37 results about "Check point" patented technology

The invention relates to a GPU (Graphics Processing Unit) check point storage method in large model distributed training, which comprises the following steps of: 1, loading check point configuration information when training is started; 2, monitoring a back propagation completion signal of each layer in the training process, and immediately triggering check point fragment storage operation of a certain layer after parameter updating of the layer is completed; 3, the model state of the layer is asynchronously copied to a CPU memory from a GPU memory, and consistency verification is carried out; 4, asynchronously storing the check point fragments from the CPU memory into a persistent storage; 5, when training needs to be recovered, the check point file is loaded from the persistent storage, integrity verification is carried out, all layers of fragmented data are recombined into a complete model state, and training is recovered. And the synchronous blocking and I / O bottleneck of the check points in the training process are reduced, so that the training efficiency is improved, and the fault recovery time is shortened.

The invention discloses a multi-device collaborative integrated kitchen management system, and relates to the technical field of intelligent kitchen control, and the system comprises the steps: analyzing an order or menu request into a task graph, building dependence, and adding a capability demand, resource mutual exclusion, a quality window, a risk level and migration window, and a check point strategy label for a task node; the edge arrangement gateway collects the equipment state, the resource occupation and the network health degree, and reschedules and generates a main plan and a shadow plan under the constraint of a rolling window and a freezing window; a main plan is converted into an intention type transaction to be issued, idempotent processing is carried out according to a transaction identifier, feeding, discharging and valve opening are carried out, token reservation-consumption is carried out, and account checking and verification are carried out; generating a process check point according to a check point strategy, and executing thermal migration, compensation or security degradation and account checking synchronization according to a migration window and a shadow plan when the process check point is abnormal; repeated actions and state drifting caused by re-delivery are reduced, and the stability of continuous meal delivery is guaranteed.

One or more implementations of this specification provide model training and checkpoint file storage systems and methods. In an implementation, a method includes executing, by a model training module of a storage system, a training task of an artificial intelligence model, during execution of the training task, suspending, by the model training module, the training task if a first checkpoint file is generated and sending a request to a checkpoint file processing module of the storage system to cache the first checkpoint file, locally caching, by the checkpoint file processing module, the first checkpoint file based on the request, and concurrently performing, by the check file processing module, a notification operation and a storage operation.

The invention relates to a large model training check point storage method and device and a storage medium, and the method comprises the steps: when a main training thread executes an iterative training task, through an independently-running asynchronous thread, executing a check point storage operation on the main training thread before the main training thread executes the check point storage operation; a memory space matched with the check point data structure is applied and organized in a CPU memory in advance; when the check point needs to be stored, the main training thread can directly write the latest check point data into the pre-allocated target memory in an overwriting manner, so that time-consuming memory application and organization operation are stripped from a key path of the main thread. Through the method and the device, the influence of check point storage on the training task is reduced, and the utilization rate of the GPU in the training process is effectively improved.

The invention relates to the technical field of artificial intelligence, and particularly provides a check point storage method and device of an artificial intelligence model, a medium and a product. The method comprises the following steps: acquiring storage equipment information and PCIe topological information, and constructing a transmission topological graph based on the storage equipment information and the PCIe topological information; based on the transmission topological graph, determining a target parallel transmission path from the GPU to the storage device; dividing the global check point data into a plurality of check point fragments based on the bandwidth capability of the target parallel transmission path; transmitting the plurality of check point fragments from the GPU to corresponding storage equipment in parallel through a plurality of independent transmission streams; and executing a two-stage persistence operation, and transmitting and storing the check points in the storage device to a remote storage system in a fragmented manner. According to the method provided by the invention, a data transmission path can be systematically optimized, heterogeneous storage resources are cooperatively utilized, and high reliability and rapid recovery capability are considered, so that the training efficiency of a large-scale artificial intelligence model is improved.

