template, a login page is generated according to title content and an icon input by the user, a user-defined tool chain, a verification code option and a page component are sent, and a preview of the theme template is displayed in a preview area in real time; and under the condition that the verification code is opened, providing a verification code sending channel. According to the method, the login page meeting the customization requirement is rapidly generated, the development period is greatly shortened, the development efficiency is improved, and the product landing cost is reduced.

The invention discloses a smart home control method and system based on a multi-modal large model, and the method comprises the steps: carrying out the cross-modal feature extraction and semantic alignment processing of voice, image and sensor data through an improved multi-modal large model, and achieving the semantic space mapping of multi-source data based on a context sharing mechanism and reasoning logic; the method comprises the following steps: abstracting local smart home equipment into a standardized resource entity by using an MCP technology, defining an equipment function feature set through a protocol interface, and packaging the equipment function feature set into a callable tool chain; constructing a real-time data fusion model, and generating a control instruction sequence through the multi-modal large model based on the real-time data fusion model; and calling a corresponding tool in the tool chain according to the control instruction sequence to execute equipment control. The problems that an existing system depends on single-mode data and is easily interfered by the environment, the access cost of new equipment is high due to the fact that a unified data fusion framework does not exist, a control strategy is difficult to adapt to user behavior changes, equipment communication protocols are different, and the user requirement matching degree is low are solved.

The invention discloses an Alliance tool chain logic synthesis method based on multiple logic domains. The method comprises the following steps that an intermediate representation structure of a target circuit is obtained; mapping a Boolean expression in the intermediate representation structure into an XMG network equivalent to the logic function of the target circuit; logic optimization with the optimization logic hierarchy as the target is executed on the XMG network obtained through mapping; converting the XMG network after logic hierarchy optimization into an AIG network; logic optimization with optimization of the number of nodes as a target is executed on the AIG network obtained through conversion, and the optimized AIG network is output as an aig file; and reading the aig file, analyzing the aig file, outputting the analyzed aig file as a VHDL file, inputting the VHDL file to the Alliance tool chain, and generating a gate-level netlist corresponding to the optimized target circuit. According to the method, the logic optimization efficiency and expandability can be greatly improved, the performance bottleneck of an existing Alliance tool chain is effectively solved, and the large-scale circuit design processing capacity of the Alliance tool chain is remarkably improved.

The invention discloses a software research and development method based on a PBC assembled architecture, and the method comprises the steps: providing an overall view of a business field oriented to a manager or an architect, and meanwhile, generating linkage with a specific business field to realize a basic drill-down capability; a default engineering scaffold or a user-defined engineering scaffold is supported to generate a code framework; the precipitated asset capabilities of technical components, business components and the like are reused; executing service component custom configuration and generating a service related code path and basic function logic; according to the current situation and the service characteristics, the application selects to add code logic under the condition of cutting or not adjusting stock code logic, so that the scenarized ability is improved; realizing assembly and arrangement of technical components and business components, and performing scene interface development through a visual designer; and breaking through with a DevOps tool chain. According to the technical scheme, an enterprise can accelerate asset precipitation, the delivery efficiency is improved, and the capacity of quickly responding to market requirements is achieved.

The invention relates to a cross-platform software development method and related equipment. The method is applied to the electronic equipment providing a low-code tool chain, and the low-code tool chain comprises a low-code development platform and a compiler. Based on the configuration of the meta model of the vehicle-mounted resource, the low-code development platform generates an automobile domain specific language VDSL file for describing the vehicle-mounted software function; the compiler obtains the VDSL file, compiles the VDSL file into running program codes running in different controllers and sends the running program codes to a cloud server, and the cloud server is used for sending the running program codes to the different controllers. According to the method and the device, the running program codes corresponding to different controllers are generated through the unified VDSL, so that cross-platform running software programs can be conveniently developed in the same platform, the software development efficiency is improved, and the development cost is reduced.

The invention discloses an agent and tool chain collaborative data processing method and device and a medium, and relates to the technical field of agent application. The method comprises the steps of receiving a data processing task target and related configuration parameters input by a user, and initializing task context data based on the task target and the configuration parameters; executing a circular processing process by an agent based on a ReAct framework, and dynamically adjusting a task strategy by iteratively executing a thinking stage, an action stage and an observation stage until a task completion condition is met; in the circular processing process, based on standardized tool calling instruction data generated by the intelligent agent, cooperatively calling the MCP tool chain and a plurality of tools in the external tool adaptation layer to execute a data processing task; performing aggregation processing and data verification on the multi-source result data returned by the tool execution to generate integrated analysis result data; and displaying task execution process data and a final analysis result in real time through a front-end interaction interface, and dynamically adjusting a task execution process based on user intervention instruction data.

