fix plotting with > 1-d tensors in tutorials with py3.9 #2013
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This pull request was exported from Phabricator. Differential Revision: D49382057 |
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This pull request was exported from Phabricator. Differential Revision: D49382057 |
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…#2013) Summary: Pull Request resolved: meta-pytorch#2013 see title. This is causing a failure in the tutorials on meta-pytorch#2011 Reviewed By: Balandat Differential Revision: D49382057 fbshipit-source-id: 2b88bfeea442e6c1b3d521ee97b4631ff2c77d60
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…ntasizeMixin (meta-pytorch#2011) Summary: Pull Request resolved: meta-pytorch#2011 This fixes fantasization with FixedNoiseGP when using outcome transforms----previously, already-transformed noise was transformed again during fantasization. This also improves the fantasization for batched and batched multi-output models to use the average noise for each batch and output. This also removes repeated code and uses the logic in `FantasizeMixin.fantasize` for handling `X` with size 0 on the -2 dimension. This also deprecates the use of `observation_noise` as a boolean argument to fantasize. Differential Revision: https://internalfb.com/D49200325 fbshipit-source-id: 686663284452f02114695d1bb2da973a16c3267e
…#2013) Summary: Pull Request resolved: meta-pytorch#2013 see title. This is causing a failure in the tutorials on meta-pytorch#2011 Reviewed By: Balandat Differential Revision: D49382057 fbshipit-source-id: 04ba98192b26117c762b4188fae454dca3f8899f
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Codecov Report
@@ Coverage Diff @@
## main #2013 +/- ##
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Coverage 100.00% 100.00%
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Files 179 179
Lines 15798 15807 +9
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+ Hits 15798 15807 +9
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This pull request has been merged in 9b53b59. |
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Summary: see title. This is causing a failure in the tutorials on #2011
Differential Revision: D49382057