onnx-tensorrt | ONNX-TensorRT : TensorRT backend for ONNX | Game Engine library
kandi X-RAY | onnx-tensorrt Summary
kandi X-RAY | onnx-tensorrt Summary
onnx-tensorrt is a C++ library typically used in Gaming, Game Engine applications. onnx-tensorrt has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
Parses ONNX models for execution with TensorRT. See also the TensorRT documentation. For the list of recent changes, see the changelog. For a list of commonly seen issues and questions, see the FAQ. For business inquiries, please contact researchinquiries@nvidia.com. For press and other inquiries, please contact Hector Marinez at hmarinez@nvidia.com.
Parses ONNX models for execution with TensorRT. See also the TensorRT documentation. For the list of recent changes, see the changelog. For a list of commonly seen issues and questions, see the FAQ. For business inquiries, please contact researchinquiries@nvidia.com. For press and other inquiries, please contact Hector Marinez at hmarinez@nvidia.com.
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Quality
Security
License
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Support
onnx-tensorrt has a medium active ecosystem.
It has 2405 star(s) with 518 fork(s). There are 64 watchers for this library.
It had no major release in the last 12 months.
There are 121 open issues and 497 have been closed. On average issues are closed in 238 days. There are 16 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of onnx-tensorrt is release/8.6-GA
Quality
onnx-tensorrt has 0 bugs and 0 code smells.
Security
onnx-tensorrt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
onnx-tensorrt code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
onnx-tensorrt 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.
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onnx-tensorrt releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
It has 514 lines of code, 25 functions and 5 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of onnx-tensorrt
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of onnx-tensorrt
onnx-tensorrt Key Features
No Key Features are available at this moment for onnx-tensorrt.
onnx-tensorrt Examples and Code Snippets
No Code Snippets are available at this moment for onnx-tensorrt.
Community Discussions
Trending Discussions on onnx-tensorrt
QUESTION
‘numeric_limits’ is not a member of ‘std’
Asked 2022-Feb-28 at 15:12
I am trying to compile an application from source, FlyWithLua, which includes the sol2 library.
I am following the instructions but when I run cmake --build ./build
I get the following error:
ANSWER
Answered 2022-Feb-28 at 15:12Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install onnx-tensorrt
You can download it from GitHub.
Support
Development on the Master branch is for the latest version of TensorRT 8.2.3.0 with full-dimensions and dynamic shape support. For previous versions of TensorRT, refer to their respective branches.
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