Comments (3)
First thing is I want to figure out if this is a version compat issue or a general bug:
Is this a problem with TF 1.9 specifically? Has it worked on previous versions but now you need to run it on 1.9 for some other reason?
If it's only on 1.9, did you bump the TF version on both the Python & Java ends?
There's a decent chance this is just fragility in how the input/output nodes in the graph are getting passed between python & java.
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If you can leave some more specifics about how you're obtaining, saving, and loading the model that'd be helpful in figuring out what's wrong
from easy-bert.
I didn't try for lower versions of TF. It works fine from TF 1.11 onwards but not on TF 1.9. I used your simple code to save model on Python side (I printed TF version). Loaded on Java side and tried to extract embeddings again using your sample code for Java (I printed TF version here as well).
Later I tried with models using your pom entries as well (i.e., without saving-in-python-then-loading-in-java).
I got this exception on both occassions.
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Related Issues (17)
- Changing Max Sequence Length HOT 1
- Java API model.json not found HOT 8
- Failed to locate the model in Java HOT 2
- Could not find meta graph def matching supplied tags: { serve } HOT 2
- Results difficult to explain HOT 2
- can i use it in my java project? HOT 3
- how can i fine tuning bert then apply it in easy-bert's java project?
- return length of the Java embedTokens() method HOT 4
- Hi Rob,
- java: no jnitensorflow in java.library.path
- the model file HOT 1
- No module named 'tensorflow.contrib' (Support for TF > 2.0) HOT 1
- Bump for tensorflow version 2.7.1
- Performance of the Java API with GPU support HOT 9
- Allow dynamic allocation of GPU memory HOT 1
- Additional models for Java API HOT 5
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