sushreebarsa
sushreebarsa
@PierrickPochelu Could you refer to the [comment](https://github.com/keras-team/keras/issues/17102#issuecomment-1265415985) above and let us know if it helps? Thank you!
@PierrickPochelu Thank you for the confirmation!
@PierrickPochelu Could you please confirm if this issue is resolved? Thank you!
@jeromemassot In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you!
@arm-ssingh Could you refer the comment above and let us know if it helps? Thank you!
@SuryanarayanaY I was able to replicate the issue reported here in TF [v2.15](https://colab.research.google.com/gist/sushreebarsa/e47de13ce3d7ab964df87812d20dbbf6/64256-2-15.ipynb) and [nightly](https://colab.research.google.com/gist/sushreebarsa/fc9c337ff30691104e65d46be9b7434c/64256-tf-nightly.ipynb). Thank you!
@Doev Could you please check this similar issues link [1](https://stackoverflow.com/questions/36927607/how-can-i-solve-ran-out-of-gpu-memory-in-tensorflow),link [ 2](https://stackoverflow.com/questions/46023775/why-keras-with-tensorflow-is-not-using-all-gpu-memory) ,link [ 3 ](https://stackoverflow.com/questions/46225077/tensorflow-doesnt-allocate-full-gpu-memory), link [4](https://stackoverflow.com/questions/34199233/how-to-prevent-tensorflow-from-allocating-the-totality-of-a-gpu-memory) and let us know if it helps?Thank you!
@Doev I tried to replicate the issue in TF `v2.7.0` and `tf-nightly(2.8.0.dev2021122109)` on Colab .Could you please find the gist [here](https://colab.sandbox.google.com/gist/sushreebarsa/279472e07190f020642385444b33570d/53519.ipynb) and confirm the same?Thank you!
@CNugteren This issue might not be occurring in TF v2.13 or older but it is a known issue for TF v2.14. Could you try to use TFLite micro converter as...
@CNugteren Yes, it is a workaround and it doesn't solve the real issue. To use the TFLite Micro converter to convert a GRU model, you can use the following command:...