[Bug Report] Nonsharded Add operation doesn't work then second parameter is scalar and dtype of input vector is int32

[bfilipovicTT]

Describe the bug
Nonsharded Add operation doesn't work then second parameter is scalar and dtype of input vector is int32.
so for example
ttnn.add(input_a, 10) //where dtype of input_a is ttnn.int32 would not produce the desired results

To Reproduce

Steps to reproduce the behavior:
Sweep test for add is located in 'tests/sweep_framework/sweeps/eltwise/binary/add/add_unary.py'

Checkout branch bfilipovicTT/eltwise-binary-sweeps-1

Generate new parameter vectors and run the sweep test

python3 tests/sweep_framework/sweeps_parameter_generator.py --elastic cloud --module-name eltwise.binary.add.add_unary
python3 tests/sweep_framework/sweeps_runner.py --elastic cloud --module-name eltwise.binary.add.add_unary --suite-name nightl

Screenshots

as you can see, the tensor above is result of ttnn.add, tensor bellow is the expected result gotten from torch.add (only first 6 elements of tensor are shown)