#8536: Allow in0 and output to be sharded on different grids for mcast 1D in0

[TT-BrianLiu]

• Fully decouple in0 sender (ie. has in0 data) and receiver (ie. cores that produce work) grids
• This means user can now width shard in0 K and specify per_core_N that divides output width on arbitrary number of cores
• See tests/ttnn/sweep_tests/sweeps/sweeps/matmul/short/matmul_user_program_config_mcast_1d.py for examples

Changes:

• Remove this assert: TT_FATAL(div_up(N, per_core_N) == input_tensor_a.shard_spec().value().grid.num_cores());
• Separate in0 sender/recv cores into 3 kernel quadrants so all new logic is compile time
  • in0_mcast_cores_with_work_and_in_receiver_grid
  • in0_mcast_cores_without_work_and_in_receiver_grid
  • in0_mcast_cores_without_work_and_not_in_receiver_grid
• Only load compute and writer kernels onto cores that produce output work
• For interleaved in0, only mcast to cores with work as well; if single core, skip mcast
• Add new short matmul sweep to test mcast 1D matmul with different in0 and output grids
• Fork tt_eager/tt_dnn/op_library/bmm/kernels/dataflow/reader_bmm_tile_layout_in0_sender_receiver_padding_block_sharded.cpp to *width_sharded.cpp
• TODO: Merge these kernels back once mcast 2D matmul is uplifted to support this feature

[TT-BrianLiu]

This is a current draft with width sharded (mcast in0) working. Remaining TODOs:
- [ ] 2d mcast needs to work since it uses same in0 sharded reader kernel (will do in separate PR)

• Move all new logic to reader kernels to compile time
• Clean up and add more tests

[TT-BrianLiu]

Passing pipelines:

• post commit all: https://github.com/tenstorrent/tt-metal/actions/runs/9210782867
• post commit models tests: https://github.com/tenstorrent/tt-metal/actions/runs/9210784488
• post commit ttnn unit tests: https://github.com/tenstorrent/tt-metal/actions/runs/9210785818
• device perf: https://github.com/tenstorrent/tt-metal/actions/runs/9210791946
• models perf: https://github.com/tenstorrent/tt-metal/actions/runs/9210793801