DeepCompression-caffe | Caffe for Deep Compression | Compression library

 by   may0324 C++ Version: Current License: Non-SPDX

kandi X-RAY | DeepCompression-caffe Summary

kandi X-RAY | DeepCompression-caffe Summary

DeepCompression-caffe is a C++ library typically used in Utilities, Compression, Deep Learning, Pytorch applications. DeepCompression-caffe has no bugs, it has no vulnerabilities and it has low support. However DeepCompression-caffe has a Non-SPDX License. You can download it from GitHub.

This is a simple caffe implementation of Deep Compression(including weight prunning and quantization. According to the paper, the compression are implemented only on convolution and fully-connected layers. Thus we add a CmpConvolution and a CmpInnerProduct layer. The params that controlls the sparsity including:. For a better understanding, please see the examples/mnist and run the demo script, which automatically compresses a pretrained MNIST LeNet caffemodel.
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              DeepCompression-caffe has a low active ecosystem.
              It has 237 star(s) with 113 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 10 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DeepCompression-caffe is current.

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              DeepCompression-caffe has no bugs reported.

            kandi-Security Security

              DeepCompression-caffe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              DeepCompression-caffe 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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              DeepCompression-caffe releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            DeepCompression-caffe Key Features

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            DeepCompression-caffe Examples and Code Snippets

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            Community Discussions

            QUESTION

            Error parsing text-format caffe.NetParameter: 54:17: Message type "caffe.ConvolutionParameter" has no field named "sparse_ratio"
            Asked 2019-Feb-13 at 09:32

            i hope you are doing well, i tried to run a python code that i downloaded from here : "https://github.com/may0324/DeepCompression-caffe/tree/master/examples/mnist"

            i am using Ubuntu 16.04,python (2.7,3.5),

            ...

            ANSWER

            Answered 2019-Feb-13 at 09:31

            Your version of caffe does not have sparse_ratio as part of its inner_product_param or its convolution_param (see these definitions in caffe.proto).
            It seems like the specific code you are trying to run requires its own version of caffe that has a slightly different caffe.proto definitions.

            Source https://stackoverflow.com/questions/54664703

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

            Vulnerabilities

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            Install DeepCompression-caffe

            You can download it from GitHub.

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