[Bug Report] Ttnn::multiply does not broadcast in second dimension

[dmakoviichuk-tt]

Describe the bug
Ttnn::multiply do not broadcast in second dimension.
Fails silently by throwing near NaN/Inf valuesTo Reproduce
Steps to reproduce the behavior:

with ttnn.manage_device(device_id=0) as device:
    x = torch.ones((16, 16, 32, 32), dtype=torch.bfloat16)
    y = torch.ones((16, 1, 32, 32), dtype=torch.bfloat16) * 0.5
    
    x_tt = ttnn.from_torch(x, dtype=ttnn.bfloat16, layout=ttnn.TILE_LAYOUT, device=device)
    y_tt = ttnn.from_torch(y, dtype=ttnn.bfloat16, layout=ttnn.TILE_LAYOUT, device=device)

    x_y_mult_tt = ttnn.multiply(x_tt, y_tt)
    print(ttnn.to_torch(x_y_mult_tt))

It will print a garbage.
Expected behavior
it should work.

Additional context
Currently it requires us to generate broadcasted vectors on cpu.
It is a huge problem for a training performance.
@eyonland if you don't think you can fix it please let me know I'll find another owner.

[eyonland]

Are you able to use ttnn.bcast here instead as a workaround?

[umadevimcw]

@dmakoviichuk-tt @eyonland #13673

The above PR holds functionality support for broadcasting the second dimension using repeat. This will affect the performance as we are using the repeat op but we can use it now for functionality and update this later once broadcast support is updated

[umadevimcw]

PR is merged to main. Hence closing this issue