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@TusharKanekiDey TusharKanekiDey released this 11 Feb 23:46
v1.8.0
004cf83

Release 1.8.0 can be used to run models compiled using the release-1.8.0 branch of neo-ai/TVM.

This Release provides better performance on PyTorch object detection and TensorFlow object detection models on GPU devices.

Pre-built wheels can be installed via pip install link-to-wheel. If you don't see your platform in the table, see Installing DLR for instructions to build from source.

Manufacturer Device Name Wheel URL
Acer TV AISage https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/aisage/dlr-1.8.0-py3-none-any.whl
Amazon AWS p2/p3/g4 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/gpu/dlr-1.8.0-py3-none-any.whl
NVIDIA Jetson device with JetPack 4.2 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/jetpack4.2/dlr-1.8.0-py3-none-any.whl
NVIDIA Jetson device with JetPack 4.3 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/jetpack4.3/dlr-1.8.0-py3-none-any.whl
NVIDIA Jetson device with JetPack 4.4 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/jetpack4.4/dlr-1.8.0-py3-none-any.whl
Raspberry Rasp3b https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/rasp3b/dlr-1.8.0-py3-none-any.whl
Raspberry Rasp4b https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/rasp4b/dlr-1.8.0-py3-none-any.whl
Rockchips RK3399 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.8.0/rk3399/dlr-1.8.0-py3-none-any.whl
Assets 2
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