akshatvishu

[bug-fix] fixed einsum throwing unwanted shape error at torch frontends

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Close #17243 At present, using `torch_frontend.einsum` results in an `shape` error: ```python import ivy import ivy.functional.frontends.torch as torch_frontend import torch import jax.numpy as jnp x = torch.rand((1, 1, 100, 64))...

Make `Numpy` args compitable with `torch` function.

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Close #17950 Also, fixed `squeeze` method not getting properly called at `torch_frontend.median` implementation. As discussed with @AnnaTz ; to provide the same compatibility that `torch` offers within its framework to...

Currently the implementation for `paddle.Tensor.astype` is passing positional argument `dtype` as keyword argument which is throwing an error. Implementation: [code](https://github.com/unifyai/ivy/blob/master/ivy/functional/frontends/paddle/tensor/tensor.py#L258) Also, fixed the `decorator` to specify `bfloat16` as the only...

feat(paddle-frontend): add `is_empty` API to resolve unresolved reference

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# PR Description Previously, there was a call to `ivy.is_empty` in ivy's codebase which was not available. This commit adds the `is_empty` API to the `paddle` frontends, resolving this issue....