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TensorFlow Support #3
Labels
enhancement
New feature or request
help wanted
Extra attention is needed
important
Features and issues that need to be addressed ASAP
meta graph
This issue involves the meta graph objects
TensorFlow
This issue involves the TensorFlow backend
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brandonwillard
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Mar 20, 2019
This commit provides basic TensorFlow graph interop. There are still a few design questions and choices to iterate on (e.g. the TF namespace/graph used during intermediate base-object derived meta object construction steps), but the basic class wrappers, helper functions, term representation and unification are working. Closes pymc-devs#3.
brandonwillard
added a commit
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Mar 21, 2019
This commit provides basic TensorFlow graph interop. There are still a few design questions and choices to iterate on (e.g. the TF namespace/graph used during intermediate base-object derived meta object construction steps), but the basic class wrappers, helper functions, term representation and unification are working. Closes pymc-devs#3.
brandonwillard
added a commit
to brandonwillard/symbolic-pymc
that referenced
this issue
Mar 24, 2019
This commit provides basic TensorFlow graph interop. There are still a few design questions and choices to iterate on (e.g. the TF namespace/graph used during intermediate base-object derived meta object construction steps), but the basic class wrappers, helper functions, term representation and unification are working. Closes pymc-devs#3.
brandonwillard
added a commit
to brandonwillard/symbolic-pymc
that referenced
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May 27, 2019
This commit provides basic TensorFlow graph interop. There are still a few design questions and choices to iterate on (e.g. the TF namespace/graph used during intermediate base-object derived meta object construction steps), but the basic class wrappers, helper functions, term representation and unification are working. Closes pymc-devs#3.
brandonwillard
added a commit
to brandonwillard/symbolic-pymc
that referenced
this issue
May 30, 2019
This commit provides basic TensorFlow graph interop. There are still a few design questions and choices to iterate on (e.g. the TF namespace/graph used during intermediate base-object derived meta object construction steps), but the basic class wrappers, helper functions, term representation and unification are working. Closes pymc-devs#3.
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Labels
enhancement
New feature or request
help wanted
Extra attention is needed
important
Features and issues that need to be addressed ASAP
meta graph
This issue involves the meta graph objects
TensorFlow
This issue involves the TensorFlow backend
We need meta objects and S-expression-like support for TensorFlow/
tensorflow_probability
and PyMC4.The text was updated successfully, but these errors were encountered: