Comments (1)
For 4.25 you should use this build: https://github.com/getnamo/tensorflow-ue4/releases/tag/1.0.0alpha2
The structure has changed. It now expects a remote (or locally embedded) python environment which runs: https://github.com/getnamo/ml-remote-server/blob/master/README.md, see https://github.com/getnamo/ml-remote-server/blob/master/README.md#quick-setup for instructions on how to set that up, then using the new Tensorflow Component the rest should work as before with minor API changes.
I do need to update the documentation to emphasize this difference for 4.25+, it's currently a bit confusing. A second part is that I need to add an auto-run script for a locally embedded python setup so that it works without additional setup like earlier versions. It's the reason the 4.25 release is marked as alpha for the moment. These enhancements may take a bit of time due to schedule constraints.
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Related Issues (20)
- 4.22 - Failed to load the native TensorFlow runtime. HOT 7
- C++ project failed, but blueprint project works well HOT 2
- Refactor to support Native and Remote variants HOT 2
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- Tensorflow 2 support HOT 1
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- AttributeError: 'TensorFlowComponent' object has no attribute 'tfapi' HOT 7
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- Embedded Server: can't open file . . /ml-remote-server/server.py file No such file or directory HOT 2
- ImportError: No module named tensorflow HOT 2
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- The Following Modules are missing or built with a different engine version HOT 8
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- Question on Using Trained Model
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