CN110750295A - Information processing method, device, electronic equipment and storage medium - Google Patents
Information processing method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses an information processing method, which comprises the following steps: acquiring ith input information of an ith target processing unit; wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in series and/or parallel in a combined manner; determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models; configuring the ith input information based on the access standard of the ith interface component to obtain ith target input information; and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result. The embodiment of the application also discloses an information processing device, electronic equipment and a storage medium.
Description
Technical Field
The present application relates to, but not limited to, the field of computer technologies, and in particular, to an information processing method, apparatus, electronic device, and storage medium.
Background
With the rapid development of information technology, a technology of providing a complete artificial intelligence service to a user by combining functional units with different functions has become popular in various industries. At present, companies develop artificial intelligence implementation algorithms for some common functions, such as voice recognition, image recognition, and the like, and a large number of artificial intelligence implementation interfaces exist.
In practical application, the artificial intelligence realization interfaces of different channels have characteristics, and in order to meet different requirements, the artificial intelligence interfaces of different channels need to be combined when necessary, so that complete artificial intelligence service is provided for users. However, the access standards and access modes of the interfaces of different channels are different, and it is very inconvenient to upgrade and develop different interfaces when the interfaces of different channels are combined and called.
Disclosure of Invention
Embodiments of the present application are intended to provide an information processing method, an information processing apparatus, an electronic device, and a recording medium.
The technical scheme of the application is realized as follows:
there is provided an information processing method, the method including:
acquiring ith input information of an ith target processing unit; wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in series and/or parallel in a combined manner;
determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models;
configuring the ith input information based on the access standard of the ith interface component to obtain ith target input information;
and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result.
Provided is an information processing apparatus including:
the acquisition module is used for acquiring ith input information of the ith target processing unit; wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in series and/or parallel in a combined manner;
the determining module is used for determining the ith interface component from the interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models;
the configuration module is used for selecting the ith interface component from the plurality of interface components and configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information;
and the processing module is used for calling the ith interface component through the ith target processing unit and processing the ith target input information to obtain an ith processing result.
There is provided an electronic device comprising a processor and a memory configured to store a computer program capable of running on the processor,
wherein the processor is configured to execute the steps of the information processing method when running the computer program.
There is provided a storage medium characterized by storing one or more programs which are executable by one or more processors to implement the steps of the above-described information processing method.
According to the information processing method, the information processing device, the electronic equipment and the storage medium, the ith input information of the ith target processing unit is acquired; determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models; configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information; and calling the ith interface component through the ith target processing unit to process the ith target input information to obtain an ith processing result. Therefore, when the electronic equipment processes information through each target processing unit, the interface components to be called can be determined from a plurality of different platforms, dynamic mixed calling among different platforms is realized, the design flow is simplified, and the processing efficiency is improved.
Drawings
Fig. 1 is a schematic flowchart of an information processing method according to an embodiment of the present application;
FIG. 2 is a process flow diagram of an artificial intelligence processing system provided by an embodiment of the present application;
fig. 3 is a schematic flowchart of another information processing method provided in an embodiment of the present application;
fig. 4 is a flowchart illustrating another information processing method according to an embodiment of the present application;
FIG. 5 is a process flow diagram of another artificial intelligence processing system provided by an embodiment of the present application;
fig. 6 is a schematic structural component diagram of an electronic device according to an embodiment of the present application;
fig. 7 is a schematic diagram illustrating a hardware structure of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
Example one
An embodiment of the present application provides an information processing method, which is shown in fig. 1 and includes the following steps:
102, determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models;
103, configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information;
and 104, calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result.
Wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in a series and/or parallel combination mode.
Here, the main body of the execution of steps 101 to 104 is a processor of an electronic device, where the electronic device may include a smart phone, a tablet computer, a notebook computer, an industrial computer, a Mobile Internet Device (MID), and the like.
In the embodiment of the application, a user can construct an artificial intelligence processing system capable of realizing a specific function through a visual interface of the electronic device. Wherein, the artificial intelligence processing system can be represented by a processing flow chart. The processing flow diagram includes at least one input interface, an output interface, and N target processing units. Here, the N target processing units in the processing flow diagram can be connected in combination in series and/or parallel. The information to be processed can be transmitted between each target processing unit according to the serial-parallel combination mode between the target processing units. When the information to be processed passes through the target processing unit, the information is processed by the functional unit, and the processed result is output to the next functional unit or the output interface.
