Revert "[MLIR][XeGPU] Add unroll patterns and blocking pass for XeGPU [2/N]"

mlir/include/mlir/Dialect/XeGPU/IR/XeGPUAttrs.td

@@ -295,17 +295,11 @@ def XeGPU_LayoutAttr : XeGPUAttr<"Layout", "layout"> {
     }
 
     LayoutAttr dropSgLayoutAndData() {
-      // avoid every field of the attribute is nullptr, which may lead to segment fault
-      if (!getInstData() && !getLaneLayout())
-        return nullptr;
       return LayoutAttr::get(getContext(), nullptr, nullptr, getInstData(),
                              getLaneLayout(), getLaneData(), getOrder());
     }
 
     LayoutAttr dropInstData() {
-      // avoid every field of the attribute is nullptr, which may lead to segment fault
-      if (!getSgLayout() && !getLaneLayout())
-        return nullptr;
       return LayoutAttr::get(getContext(), getSgLayout(), getSgData(), nullptr,
                              getLaneLayout(), getLaneData(), getOrder());
     }

mlir/include/mlir/Dialect/XeGPU/Transforms/Passes.td

@@ -45,17 +45,4 @@ def XeGPUWgToSgDistribute : Pass<"xegpu-wg-to-sg-distribute"> {
                            "gpu::GPUDialect", "index::IndexDialect"];
 }
 
-def XeGPUBlocking: Pass<"xegpu-blocking"> {
-  let summary = "Block XeGPU ops into smaller size.";
-  let description = [{
-    This pass partitions operations that process large shapes into multiple
-    operations on smaller shapes, as specified by the inst_data in the layout
-    attribute. This enables each resulting operation to be efficiently mapped
-    to a hardware instruction.
-  }];
-  let dependentDialects = [
-      "memref::MemRefDialect", "xegpu::XeGPUDialect", "vector::VectorDialect"
-  ];
-}
-
 #endif // MLIR_DIALECT_XEGPU_TRANSFORMS_PASSES_TD

mlir/include/mlir/Dialect/XeGPU/Utils/XeGPUUtils.h

@@ -13,12 +13,6 @@
 namespace mlir {
 
 class VectorType;
-class OpOperand;
-class OpResult;
-class OpBuilder;
-class ValueRange;
-class TypeConverter;
-
 namespace xegpu {
 class LayoutAttr;
 class TensorDescType;
@@ -56,59 +50,6 @@ FailureOr<VectorType> getDistributedVectorType(xegpu::TensorDescType tdescTy);
 FailureOr<VectorType> getDistributedVectorType(VectorType originalType,
                                                LayoutAttr layout);
 
-/// Return the attribute name for the OpOperand to attach LayoutAttr
-std::string getLayoutName(const OpOperand &operand);
-
-/// Return the attribute name for the OpResult to attach LayoutAttr
-std::string getLayoutName(const OpResult result);
-
-/// Retrieves the LayoutAttr associated with a given Value. For TensorDescType
-/// values, the LayoutAttr is extracted from the TensorDescType itself. For
-/// other values, it is obtained from the attributes of the defining operation.
-/// Returns nullptr if no LayoutAttr is found.
-LayoutAttr getLayoutAttr(const Value value);
-
-/// Retrieves the LayoutAttr associated with a given OpOperand. It will
-/// first check the operand_layout_{id} of the owner operation. If not found,
-/// it will check the operand itself and its defining op.
-LayoutAttr getLayoutAttr(const OpOperand &opr);
-
-/// Sets the LayoutAttr for a given OpOperand or OpResult by attaching
-/// it to the owner's dictionary attributes
-template <typename T,
-          typename = std::enable_if_t<std::is_same_v<T, OpOperand> ||
-                                      std::is_same_v<T, OpResult>>>
-void setLayoutAttr(const T &operandOrResult, const LayoutAttr layout);
-
-/// Set the LayoutAttr for each OpOperand and OpResult of the given operation.
-/// If the operation contains regions, it is also applied recursively to the
-/// contained operations
-void setLayoutAttrs(Operation *op,
-                    function_ref<LayoutAttr(Value)> getLayoutImpl);
-
-/// Extract a set of small vectors from a value with a given shape using
-/// vector.extract_stride_slice
-SmallVector<Value> extractVectorsWithShapeFromValue(OpBuilder &builder,
-                                                    Location loc, Value value,
-                                                    ArrayRef<int64_t> shape);
-
-/// Create a vector of shape from a set of values using
-/// vector.insert_stride_slice.
-Value createVectorWithShapeFromValues(OpBuilder &builder, Location loc,
-                                      ValueRange values,
-                                      ArrayRef<int64_t> shape);
-
-/// Do type conversion for SCF structural ops, e.g., scf.for using SCF structure
-/// type convertion patterns. Since VectorType cannot carry the layout
-/// attribute, which is needed to guide the type conversion for XeGPU, they are
-/// first converted into RankedTensorType, where the layout attribute can be
-/// attached. And then upstream SCF structural type conversion patterns are
-/// applied with the provided converter.
-/// TODO: This is a temporary solution. We should refactor it when context-aware
-/// type conversion is available.
-void doSCFStructuralTypeConversionWithTensorType(Operation *op,
-                                                 TypeConverter converter);
-
 } // namespace xegpu
 
 } // namespace mlir

mlir/lib/Dialect/XeGPU/Transforms/CMakeLists.txt

@@ -1,5 +1,4 @@
 add_mlir_dialect_library(MLIRXeGPUTransforms
-  XeGPUBlocking.cpp
   XeGPUFoldAliasOps.cpp
   XeGPUSubgroupDistribute.cpp
   XeGPUUnroll.cpp