128results about "Conditional code generation" patented technology

The invention discloses an off-line function verification system for an intelligent electric actuating mechanism, and the system comprises an off-line function verification unit which achieves the data interaction through the connection with a system signal terminal unit of the intelligent electric actuating mechanism, so as to achieve the off-line function verification function of the intelligent electric actuating mechanism. The offline function verification unit is an integrated module and comprises a man-machine interaction module, a host control module, an interface module, an instruction control module, a control power supply control module and a power supply control module; the problems that a large amount of manpower and time are consumed, the test process is tedious, the work efficiency of the original test process is low, human errors and test record detection errors are prone to occurring, data analysis depends on manpower, and the error risk is increased due to the fact that a traditional test method at the present stage consumes operations such as frequently changing used tools and modifying wiring in the test process are solved.

The invention discloses an agent configuration method and device based on front-end interaction and a medium, and relates to the technical field of computers.The method comprises the steps that a user interaction behavior is received through a front-end interaction interface, the user interaction behavior is analyzed, and a corresponding response instruction is generated; executing the response instruction, creating a plurality of agent nodes, and configuring corresponding role information; determining a task dependency relationship between the agent nodes, and constructing an agent node relationship graph through a preset task execution rule; receiving and analyzing a to-be-executed task, extracting required agent role information, determining to-be-executed agent nodes, and determining a to-be-executed sequence corresponding to the to-be-executed agent nodes according to the agent node relation graph; and calling the agent models corresponding to the to-be-executed agent nodes in sequence, executing the to-be-executed task, and updating the state parameters. Through deep fusion of front-end visual interaction and automatic process arrangement, the intuition and efficiency of the configuration process are improved.

The invention relates to a control method, device and equipment of a combine harvester, a storage medium and a product. The control method of the combine harvester comprises the following steps: acquiring target parameters of a target combine harvester; generating a control instruction according to the target parameter and the parameter threshold; and according to the control instruction, controlling and adjusting operation parameters of the target combine harvester. By the adoption of the method, grain loss can be effectively reduced, the grain breakage rate is reduced, the cleanliness of the grains is improved, and then the overall quality of grain harvesting is improved. Besides, manual intervention is not needed in the process, dependence on experience of operators can be reduced, the problems of improper parameter adjustment and the like caused by errors in the manual adjustment process are avoided, and stability and consistency of operation parameters are ensured.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as personal intelligence, financial science and technology, medical health and the like, and discloses an action instruction sequence generation method, device, equipment and medium. Generating an attention weight based on the visual feature vector and the tactile feature vector, fusing the visual feature vector and the tactile feature vector to generate a fusion feature vector, and constructing a reinforcement learning model state space containing environment state information and the fusion feature vector; a sequence of action instructions is generated by a reward function in response to a task target approach event or an obstacle collision event based on the state space. According to the method, through combination of multi-modal information fusion and reinforcement learning state space construction, the perception ability and action decision-making ability of the intelligent agent in a complex environment are improved, and autonomy, flexibility and stability of task execution are remarkably enhanced.

The invention relates to the technical field of knitting, and discloses a circular weft knitting machine multi-jacquard process weaving method, device and equipment and a storage medium, the method is used for splicing process files so as to achieve multi-jacquard continuous weaving operation of circular weft knitting machines, and the method comprises the steps of obtaining target cloth design requirements, and according to the target cloth design requirements, obtaining a multi-jacquard process of the circular weft knitting machines; determining a jacquard pattern number, a jacquard pattern weaving frequency and a jacquard pattern weaving sequence corresponding to the target cloth design requirement, and querying from a pre-constructed process file library according to the jacquard pattern number to obtain a process file corresponding to the jacquard pattern number, splicing the process files according to the jacquard pattern weaving times and the jacquard pattern weaving sequence to generate a spliced file; analyzing the spliced file to obtain weaving data corresponding to the target cloth design requirement; and generating a weaving instruction according to the weaving data to control the circular weft knitting machine to perform weaving operation.

