sushreebarsa comments

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                                            sushreebarsa

Using the function signatures loaded from a SavedModel requires the original trackable object be kept in scope.

@psobot Could you please have a look at this [gist](https://colab.research.google.com/gist/sushreebarsa/76d80574890e981d5ae970f1037b0c78/gist46708.ipynb) and let us know if it helps?Thanks!

Using the function signatures loaded from a SavedModel requires the original trackable object be kept in scope.

@psobot I have provided the saved model path in the updated gist and the code works fine for mnist model in TF v2.8.0. Thanks!

Retrieving exactly the same recommendations for all users

@hamcapem In order to expedite the trouble-shooting process here,Could you please fill the issue [template](https://github.com/tensorflow/tensorflow/issues/new/choose), Thanks!

Retrieving exactly the same recommendations for all users

@hamcapem Could you please let us know which TF version you are using ? Thanks!

Retrieving exactly the same recommendations for all users

@Saduf2019 Was able to replicate the issue on colab using TF v2.6.0 ,please find the [gist](https://colab.research.google.com/gist/sushreebarsa/cb2ac34b3cdabd2ad1ccdace0dd19f07/basic_retrieval.ipynb) for reference.Thanks!

tf.quantization.fake_quant_with_min_max_vars(_gradient) crash(abort)

I ran the code shared on tf-nightly, & colab crashes. please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/bf4216da6dc1467fbf5227bb63ac5878/untitled520.ipynb#scrollTo=gBvtr8o68x53).Thank you!

Use of Keras `jit_compile` in a distribution strategy causes a `std::system_error`

@TimCargan Please post this issue on [keras-team/keras repo.](https://github.com/keras-team/keras/issues) To know more see; [https://discuss.tensorflow.org/t/keras-project-moved-to-new-repository-in-https-github-com-keras-team-keras/1999](https://discuss.tensorflow.org/t/keras-project-moved-to-new-repository-in-https-github-com-keras-team-keras/1999) Thank you !

Introduce ability to clear GPU memory in Tensorflow 2

@GatGit12 could you please let us know if this issue is fixed for you as per[ this comment](https://github.com/tensorflow/tensorflow/issues/48545#issuecomment-880707176),thanks!

Using the same seed kwarg returns different values between GlorotUniform and GlorotUniformV2

@sachinprasadhs Was able to reproduce the issue on colab using `TF v2.6.0` ,Please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/b14b4e3b9e46ac918dd4d367404a6de2/glorotuniforminitializationwithseedissue.ipynb) for reference.Thank you!

`Square` and `Sqrt` ops do not support complex values on GPU

@jmontalt Please post this issue on [keras-team/keras repo.](https://github.com/keras-team/keras/issues) To know more see; [https://discuss.tensorflow.org/t/keras-project-moved-to-new-repository-in-https-github-com-keras-team-keras/1999](https://discuss.tensorflow.org/t/keras-project-moved-to-new-repository-in-https-github-com-keras-team-keras/1999) Thanks!