The invention relates to a container application migration method and system and a storage medium, and the method comprises the steps: extracting a dependency list and call information through a script, compiling a source code of a current architecture of a container application into an executable file under a target architecture, replacing a dependency library file under the current architecture of the container application with the dependency library file under the target architecture, and carrying out the migration of the container application. Based on the dependency list and the calling information, using the basic mirror image of the target architecture to reconstruct the container mirror image so as to ensure that the container application can run on the target architecture, intercepting and redirecting the system calling through an LDPRELOAD mechanism so as to enable the system calling to adapt to the target architecture, and using a cross compilation tool chain so as to improve the system calling efficiency. And replacing the instruction set of the current architecture with the instruction set of the target architecture, and carrying out container application migration operation. The dependency list and the calling information are extracted through the script, so that the possibility of omitting the dependency list and the calling information required by operation of the container application is reduced, and efficient and stable operation of the container application on the target architecture is ensured.

The invention provides a method for achieving automatic interface testing by integrating a software CICD process with MeterSphere. The method comprises the following steps that S1, environment preparation is conducted, and a MeterSphere platform is built; s2, a Jenkins server and a MeterSphere platform are integrated, and the Jenkins server and the MeterSphere platform are S3, generating a pipeline script; s4, automatic testing is carried out; s5, sending a test result notification; through seamless integration of Jenkins and MeterSphere, research and development personnel do not need to manually transmit deployment information to test personnel, and the test personnel can obtain latest deployment and test feedback in time, so that delay of manual intervention and information transmission is reduced, and the overall communication efficiency is improved; the interface test is automatically executed, manual operation is reduced, and the test execution speed is increased; by integrating a test report and tool chain automation, the accuracy, transparency and traceability of a test result are ensured.

The invention belongs to the technical field of computers, and provides a macro instruction execution method, a macro instruction compiling method, an upper computer, a touch screen device and a storage medium. The upper computer can provide a platform for compiling a macro instruction through a Windows operating system for a user, the programming language threshold of the user is lowered, then a cross compiling tool chain is utilized, and therefore the programming speed of the user is improved. Compiling the macro instruction into a target dynamic library file capable of running in an embedded operating system; and the touch screen device downloads the target dynamic library file and calls the target dynamic library file to execute the macro instruction. According to the method and the device, the macro instruction written in the upper computer of the Windows platform can be compiled to generate the dynamic library capable of running in the embedded operating system platform through a cross compiling mode, so that the function of executing the macro instruction in a cross-platform manner is realized, and the macro instruction can more intelligently and efficiently execute complex operation or flow defined by a user.

The invention discloses an AI dialogue flow control method, system and device supporting real-time interruption of a user, a medium and a program product. The method comprises the steps that a user request is received, and a flow session is established; based on the stream session, requesting LLM increment generation, receiving fragments generated by increment, returning the fragments, and pushing the fragments to the client; when a click stop request of a user is received, an STOP signal is sent; when the STOP signal is monitored, sending a mark termination request; after a mark termination request is received, a subsequent generation termination request is sent to the LLM, a STREAMTERMINATED semantic event is published and broadcasted, and generated content and a termination mark are returned to the client; terminating subsequent generation comprises stopping untriggered subsequent reasoning and tool chain calling; discarding the tail cache which is not sent; and recording the output token count, and terminating the offset. The AI dialogue flow control method supports real-time interruption of the user, is low in delay, clear in semantics and recoverable, and further has the advantages of saving resources, being high in stability, capable of being universally expanded, gaining behavior analysis and the like.

The invention relates to the technical field of artificial intelligence, in particular to a brain-equipped robot end-side cloud collaborative management system, which comprises a brain-equipped robot unit, a man-machine interaction client, an APP / applet, a resource management platform and an application market platform, the brain-equipped robot unit comprises a multi-mode sensing module which is used for understanding natural language instructions, screen contents and voice interaction; a large model decision module; the execution control module is used for simulating a keyboard and a mouse to operate computer software; the man-machine interaction client and the APP / applet serve as an interface for interaction; the resource management platform comprises equipment and a user management module; the resource matching algorithm module is used for evaluating and distributing optimal computing resources; the block chain registration module is used for recording ownership and use right information of the task; the sandbox execution environment module is used for creating a running environment; the application market platform is used for providing a developer tool chain and a revenue distribution mechanism. The application efficiency of the agent system can be improved.