The invention relates to the technical field of data processing systems, and discloses a conference information intelligent data processing system based on multi-modal data fusion, and the system comprises a transaction template generation unit which calls a model from a preset rule base to generate a structured data container with an attribute field; the dual-channel feature extraction unit is used for distributing the voice to service data and a control instruction channel, extracting the service data to an independent cache region and monitoring a control keyword; the state control unit is used for unlocking the container only when the confirmation instruction is received, verifying data and writing a field to generate a transaction submission instruction; according to the system and the method, physical isolation of data flow and control flow is realized through a dual-channel architecture, a control instruction is used as a unique logic gating, non-decisive negotiation noise is filtered from the source, and atomicity and compliance of conversion from unstructured conference data to structured management transactions are ensured.

The invention relates to the technical field of intelligent network connection, in particular to a driving task arrangement generation method and device, a vehicle, a medium and a program product, and the method comprises the steps: obtaining task information and resource information of at least two tasks in driving task arrangement; determining at least one optimization target of task arrangement based on the task information and the resource information; and inputting the task information and the resource information into a pre-trained large language model to output initial task scheduling data meeting at least one optimization target, and verifying the initial task scheduling data until task scheduling data meeting a preset verification condition is obtained. Therefore, the problems that in the related technology, manual analysis is prone to errors, the management efficiency is low, and the actual use scene cannot be adapted are solved; model processing depends on a fixed rule, is lack of dynamic scheduling capability, increases response delay of a system, causes task timeout, and cannot guarantee reliability and safety of a driving task.

Disclosed in the present application is a tensor processing unit. The tensor processing unit comprises: an instruction sequence module, which is configured to generate a first instruction sequence and / or a second instruction sequence on the basis of a tensor operation instruction and preset configuration information, wherein the first instruction sequence comprises a plurality of first operation instructions, the second instruction sequence comprises a plurality of second operation instructions, and the preset configuration information comprises first configuration information and / or second configuration information; a data loading module, which is configured to sequentially load, on the basis of the first instruction sequence or the second instruction sequence, into corresponding registers data to be operated; a first computing module, which is configured to sequentially read, on the basis of the first instruction sequence, data from the registers, so as to perform in-memory computing; and a second computing module, which is configured to sequentially read, on the basis of the second instruction sequence, data from the registers, so as to perform non-in-memory computing. Further provided in the present application is a tensor processing method. A unified macro instruction is used to call different computing modules for in-memory computing or non-in-memory computing, thereby reducing the programming complexity and improving the computing efficiency.

The invention discloses a multi-dimensional sensing system, device and method based on an end-side large model, and the method comprises the steps: obtaining multi-modal sensor data in real time, including environment data, audio data and visual motion data; based on the signal variation, the historical standard deviation and the preset environment weight of each sensor, an environment anomaly index is calculated in combination with the time period factor; calculating a user intention confidence coefficient based on a cross-correlation value of the audio data and the visual motion data, a visual motion information entropy and a personnel existence probability; and when the environment anomaly index is greater than a preset safety threshold value or the user intention confidence coefficient is greater than a preset intention threshold value, triggering an end-side large model to analyze multi-modal sensor data and generate a control instruction. The invention relates to the technical field of multi-dimensional perception, and solves the technical problems of overhigh equipment energy consumption and potential safety hazard early warning lag caused by large-model real-time reasoning in a smart home scene.

The invention provides a command processing circuit, a command processing method and a PIM device. The command processing circuit comprises a PIM command identification module which is electrically connected with a command address bus of the PIM device and is configured to receive a command signal through the command address bus and judge the type of the currently received command signal; if it is judged that the currently received command signal is a DRAM conventional command, the command signal is sent to a conventional command processing module; if it is judged that the currently received command signal is a PIM related command, the command signal is sent to a PIM command processing module; the PIM command processing module is electrically connected with the PIM command identification module and is configured to receive a PIM related command, decode the PIM related command and perform corresponding operation according to a decoding result; and the conventional command processing module is electrically connected with the PIM command identification module and is configured to receive the DRAM conventional command and decode the DRAM conventional command. The method is at least beneficial to avoiding mode switching and improving system performance.

Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may obtain an indication of a set of graphics instructions. The apparatus may also determine whether each graphics instruction in the set of graphics instructions is associated with a resonance frequency that is above or below a threshold. Further, the apparatus may adjust an activity level for each graphics instruction in the set of graphics instructions based on the resonance frequency being above or below the threshold.

In response to an authentication code generating class of instruction, processing circuitry generates an authentication code associated with an authentication target value by applying a code generating function to the authentication target value, a key, a first modifier value and a second modifier value. For an authentication code setting instruction, the generated authentication code is written to a destination register. For an authentication code checking instruction, the processing circuitry checks whether the authentication code generated based on the authentication target value in response to the authentication code checking instruction corresponds to a reference authentication code obtained from a source register, and triggers an error response when they do not correspond. The first modifier value comprises a stack-pointer- dependent value. For at least one of the authentication code setting / checking instructions, the second modifier value comprises a program-counter-dependent value.

The embodiment of the invention provides a control program generation method and device of equipment, the equipment and a medium. The method comprises the steps that a program generation request of a user for target equipment is received; the program generation request comprises equipment information of target equipment and a target control instruction of the target equipment; determining a use scene of the target equipment according to the equipment information of the target equipment; determining a dependency relationship of the target control instruction according to the use scene of the target equipment; the dependency relationship is a relationship between a target control instruction and at least one other control instruction required to be executed for realizing the target control instruction; and determining a target control program according to the dependency relationship of the target control instruction. According to the embodiment of the invention, the target control instruction of the user is combined with the equipment information and mapped to the specific equipment use scene, the control dependency relationship and the constraint condition are identified based on the use scene, the control program conforming to the actual working condition is generated, manual code writing is not needed, and the industrial control program development efficiency and scene adaptability are improved.

Systems and methods for enhanced global flags for synchronizing coprocessors. An example processor system includes a plurality of coprocessors configured to compute a processing task, wherein individual coprocessors are connected to individual remaining coprocessors via a plurality of connections, wherein each connection from a coprocessor to a different coprocessor is configured to be asserted, or de-asserted, to indicate a status associated with a global flag of a plurality of global flags, and wherein the global flag is set based on the plurality of coprocessors asserting the global flag.

An instruction configured to perform data conversion is executed. The executing the instruction includes determining that an overflow condition exists in a change of a value, specified by the instruction, from one data format to another data format. It is determined that an overflow result control of the instruction is set to a selected value. A result of executing the instruction is provided. The providing the result includes placing a chosen default value in a result location based on determining that the overflow condition exists and that the overflow result control is set to the selected value.

A storage device, a method for booting the storage device, and a host device are provided. The method includes: receiving a unique identifier as part of establishing a transmission connection between the storage device and the host device; determining whether the unique identifier is matched with a pre-configured unique identifier; and reloading configuration data corresponding to the one or more configuration operations defined in the boot sequence from a configuration file stored in a memory of the storage device when it is determined that the received unique identifier matches a pre-configured unique identifier.

A semiconductor system includes a controller outputting a chip selection signal and a command address for performing a read operation and then outputting the chip selection signal and the command address for performing an ECS operation, and a semiconductor device including a plurality of memory cells and generating a latch row address and a latch column address by latching the command address when an error occurs in internal data that are output from a memory cell that is selected, among a plurality of memory cells, after the start of the read operation based on the chip selection signal and the command address, determining the priority of the ECS operation for the plurality of memory cells based on the latch row address and the latch column address, and storing the internal data in the same memory cell again by correcting the error of the internal data.

