Somasree Majumder comments

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                                            Somasree Majumder

feat: Update general_functions.py by adding random_normal_initializer

@tagrib kindly resolve the conflicts and write the corresponding tests

Do performance tests with pytorch.fft

@abigailStev @matteobachetti @dhuppenkothen I think the torch.fft module was implemented mainly because PyTorch FFT implementation provides support for parallelized FFTs using the torch.nn.DataParallel wrapper, which allows users to perform FFTs...

Do performance tests with pytorch.fft

But I considering the fact how can we make stingray fast by using the torch.fft module.I would like to discuss more on this topic

Community contribution - `optimum.exporters.onnx` support for new models!

@fxmarty working on FLAVA

fix: Fixed `ivy.expand_dims` for all backends

@Vismay-dev kindly resolve the conflicts.

CI: test binder startup

@bsipocz working on this one.

Community contribution - `BetterTransformer` integration for more models!

@younesbelkada doing Detr - [DetrLayer](https://github.com/huggingface/transformers/blob/95754b47a6d4fbdad3440a45762531e8c471c528/src/transformers/models/detr/modeling_detr.py#L610)

Roadmap to port Keras layers to Torch

@rbharath working on GraphCNN

💡 [REQUEST] - How to use TorchServe: Walk through an example

/assigntome

💡 [REQUEST] - How to use TorchServe: Walk through an example

Sure @svekars .Sorry for the delay