https://github.com/GPflow/GPflow
Revision fd6beaafd27c5c48d09f037b1b46f56260da424c authored by Hugh Salimbeni on 22 August 2018, 14:13:39 UTC, committed by Artem Artemev on 22 August 2018, 14:13:39 UTC
Modifies the kernels and conditionals to support broadcasting over (arbitrarily many) extra leading dimensions, similar to most of the tensorflow ops. So e.g. kern.K(X) now supports X being shape `[S, ..., T, N, D]`, and returns `[S, ..., T, N, N]`
1 parent af89b6d
Raw File
Tip revision: fd6beaafd27c5c48d09f037b1b46f56260da424c authored by Hugh Salimbeni on 22 August 2018, 14:13:39 UTC
Support broadcasting (#829)
Tip revision: fd6beaa
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