The embodiment of the invention provides a training cluster check point storage method, a training cluster check point recovery method and electronic equipment. The training cluster check point storage method comprises the steps that distributed cluster node memories cooperatively store check points, and the memories are used for storing check point data of each round of training. According to the method provided by the embodiment of the invention, cluster memory collaborative management is adopted, the node memory stores the whole check point, and the storage frequency of the check point is improved; in addition, a cluster memory control manages multi-node check points and supports grouped redundant backup; and moreover, the check points are directly stored in the memory, so that the time delay of storing the check points is greatly reduced.

A page distortion correction method and system, an electronic device and a computer readable medium. The page distortion correction method comprises: determining a target text line to be corrected, and selecting a plurality of check points in the target text line, the plurality of check points satisfying that the connecting line of the plurality of check points is coincident with or parallel to a correction reference line when the page is not distorted; comparing the positions of the plurality of check points with the correction reference line, and calculating the offset amount of the check points to be corrected; and correcting each character of the target text line according to the calculated offset amount. The method is simple and efficient, has good restoration, strong adaptability, and the correction result is more stable.

The invention discloses a program execution management method and device, a vehicle and a medium. The method comprises the steps that a program instruction of a vehicle electronic control unit is received; wherein the program instruction is generated when a check point is triggered based on a program execution sequence running in the electronic control unit; analyzing the program instruction to obtain address information of the check point; matching the address information with pre-stored address information to obtain a first matching result; wherein the pre-stored address information is obtained from the cache table; if the first matching result is that the address information is not matched, the address information is locked in a door lock trigger, and fault reporting is carried out through the door lock trigger. According to the technical scheme, the program execution sequence is managed in the system-level chip according to the matching operation of the pre-stored address information in the cache table, an extra CPU period can be avoided or minimized, extra cost and performance overhead are reduced, and safety of vehicle functions is guaranteed.

The invention relates to a method for accelerating model training recovery, electronic equipment and a storage medium. The method comprises the steps of executing a first task for constructing a training component based on an instruction of recovery model training, and independently executing a second task through a concurrent execution unit corresponding to a main execution unit; wherein the second task is used for loading the check point file corresponding to the training component to the memory from the external storage system; wherein the training component comprises a model object and an optimizer object, the check point file comprises state data, stored in historical model training, of the training component, and the first task and the second task are at least partially overlapped in execution time; and in response to an event of completing the first task and the second task, loading the state data in the memory into the corresponding training component to complete state recovery of the training component. According to the method, the parallel support of each task in the model training recovery process can be realized, and the time consumption of model training recovery is effectively reduced.

The invention provides a safety function block active defense method and system for a safety instrument system. The method comprises the following steps: before executing a core algorithm, performing pointer security check and numerical field check on input data of a security function block; if the check is passed, entering a pre-operation stage, and monitoring an operation risk in real time through a preset check point by utilizing a reverse analysis pre-operation algorithm or a soft floating point pre-operation algorithm on the premise of not executing an actual instruction which possibly causes hardware exception; and executing a deterministic output strategy according to a pre-operation result, and outputting a unified hierarchical state code (ERR) through a special state pin. The method has the advantages of endogenous safety, fault behavior determination, high diagnosis precision, high configuration efficiency and the like, controller shutdown caused by data exception can be effectively avoided, and the robustness of an industrial control system is improved.

A payment management system including a payment management unit that initiates a transaction, an operation unit that manages the issuance of at least one certificate, a governance unit that operates based on at least one parameter defined in the at least one certificate; at least one validation unit that receives the at least one certificate and validates portions of the transaction; and a payment unit that issues payment based on the terms of the at least one certificate, where the operation unit crates a governance protocol for each transaction with the governance protocol including at least one epoch and at least one checkpoint.

The present invention relates to a method for setting collision information for simulating robot motion and an apparatus for performing the same, the method including the steps of: obtaining robot installation information about an operation space of a robot, dangerous region information, and body part information in which a collision can occur in each dangerous region; setting a check point for judging a collision danger with respect to the robot; and calculating coordinate information and shape information of the check point based on at least a part of the obtained information and the set check point.

