v1.6.0
Release 1.6.0 can be used to run models compiled using the release-1.6.0 branch of neo-ai/TVM.
It enables specifying individual TVM artifacts to CreateDLRModel API and add APIs to use DLTensors for SetInput/GetOutput. It provides missing DLR C++ APIs to GraphRuntime & VMRuntime. Version 1.6.0 skips loading tvm artifacts from disk and allows passing in data directly for graph, params and relay_exec.
This Release supports Pytorch object detection models on CPU. Additional TensorFlow object detection models on GPU are supported like ssd mobilenet,mask_rcnn_resnet, faster_rcnn_resnet, etc.
It also supports NonMaxSuppressionV5 aka tf.image.non_max_suppression_with_scores which returns scores in addition to indices and size.
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.