FNA | Fast Neural Network Adaptation via Parameter Remapping | Machine Learning library
kandi X-RAY | FNA Summary
kandi X-RAY | FNA Summary
The code of the ICLR 2020 paper Fast Neural Network Adaptation via Parameter Remapping and Architecture Search. Deep neural networks achieve remarkable performance in many computer vision tasks. Most state-of-the-art (SOTA) semantic segmentation and object detection approaches reuse neural network architectures designed for image classification as the backbone, commonly pre-trained on ImageNet. However, performance gains can be achieved by designing network architectures specifically for detection and segmentation, as shown by recent neural architecture search (NAS) research for detection and segmentation. One major challenge though, is that ImageNet pre-training of the search space representation (a.k.a. super network) or the searched networks incurs huge computational cost. In this paper, we propose a Fast Neural Network Adaptation (FNA) method, which can adapt both the architecture and parameters of a seed network (e.g. a high performing manually designed backbone) to become a network with different depth, width, or kernels via a Parameter Remapping technique, making it possible to utilize NAS for detection/segmentation tasks a lot more efficiently.
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Top functions reviewed by kandi - BETA
- Apply parallelization
- Get a tensor from an object
- Return the result of the condition
- Persist the result
- Remapping architecture adaptation
- Update the sum
- Remapping for parameter adaptation
- Load a checkpoint from a given filename
- Format log record
- Run model
- Compute model after training epoch
- Builds a divider
- Calculate the function for each class
- Evaluate the vocab
- Batch processor
- Log training information
- Compute the softmax
- Parse command line arguments
- Alters a single epoch
- Convert VOC annotations into VOC annotations
- Parse list of devices
- Derives blocks from a network configuration
- Patch the replication callbacks of the module
- Private method for the data parallelization
- Forward computation
- Load checkpoint from file
FNA Key Features
FNA Examples and Code Snippets
Community Discussions
Trending Discussions on FNA
QUESTION
I'm in a bind please. do you know if i can duplicate the last folder in the path please and add "_genomic.fna.gz" to it for example how to change from this
...ANSWER
Answered 2021-Jun-10 at 18:06urllib.parse.urlparse can split your URL into parts we can work with.
posixpath.join can help us build the full path.
urllib.parse.urlunparse can help us get a complete URL back.
QUESTION
Does anyone know how I can put an address field with options inside FORMS using Django ?? similar to the one in the image, only that there would be neighborhoods as well. I'm trying to work with Geoip, but if you can give me options or tell me how to do it, I appreciate it.
...ANSWER
Answered 2021-May-13 at 21:26[RESOLVIDO]
RESPOSTA: Usei o API JavaScript do Maps / Places Autocomplete
Tem que ter conta de faturamento no google(tem que ativar o faturamento senão não vai rolar com eles, mas o autocomplete é gratuito), dar uma lida no api google maps ajuda. links que me ajudaram: How to add Google Maps Autocomplete search box? esse aqui tb: https://developers.google.com/maps/documentation/javascript/places-autocomplete?fbclid=IwAR34FvagZzglX3oQUzrBTrWIpIKLFNu09_TmaESHmTnejgnhD_a0ZgIk_BU
QUESTION
Somewhat like a ebay search page like this enter image description here
in my code, only the first listed item looks just like the image above, but every picture after floats to the right side of the page, but the text stays on left. I want it to look like this:
[]-list
[] -list
[] -list
with the code I have, the image in the second div is pushed to the right side. I want all images and text aligned underneath each other to look somewhat like the ebay layout
...ANSWER
Answered 2021-May-05 at 02:00Check this below snippet. Its just an skeleton. It will help you to build such layout.
QUESTION
I am trying to read fna file with mrjob in Python.
This is my load_read.py program, all of the code can work correctly without using mrjob.
ANSWER
Answered 2021-Mar-16 at 08:13So I found that I cannot define both mapper_raw() and mapper. I only need to define one of them.
I used mapper_raw() because I read a whole file, not line by line.
QUESTION
Hi everyone I am having İnvalid scheme and much error with this code
i am just trying to make a simple instagram image downloader from given url here is the code
...ANSWER
Answered 2021-Mar-14 at 17:14As indicated in the very last line of your error message you are trying to send a request to a URL that is invalid. It is invalid because it contains the HTML tag meta. You have to grab the URL that is in the content attribute of the HTML code.
Here is the code that you need in order to get the URL to the Instagram image:
QUESTION
I have generated a Union type of my supported methods and I want to check that the method is one of my supported methods and then dynamically call the method. I know that I can check this by using an array of supported methods names and using methods like includes but I'm wondering if it is possible with type checking or not?
...ANSWER
Answered 2021-Feb-16 at 14:25I'd check if given method name is a key of mathFn. Unfortunatly, the check is not enough for the compiler to notice that the string is of type SupportedMathFunction , you need to use User-Defined Type Guards
QUESTION
I am having trouble understanding how the threads and resources allocated to a snakejob translate to number of cores allocated per snakejob on my slurm partition. I have set the --cores flag to 46 on my .sh which runs my snakefile, yet each of 5 snakejobs are concurrently running, with 16 cores provided to each of them. Does a rule specific thread number superceed the --cores flag for snakemake? I thought it was the max cores that all my jobs together had to work with...
Also, are cores allocated based on memory, and does that scale with number of threads specified? For example, my jobs were allocated 10GB a peice of memory, but one thread only. Each job was given two cores according to my SLURM outputs. When I specified 8 threads with 10GB of memory, I was provided 16 cores instead. Does that have to do with the amount of memory I gave to my job, or is it just that an additional core is provided for each thread for memory purposes? Any help would be appreciated.
Here is one of snake job outputs:
...ANSWER
Answered 2021-Feb-03 at 12:03When you use slurm together with snakemake, the --cores flag unfortunately does not mean cores anymore, it means jobs.. So when you set --cores 48 you are actually telling snakemake to use at max 48 parallel jobs.
Related question: Behaviour of "--cores" when using Snakemake with the slurm profile
QUESTION
I am currently creating a simple login system for my discord server and im trying to find a way to store the user input into a variable and using it for a database. I currently want the input of [https://steamcommunity.com/id/] in the variable.
...ANSWER
Answered 2021-Feb-01 at 23:04It's better by using a command instead of an on_message then you can pass an argument with the logging command. Ill leave it up to you to get your database sorted out, and searching if an account was already created.
Below is a simple example of passing a "username" argument through the command, the username would then be stored within the username variable.
QUESTION
I'm trying to create a union of function types with different argument types, but in the union type the argument becomes 'never'. I could use union type as an argument and get the result I need, or use function overloading, but somewhy union of function types is not allowed. Here is the code example:
...ANSWER
Answered 2021-Jan-26 at 08:08It is intended.
But, to make overloading, you should use intersection & instead of union |.
Here is working code:
QUESTION
I have a JSON column (called "roi") which contains users' Instagram performance. This is the roi column:
...ANSWER
Answered 2021-Jan-14 at 11:04You have several ways.
Use
jsonb_each()to expand all users' data: You can create a record per user and than ask for thecountafterwards
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install FNA
You can use FNA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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