fix compositonal get_item removing to_numpy and scalar calls while keeping it general enough

[Ishticode]

Should give same output shapes.

import ivy
ivy.set_backend('tensorflow')
x = ivy.random_uniform(shape = (12, 1, 128, 3, 3))
y = ivy.randint(0, 1, shape=(6, 1))
print(x[y].shape)

ivy.set_backend('numpy')
x = ivy.random_uniform(shape = (12, 1, 128, 3, 3))
y = ivy.randint(0, 1, shape=(6, 1))
print(x[y].shape)

or

import ivy
ivy.set_backend('tensorflow')
x = ivy.random_uniform(shape = (256, 128, 3, 3))
y = ivy.randint(0, 1, shape=(6, 1))
print(x[y].shape)

ivy.set_backend('numpy')
x = ivy.random_uniform(shape = (256, 128, 3, 3))
y = ivy.randint(0, 1, shape=(6, 1))
print(x[y].shape)

[github-actions]

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[vedpatwardhan]

@mattbarrett98, can we please run the tracer transpiler tests for these changes to get_item if they break anything? Thanks @Ishticode, everything seems good to go (apart from the cleanup of the code that you're planning to do) 😄