Fixed math.paddle.conj for jax, numpy, tensorflow and torch

[ZJay07]

PR Description

Some dtypes in numeric aren't supported by paddle.conj, changed it so that it is more consistent with the paddle docs.
Not sure why float16 was not supported as well despite paddle docs mention it is supported.

FAILED ivy_tests/test_ivy/test_frontends/test_paddle/test_math.py::test_paddle_conj[cpu-tensorflow-False-False] - RuntimeError: (NotFound) The kernel with key (CPU, Undefined(AnyLayout), float16) of kernel conj is not registered. Selected wrong DataType float16. Paddle support following DataTypes: int32, int64, float64, complex128,...

ref : https://www.paddlepaddle.org.cn/documentation/docs/en/api/paddle/conj_en.html#conj

Related Issue

Closes ##28511
Closes ##28510
Closes ##28509
Closes ##28508

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[Ishticode]

Thanks @ZJay07 for the fix
float16 is mentioned as supported in paddle docs but upon actually checking with the function it throws error. so this set of supporte dtype specification is correct.
Will merge soon :)