LoRA | Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models" | Natural Language Processing library

 by   microsoft Python Version: DeBERTa License: MIT

kandi X-RAY | LoRA Summary

kandi X-RAY | LoRA Summary

LoRA is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow, Bert, Transformer applications. LoRA has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install LoRA' or download it from GitHub, PyPI.

There are several directories in this repo:.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              LoRA has a medium active ecosystem.
              It has 4881 star(s) with 260 fork(s). There are 42 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 29 open issues and 18 have been closed. On average issues are closed in 22 days. There are 25 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of LoRA is DeBERTa

            kandi-Quality Quality

              LoRA has no bugs reported.

            kandi-Security Security

              LoRA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              LoRA is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              LoRA releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LoRA and discovered the below as its top functions. This is intended to give you an instant insight into LoRA implemented functionality, and help decide if they suit your requirements.
            • Generate a sequence of Sequences .
            • Perform beam search .
            • Train a discriminator .
            • Convert BERT checkpoint to pytorch .
            • Convert examples to features .
            • Postprocessing postprocessing .
            • Convert a single example .
            • Compute prediction logits .
            • Prepare the given raw_query .
            • Compute log probabilities for each prediction .
            Get all kandi verified functions for this library.

            LoRA Key Features

            No Key Features are available at this moment for LoRA.

            LoRA Examples and Code Snippets

            No Code Snippets are available at this moment for LoRA.

            Community Discussions

            QUESTION

            C++ : why have a return in a if statement?
            Asked 2021-Jun-08 at 19:43

            I've trying to work out why someone would write the following section of code in a Arduino loop. To me, it doesnt make sense, why have a return in a if statement? Does it just return to the start of the loop and not carry on with the rest of the loop. Here's the snippet of interest:

            ...

            ANSWER

            Answered 2021-Jun-08 at 19:34

            After return ; or just return; (for void functions) the program exits from the loop and also from function. The function returns (for non-void functions). This statement applies when executing function already is not requeris.

            Source https://stackoverflow.com/questions/67893383

            QUESTION

            How can a Raspberry PI receives a struct from Arduino?
            Asked 2021-Jun-04 at 01:20

            I am trying to find a solution to this problem for a few days and nothing worked for me so far. I have to mention thou that Python is not my strong point.

            Anyway, I am trying to send a typedef struct using a LoRa transceiver(RFM95) that I programmed with the Radiohead library. The structure looks like this:

            ...

            ANSWER

            Answered 2021-May-27 at 23:28

            That's fairly easy to do with the struct module:

            In your case, you are decoding two doubles, so the format is dd.

            Source https://stackoverflow.com/questions/67730926

            QUESTION

            NoReverseMatch at /cart/ Reverse for 'ProductView' not found. 'ProductView' is not a valid view function or pattern name
            Asked 2021-May-26 at 05:41

            Error

            NoReverseMatch at /cart/ Reverse for 'ProductView' not found. 'ProductView' is not a valid view function or pattern name. Request Method: GET Request URL: http://127.0.0.1:8000/cart/ Django Version: 3.2.3 Exception Type: NoReverseMatch Exception Value:
            Reverse for 'ProductView' not found. 'ProductView' is not a valid view function or pattern name.

            Error Screenshot

            This is where it shows me error, when I try to add a product to cart sessions,tho the product it added to cart sessions but when the url for cart-details is called, while loading the main base.html file it gives me a error that productView cannot be found

            ProductApp Templates 'app/base.html'

            ...

            ANSWER

            Answered 2021-May-26 at 05:41

            The issue is with this commented line,

            Source https://stackoverflow.com/questions/67699066

            QUESTION

            Why isn't this background image being displayed when using a bootstrap template for it
            Asked 2021-May-23 at 10:22

            I have a asp.net application, where I wanted to use a premade bootstrap template for my frontend. I found this one. The original site from the template looks really nice with a background like this:

            I copied all the css into my css folder, and also took the html and cut some parts of it out such that I could just render my own content in it. My _layout.cshtml that should be a scaffolding for other html files looks now like this:

            ...