Provided in the present disclosure are a command processing circuit, a command processing method, and a PIM apparatus. The command processing circuit comprises: a PIM command identification module, which is electrically connected to a command address bus of a PIM apparatus and is configured to receive a command signal by means of the command address bus, determine the type of the currently received command signal, send, when it is determined that the currently received command signal is a conventional DRAM command, the command signal to a conventional command processing module, and send, when it is determined that the currently received command signal is a PIM-related command, the command signal to a PIM command processing module; the PIM command processing module, which is electrically connected to the PIM command identification module and is configured to receive the PIM-related command, decode the PIM-related command, and perform a corresponding operation on the basis of a decoding result; and the conventional command processing module, which is electrically connected to the PIM command identification module and is configured to receive the conventional DRAM command and decode the conventional DRAM command. The present disclosure is at least conducive to avoiding mode switching and improving system performance.

The present application relates to the technical field of artificial intelligence, is applied to robot control, machine vision, automatic driving and other business scenes, performs action prediction by using an action prediction model obtained by performing potential action pre-training and real action post-training based on an unsupervised mode, can effectively improve the accuracy of action prediction, and improves the accuracy of action prediction. And therefore, the probability of operation errors when task operation is performed according to the predicted action is reduced. Relates to an action prediction method and device, equipment and a medium. The method comprises the following steps: acquiring video stream data of a target object and a language instruction corresponding to the video stream data; inputting a language instruction corresponding to the video stream data and the video stream data into a trained action prediction model for action prediction to obtain an action prediction result, the action prediction model being a model obtained by performing potential action pre-training and real action post-training based on an unsupervised mode in advance; and determining an action instruction according to the action prediction result, and controlling the target object to perform task operation based on the action instruction.

The present invention relates to the technical field of computer algorithms, and particularly to a coprocessor for the replacement process in a data fusion algorithm based on an auction algorithm. The coprocessor includes a coprocessor, and the internal circuit of the coprocessor contains a control logic and a computing unit. The control logic unit is used to control the data flow control of the entire computing unit and the data reading and writing with the storage cache. The computing unit is responsible for calculating a pair of data transmitted from a custom instruction, comparing whether the values read from two storage caches are the same, and sending the comparison result to the control logic. For an algorithm with repeated and regular operation steps, implementing it using a finite state machine saves a large amount of time compared to implementing it using a processor. At the same time, through reasonable design, the two data retrievals and comparisons of each group of numbers are synchronized, and optimization is carried out at the algorithm level, doubling the efficiency. By utilizing the characteristics of a dual-port cache, a direct interaction method between the peripheral device and the coprocessor is achieved, rather than accessing the on-chip storage through an ROCC interface.

This disclosure provides an instruction generation method, a data processing method, and an electronic device. In the instruction generation method, a hardware parameter of a neural network processor performing data processing is first determined; a data parameter of to-be-processed data is determined, where the data parameter includes a data type and a quantity of data bits of the to-be-processed data, and the data type includes a signed integer and an unsigned integer; and an instruction for data processing that is executable by the neural network processor is generated based on the hardware parameter and the data parameter. According to this disclosure, the hardware parameter of the neural network processor and the data parameter of the to-be-processed data are comprehensively considered when generating the instruction for data processing that is executable by the neural network processor.

The embodiment of the invention discloses an excitation instruction generation method and device, electronic equipment and a storage medium, relates to the technical field of integrated circuits, and aims to quickly generate an excitation instruction for an abnormal test and effectively reduce test case generation time. The method comprises the following steps: acquiring a standard instruction set and abnormal condition description information of the standard instruction set; wherein the standard instruction set comprises a standard instruction; the abnormal condition description information comprises an interrupt vector number and an interrupt error code; according to the abnormal condition description information, abnormal error injection codes are constructed for the standard instructions in the standard instruction set; and generating an excitation instruction for an abnormal test based on the standard instruction and the abnormal error injection code. The method is suitable for excitation instruction generation.

