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I have experimented multiple models with ARM-NN on Cortex A53(mostly int8 quantized models with latency < 200ms). And I found XNNPACK generally gives a better latency result than ARM-NN. So I am tryin…
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On Android, when I load the model from local file with GPUDelegate passed in, the result is an error:
- on iOS it is fine
> ERROR Failed to load Tensorflow Model 40! [Error: Failed to create T…
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Hi, i want to use mobile GPU to infer my model
I see document and use this code to load model
```
final options = InterpreterOptions();
if (Platform.isAndroid) {
options.addDele…
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Hi,
We have been working with the VX delegate to execute TFLite models on the NPU of the i.MX 8M Plus which is a VeriSilicon's VIPNano-SI+. Doing so, we have found that there are mismatches between…
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### Issue type
Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.8
### Custom code
Yes
### OS platform and distribution…
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As of [tf.lite 2.17](https://github.com/tensorflow/tensorflow/releases/tag/v2.17.0), to quote the release announcement:
> - C API:
> - The experimental `TfLiteRegistrationExternal` type has bee…
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### Description of the bug:
- ai-edge-torch version: 2.0
- command
```c
CC=/usr/bin/clang-18 bazel run -c opt //ai_edge_torch/generative/examples/c++:text_generator_main -- --tflite_model=/mnt/da…
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### Issue type
Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf 2.16
### Custom code
No
### OS platform and distribution
…
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### Issue type
Feature Request
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf2.13
### Custom code
No
### OS platform and distribution…
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Hi,
I'm trying to build tensorflow lite for linux-x86_64 with the -gpu extension. I figured that the easiest way would be to use GitHub actions and just modify some of the workflow files, which I'…