Skip to main content

Browse the archive

https://github.com/GPflow/GPflow
27 November 2021, 02:00:58 UTC
Revision baa50bb0e365e9e5e40d5792b28e75d11c793235 authored by st-- on 11 July 2019, 13:14:25 UTC, committed by GitHub on 11 July 2019, 13:14:25 UTC 
Clean up kernel broadcasting tests & documentation (#1000)
 
* clean up test_broadcasting

* move _broadcasting_elementwise_op into misc.py

* add remaining kernels to test_broadcasting

* add documentation of broadcasting behaviour to kernels module

* add note to ArcCosine docstring that broadcasting has not yet been implemented
1 parent 378d9e8
Raw File
Tip revision: baa50bb0e365e9e5e40d5792b28e75d11c793235 authored by st-- on 11 July 2019, 13:14:25 UTC
Clean up kernel broadcasting tests & documentation (#1000)
Tip revision: baa50bb
roadmap.md 
This document covers major planned development items for GPflow.

# Computational speed
 - Add further benchmarks to [benchmark repository](https://github.com/GPflow/GPflowBenchmarks) including multiple GPUs.
 - Incorporate remaining Tom Nickson GPU code from [branch](https://github.com/c0g/tomserflow) into TensorFlow main.

# Features
 - Add ability to exploit Kronecker structure.
	
# Housekeeping 
 - See also issues marked "enhancement" in the GitHub [list](https://github.com/GPflow/GPflow/issues).
back to top