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Ran 05 Oct 2018 06:31PM UTC

Files 26

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Committed 05 Oct 2018 06:22PM UTC coverage: 97.554% (+48.5%) from 49.008%

Job # 1859.2

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push

travis-ci

Committed by

web-flow

Commit Message

Updates interpolators to allow for precomputation (#289)

* pull in Lukas' changes from refactor/megachannel

* custom backend class for equality comparisons

* Interpolator class and refactor some of lukas' changes a bit

* pytorch einsum does not broadcast inputs. see uber/pyro#1414

* switch to using __call__()

* move things into a separate _call() to handle some common functionality across interpolators

* clean up the names a bit

* add more tests for coverage and behavior

* remove OOP stuff. shape->alphasets_shape.

* remove unused tensorlibs

* add test coverage for Backend()

* assert backend inheritance to ensure equality

* switch order of asserts for backend test

* allow for tb == 'numpy' to work

* set up pass-through lists for backends and update pytorch.astensor

* rename some variables, keep the self.X public variables as tensors

* remove Backend

* typo in test

* pytorch now handles 0-d tensor broadcasting correctly

* fix up doctesting in the backend

* update to get rid of tolist() in the interpcodes

* tests pass again

* ask for forgiveness in tensor.tolist()

* handle custom error message if no session

* pass-through lists should be ok with tensorflow_backend

* add tests/coverage for tolist

* tensorflow is just picky

* python 2-3 compatible code

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