This document is relevant for: Inf1
, Inf2
, Trn1
, Trn1n
NeuronPerf 1.x Release Notes#
NeuronPerf is a lightweight Python library with a simple API that enables fast measurements of performance when running models using Neuron.
NeuronPerf release [1.8.55.0]#
Date: 04/01/2024
Minor updates
NeuronPerf release [1.8.15.0]#
Date: 12/21/2023
Minor updates
NeuronPerf release [1.8.7.0]#
Date: 8/28/2023
Minor updates
NeuronPerf release [1.7.0.0]#
Date: 3/28/2023
Adds trn1/inf2 support for PyTorch and TensorFlow 2.x
Uses new IMDSv2 for obtaining instance types
NeuronPerf release [1.6.0.0]#
Date: 11/23/2022
New Evaluation + metrics API (see NeuronPerf Evaluation Guide)
Support map and iterable-type torch datasets
Support custom torch DataLoader args via dataloader_kwargs
New get_report_by_tag utility to identify specific configurations
Python 3.7+ now default from 3.6
Pricing and sizing info updated for inf1 + trn1
Bug fixes
GPU inputs are now moved correctly
NeuronPerf release [1.3.0.0]#
Date: 04/29/2022
Minor updates
NeuronPerf release [1.2.0.0]#
Date: 03/25/2022
Initial release of NeuronPerf
Supports PyTorch, TensorFlow, and Apache MXNet.
Supports customizable JSON and CSV reports
See NeuronPerf (Beta) for more information.
This document is relevant for: Inf1
, Inf2
, Trn1
, Trn1n