            ANSWER

            Answered 2021-May-22 at 23:53

            Is your mentioned path (../../wwwroot/assets/home-bg.jpg) correct? because image won't be rendered if path is incorrect, and the background color becomes grey because of the classname mentioned.

            Source https://stackoverflow.com/questions/67654539

            QUESTION

            Could not find a generator for route RouteSettings("todoscreen", Instance of 'ScreenArguments') in the _WidgetsAppState. FLUTTER
            Asked 2021-May-21 at 14:43

            Okay so the reason this error is weird is that it wasn't there till i added bluetooth functionality to my project. If i can't resolve this i might have to make my app from scratch an as a flutter beginner, it took me weeks to get this far. let me just describe my app: It is a health app paired with a wearable band. After login, the user is prompted to connect to a device and once they connect, HomeScreen() is returned which shows the temp and pulse data sent from arduino through bluetooth. For now,pulse is hardcoded but temp is sent from sensor to app, and updated to firestore then retrieved and displayed. So the app has both a user and a caretaker interface.

            here is main.dart

            ...

            ANSWER

            Answered 2021-May-21 at 14:43

            While using Navigator.of(context), Flutter goes through the ancestors in the widget tree to find the nearest Navigator.

            Now, you actually don't spcifically provide any Navigator widget in the tree, so where is your Navigator coming from ?

            That's the MaterialApp.

            Now, you have your main MaterialApp at the root.

            But if you check your btInit widget, you have declared another MaterialApp in it. So when you call, pushNamed('todoscreen'), it is actually getting a hold of the Navigator from the MaterialApp of your btInit widget and not the main one.

            Since, you only defined onGenerateRoute on the main MaterialApp, it is unable to resolve a request for the todoscreen route name.

            Remove the MaterialApp inside your btInit widget and this should be resolved.

            Source https://stackoverflow.com/questions/67638602

            QUESTION

            I am trying to pass multiple arguments to a flutter screen by using generateRoute
            Asked 2021-May-15 at 16:44

            I am trying to do the above in the way shown in How to pass multiple arguments in named route in flutter.

            I basically want to pass 2 parameters: docid and isCaregiver to the homescreen but it shows the error that the parameter is not defined for the class. The class ScreenArguments is the class to pass 2 parameters. Please see the code.

            ScreenArguments.dart

            ...

            ANSWER

            Answered 2021-May-15 at 14:29

            generateRoute function does not know that your arguments are of type ScreenArguments, you should define that explicitly:

            Source https://stackoverflow.com/questions/67547655

            QUESTION

            Removing a space between a header and a paragraph
            Asked 2021-May-01 at 11:07

            I'm making a website and I'm trying to make a logo-like header, with two differently sized lines of text stacked on top of each other. In my case, I'm using a

            on top of a

            . However, there is a big gap between the two lines of text, which I do not want. I've tried setting margin and padding to 0 via CSS, which did reduce the size of the gap but not by much. I've also tried setting line-height as well, making no change.

            Here's my code so far:

            ...

            ANSWER

            Answered 2021-May-01 at 04:22

            You can use line-height.

            From MDN:

            The line-height CSS property sets the height of a line box. It's commonly used to set the distance between lines of text. On block-level elements, it specifies the minimum height of line boxes within the element. On non-replaced inline elements, it specifies the height that is used to calculate line box height.

            Code:

            Source https://stackoverflow.com/questions/67342819

            QUESTION

            Raspberry Pi Pico sending LoRa messages
            Asked 2021-Apr-26 at 19:34

            I'm using two functions from this pico tracker code:

            ...

            ANSWER

            Answered 2021-Apr-26 at 19:34

            Communication does depend on matching the various parameters. With help from the developer of the pico-tracker code I got a pico sending messages to an ESP32 Lolin32 Lite which is using the Arduino LoRa library.