Illustratively, as shown in fig. 2, a flowchart of a process for implementing video sensitive information detection may include an input interface 21, a first target processing unit 22 implementing a speech recognition function, a second target processing unit 23 implementing an image sensitive region recognition function, a third target processing unit 24 implementing text sensitive word recognition, and an output interface 25. Wherein, the input interface 21 is respectively connected with the first target processing unit 22 and the second target processing unit 23; the first target processing unit 22 and the third target processing unit 24 are connected in series, and the second target processing unit 23 is connected in parallel with the first target processing unit 22 and the third target processing unit 24, respectively. Finally, the output of the second target processing unit 23 and the output of the third target processing unit 24 are connected to an output interface 25.
In the example of fig. 2, the information to be processed may be video data, the video data is processed through the processing flow chart of the video sensitive information detection, and finally, the processing result obtained by the processing unit 22 for identifying the sensitive word and the processing structure obtained by the processing unit 23 for identifying the image sensitive area are fused to obtain the video sensitive information detection result as an output.
It should be noted that each target processing unit can implement a specific function, and the functions implemented by different target processing units may be the same or different; for example, the ith target processing unit is used for implementing a voice recognition function, the (i + 1) th target processing unit is used for implementing a face recognition function, and the (i + 2) th target processing unit can also implement the voice recognition function.
In this embodiment of the present application, the electronic device may receive a request message before step 101; the request message is used to request the N target processing units in the artificial intelligence processing system. The request message at least comprises information to be processed; and the electronic equipment receives the information to be processed, and processes the information to be processed through the artificial intelligence processing system to obtain a final processing result.
Further, in the process of processing the information to be processed by using the artificial intelligence processing system in step 101, when the processing flow is located in the ith target processing unit, the electronic device first acquires input data of the ith target processing unit.
Here, the input data of the ith target processing unit may be obtained according to the connection relationship of the ith target processing unit and/or the information to be processed.
In the implementation of the present application, there are multiple different interface components for each target processing unit in the artificial intelligence processing system, and the multiple different interface components can implement the specific function corresponding to the target processing unit. Here, the plurality of different interface components may originate from a plurality of different platforms. In particular, the interface components provided by different platforms are built based on different training models.
For example, for a target processing unit implementing a voice recognition function, companies such as association, google, microsoft, amazon, science news, hundredth, Tencent, and the like all provide interface components with a voice recognition model for use, and an appropriate interface component can be selected from the interface components as needed to call, so as to implement a function corresponding to the target processing unit.
Specifically, step 102 the electronic device determines an ith interface component from a plurality of interface components provided by different platforms.
In the embodiment of the present application, a target processing unit with a function corresponds to a plurality of interface components that implement the same function, where the plurality of interface components are provided by different platforms. Here, the electronic device may determine an appropriate interface component as the ith interface component from among a plurality of interface components provided by a plurality of platforms, according to a function to be implemented by the ith target processing unit.
Optionally, the electronic device determines the ith interface component from the interface components provided by the multiple platforms, which may be determined by the user, or determined by the electronic device according to a recommendation algorithm.
It should be noted that step 101 and step 102 may be executed simultaneously.
Here, the plurality of different interface components are derived from different platforms, and thus, the access specifications and the access modes of the plurality of different interface components are different. In order to implement effective call to the ith interface component to implement the function of the ith target processing unit, reconfiguration needs to be performed on data accessed to the ith interface component.
Specifically, in step 103, the electronic device may obtain an input standard of the ith interface component, and configure the ith input information corresponding to the ith target processing unit based on the input standard, so that the input to the ith interface component is in accordance with the access specification of the ith interface component, thereby avoiding an incompatibility problem when the ith interface component is called.
In the embodiment of the application, the ith target input information is obtained by configuring the ith input information. And further, the ith target input information is used as an input parameter, and an ith interface component provided by the target platform is called to process the ith target input information to obtain an ith processing result corresponding to the ith target processing unit.
Further, the electronic device continues to acquire the (i + 1) th input information of the (i + 1) th target processing unit, and performs the processing from step 101 to step 104 on the (i + 1) th input information. Until obtaining the Nth processing result corresponding to the Nth target processing unit.
