10results about How to "Improve compilation efficiency" patented technology

The application discloses a software development package compiling method and device, and relates to the technical field of computers. A specific implementation of the method comprises the following steps: performing encapsulation based on a second programming language on a first type of module of any core component in a software development package, extracting a header file of the first type of module and a header file of a second type of module after the encapsulation to generate a common umbrella header file of the core component; and after compiling core component source code and upper layer component source code in the software development package into an executable file, processing the common umbrella header file of any core component in the software development package, so that the common umbrella header file only contains declaration content configured in advance for the core component. The implementation can effectively reduce the risk of core code leakage.

The present disclosure provides a compiling method and device, first, obtaining a to-be-compiled code, and generating a plurality of compiling tasks corresponding to the to-be-compiled code; then, for any compiling task, determining a target code segment corresponding to the compiling task before starting to execute the compiling task; then, searching for a cached compressed compiling product corresponding to the target code segment, if the compressed compiling product is successfully found, determining a target decompression algorithm matching the compressed compiling product from a plurality of to-be-selected decompression algorithms; secondly, decompressing the compressed compiling product by using the target decompression algorithm to obtain a decompressed compiling product corresponding to the compiling task; finally, generating an executable file corresponding to the to-be-compiled code based on the obtained decompressed compiling product. The present disclosure embodiment realizes diversified selection of compression algorithms, improves the flexibility of the selection of compression algorithms during compiling, and improves the compiling efficiency.

The present application belongs to the technical field of knowledge compilation and network reliability analysis, and particularly relates to a network reliability intelligent computing method and system for a logical decision graph, comprising: modeling a network system as a triple data structure composed of a network topology graph, a terminal node set and an edge availability probability set; determining a topology order of network nodes and network edges based on the triple data structure; constructing a full binary tree vtree with leaf nodes corresponding to network edges one by one according to the topology order; and compiling the network topology graph into a zero-suppression statement logical decision graph using the vtree, wherein the zero-suppression statement logical decision graph is used to represent a set of valid subgraphs that satisfy terminal node connectivity; and recursively calculating a reliability value of the network system based on the zero-suppression statement logical decision graph.

The present invention relates to a video signal processing method and apparatus. More particularly, a video signal processing method and a video signal processing apparatus for performing the same are disclosed, the method including obtaining reference line information indicating a reference line for intra prediction of a current block among a plurality of reference lines including neighboring samples of the current block, determining an intra prediction mode for the current block among a plurality of intra prediction modes constituting an intra prediction mode set based on the reference line information, and decoding the current block based on a plurality of reference samples on a reference line according to the reference line information and the determined intra prediction mode, wherein the plurality of reference lines include a first reference line including the neighboring samples on a line adjacent to a boundary of the current block and a second reference line including the neighboring samples on a line spaced apart from the boundary of the current block by a distance corresponding to a predetermined number of samples.

The present invention relates to an image decoding method using residual information in an image encoding system and an apparatus thereof. According to the present document, an image decoding method performed by a decoding apparatus includes the steps of receiving a bitstream including residual information of a current block; deriving a particular number of context-coded bins for a context syntax element of a current sub-block of the current block; decoding the context syntax element of the current sub-block included in the residual information based on the particular number; deriving transform coefficients of the current sub-block based on the decoded context syntax element; deriving residual samples of the current block based on the transform coefficients; and generating a reconstructed picture based on the residual samples.

The present invention relates to an image decoding method using residual information in an image encoding system and an apparatus thereof. According to the present document, an image decoding method performed by a decoding apparatus includes the steps of receiving a bitstream including residual information of a current block; deriving a particular number of context-coded bins for a context syntax element of a current sub-block of the current block; decoding the context syntax element of the current sub-block included in the residual information based on the particular number; deriving transform coefficients of the current sub-block based on the decoded context syntax element; deriving residual samples of the current block based on the transform coefficients; and generating a reconstructed picture based on the residual samples.

This disclosure relates to a map data processing method, apparatus, device, and storage medium. The method includes: determining initial map data elements in response to a target operation instruction during the map data production stage; determining a target compilation module based on the initial map data elements and the corresponding target element relationships; and invoking the target compilation module to compile map data for the initial map data elements and the associated map data elements corresponding to the target element relationships, generating product map data elements. This achieves map data compilation for local map data elements, improving the efficiency and real-time performance of map data compilation; furthermore, it allows the compilation of local map data elements to be performed before the map data production stage or the map data master library stage, greatly improving the flexibility of map data compilation.

The disclosure provides a neural network computing graph processing method and device, electronic equipment and computer readable medium, the neural network computing graph includes a plurality of operator nodes, and the processing method comprises the following steps: determining all target operator nodes in the neural network computing graph according to the output connection relationship of the plurality of operator nodes, the target operator node is an operator node with a first output end and a second output end, and the operator node connected with the first output end is a data output node; the neural network computing graph is split into a plurality of serially connected computing subgraphs with the second output end of the target operator node as a splitting point, and the output end of the operator node connected with the second output end is connected with other operator nodes; and generating an executable file corresponding to each computing subgraph according to each computing subgraph in sequence. According to the technical scheme of the disclosure, the automatic splitting of any neural network computing graph can be realized, the compiling efficiency and effect of the neural network computing graph are improved, and the compiling difficulty is reduced.

The present invention relates to an image decoding method using residual information in an image encoding system and an apparatus thereof. According to the present document, an image decoding method performed by a decoding apparatus includes the steps of receiving a bitstream including residual information of a current block; deriving a particular number of context-coded bins for a context syntax element of a current sub-block of the current block; decoding the context syntax element of the current sub-block included in the residual information based on the particular number; deriving transform coefficients of the current sub-block based on the decoded context syntax element; deriving residual samples of the current block based on the transform coefficients; and generating a reconstructed picture based on the residual samples.