Single-Path-NAS-PyTorch | PyTorch implementation of Single-Path NAS | Network Attached Storage library

 by   skmhrk1209 Python Version: Current License: Apache-2.0

kandi X-RAY | Single-Path-NAS-PyTorch Summary

kandi X-RAY | Single-Path-NAS-PyTorch Summary

Single-Path-NAS-PyTorch is a Python library typically used in Storage, Network Attached Storage, Deep Learning, Pytorch applications. Single-Path-NAS-PyTorch has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Single-Path-NAS-PyTorch build file is not available. You can download it from GitHub.

PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"
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            kandi-support Support

              Single-Path-NAS-PyTorch has a low active ecosystem.
              It has 34 star(s) with 12 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 6 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Single-Path-NAS-PyTorch is current.

            kandi-Quality Quality

              Single-Path-NAS-PyTorch has 0 bugs and 0 code smells.

            kandi-Security Security

              Single-Path-NAS-PyTorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Single-Path-NAS-PyTorch code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Single-Path-NAS-PyTorch is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Single-Path-NAS-PyTorch releases are not available. You will need to build from source code and install.
              Single-Path-NAS-PyTorch has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Single-Path-NAS-PyTorch and discovered the below as its top functions. This is intended to give you an instant insight into Single-Path-NAS-PyTorch implemented functionality, and help decide if they suit your requirements.
            • Train thresholding algorithm
            • Return a generator of namedtuples
            • Iterate over thresholds
            • Iterate over the weights of the model
            • Train logits and loss
            • Train the logits
            • Forward convolutional layer
            • Generate a mask for the given masks
            • Apply a function to a dictionary
            • Iterate over the named thresholds
            • Set the epoch
            Get all kandi verified functions for this library.

            Single-Path-NAS-PyTorch Key Features

            No Key Features are available at this moment for Single-Path-NAS-PyTorch.

            Single-Path-NAS-PyTorch Examples and Code Snippets

            No Code Snippets are available at this moment for Single-Path-NAS-PyTorch.

            Community Discussions

            QUESTION

            How can I read/write data from/to network attached storage with kedro?
            Asked 2020-May-14 at 09:24

            In the API docs about kedro.io and kedro.contrib.io I could not find info about how to read/write data from/to network attached storage such as e.g. FritzBox NAS.

            ...

            ANSWER

            Answered 2020-May-14 at 09:24

            So I'm a little rusty on network attached storage, but:

            1. If you can mount your network attached storage onto your OS and access it like a regular folder, then it's just a matter of providing the right filepath when writing the config for a given catalog entry. See for example: Using Python, how can I access a shared folder on windows network?

            2. Otherwise, if accessing the network attached storage requires anything special, you might want to create a custom dataset that uses a Python library for interfacing with your network attached storage. Something like pysmb comes to mind.

            The custom dataset could borrow heavily from the logic in existing kedro.io or kedro.extras.datasets datasets, but you replace the filepath/fsspec handling code with pysmb instead.

            Source https://stackoverflow.com/questions/61791713

            QUESTION

            About NAS and SAN(protocols, architecture, etc..)
            Asked 2020-Apr-07 at 09:44

            I am currently kind of having trouble to understand between NAS and SAN.

            As far as I figured out, NAS and SAN are kind of defined as below.

            NAS(Network attached storage)
            - Usually used as file storage and use Ethernet Infrastructure to communicate
            - As file storage, support protocols like NFS, CIFS, SMB, HTTP(S)

            SAN(Storage Area Network)
            - Network Protocol to communicate with block storage for data access.
            - Configured with separated network system
            - Commonly based on Fibre Channel(FC) technology.
            - Could use iSCSI(in small and medium sized business) or FCoE for less expensive alternative to FC

            So, below is my questions.
            1. Is File Storage and Block Storage are the solutions? I researched and found that NAS is File Storage Solution and SAN Storage is Block Storage Solution.
            - In that case, are their base infrastructure(storage device) same? Only different with protocols, network devices, may be storage os something that controls underline device and way of usage?

            2. I found there are NAS Solutions that support iSCSI. But I found that iSCSI is SCSI Protocol that use TCP/IP Network system and SCSI is for block level storage communication protocols.
            - And Now I am confused. NAS is a file storage solution and how could that support iSCSI Protocol?

            3. Are AWS root disk and EBS storage SAN Storage?
            - I read that SAN Storage configuration could be expensive so iSCSI or FCoE are less expensive way to configure.
            - With what technology AWS storage Infrastructure is configured??

            I am kind of newly studying of these storage part computer science and got some questions.
            Is there anyone can explain those questions clearly?
            Thank you.

            ...

            ANSWER

            Answered 2020-Apr-07 at 09:44

            It depends on what you call a "Solution". The basic infrastructure is the same it's a some kind of a "storage server" (storage system) with physical disk(s), but it very much dependent of technologies, vendors and various options. Typically, a storage system provides access to its physical disks with different protocols of 2 main groups: block-level protocols like SCSI or rarely ATA on one hand, or file-level protocols like NFS, CIFS, etc on the other. It doesn't mean, a storage system can't work in both, block and file modes.

            Storage network - SAN can be build over FC, FCoE, converged infrastructure, pure TCP/IP for iSCSI, Infiniband or any other infrastructure. Typically, when people say "SAN" they mean Block storage devices and FC protocol, but it doesn't mean, that a file storage - NAS can't be connected with SAN and vice verse.

            Source https://stackoverflow.com/questions/60768967

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

            Vulnerabilities

            No vulnerabilities reported

            Install Single-Path-NAS-PyTorch

            You can download it from GitHub.
            You can use Single-Path-NAS-PyTorch 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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