libdnn | Greentea LibDNN - a universal convolution implementation | GPU library

 by   naibaf7 C++ Version: Current License: Non-SPDX

kandi X-RAY | libdnn Summary

kandi X-RAY | libdnn Summary

libdnn is a C++ library typically used in Hardware, GPU applications. libdnn has no bugs, it has no vulnerabilities and it has low support. However libdnn has a Non-SPDX License. You can download it from GitHub.

Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL.
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              libdnn has a low active ecosystem.
              It has 126 star(s) with 34 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 9 have been closed. On average issues are closed in 278 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of libdnn is current.

            kandi-Quality Quality

              libdnn has 0 bugs and 0 code smells.

            kandi-Security Security

              libdnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              libdnn code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              libdnn has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              libdnn releases are not available. You will need to build from source code and install.

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            libdnn Key Features

            No Key Features are available at this moment for libdnn.

            libdnn Examples and Code Snippets

            No Code Snippets are available at this moment for libdnn.

            Community Discussions

            Trending Discussions on libdnn

            QUESTION

            Optimization Target must be a link
            Asked 2019-Apr-30 at 23:29

            I have an autoencoder model of 4 linear layers written using chainer.Chain. Running the optimizer.setup line in Trainer section give me the following error:

            ...

            ANSWER

            Answered 2019-Apr-30 at 23:29

            StackedAutoencoder inherits NNBase class, which inherits object class, so they are not chainer.Chain class.

            You can refer official example for how to define your own network. For example, MNIST example defines MLP as follows:

            Source https://stackoverflow.com/questions/55918873

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

            Vulnerabilities

            No vulnerabilities reported

            Install libdnn

            You can download it from GitHub.

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            git@github.com:naibaf7/libdnn.git

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