The invention provides an instruction processing method and device, electronic equipment, a chip and a storage medium, and the method comprises the steps: employing a first branch predictor to predict the branch direction of a current instruction in response to the current instruction being a conditional branch instruction, so as to obtain a first prediction result; wherein the first prediction result is used for indicating whether jumping occurs or not after the current instruction is executed; in response to the current instruction being a cyclic branch instruction, predicting the branch direction of the current instruction by adopting a second branch predictor to obtain a second prediction result; wherein the second prediction result is used for indicating whether jumping occurs or not after the current instruction is executed; and in response to the fact that the second prediction result is different from the first prediction result, the second prediction result is adopted to correct the first prediction result, so that the accuracy of the first prediction result is improved, and based on the accurate first prediction result, the performance loss caused by prediction errors can be reduced.

A processor is able to re-encode a normal value of a first floating point format to a normalized floating point format, and re-encode a subnormal value of the first floating point format to the normalized floating point format. A subset of the exponent bits of the exponent field of a normalized floating point format is used to encode a predetermined indication of being an exceptional value, wherein a combination of bit values used to encode this predetermined indication does not occur within a range of the exponent field of the normalized floating point format used to represent any possible non-exceptional, normal and subnormal values.

The present invention relates to the field of data processing and discloses a serial port instruction optimization method, apparatus, device, and computer storage medium. The method comprises: obtaining input target parameters, configuring a preset serial port parameter according to the target parameters to obtain a target serial port; if an input communication connection instruction is obtained, determining a target product to which the target serial port is to establish a connection according to the communication connection instruction; determining an interrupt instruction according to the target product, and binding a corresponding interrupt controller according to the interrupt instruction; and controlling the target serial port based on the interrupt controller to optimize the serial port instruction. The present invention improves the accuracy of product testing by optimizing serial port instructions.

The invention discloses an instruction generation method and device, equipment, a storage medium and a program product, and relates to the technical field of machine learning. The method comprises the following steps: acquiring a first natural language instruction, wherein the first natural language instruction is used for indicating to realize a first function through computer equipment; obtaining a function vector set, wherein the function vector set comprises function feature vectors corresponding to a plurality of performance functions respectively; recalling at least one candidate performance function meeting a correlation degree requirement from a function vector set based on a vector correlation degree between a first feature vector corresponding to the first natural language instruction and a plurality of function feature vectors; based on the first natural language instruction and the at least one candidate performance function, an equipment driving instruction is constructed, and the content of the equipment driving instruction comprises a target performance function in the at least one candidate performance function and a first parameter of the target performance function when the first function is achieved, the first parameter is a function parameter obtained based on analysis of the first natural language instruction.

The present invention relates to the technical field of satellite remote control information processing, and particularly relates to a method, system, storage medium and electronic device for batch generating remote control instructions of a satellite. The method includes: respectively determining the fixed characters of each four-byte basic instruction code; splicing any four-byte basic instruction code and the fixed characters corresponding to the four-byte basic instruction code to obtain the instruction valid data corresponding to the four-byte basic instruction code, performing exclusive OR and parity check on the instruction valid data corresponding to the four-byte basic instruction code, generating two-byte parity check codes corresponding to the four-byte basic instruction code, and performing splicing to obtain the valid test instruction corresponding to the four-byte basic instruction code until the valid test instructions corresponding to each four-byte basic instruction code are obtained. It can batch generate valid test instructions, greatly improving the efficiency of instruction generation and also solving the problem of instruction version control caused by frequent changes in the technical state.

A method, device, and system for performing a partial sum accumulation of a product of input vectors and weight vectors in a wordwise-input and bitwise-weight manner results in a partial accumulated product sum. The partial accumulated product sum is compared with a threshold condition after each weight bit, and when the partial accumulated product sum meets the threshold condition, a skip indicator is asserted to indicate that remaining computations of a sum accumulation are skipped.