The invention relates to the technical field of data processing, in particular to an electric energy meter AI code review method and system based on check point cues. The method is applied to a system architecture comprising a client and an AI server, and comprises the following steps: inputting an embedded engineering code and a cue word for examination through the client; the client carries out grammatical analysis on the embedded code to form an analysis block; the client combines the analysis blocks with the corresponding cue words and matches standardized information in combination with an external knowledge base to form an examination unit; the AI server receives the review unit, dynamically identifies the problems of array crossing, excessive memory applications and variable defense, and outputs a structured review result; and the client summarizes all review results, performs classified statistics according to defect types, and generates visual reports and logs. According to the invention, the detection accuracy of specific scene defects is obviously improved; and the time cost of diamagical examination and the risk of artificial omission are greatly reduced.

The invention discloses an environment security check method and device for task automatic verification, and a storage medium, and the method comprises the steps: screening all security check personnel according to the check point information of a check point, and determining a target security check personnel in all security check personnel; generating a security check task according to the check frequency and position information in the check point information and the shift information and personnel information of the target security inspector, and sending the security check task to a target security check terminal of the target security inspector; at any moment in the security check task execution process, automatically or responding to a control instruction to obtain a task execution image; and performing compliance examination on the task execution content in the task execution image, and giving an alarm if the task execution content does not meet the rule. According to the invention, high management and control of security check task execution are realized, and the efficiency of environmental security check is improved.

A memory system includes a memory device and a controller. The memory device includes a plurality of memory blocks. The controller recognizes a change in a pattern of a plurality of write data, delays a checkpoint operation associated with a write operation regarding the plurality of write data entries when operational data regarding the plurality of write data entries is within a range that is capable of being stored in a buffer, and performs the checkpoint operation when the operational data is beyond the range.

The invention relates to the technical field of cloud computing, in particular to a check point file synchronization method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a file list cached under a source directory; the check point files in the file list are distributed to all the sending processes through the main control process; sending a query request to a receiver server, and confirming the existence state and file information of the check point file on the receiver server according to feedback information returned by the receiver server; and sending the check point file to the receiving process through the sending process in response to the condition that the existence state is non-existence or the file information is represented to be required to be updated. By setting a plurality of groups of processes and transmitting a plurality of check point files in parallel, network bandwidth resources can be effectively utilized, and the consistency of the files on each server is ensured. By sending the query request in advance, whether the latest check point file exists on the receiver server or not can be checked, repeated transmission is avoided, and waste of bandwidth resources can be reduced.

The invention is suitable for the technical field of databases, and relates to a log analysis method and device, computer equipment and a computer readable medium. Wherein a logic log record corresponding to a transaction is obtained in response to analysis of the redo log, and whether the current time reaches a check point triggering period or not is recognized; if the current time reaches the check point triggering period, determining a target active transaction which is started earliest from the active transactions, and taking a redo log starting point corresponding to the target active transaction and a system logic clock corresponding to the logic log record as candidate check points for associative storage; responding to a received application system logic clock returned by the log application end, and determining a target candidate check point matched with the application system logic clock in the stored candidate check points; and configuring a redo log starting point in the target candidate check points as a formal check point of the redo log. According to the invention, the memory overhead required for promoting the check point can be reduced.

The invention provides a reverse time migration imaging method and device based on lossless compression and a medium, and belongs to the field of seismic exploration data processing. The method comprises the following steps: determining a check point configuration strategy, and generating a check point list; performing forward delay on the shot point wave field to obtain an inspection point wave field; compressing and storing the obtained check point wave field; the receiving point wave field is subjected to reverse continuation to reach a corresponding check point, and the shot point wave field of the check point is read; the shot point wave field of the read check point is decompressed, and shot point wave fields of two time slices of the check point are obtained through calculation; and calculating to obtain a reverse time migration imaging field. According to the method, the IO bandwidth is improved while the storage requirement of the hard disk is reduced, so that the calculation efficiency of overall reverse time migration is improved.

