Fix AsyncTP enabling#3869
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@jenniew pytorch/pytorch#172163, calling |
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After we set enable_async_tensor_parallel in torchtitan, it would run micro_pipeline_tp_pass to fuse_all_gather_matmul and fuse_matmul_reduce_scatter. fuse_all_gather_matmul and fuse_matmul_reduce_scatter would check is_symm_mem_enabled_for_group is True or False. If is_symm_mem_enabled_for_group is False, fuse_all_gather_matmul and fuse_matmul_reduce_scatter would not replace matched patterns with torch.ops.symm_mem.fused_all_gather_matmul and torch.ops.symm_mem.fused_scaled_matmul_reduce_scatter.
In torchtitan, we haven't enabled symm_mem_enabled_for_group during initialization, so the check would be fail, and symmetric fused APIs would not be used.
This PR is to enable symm_mem_enabled_for_group during the torchtitan trainner initialization.