The information processing method provided by the embodiment of the application acquires the ith input information of the ith target processing unit; determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models; configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information; and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result. Therefore, when the electronic equipment processes information through each target processing unit, the interface components to be called can be determined from a plurality of different platforms, dynamic mixed calling among different platforms is realized, the design flow is simplified, and the processing efficiency is improved.
Example two
Based on the foregoing embodiments, an embodiment of the present application provides an information processing method, which is shown in fig. 3 and includes the following steps:
step 301, the electronic device determines a target processing unit connected to the input end of the ith target processing unit based on the serial and/or parallel combined connection relationship between the N target processing units.
In this embodiment of the application, the connection mode of each target processing unit in the artificial intelligence processing system is different, and the function implemented by each target processing unit is different, which determines that the input information of each target processing unit is different.
In order to be able to determine the input information of the i target processing units, the electronic device needs to determine the target processing unit connected with the input end of the i-th target processing unit based on the serial and/or parallel combination connection relationship among the N target processing units. And determining the input information of the ith target processing unit based on the target processing unit connected with the input end of the ith target processing unit.
Step 302, the electronic device determines the input information of the ith target processing unit based on the received information to be processed and/or the output information of the target processing unit connected with the input end of the ith target processing unit.
For example, as shown in fig. 2, an input end of a first target processing unit is connected to the input interface, and it is determined that input information of the first target processing unit is to-be-processed information; the input end of the third target processing unit is connected with the output end of the first target processing unit, and the input information of the third target processing unit is the output information of the first target processing unit.
Step 303, the electronic device determines an ith interface component from the plurality of interface components based on the attribute information of the ith target processing unit and/or the attribute information of each interface component in the plurality of interface components.
In this embodiment, the electronic device may determine, for the ith processing unit, a target interface component provided by a target platform as the ith interface component from interface components provided by a plurality of different platforms according to a recommendation algorithm.
Here, the electronic device may automatically determine a target interface component of a target platform from a plurality of different interface components provided by a plurality of different platforms for each target processing unit before the artificial intelligence processing system obtains the input information to be processed. Or when the data flow is transferred to the ith target processing unit, a target interface component of a target platform is automatically determined as the ith interface component from a plurality of different interface components provided by a plurality of different platforms.
In the embodiment of the present application, a plurality of different interface components provided by different platforms have different characteristics, for example, some of the platform-provided interface components have higher processing efficiency, some of the platform-provided interface components have better prediction accuracy, some of the platform-provided interface components have lower use cost, some of the platform-provided interface components have better data processing effect on a specific scene, and the like.
Specifically, the electronic device determines the ith interface component from the plurality of interface components based on the attribute information of the ith target processing unit and/or the attribute information of each of the plurality of interface components.
The attribute information of the target processing unit includes but is not limited to the data size of the input information of the target processing unit, the processing requirement of the target processing unit and the like; here, the processing requirements may include one or more of response time requirements, prediction accuracy requirements, and invocation cost requirements.
The trip information of the interface component includes, but is not limited to, operation information of the interface component. Here, different interface components run on servers of different platforms, and at different times, hardware running information of different servers is different; the operational information of the interface component may include, for example, one or more of processor temperature, processor occupancy, hard disk temperature, memory occupancy, and network occupancy.
Based on the above information, an appropriate ith interface component may be determined for the ith target processing unit to make the call.
Step 304, the electronic device obtains the input standard of the ith interface component.
In the embodiment of the application, a plurality of different interface components are derived from different platforms, and the interface components of the different platforms are obtained based on different training models. In order to realize effective call to the ith interface component to realize the function of the ith target processing unit, reconfiguration needs to be performed on data accessed to the ith interface component.
Here, after determining to call the ith interface component, the electronic device obtains the access standard of the ith interface component from the platform corresponding to the ith interface component. Or, the electronic device acquires the access standard of the ith interface component from a local storage unit of the electronic device.
In the embodiment of the application, the access standard at least comprises the input parameters of the ith interface component and a data input protocol.
And 305, the electronic equipment matches the ith input information with the access standard of the ith interface component, and processes the ith input information according to the matching result to obtain the ith target input information.