Computer systems for check point identification for a subject through in silico modeling are provided. One or more conditions and a plurality of contacts associated with the subject are identified in a data repository. A subset of decision rules is discovered from among a plurality of decision rules through alignment of a condition in the one or more conditions against the decision rules. The subset of decision rules models a response to the first condition at a first entity. A first decision rule in the subset of decision rules is activated using an evaluation module when a corresponding triggering condition for the decision rule arises in the data repository. A notification rule actionable upon the activating of the first decision rule is identified. A notification is communicated using a computer network to a notification path, consisting of a subset of the plurality of contacts, in accordance with the notification rule.

The invention provides a check point file storage method and device, a check point file acquisition method and device, a medium and a computing device. The storage method of the check point file comprises the steps that according to an adjacent check point of a current check point, the condition meeting the change degree of the adjacent check point relative to a middle check point is determined, and the middle check point represents at least one check point between a nearest base line point and the adjacent check point; determining a storage type of a check point file related to the current check point based on the conforming condition; and saving a checkpoint file related to the current checkpoint based on the saving type.

The invention discloses a GPU reasoning rapid migration method and system based on model segmentation, and belongs to the technical field of GPU reasoning migration. The problems that in the prior art, a traditional GPU reasoning rapid migration method and system are low in reasoning recovery speed and narrow in application range are solved. The method comprises the following steps that during normal operation, a master node executes a reasoning request, a check point is synchronized after a short request is finished, a long request is executed in a blocking mode, an intermediate result and the check point are synchronized after sub-block execution is finished, and when the master node breaks down, a standby node recovers the service state according to the last check point and drifts a cluster service IP to the standby node; according to the method, the time consumption of cross-node migration and state recovery of the reasoning service is shortened, rapid recovery can be realized through fine-grained storage of the reasoning state, the data volume of an intermediate result is reduced, the state synchronization efficiency is improved, service switching without perception of a user is realized, and the method can be applied to GPU reasoning rapid migration of an intelligent reasoning scene.

A method for managing check pointing, including obtaining, by a general processing unit (GPU), checkpoint data associated with a workload, transferring, by the GPU, the checkpoint data to a cache in a top of rack (ToR) switch via a data processing unit (DPU), wherein the GPU and the DPU and located on a physical server and the ToR switch is operatively connected to the physical server, and resuming, by the GPU, execution of the workload after the transferring, wherein the ToR switch transmits the checkpoint data to a storage system that is external to the physical server and the ToR switch.

An information processing method according to an embodiment of the present invention acquires a target document and playbook information including at least a plurality of check criteria including a checkpoint related to the document and a template related to the document, and uses a trained model to generate, on the basis of the playbook information, review information related to the target document based on the checkpoint and / or the template.

The invention provides a model check point file management system, method and device and a storage medium, a distributed cache file system is deployed at a computing node, a local storage cluster is constructed by using a memory and a solid state disk of each computing node, a memory layer and a local persistent storage layer are constructed, the memory layer is preferentially stored during writing, and the local persistent storage layer is stored during writing; and then asynchronously migrating to the persistence layer, so that the performance advantages of the two media are fully exerted. Meanwhile, from the perspective of a file system, storage management is sunk to a file system layer, storage, layering and asynchronous migration of all check point files are completed in the file system, a unified mounting point path is set to serve as a storage entry capable of being accessed by a training frame, the training frame only needs to read and write the path through a standard file interface, and the storage efficiency is improved. Performance optimization can be obtained without perceiving an internal storage hierarchy and asynchronous migration logic, so that framework codes or configurations do not need to be modified.

The utility model discloses an oil drenching ring air tightness testing machine, which comprises a working platform, an annular tool, inner plugs and outer plugs, the working platform is provided with the annular tool, the side wall of the annular tool is provided with a plurality of blocking ports, the inner plugs are arranged right opposite to the inner sides of the blocking ports, the centers of the inner plugs are provided with holes and are provided with positive pressure air passages, and the outer plugs are provided with negative pressure air passages. An outer plug is arranged on the outer side of the blocking opening in a right opposite mode, a hole is formed in the center of the outer plug, a pressure relief air channel is formed in the outer plug, and the outer plug and the inner plug are in coaxial butt joint at intervals through the oil spraying ring so that the positive pressure air channel can be communicated with the pressure relief air channel. Through the above mode, the oil drenching ring airtightness testing machine provided by the utility model realizes airtightness detection of leakage flow of an oil hole through butt joint of the inner plug and the outer plug, and realizes airtightness detection of leakage flow of a sealing ring through cooperation of the sealing cover by using position switching actions of the inner plug and the outer plug. Therefore, the qualification judgment of the air tightness of the oil spraying ring is accurately and quickly realized.

