Depthwise 1D convolution needed for Mamba prefill

[esmalTT]

We require a 1D depth-wise convolution to implement the Mamba prefill phase. There is currently no support for 1D convolution in tt-metal.

We require something that implements the same behaviour has the following PyTorch layer:

torch.nn.Conv1d(
    in_channels=5120,
    out_channels=5120,
    bias=True,
    kernel_size=4,
    groups=5120,
    padding=3,
)