ttnn.div_bw unary inconsistent documentation regarding input tensors layout

[amalbasaTT]

ttnn.div_bw doesn't support ROW_MAJOR layout despite what it says in the documentation. When one or both of the input tensors has ROW_MAJOR layout, the FATAL error "Inputs to eltwise binary must be tilized" is thrown.

To Reproduce
Steps to reproduce the behavior:
Sweep test for div_bw is located in 'tests/sweep_framework/sweeps/eltwise/unary_backward/div_bw/div_bw.py'

1. Go to 'tests/sweep_framework/sweeps/eltwise/unary_backward/div_bw/div_bw.py'
2. Remove next lines of code from the invalidate_vector function:

    if test_vector["input_layout"] == ttnn.ROW_MAJOR_LAYOUT:
        return True, "Inputs to eltwise binary must be tilized"

4. Generate new parameter vectors and run the sweep test

python3 tests/sweep_framework/sweeps_parameter_generator.py --elastic cloud --module-name eltwise.unary_backward.div_bw.div_bw
python3 tests/sweep_framework/sweeps_runner.py --elastic cloud --module-name eltwise.unary_backward.div_bw.div_bw 

5. See error. Results can be found on elastic cloud as explained here: https://github.com/tenstorrent/tt-metal/tree/main/tests/sweep_framework

Expected behavior
For vectors with grad_layout and input_a_layout being ROW_MAJOR_LAYOUT, test will fail with the message "inputs to eltwise binary must be tilized"

[KalaivaniMCW]

Updated doc