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# Goals
Use TensorFlow for model back-ends to enable better extensibility. This issue will server as a base of operations regarding the progress and/or discussion around the implementation.
# As…
3ygun updated
7 years ago
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Hello!
Impressive code for an impressive paper!
Where can I find tensorflow bindings?
Or how can I create them?
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**Describe the bug**
After successfully converting a tensorflow frozen graph(.pb) into a .oonx model, I encountered a warning while inferring the onnx model with onnxruntime-gpu in python.
The warni…
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.10 or 2.11
### Custom code
Yes
### OS platform …
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Figure out type and parameters of model to use for each dataset.
- [x] See if we need to do any preprocessing with data from real or synthetic data set
- [x] Figure out what kind of model to use …
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I have trained some models in Tensorflow 2.16 / Keras 3 and inference works in a normal python process. It appears to load successfully in Triton but fails upon inference with the following error logs…
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Could you please tell which TensorFlow version you use?
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.17.1
### Custom code
Yes
### OS platform and distribution
Ubuntu 22…
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### Steps To Reproduce
Here is a flake for reproduction:
```nix
{
inputs = {
nixpkgs.url = "github:nixos/nixpkgs/nixos-24.05";
};
outputs = { self, nixpkgs, ... }@inputs:
let
…
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The switch from Keras 2 to Keras 3 in Tensorflow 2.16 apparently breaks `tf2onnx`:
```python
import tf2onnx
...
onnx_model, _ = tf2onnx.convert.from_keras(model)
# AttributeError: ... object has …