The application provides a wheel robot control method and device based on a check point and electronic equipment, the method comprising: setting a check point in a preset inspection path of a wheel robot; wherein the check point is provided with a beacon, and the beacon stores a standard position of the check point; after the wheel robot completes an inspection task, the robot is controlled to drive to the check point and read the standard position stored by the beacon; a positioning position of the wheel robot at the check point is obtained, and a position deviation between the positioning position and the standard position is determined; if the position deviation is within a preset deviation range, the wheel robot is controlled to drive from the check point to a charging point for charging. This way provides an absolute position reference independent of a dead reckoning system for the wheel robot by setting the check point provided with the beacon in the preset inspection path, ensures the safety of the robot and the charging equipment, ensures the reliable execution of the charging process, and improves the overall stability and efficiency of the inspection task of the wheel robot.

The invention relates to a tensor-oriented large model check point user mode storage method, belongs to the technical field of computer storage, and particularly relates to a tensor-oriented large model check point user mode storage method and a storage medium. According to the method, data and metadata separation management is carried out on the tensor, the tensor works completely in a user mode in an NVMe storage medium, a system kernel and a file management system are bypassed, and a storage object is a native tensor. According to the metadata management service designed by the invention, each tensor is managed through segment and block granularity; and a high-speed mutual conversion operation between a logic address and a physical address is realized in the processes of creating a new tensor and searching the tensor through bit operation by using a segment-based addressing algorithm. In the writing and reading stages, the parallelism is utilized, acceleration is achieved through segmented writing and reading, meanwhile, repeated loading during writing is further reduced by using a block caching method, and the writing operation is accelerated.

Computer systems for check point identification for a subject through in silico modeling are provided. One or more conditions and a plurality of contacts associated with the subject are identified in a data repository. A subset of decision rules is discovered from among a plurality of decision rules through alignment of a condition in the one or more conditions against the decision rules. The subset of decision rules models a response to the first condition at a first entity. A first decision rule in the subset of decision rules is activated using an evaluation module when a corresponding triggering condition for the decision rule arises in the data repository. A notification rule actionable upon the activating of the first decision rule is identified. A notification is communicated using a computer network to a notification path, consisting of a subset of the plurality of contacts, in accordance with the notification rule.

The utility model relates to temperature transmitter technical field especially, more check point with temperature transmitter mounting structure, including jar body and installation mechanism, installation mechanism includes mounting bracket, connecting ring, installation pad, connecting assembly, first high stand, second high stand, two sealing components and protection component, install, install the upper layer temperature transmitter directly on the mounting bracket to make its temperature measurement end into the corresponding protection component, install the middle layer temperature transmitter and lower layer temperature transmitter respectively on the first high stand and the first high stand to make the temperature measurement end of middle layer temperature transmitter and lower layer temperature transmitter respectively pass through two sealing components and the corresponding protection component, through setting the first high stand and the second high stand of different height, make it can install the temperature transmitter of different levels, solved the old adsorption jar through single hand hole installation, the temperature measurement point cannot cover the whole jar body inside, there is temperature measurement blind area, and further influence temperature measurement effect's problem.

An encryption system and method are provided that provide the ability to execute a secure multi-party computation (SMPC) protocol to compute a large function using check points. At each checkpoint, respective parties to the computation write out some encrypted data that can be used to initiate the next stage of the computation between the present check point and the next check point. In this manner, if any participating party experiences a failure, such as a network outage, system crash, disk corruption, etc., during the protocol execution, there is no need to re-start the entire protocol from scratch. This allows for large functions to be practically computed using SMPC.