The subject technology transforms a machine learning model into a transformed machine learning model in accordance with a particular model specification when the machine learning model does not conform to the particular model specification, the particular model specification being compatible with an integrated development environment (IDE). The subject technology generates a code interface and code for the transformed machine learning model, the code interface including code statements in the object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model. Further, the subject technology provides the generated code interface and the code for display in the IDE, the IDE enabling modifying of the generated code interface and the code.

The present invention provides a general description language data system for directed acyclic graph automatic task flow, including: Step definition layer, Workflow definition layer and Template definition layer; The Step definition layer is the description of a single task, for the input and output declarations of each docker image or other executor, comprises name, type, file and parameters. The Workflow definition layer is a workflow composed of one or more Steps, the dependency topology of these Steps needs to be defined, and shared parameters can also be defined. The Template definition layer is based on a Workflow definition layer. The Template definition layer pre-sets the parameters, and supplies the descriptions, checkers or data source definitions of the parameters. The data center of the present invention is used with the task execution tool, and a programming language needs to be used to implement the corresponding tool.

Techniques described herein relate to a method for composition for complex solutions. The method may include receiving, by a system control processor manager, a composition request to compose a composed information handling system, the request comprising a solution manifest file; parsing, by the system control processor manager, the solution manifest file to identify a solution requirement set; performing, using the solution requirement set, an analysis of a telemetry data map and a topology and connectivity graph; making a determination, based on the analysis, that the composition request may be satisfied using resources represented in the topology and connectivity graph; and composing the composed information handling system based on the determination.

Techniques described herein relate to a method for composition for complex solutions. The method may include receiving, by a system control processor manager, a composition request to compose a composed information handling system, the request comprising a solution manifest file; parsing, by the system control processor manager, the solution manifest file to identify a solution requirement set; performing, using the solution requirement set, an analysis of a telemetry data map and a topology and connectivity graph; making a determination, based on the analysis, that the composition request may be satisfied using resources represented in the topology and connectivity graph; and composing the composed information handling system based on the determination.

A first context update indicative of a present state associated with an application is received. A first contextual situation, among a plurality of contextual situations associated with a plurality of conditions, that corresponds to the first context update is identified. Identifying the first contextual situation includes implementing a decision tree to minimize a number of the plurality of conditions to be evaluated, identifying the first contextual situation using the decision tree, and determining one or more actions to be performed corresponding with the first contextual situation.

A first context update indicative of a present state associated with an application is received. A first contextual situation, among a plurality of contextual situations associated with a plurality of conditions, that corresponds to the first context update is identified. Identifying the first contextual situation includes implementing a decision tree to minimize a number of the plurality of conditions to be evaluated, identifying the first contextual situation using the decision tree, and determining one or more actions to be performed corresponding with the first contextual situation.

Identifying risky code in microservices is described. A system identifies a modification to code segments in an application. The system determines a segments similarity score based on comparing the code segments, which are in a microservice of the application, against other code segments, which are in another microservice of the application. The system determines whether the segments similarity score satisfies a segments similarity threshold. The system outputs a recommendation to make the modification, which was made to the code segments in the microservice of the application, to the other code segments in the other microservice in the application, in response to a determination that the segment similarity score satisfies the similarity threshold.

This disclosure generally relates to high-level synthesis (HLS) platforms, and, more particularly, enable print functionality in high-level synthesis (HLS) platforms. The recent availability FPGA-HLS is a great success due to availability of compilers for FPGAs as opposed to hardware description languages (HDLs) that requires special skills. However, the compilers within the HLS design platform includes limited support for all the standard libraries, wherein features like print functionality is not supported. The invention discloses techniques to enable print functionality in HLS design platforms based on source-to-source transformations and stream combining scheme. In addition to enabling print functionality, the invention also discloses a formatter technique to receive-format FPGA data into human interpretable data.

This disclosure generally relates to high-level synthesis (HLS) platforms, and, more particularly, enable print functionality in high-level synthesis (HLS) platforms. The recent availability FPGA-HLS is a great success due to availability of compilers for FPGAs as opposed to hardware description languages (HDLs) that requires special skills. However, the compilers within the HLS design platform includes limited support for all the standard libraries, wherein features like print functionality is not supported. The invention discloses techniques to enable print functionality in HLS design platforms based on source-to-source transformations and stream combining scheme. In addition to enabling print functionality, the invention also discloses a formatter technique to receive-format FPGA data into human interpretable data.

Systems and methods analyze for installing dependencies required for the installation of prerequisite components of cloud infrastructure to be installed in a disconnected environment are presented herein. An automation playbook generated after an assessment of a disconnected environment may be analyzed to determine a set of dependencies required by the automation playbook (e.g., packages and files required by each installation playbook called by the automation playbook). Each of the dependencies may be brought into the disconnected environment and installed as operating system packaging units, or deployed as containerized services. After all of the dependencies have been installed, a processing device may generate an installation report indicating whether the installation of each prerequisite component was successful or not. Upon determining that each of the prerequisite components was successfully installed, the processing device may install the cloud infrastructure on the disconnected environment.