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
codecov.yml
coverage:
status:
project:
default:
target: 97%
threshold: 1%
patch:
default:
target: 97%
threshold: 1%
ignore:
- "*.py"
- "tests/*.py"
- "gpflow/training/external_optimizer.py"
- "doc/source/notebooks/*"
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