This PR does
1. Support the case where $c holding a mma layout, this should be useful
in forloop in k-axis in GEMM
2. Fix the `unrealized_conversion_cast` in ConvertLayout[shared->dot_op]
Known issue
1. There is some IO conflict in GEMM with a k-forloop, it is temporarily
solved by [adding a
barrier](https://github.com/openai/triton/pull/798/files#diff-8a9a5a7f4a025fb1299af29d190d5626bd9000406d3ea47c49679272d3d6abe9R3028)
in dot conversion, but we are still working on it, will get a more
generic fix for it in the following PR.
2. The parallel pass will result in a buggy instruction result type
```mlir
%1049 = llvm.inline_asm has_side_effects asm_dialect = att operand_attrs = [] "cp.async.commit_group ;", "" : () -> !llvm.void
%1050 = builtin.unrealized_conversion_cast %1049 : !llvm.void to !llvm.ptr<f16, 3>
```
So we temporarily disable it.
1, Disable static loop unrolling in the frontend by default;
2, A minor fix in axisAnalysis in order to support scf;
3, A minor fix in TritonGPUToLLVM to support swizzling.
This PR does
- fix some bugs to support masked load/store,
- refine frontend, and support the `and` and `or` syntax in mask(by
extending the BoolOp in python ast.visitor), e.g. `tl.store(...,
mask=offset<n and other_conditions)`,
- add `arith.cmpI` and `arith.cmpF` op conversion in backend(required by
mask),
- add more test cases in vecadd.
