Campy | NET CIL for GP-GPU computing | GPU library
kandi X-RAY | Campy Summary
kandi X-RAY | Campy Summary
Campy is a C# library typically used in Hardware, GPU applications. Campy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Welcome! Campy is a compiler, framework, and API for GP-GPU computing in .NET languages. With Campy, one writes GP-GPU code without the usual boilerplate code you see in CUDA/OpenCL, but instead use a simplified model of a multiprocessor GPU/CPU computer, freeing the developer to focus exclusively on the algorithm. The API compiles and runs CIL code into native GPU code using LLVM. Supported are value types, reference types, methods, generics, lambdas, delegates, and closures. Other C#/GPU projects exist, but do not offer a clean, boilerplate-free interface, nor support C# beyond value types. Campy provides a base class library (BCL) for the GPU, implementing strings, arrays, generics, exceptions, delegates, dynamically memory allocation, reflection, and native calls. This project is in the early stage of development. Releases are currently for demonstration purposes. The only available method is essentially Campy.Parallel.For(), and it will undergo wild changes in signature as I refine the programming model. There are also several debugging output switches (see example below).
Welcome! Campy is a compiler, framework, and API for GP-GPU computing in .NET languages. With Campy, one writes GP-GPU code without the usual boilerplate code you see in CUDA/OpenCL, but instead use a simplified model of a multiprocessor GPU/CPU computer, freeing the developer to focus exclusively on the algorithm. The API compiles and runs CIL code into native GPU code using LLVM. Supported are value types, reference types, methods, generics, lambdas, delegates, and closures. Other C#/GPU projects exist, but do not offer a clean, boilerplate-free interface, nor support C# beyond value types. Campy provides a base class library (BCL) for the GPU, implementing strings, arrays, generics, exceptions, delegates, dynamically memory allocation, reflection, and native calls. This project is in the early stage of development. Releases are currently for demonstration purposes. The only available method is essentially Campy.Parallel.For(), and it will undergo wild changes in signature as I refine the programming model. There are also several debugging output switches (see example below).
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Quality
Security
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Support
Campy has a low active ecosystem.
It has 100 star(s) with 10 fork(s). There are 14 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 3 have been closed. On average issues are closed in 90 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Campy is current.
Quality
Campy has 0 bugs and 0 code smells.
Security
Campy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Campy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Campy is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Campy 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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Campy
Campy Key Features
No Key Features are available at this moment for Campy.
Campy Examples and Code Snippets
No Code Snippets are available at this moment for Campy.
Community Discussions
Trending Discussions on Campy
QUESTION
IndexError: list index out of range, NLP BERT Tensorflow
Asked 2021-May-19 at 18:39
So I used Bert model trained it and saved it as hdf5 file, but when I try to predict , it shows this error :
IndexError: list index out of range
here is the code
...ANSWER
Answered 2021-May-18 at 01:44As shown in the ktrain tutorials and example notebooks like this one, you need to use the Predictor
instance to make predictions on raw text inputs:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Campy
You can download it from GitHub.
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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