            On the pico:

            Source https://stackoverflow.com/questions/66968610

            QUESTION

            Python replace special character of many different languages
            Asked 2021-Mar-30 at 12:26

            I'm reading tables from a website where one of the columns is university name and some of the names have special characters which are the following (but the names are written like I put them here, so is not a task I can fix by reading the web in a different way):

            ...

            ANSWER

            Answered 2021-Mar-30 at 12:26

            As Deceze has commented, if the data is corrupted at source there is no guarantee that you can undo the corruption. However, using the data you provided we can make some progress.

            Firstly, the vast majority of the strings in your list can be fixed by encoding as latin-1 and then decoding as UTF-8.

            Source https://stackoverflow.com/questions/66849737

            QUESTION

            LoRa Class B implementation TDMA by Arduino and SX1278
            Asked 2021-Mar-15 at 10:04

            I'm building a Lora network, with two SX1278 modules and Arduino Uno. Lora is based on three classes. A , B and C, The question is : for implementing Class B, Does it need to change Lora module registers?! or differences between classes are just between the time they communicate to each other? and If you have a source code, it really makes life easier.

            ...

            ANSWER

            Answered 2021-Mar-15 at 10:04

            or implementing Class B, Does it need to change Lora module registers?

            Well, yes. It needs to do a RX window from time to time.

            or differences between classes are just between the time they communicate to each other?

            Generally yes. Almost all implementation of power-saving methods in wireless communication may be reduced to difference in "just the time between they communicate" - this is an oversimplification. But generally, yes, classes manipulate the times when downlink are possible from gateway to beacon.

            Class A can send message anytime and it receives messages only right after sending. Class B is class A with periodic synchronized receiving windows. And Class C can receive messages anytime - keeps RX always open.

            From lora-allience.org/about-lorawan:

            Class A – Lowest power, bi-directional end-devices:

            The default class which must be supported by all LoRaWAN end-devices, class A communication is always initiated by the end-device and is fully asynchronous. Each uplink transmission can be sent at any time and is followed by two short downlink windows, giving the opportunity for bi-directional communication, or network control commands if needed. This is an ALOHA type of protocol. The end-device is able to enter low-power sleep mode for as long as defined by its own application: there is no network requirement for periodic wake-ups. This makes class A the lowest power operating mode, while still allowing uplink communication at any time. Because downlink communication must always follow an uplink transmission with a schedule defined by the end-device application, downlink communication must be buffered at the network server until the next uplink event.

            Class B – Bi-directional end-devices with deterministic downlink latency:

            In addition to the class A initiated receive windows, class B devices are synchronised to the network using periodic beacons, and open downlink ‘ping slots’ at scheduled times. This provides the network the ability to send downlink communications with a deterministic latency, but at the expense of some additional power consumption in the end-device. The latency is programmable up to 128 seconds to suit different applications, and the additional power consumption is low enough to still be valid for battery powered applications.

            Class C – Lowest latency, bi-directional end-devices:

            In addition to the class A structure of uplink followed by two downlink windows, class C further reduces latency on the downlink by keeping the receiver of the end-device open at all times that the device is not transmitting (half duplex). Based on this, the network server can initiate a downlink transmission at any time on the assumption that the end-device receiver is open, so no latency. The compromise is the power drain of the receiver (up to ~50mW) and so class C is suitable for applications where continuous power is available. For battery powered devices, temporary mode switching between classes A & C is possible, and is useful for intermittent tasks such as firmware over-the-air updates.

            Source https://stackoverflow.com/questions/66635702

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install LoRA

            Installing loralib is simply
            You can choose to adapt some layers by replacing them with counterparts implemented in loralib. We only support nn.Linear, nn.Embedding, and nn.Conv2d for now. We also support a MergedLinear for cases where a single nn.Linear represents more than one layers, such as in some implementations of the attention qkv projection (see Additional Notes for more).
            Before the training loop begins, mark only LoRA parameters as trainable.
            When saving a checkpoint, generate a state_dict that only contains LoRA parameters.
            When loading a checkpoint using load_state_dict, be sure to set strict=False.

            Support

            Please contact us or post an issue if you have any questions.
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