Specifically, the electronic device acquires information corresponding to the input parameter of the ith interface component from the ith input information according to the input parameter of the ith interface component, and converts the acquired information corresponding to the input parameter of the ith interface component according to the data input protocol of the ith interface component, so as to input the information of the ith target.
And step 306, the electronic device calls the ith interface component through the ith target processing unit to process the ith target input information to obtain an ith processing result.
Specifically, after determining that the ith target processing unit calls the ith interface component, the electronic device authorizes the target platform corresponding to the ith interface component, after authorization, calls the ith interface component of the target platform, and processes the ith target input information through the ith interface component of the target platform to obtain an ith processing result, so as to realize the function of the ith target processing unit.
And 307, the electronic equipment acquires the output standard of the ith target processing unit.
In this embodiment, the electronic device may convert the processing result of each interface component into data required by the artificial intelligence processing system for processing.
Therefore, the processing result of the ith interface component can be converted according to the output standard of the ith target processing unit to obtain the processing data with unified standard, so that the subsequent flow processing is facilitated.
In an embodiment of the application, the output criteria include at least an output parameter, and a data output protocol.
And 308, the electronic equipment matches the ith processing result with the output standard of the ith target processing unit, and processes the ith processing result according to the matching result to obtain ith output information corresponding to the ith processing unit.
Similar to step 305, specifically, the electronic device acquires information corresponding to the output parameter from the ith processing result according to the output parameter of the ith target processing unit, deletes redundant information of the ith processing result, and converts the acquired information according to the data output protocol of the ith target processing unit to obtain the ith output information.
Further, the electronic device can continue to acquire the (i + 1) th input information of the (i + 1) th target processing unit, and perform the same processing in the above steps on the (i + 1) th input information. Until obtaining the Nth output information corresponding to the Nth target processing unit. Therefore, when processing of each flow is carried out, the electronic equipment can call different interface components from a plurality of different platforms, and therefore the hybrid scheduling algorithm of the interface components of the different platforms is achieved.
The electronic device may perform the processing according to the arrangement order of the N target processing units, or may perform the processing according to the serial and/or parallel connection manner of the target processing units.
It should be noted that, for the descriptions of the same steps and the same contents in this embodiment as those in other embodiments, reference may be made to the descriptions in other embodiments, which are not described herein again.
The information processing method provided by the embodiment of the application acquires the ith input information of the ith target processing unit; determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models; configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information; and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result. Therefore, when the electronic equipment processes information through each target processing unit, the interface components to be called can be determined from a plurality of different platforms, dynamic mixed calling among different platforms is realized, the design flow is simplified, and the processing efficiency is improved.
EXAMPLE III
Based on the foregoing embodiments, an embodiment of the present application provides an information processing method, which is shown in fig. 4 and includes the following steps:
Specifically, the electronic device may obtain a processing unit list and a connection relationship between a plurality of processing units in the processing unit list; here, the processing unit list includes a plurality of processing units having different functions, and input/output parameters of the processing units having different functions.
In other embodiments of the present application, the electronic device may further obtain a plurality of interface component information corresponding to the processing unit of each function in the list. Wherein, the plurality of interface components correspond to different platforms; the interface component information comprises the access standard of the interface component and corresponding platform related information; the platform related information may include address information, authentication information, etc. of the platform.
Furthermore, the electronic device may display the processing unit list, the connection relationship among the plurality of processing units, and the information of the plurality of interface components corresponding to the processing unit of each function on a visual interface of the display unit; and the user can construct an artificial intelligence processing system based on the information.
Specifically, the user can select N target processing units from the plurality of processing units on the visual interface of the display unit; and constructing an artificial intelligence processing system based on the N target processing units.
And step 403, the electronic device constructs a serial and/or parallel combined connection relationship between the N target processing units based on the connection relationship between the functional unit list and the plurality of functional units in the functional list.
Specifically, the electronic device may determine a serial and/or parallel combination relationship between the N target processing units according to the connection relationship between the plurality of processing units in step 401.
The scheme for constructing the artificial intelligence system has the advantages of visualization, low learning cost and low construction difficulty.
The electronic device may perform the processing according to the arrangement order of the N target processing units, or may perform the processing according to the serial and/or parallel connection manner of the target processing units.
