Strip control inputs from graph when creating new TF functions from tensors. #5
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
When using
create_function_from_tensors
to create a new TensorFlow function from an existing TF model or graph, the presence of control inputs can cause the extraction of a sub-graph to fail. These control inputs are generally only used during training, while this function is usually used for inference.This PR adds a new argument to
create_function_from_tensors
to allow including control inputs, which are now omitted by default. To detect control inputs, we use the same criteria as the main TensorFlow package.