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Array-like equality comparison for TransformedVariable #1242
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Thanks for your pull request. It looks like this may be your first contribution to a Google open source project (if not, look below for help). Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA). 📝 Please visit https://cla.developers.google.com/ to sign. Once you've signed (or fixed any issues), please reply here with What to do if you already signed the CLAIndividual signers
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Thanks for your pull request. It looks like this may be your first contribution to a Google open source project (if not, look below for help). Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA). 📝 Please visit https://cla.developers.google.com/ to sign. Once you've signed (or fixed any issues), please reply here with What to do if you already signed the CLAIndividual signers
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CLAs look good, thanks! ℹ️ Googlers: Go here for more info. |
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CLAs look good, thanks! ℹ️ Googlers: Go here for more info. |
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It's clearly not quite as simple as changing this one line, but I'd really appreciate thoughts from the tensorflow-probability core developers as to what else might need changing to get the tests to pass and be able to close #1241! |
Array-like behaviour for
TransformedVariable.__eq__andTransformedVariable.__ne__.Resolves #1241.