For example, the user may construct a corresponding processing flow diagram of the artificial intelligence processing system shown in fig. 5 based on the visual interface, where the artificial intelligence processing system includes a first target processing unit 51, a second target processing unit 52, a third target processing unit 53, a fourth target processing unit 54, a fifth target processing unit 55, a sixth target processing unit 56, a seventh target processing unit 57, an eighth target processing unit 58, an input interface 59, and an output interface 510. Wherein each target processing unit has an interface component corresponding to a plurality of platforms.
Here, the electronic apparatus first executes the first target processing unit 51, the fourth target processing unit 54, and the seventh target processing unit 57 in parallel; wherein, the interface component a provided by the third party platform is invoked when the first target processing unit 71 is executed; invoking the interface component D provided by the other third party platform when executing the fourth target processing unit 54; the seventh target processing unit 57, when executed, invokes the interface component G provided by the other third party platform.
Further, after the first target processing unit 71 finishes executing, the second target processing unit 52 and the third target processing unit 53 are executed in series, and the interface component B and the interface component C provided by different platforms are respectively called to realize the functions of the second target processing unit and the third target processing unit, so as to obtain third output information. After the fourth target processing unit 54 finishes executing, the fifth target processing unit 55 and the sixth target processing unit 56 are executed in series, and the interface component E and the interface component H provided by different platforms are respectively called to obtain fifth output information and sixth output information. After the seventh target processing unit 57 finishes executing, the eighth target processing unit 58 is executed in series, and the interface component H provided by the third party platform is called to obtain eighth output information.
Finally, the third output information, the fifth output information, the sixth output information, and the eighth output information are input to the output interface 510, so as to obtain a final processing result.
Therefore, when the electronic equipment carries out processing of each flow, different interface components can be called from a plurality of different platforms, and therefore the hybrid scheduling algorithm of the interface components of the different platforms is achieved.
The information processing method provided by the embodiment of the application acquires the ith input information of the ith target processing unit; determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models; configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information; and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result. Therefore, when the electronic equipment processes information through each target processing unit, the interface components to be called can be determined from a plurality of different platforms, dynamic mixed calling among different platforms is realized, the design flow is simplified, and the processing efficiency is improved.
Example four
Based on the foregoing embodiments, an embodiment of the present application provides an information processing apparatus, as shown in fig. 6, including:
an obtaining module 61, configured to obtain the ith input information of the ith target processing unit; wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in series and/or parallel in a combined manner;
a determining module 62, configured to determine an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models;
a configuration module 63, configured to select an ith interface component from the multiple interface components, and configure the ith input information based on an access standard of the ith interface component to obtain an ith target input information;
and the processing module 64 is configured to call the ith interface component through the ith target processing unit, and process the ith target input information to obtain an ith processing result.
In other embodiments of the present application, the determining module 62 is specifically configured to determine the ith interface component from the plurality of interface components based on the attribute information of the ith target processing unit and/or the attribute information of each of the plurality of interface components.
In other embodiments of the present application, the configuration module 63 is configured to match the ith input information with the access standard of the ith interface component, and process the ith input information according to a matching result to obtain the ith target input information.
In other embodiments of the present application, the processing module 64 is configured to obtain an output standard of the ith target processing unit; and matching the ith processing result with the output standard of the ith target processing unit, and processing the ith processing result according to the matching result to obtain ith output information corresponding to the ith processing unit.
In other embodiments of the present application, the obtaining module 61 is configured to determine, based on a serial and/or parallel combination connection relationship between the N target processing units, a target processing unit connected to an input end of an ith target processing unit; and determining input information of the i target processing units based on the received information to be processed and/or the output information of the target processing unit connected with the input end of the i-th target processing unit.
In other embodiments of the present application, the obtaining module 61 is configured to obtain a processing unit list and a connection relationship between multiple processing units in the processing unit list; responding to the request information of the user; the request information is used for requesting N target processing units in the processing unit list; and constructing a serial and/or parallel combined connection relation among the N target processing units based on the function unit list and the connection relation among the plurality of function units in the function list.
The information processing device provided by the embodiment of the application can acquire the ith input information of the ith target processing unit; determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models; configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information; and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result. Therefore, when each target processing unit processes information, the interface component to be called can be determined from a plurality of different platforms, dynamic mixed calling among different platforms is realized, the design flow is simplified, and the processing efficiency is improved.
