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Invalid argument: unsupported datatype 'TYPE_BYTES' on 20.08

See original GitHub issue

Description Using to load a Tensorflow 1.15 savedmodel, and get the error log as follows

triton_1  | E0904 09:38:33.860808 1] failed to load 'test_model' version 1: Invalid argument: unsupported datatype 'TYPE_BYTES' for tensor 'feature1' for model 'test_model'

but the same model can be successful loaded with

I also try set --backend-config=tensorflow,version=1 to the new version, but still shows that error.

In addition, I can make sure this tensor in my model is DT_STRING type, not the BYTES type.

It seems this is a compatible issue between tf 1.x and 2.x

Triton Information Release 2.2.0 corresponding to NGC container 20.08

Are you using the Triton container or did you build it yourself? use official image

To Reproduce maybe load a tf 1.x model with DT_STRING tensor will reproduce this error

Expected behavior tf 1.15 savedmoel can be loaded the same as old version.

Issue Analytics

  • State:closed
  • Created 3 years ago
  • Comments:5 (3 by maintainers)

github_iconTop GitHub Comments

deadeyegoodwincommented, Sep 14, 2020

This issue is fixed in the 20.09 release, which is releasing later this week.

fsatkacommented, Sep 14, 2020

I have same problem with docker image Can you update it please?

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