TorchRecord | small files into one or multiple big file

 by   GeoffreyChen777 Python Version: 0.1.1 License: MIT

kandi X-RAY | TorchRecord Summary

kandi X-RAY | TorchRecord Summary

TorchRecord is a Python library. TorchRecord has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However TorchRecord build file is not available. You can install using 'pip install TorchRecord' or download it from GitHub, PyPI.

LMDB is a Lightning Memory-Mapped Database. It will load the data into your memory. If the memory of your PC is insufficient, the loading speed might be slow due to the memory cache replacement. In order to solve this problem, TorchRecord use record_num to split dataset into several sub record. TRrecord will load all the sub record one by one and close trained record to release the memory.
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            kandi-support Support

              TorchRecord has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              TorchRecord has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of TorchRecord is 0.1.1

            kandi-Quality Quality

              TorchRecord has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              TorchRecord 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

              TorchRecord releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              TorchRecord has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed TorchRecord and discovered the below as its top functions. This is intended to give you an instant insight into TorchRecord implemented functionality, and help decide if they suit your requirements.
            • Write data to disk
            • Write data to a file
            • Parse the data_list
            • Worker loop
            • Pin a batch into memory
            • Main worker loop
            • Torch dataset
            Get all kandi verified functions for this library.

            TorchRecord Key Features

            No Key Features are available at this moment for TorchRecord.

            TorchRecord Examples and Code Snippets

            No Code Snippets are available at this moment for TorchRecord.

            Community Discussions

            No Community Discussions are available at this moment for TorchRecord.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install TorchRecord

            pillow-simd which is a faster folk of Pillow is recommended.

            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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            Install
          • PyPI

            pip install torchrecord

          • CLONE
          • HTTPS

            https://github.com/GeoffreyChen777/TorchRecord.git

          • CLI

            gh repo clone GeoffreyChen777/TorchRecord

          • sshUrl

            git@github.com:GeoffreyChen777/TorchRecord.git

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