[Refactor] Rebase pipeline injector from upstream tvm (#687)

* [Enhancement] Introduce software pipeline rewriter and refactor buffer access handling

- Added a new `PipelineOpaqueAccessRewriter` class to manage opaque buffer accesses in the software pipeline.
- Refactored the `PipelineBodyRewriter` to utilize the new rewriter for improved buffer access handling.
- Enhanced the `PipelineRewriter` to support additional fragment information and streamline pipeline construction.
- Updated tests to reflect changes in buffer management and access patterns, ensuring compatibility with the new structure.
- Removed obsolete code related to previous buffer access methods for clarity and maintainability.

* test fix

testing/python/amd/test_tilelang_gemm_mfma_intrinsic.py

 import torch
-import torch.backends
 import tilelang.testing
 from tilelang import tvm as tvm
 import tilelang.language as T

testing/python/transform/test_tilelang_transform_Inject_software_pipeline.py

@@ -9,6 +9,7 @@ def _check(original, transformed):
     mod = tvm.IRModule.from_expr(func.with_attr("global_symbol", "main"))
     mod = tl.transform.InjectSoftwarePipeline()(mod)
     mod = tl.transform.Simplify()(mod)
+    print(mod["main"])
     tvm.ir.assert_structural_equal(mod["main"], transformed.with_attr("global_symbol", "main"),
                                    True)
 
@@ -41,30 +42,22 @@ def test_trival_pipeline():
     @T.prim_func
     def expected(A: T.Tensor((16, 1), "float32"), C: T.Tensor((16, 1), "float32")) -> None:
         for tx in T.thread_binding(16, thread="threadIdx.x"):
-            with T.block():
+            with T.block(""):
                 T.reads(A[tx, 0])
                 T.writes(C[tx, 0])
-                B = T.alloc_buffer([2, 16, 1], dtype="float32", scope="shared")
-                with T.block():
+                B = T.alloc_buffer((2, 16, 1), scope="shared")
+                with T.block(""):
                     T.reads(A[tx, 0])
                     T.writes(B[0, tx, 0])
-                    B[0, tx, 0] = A[tx, 0] * T.float32(2)
-                with T.block():
-                    T.reads(A[tx, 1:1], B[0:2, tx, 0])
-                    T.writes(B[1:1, tx, 0], C[tx, 0:0])
-                    for i in range(0):
+                    B[0, tx, 0] = A[tx, 0] * T.float32(2.0)
                 with T.block(""):
-                            T.reads(A[tx, i + 1])
-                            T.writes(B[i + 1, tx, 0])
-                            B[i + 1, tx, 0] = A[tx, i + 1] * T.float32(2)
+                    T.reads()
+                    T.writes()
+                    T.evaluate(0)
                 with T.block(""):
-                            T.reads(B[i, tx, 0])
-                            T.writes(C[tx, i])
-                            C[tx, i] = B[i, tx, 0] + T.float32(1)
-                with T.block():
                     T.reads(B[0, tx, 0])
                     T.writes(C[tx, 0])
-                    C[tx, 0] = B[0, tx, 0] + T.float32(1)
+                    C[tx, 0] = B[0, tx, 0] + T.float32(1.0)
 
     _check(before, expected)