oneflow | OneFlow is a deep learning framework designed to be | Machine Learning library

 by   Oneflow-Inc C++ Version: v0.9.0 License: Apache-2.0

kandi X-RAY | oneflow Summary

kandi X-RAY | oneflow Summary

oneflow is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. oneflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

OneFlow is a performance-centered and open-source deep learning framework.
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            kandi-support Support

              oneflow has a medium active ecosystem.
              It has 5110 star(s) with 596 fork(s). There are 132 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 266 open issues and 572 have been closed. On average issues are closed in 12 days. There are 175 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of oneflow is v0.9.0

            kandi-Quality Quality

              oneflow has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              oneflow 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

              oneflow releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            oneflow Key Features

            No Key Features are available at this moment for oneflow.

            oneflow Examples and Code Snippets

            No Code Snippets are available at this moment for oneflow.

            Community Discussions

            Trending Discussions on oneflow

            QUESTION

            Split Comment at Each TimeStamp
            Asked 2020-May-04 at 11:44

            Hey, I have a comment with various time stamps in a single cell as follows:-

            2019-07-26 20:36:19 - (Work notes) Informed the caller that the transactions are removed from Concur. Resolved the INC as no action pending. Send resolution email to caller, copy paste the response and simplify/summarize the information received from the Eng team YesUpdate the work notes YesUpdate the state to Awaiting User Yes

            2019-07-26 10:32:05 - oneflow (Work notes)[code] Hi Team.We have removed those gits.

            What i want is to split this cell into rows so that each time stamp is split with its respective text.

            Please help. Any code in R or Python will help.

            ...

            ANSWER

            Answered 2020-May-04 at 11:44

            Python option using regex:

            Source https://stackoverflow.com/questions/61506269

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

            Vulnerabilities

            No vulnerabilities reported

            Install oneflow

            To install latest stable release of OneFlow with CUDA support:.
            To install latest stable release of OneFlow with CUDA support: python3 -m pip install -f https://release.oneflow.info oneflow==0.6.0+cu102
            To install nightly release of OneFlow with CUDA support: python3 -m pip install --pre oneflow -f https://staging.oneflow.info/branch/master/cu102
            To install other available builds for different variants: Stable python3 -m pip install --find-links https://release.oneflow.info oneflow==0.6.0+[PLATFORM] Nightly python3 -m pip install --pre oneflow -f https://staging.oneflow.info/branch/master/[PLATFORM] All available [PLATFORM]: | Platform |CUDA Driver Version| Supported GPUs | |---|---|---| | cu112 | >= 450.80.02 | GTX 10xx, RTX 20xx, A100, RTX 30xx | | cu102 | >= 440.33 | GTX 10xx, RTX 20xx | | cpu | N/A | N/A |
            If you are in China, you could run this to have pip download packages from domestic mirror of pypi: python3 -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple For more information on this, please refer to pypi 镜像使用帮助
            If you are in China, please download OneFlow source code from: https://oneflow-public.oss-cn-beijing.aliyuncs.com/oneflow-src.zip. Please refer to this repo.
            Option 1: Clone source code from GitHub git clone https://github.com/Oneflow-Inc/oneflow --depth=1
            Option 2: Download from Aliyun If you are in China, please download OneFlow source code from: https://oneflow-public.oss-cn-beijing.aliyuncs.com/oneflow-src.zip curl https://oneflow-public.oss-cn-beijing.aliyuncs.com/oneflow-src.zip -o oneflow-src.zip unzip oneflow-src.zip
            Option 1: Build with Conda (recommended) Please refer to this repo
            Option 2: Build in docker container (recommended) Pull the docker image: docker pull oneflowinc/manylinux2014_x86_64_cuda11.2 Follow the instructions in the bare metal build guide below.
            Option 3: Build on bare metal Install dependencies (not required if you are using docker): on Ubuntu 20.04, run: sudo apt install -y libopenblas-dev nasm g++ gcc python3-pip cmake autoconf libtool on macOS, run: brew install nasm In the root directory of OneFlow source code, run: mkdir build cd build Config the project, inside build directory: If you are in China run this to config for CUDA: cmake .. -C ../cmake/caches/cn/cuda.cmake run this to config for CPU-only: cmake .. -C ../cmake/caches/cn/cpu.cmake If you are not in China run this to config for CUDA: cmake .. -C ../cmake/caches/international/cuda.cmake run this to config for CPU-only: cmake .. -C ../cmake/caches/international/cpu.cmake Build the project, inside build directory, run: make -j$(nproc) Add oneflow to your PYTHONPATH, inside build directory, run: source source.sh Please note that this change is not permanent. Simple validation python3 -m oneflow --doctor
            Please refer to QUICKSTART
            中文版请参见 快速上手

            Support

            Please refer to troubleshooting for common issues you might encounter when compiling and running OneFlow.
            Find more information at:

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            https://github.com/Oneflow-Inc/oneflow.git

          • CLI

            gh repo clone Oneflow-Inc/oneflow

          • sshUrl

            git@github.com:Oneflow-Inc/oneflow.git

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