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@minlu1021 minlu1021 released this 03 Nov 19:03
· 16 commits to release-1.10.0 since this release

Release 1.10.0 can be used to run models compiled using the release-1.10.0 branch of neo-ai/TVM.

This release implements support for TF2 frontend parser, support for TF2 models was the major driving factor behind this release.

It also fixes bugs for TRT memory leak, TRT performance, weights doubled after TRT compilation, and also fix for RelayVM fails on Windows.

This release upgrades TreeLite to version 1.2.0.

It also adds support for KERAS dense 3D inputs and nested model.

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/v1.10.0/aisage/dlr-1.10.0-py3-none-any.whl
Amazon AWS p2/p3/g4 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/gpu/dlr-1.10.0-py3-none-any.whl
NVIDIA Jetson device with JetPack 4.3 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/jetpack4.3/dlr-1.10.0-py3-none-any.whl
NVIDIA Jetson device with JetPack 4.4 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/jetpack4.4/dlr-1.10.0-py3-none-any.whl
NVIDIA Jetson device with JetPack 4.5 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/jetpack4.5/dlr-1.10.0-py3-none-any.whl
Raspberry Rasp3b https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/rasp3b/dlr-1.10.0-py3-none-any.whl
Raspberry Rasp4b https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/rasp4b/dlr-1.10.0-py3-none-any.whl
Rockchips RK3399 https://neo-ai-dlr-release.s3-us-west-2.amazonaws.com/v1.10.0/rk3399/dlr-1.10.0-py3-none-any.whl