fix: Fixed paddle.math.floor for jax, torch, and tensorflow backends

[Sai-Suraj-27]

PR Description

Fixed paddle.math.floor for jax, torch, and tensorflow backends

Related Issue

Closes #28417
Closes #28418
Closes #28419

Checklist

• Did you add a function?
• Did you add the tests?
• Did you run your tests and are your tests passing?
• Did pre-commit not fail on any check?
• Did you follow the steps we provided?

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[Sai-Suraj-27]

Even though the documentation of paddle paddle says that the supported dtypes are float32, float64 or float16. When we test the function using float16 dtype, it gives error and say's that it supports only float32, float64. So, I removed it as a supported dtype.

Paddle Paddle version: 2.6.0 (Latest)

[MuhammadNizamani]

Even though the documentation of paddle paddle says that the supported dtypes are float32, float64 or float16. When we test the function using float16 dtype, it gives error and say's that it supports only float32, float64. So, I removed it as a supported dtype.

Paddle Paddle version: 2.6.0 (Latest)

@Sai-Suraj-27 I am facing the same issue paddlepaddle docs says something and paddle backed does not support.

[Ishticode]

Even though the documentation of paddle paddle says that the supported dtypes are float32, float64 or float16. When we test the function using float16 dtype, it gives error and say's that it supports only float32, float64. So, I removed it as a supported dtype.
Paddle Paddle version: 2.6.0 (Latest)

@Sai-Suraj-27 I am facing the same issue paddlepaddle docs says something and paddle backed does not support.

Yh paddle's docs are sometimes incorrect in this regard. One might have to check manually. or you can write a loop with all dtypes and try except block that you can run for any function and it would clearly show which dtypes are actually supported.

[Ishticode]

looks good. Your are right about paddle docs. Thanks for the efforts. :)