The invention provides a macro-cell layout evaluation optimization method based on a large language model, and belongs to the field of electronic design automation. According to the method, a large language model is introduced to assist layout generation, a current initial layout is improved in combination with connection weight analysis, on the other hand, an improved result is judged and continuously iterated according to natural language feedback of an experience manual or an expert, and closed-loop optimization is formed; carrying out weight quantization on direct and indirect signal paths among macro units, constructing a logic association strength matrix, and realizing accurate identification and priority ranking of key time sequence paths; the availability score of each candidate layout scheme is calculated through a layout availability scoring module, dynamic measurement is carried out on surrounding standard unit resources, the resource distribution state is evaluated in real time, the position of a macro unit is actively adjusted, and resource congestion or waste is avoided; the method is deeply integrated with an open source EDA tool, the dependence on a commercial tool is reduced, the tool chain deployment and iteration period is shortened, and the transportability and usability of the method are guaranteed.

The embodiment of the invention provides a verification method and device, electronic equipment and a readable storage medium, and the method comprises the steps: configuring a test item in a first file, and setting a link address of the first file in a link script of a test program; the test program is used for providing a bottom layer operation environment for a test case of the test item; compiling the test program based on a compiling tool chain and the link script to obtain a binary file corresponding to the test program; performing mirror image packaging on the binary file and the first file to obtain a first mirror image file; and loading the first mirror image file in a simulation system, and driving a to-be-tested design to run the test program so as to load the first file from the link address and execute a test case corresponding to the test item. According to the embodiment of the invention, the compiling power consumption of the test program can be reduced, and the overall verification efficiency of the processor chip system can be improved.

A framework that brings together application development, resource management, and accelerator design into a single compilation and runtime toolchain. In one example aspect, a method for enabling execution of multiple software applications on an embedded system includes receiving a first invocation of an Application Programing Interface (API) function by a first software application and a second invocation of the API function by a second software application, and determining available computing resources corresponding to the API function. The method includes selecting, based on one or more characteristics associated with the available computing resources, a first set of computing resources and a second set of computing resources. The method also includes scheduling the first invocation of the API function using the first set of computing resources and scheduling the second invocation of the API function using the second set of computing resources.

A system and method for a protocol parser that has native support for parsing TLVs and flag-fields and allow users to code in a language convenient to them and leverage standard tool chains and tools. The same parser source can be compiled to arbitrary software and hardware targets without code change and provide the highest performance possible given its capabilities.

The present invention discloses a method for driving BI analysis scenarios by an intelligent agent, the analysis method comprising: step S1: initializing a tool chain object library, a tool library and a BI scenario library; step S2: the front-end module interacts with the user, obtains the user input and sends it to the Web service; step S3: the Web service receives the request, records it in the database, and calls the intelligent agent; step S4: the intelligent agent parses the task and matches the tool chain according to the scenario; step S5: the intelligent agent executes the tool chain using the scenario parameters; step S6: the intelligent agent calls the BI scenario tool; step S7: the intelligent agent completes the execution of the remaining steps of the tool chain; step S8: the Web service returns the received output to the front end. A hierarchical software architecture is adopted to enable the BI scenario to be flexibly expanded to support the ever-changing analysis needs, and a fine-tuning technology is adopted to make the large model more suitable for the BI analysis scenario.

The invention is applicable to the technical field of computers, and provides a software version publishing method which comprises the following steps: receiving a service version submitted by a developer; when a release instruction is received, analyzing the release instruction, and determining a target service version; creating an application version according to the target service version; generating a configuration file according to the application version; the configuration file is submitted to a GitOps warehouse; analyzing the configuration file to obtain an application version and a target service version; the application version and the target service version are synchronized to a Kubernetes cluster; after synchronization succeeds, application version release is completed. According to the embodiment of the invention, an automatic process from code submission to release is realized, the release process is greatly simplified, and manual intervention and error risks are reduced. And through the use of the automatic script and the tool chain, the time consumption and error possibility caused by manual operation are reduced, and the publishing efficiency and accuracy are improved.