Based on the hardware implementation of the units in the foregoing apparatus, in order to implement the visual dictionary generation method provided in the embodiment of the present application, an embodiment of the present application further provides an electronic device, as shown in fig. 7, where the electronic device 70 includes: a processor 71 and a memory 72 configured to store a computer program capable of running on the processor, wherein the processor 71 is configured to perform the method steps in the preceding embodiments when the computer program is run.
In practice, of course, the various components of the electronic device 70 are coupled together by a bus system 73, as shown in FIG. 7. It will be appreciated that the bus system 73 is used to enable communications among the components. The bus system 73 includes a power bus, a control bus, and a status signal bus in addition to the data bus. For clarity of illustration, however, the various buses are labeled as bus system 73 in fig. 7.
In an exemplary embodiment, the present application further provides a computer readable storage medium, such as a memory 72, comprising a computer program, which is executable by a processor 71 of an electronic device 70 to perform the steps of the foregoing method. The computer-readable storage medium may be a magnetic random access Memory (FRAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an erasable Programmable Read-Only Memory (EPROM), an electrically erasable Programmable Read-Only Memory (EEPROM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM), among other memories.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (10)
1. An information processing method, the method comprising:
acquiring ith input information of an ith target processing unit; wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in series and/or parallel in a combined manner;
determining an ith interface component from interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models;
configuring the ith input information based on the access standard of the ith interface component to obtain ith target input information;
and calling the ith interface component through the ith target processing unit, and processing the ith target input information to obtain an ith processing result.
2. The method of claim 1, wherein determining the ith interface component from among the interface components provided by the plurality of different platforms comprises:
determining an ith interface component from the interface components provided by the plurality of different platforms based on the attribute information of the ith target processing unit and/or the attribute information of each of the plurality of interface components.
3. The method of claim 1, wherein the configuring the ith input information based on the access standard of the ith interface component to obtain an ith target input information comprises:
and matching the ith input information with the access standard of the ith interface component, and processing the ith input information according to a matching result to obtain the ith target input information.
4. The method of claim 1, wherein after obtaining the ith processing result, further comprising:
acquiring an output standard of the ith target processing unit;
and matching the ith processing result with the output standard of the ith target processing unit, and processing the ith processing result according to the matching result to obtain ith output information corresponding to the ith processing unit.
5. The method of claim 4, wherein the obtaining the ith input information of the ith target processing unit comprises:
determining a target processing unit connected with the input end of the ith target processing unit based on the serial and/or parallel combined connection relation among the N target processing units;
and determining the input information of the i target processing units based on the received information to be processed and/or the output information of the target processing unit connected with the input end of the i target processing unit.
6. The method of claim 1, prior to said obtaining an ith input parameter for an ith processing unit, the method further comprising:
acquiring a processing unit list and a connection relation among a plurality of processing units in the processing unit list;
responding to the request information of the user; wherein the request information is used for requesting N target processing units in the processing unit list;
and constructing a serial and/or parallel combined connection relation among the N target processing units based on the connection relation among the functional unit list and the plurality of functional units in the functional list.
7. An information processing apparatus, the information processing apparatus comprising:
the acquisition module is used for acquiring ith input information of the ith target processing unit; wherein i is an integer of 1 or more and N or less; n is the total number of the target processing units, and is an integer greater than or equal to 2; the N target processing units are connected in series and/or parallel in a combined manner;
the determining module is used for determining the ith interface component from the interface components provided by a plurality of different platforms; interface components provided by different platforms are constructed based on different training models;
the configuration module is used for selecting the ith interface component from the plurality of interface components and configuring the ith input information based on the access standard of the ith interface component to obtain the ith target input information;
and the processing module is used for calling the ith interface component through the ith target processing unit and processing the ith target input information to obtain an ith processing result.
8. The information processing apparatus according to claim 7,
the determining module is specifically configured to determine an ith interface component from the plurality of interface components based on the attribute information of the ith target processing unit and/or the attribute information of each of the plurality of interface components.
9. An electronic device comprising a processor and a memory configured to store a computer program operable on the processor,
wherein the processor is configured to perform the steps of the information processing method of any one of claims 1 to 6 when running the computer program.
10. A storage medium characterized by storing one or more programs which are executable by one or more processors to implement the steps of the information processing method as claimed in claims 1 to 6.
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