tensorflow-neuron.md

TensorFlow-Neuron Release Notes

This document lists the release notes for the TensorFlow-Neuron package.

[1.15.0.1.0.749.0]

Date: 12/1/2019

Summary

Major New Features

Resolved Issues

• Fix race condition between model load and model unload when the process is killed
• Remove unnecessary GRPC calls when the process is killed

Known Issues and Limitations

• When compiling a large model, may encounter “terminate called after throwing an instance of 'std::bad_alloc'”. Solution: run compilation on c5.4xlarge instance type or larger.

• The pip package wrapt may have a conflicting version in some installations. This is seen when this error occurs:

ERROR: Cannot uninstall 'wrapt'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

to solve this, you can update wrapt to the newer version:

conda update wrapt
python3 -m pip install tensorflow-neuron

or

python3 -m pip install wrapt --ignore-installed
python3 -m pip install tensorflow-neuron

Other Notes

[1.15.0.1.0.663.0]

Date: 11/25/2019

Summary

This version is available only in released DLAMI v26.0. Please update to latest version.

Major New Features

Resolved Issues

Known Issues and Limits

Models Supported

The following models have successfully run on neuron-inferentia systems

1. BERT_LARGE and BERT_BASE
2. Transformer
3. Resnet50 V1/V2
4. Inception-V2/V3/V4

Other Notes