9results about How to "Save memory space" patented technology

This application relates to a data storage method, apparatus, vehicle, electronic device, and storage medium. The method includes: determining the computation order of N operators included in a neural network; determining M operators from the N operators based on the computation order; calculating the i-th operator among the N operators according to the computation order to obtain the output of the i-th operator; if the i-th operator is one of the M operators, then saving the output of the i-th operator to a first type of storage space, wherein the output of the i-th operator saved in the first type of storage space cannot be deleted after calculating the (i+1)-th operator but before calculating the k-th operator; if the i-th operator is not one of the M operators, then saving the output of the i-th operator to a second type of storage space, wherein the output of the i-th operator saved in the second type of storage space can be deleted after calculating the (i+1)-th operator. This method can solve the problem of excessive memory consumption during the computation of a neural network model.

This invention relates to the field of multimedia video processing and playback control technology, specifically a video segment-level content management and control method and system, comprising: a time-series discrete mapping step: obtaining a server-side rule set and mapping it to a time-series state index structure with video durations divided into discrete-time graticles; an asynchronous look-ahead detection step: calculating the look-ahead time based on the current playback time using an independent asynchronous thread and reading the corresponding graticle data from the bitmap; an instruction generation and caching step: generating instruction objects based on graticle control identifiers using preprocessing logic and pushing them sequentially into an instruction circular queue; and a frame-level synchronous application step: checking the queue during main playback thread rendering, and applying the instruction if the current time matches the instruction trigger time. This invention reduces playback CPU usage, eliminates micro-stuttering caused by main thread blocking, and ensures accurate triggering of control logic at the frame level.

This application relates to the field of communication technology and provides a number processing method, apparatus, device, and storage medium. The method includes: acquiring user number information to be stored that has the function of receiving smart SMS messages, wherein the user number information to be stored includes first number segment information to be stored and second number segment information to be stored, wherein the first number segment information to be stored is general information for each user number to be stored, and the second number segment information to be stored is specific information for each user number to be stored; deleting the first number segment information to be stored; and storing the user number information to be stored sequentially in a preset array according to the numerical order of the second number segment information to be stored. This solution saves memory space and improves query speed in subsequent queries by customizing and storing the user numbers to be stored.

This application relates to a target data localization method, apparatus, and storage medium. The method includes: traversing a vector image matrix row by row based on matrix row indexes, determining the column index of the first vector data in each row based on preset conditions, and storing them sequentially; traversing the vector image matrix column by column based on matrix column indexes, determining the row index of the second vector data in each column based on the preset conditions, and storing them sequentially; determining the row and column coordinates of the target data based on each column index and its corresponding storage order, and each row index and its corresponding storage order, wherein the target data is determined based on the first vector data and the second vector data, thereby achieving target data localization and solving the problem of high memory resource consumption in target data point localization methods in related technologies.

The application relates to the computer technical field, in particular to a sensitive word storage and retrieval method and system, electronic equipment and storage medium, the method comprises the following steps: storing the sensitive word to be stored to a target sharding service through a target mapping table, wherein the target mapping table comprises a mapping relationship between the target sharding service and the first character of the sensitive word to be stored, the target sharding service is one of a plurality of sharding services in memory, and the target sharding service is a sharding service polled currently; based on the target mapping table and the first character of the word to be retrieved, the sharding service to be retrieved corresponding to the first character of the word to be retrieved is determined; and based on the word to be retrieved and the data stored in the sharding service to be retrieved, the sensitive word retrieval is carried out; the method can preferably improve the storage efficiency and retrieval efficiency of the sensitive word, and the cost is low.

The present application relates to the field of computer vision language and image recognition, and particularly relates to a semantic description and question-answering system establishment method and system for remote sensing disaster detection, which generates text language description capable of accurately responding to task requirements image under the premise of adding text constraints by using image features, and establishes a mapping relationship between the pixel-level segmentation result and the question-answering system, and extracts high-level semantic information, and establishes a question-answering system, which can accurately output answers to disaster inquiry questions. The present application can complete three sub-tasks of semantic segmentation, sentence description and question-answering system by using a set of network models, thereby saving computer memory space and improving response speed, and providing technical support for improving the automation, intelligent level and rapid response capability of the remote sensing disaster detection system.

Embodiments of the present specification provide a data stream processing method and device based on a merge tree model and a storage medium. The data stream processing method comprises: obtaining source data; obtaining a vertex set and an edge data set according to the source data; obtaining an extreme point set and a rule point set according to the vertex set; obtaining a candidate saddle point set according to the extreme point set, the rule point set and the edge data set; obtaining an extreme point-candidate saddle point pair set according to the extreme point set and the candidate saddle point set; obtaining an extreme point-saddle point pair set according to the extreme point-candidate saddle point pair set and a preset vertex distribution rule; adding the extreme point-saddle point pair set to a preset merge tree; and the communication strategy comprises pushing, pulling and publishing / subscription. The technical solution provided by the present application is used to solve the problems in the prior art that the data volume is increasing, the data operation amount is large, the efficiency is low when the distributed nodes update the data, and it is difficult to achieve good performance when the data volume is large or the control flow is complex.

This invention discloses a method, system, device, storage medium, and program product for expanding the capacity of a fixed-length counting array based on address translation to prevent overflow. The method includes the following steps: Step 1: Determine the data type and length of the array counting, and allocate contiguous memory; Step 2: Check if the highest column of the array counting has overflowed. If not, increment the count; if overflowed, jump to Step 3; Step 3: Check the non-highest bit. If the lower 15 bits of the address are not all zeros, jump to Step 4; if they are all zeros, jump to Step 5; Step 4: Calculate the new address position based on the offset of the lower 15 bits, and jump to Step 6; Step 5: Allocate a new memory block, record the offset between the new and old addresses in the lower 15 bits of the original address, and jump to Step 6; Step 6: Increment the uint32 type count of the new address by 1, check if the highest bit is 1. If the highest bit is 1, overflow occurs again, and steps 5 to 6 are repeated. This invention provides an address translation-based scheme that can continue to collect counts and avoid copying existing memory, thus avoiding memory waste, and providing efficient statistical and query performance.

This application discloses a method, apparatus, storage medium, and electronic device for building a tree table, relating to the field of smart home technology. The method for building the tree table includes: parsing first data to be sent to an application to determine a plurality of first protocols used to encapsulate the first data and a nesting relationship of the plurality of first protocols; determining the connection relationship between first child nodes corresponding to the plurality of first protocols according to the nesting relationship of the first protocols, and determining whether there are second child nodes in the tree table, wherein the connection relationship between the plurality of second child nodes is the same as the connection relationship between the plurality of first child nodes; if there are no second child nodes in the tree table, establishing a new branch in the tree table according to the plurality of first child nodes and the connection relationship of the plurality of first child nodes.