[mlir][mesh] Shardingcontrol

mlir/include/mlir/Dialect/Mesh/IR/CMakeLists.txt

@@ -13,6 +13,10 @@ set(LLVM_TARGET_DEFINITIONS MeshBase.td)
 mlir_tablegen(MeshEnums.h.inc -gen-enum-decls)
 mlir_tablegen(MeshEnums.cpp.inc -gen-enum-defs)
 
+set(LLVM_TARGET_DEFINITIONS MeshBase.td)
+mlir_tablegen(MeshTypes.h.inc -gen-typedef-decls)
+mlir_tablegen(MeshTypes.cpp.inc -gen-typedef-defs)
+
 set(LLVM_TARGET_DEFINITIONS MeshOps.td)
 mlir_tablegen(MeshOps.h.inc -gen-op-decls)
 mlir_tablegen(MeshOps.cpp.inc -gen-op-defs)

mlir/include/mlir/Dialect/Mesh/IR/MeshBase.td

@@ -12,6 +12,7 @@
 include "mlir/IR/OpBase.td"
 include "mlir/IR/AttrTypeBase.td"
 include "mlir/IR/BuiltinTypeInterfaces.td"
+include "mlir/IR/CommonAttrConstraints.td"
 include "mlir/IR/EnumAttr.td"
 
 //===----------------------------------------------------------------------===//
@@ -31,11 +32,13 @@ def Mesh_Dialect : Dialect {
   ];
 
   let useDefaultAttributePrinterParser = 1;
+  let useDefaultTypePrinterParser = 1;
   let hasConstantMaterializer = 1;
 }
 
 def Mesh_MeshAxis : I<16>;
 def Mesh_MeshAxesAttr : DenseArrayAttrBase<"DenseI16ArrayAttr", "int16_t", "i16">;
+def Mesh_ShardShapeAttr : DenseArrayAttrBase<"DenseI64ArrayAttr", "int64_t", "i64">;
 
 //===----------------------------------------------------------------------===//
 // Mesh Enums.
@@ -59,104 +62,33 @@ def Mesh_ReductionKind : I32EnumAttr<"ReductionKind",
 }
 
 def Mesh_ReductionKindAttr : EnumAttr<Mesh_Dialect, Mesh_ReductionKind, "partial"> {
-  let assemblyFormat = "`<` $value `>`";
+  let assemblyFormat = "$value";
+}
+
+class Mesh_Type<string name, string typeMnemonic, list<Trait> traits = [],
+                   string baseCppClass = "::mlir::Type">
+    : TypeDef<Mesh_Dialect, name, traits, baseCppClass> {
+  let mnemonic = typeMnemonic;
+}
+
+def Mesh_Sharding : Mesh_Type<"Sharding", "sharding"> {
+  let summary = "sharding definition";
+  let assemblyFormat = "";
 }
 
 //===----------------------------------------------------------------------===//
 // Mesh Attribute
 //===----------------------------------------------------------------------===//
 
-def MeshSharding : AttrDef<Mesh_Dialect, "MeshSharding"> {
-  let mnemonic = "shard";
-
-  let parameters = (ins
-    AttrParameter<"::mlir::FlatSymbolRefAttr",
-     "The mesh on which tensors are sharded.">:$mesh,
-    ArrayRefParameter<"MeshAxesAttr">:$split_axes,
-    OptionalArrayRefParameter<"MeshAxis">:$partial_axes,
-    OptionalParameter<"::mlir::mesh::ReductionKind">:$partial_type
-  );
-
-  let summary = "Attribute that extends tensor type to distributed tensor type.";
-
-  let description = [{
-    The MeshSharding attribute is used in a `mesh.shard` operation.
-    It specifies how a tensor is sharded and distributed across the process
-    mesh.
-
-    1. `mesh`: this attribute is a FlatSymbolRefAttr that refers to the device
-    mesh where the distributed tensor is placed. The symbol must resolve to a
-    `mesh.mesh` operation.
-
-    2. `split_axes`: is an array composed of int64_t sub-arrays. The outer array's
-    maximum size is the `rank` of the related tensor. For the i-th sub-array, if
-    its value is [x, y], it indicates that the tensor's i-th dimension is splitted
-    along the x and y axes of the device mesh.
-
-    3. `partial_axes`: if not empty, this signifies that the tensor is partial
-    one along the specified mesh axes. An all-reduce should be applied to obtain
-    the complete tensor, with reduction type being specified by `partial_type`.
-
-    4. `partial_type`: indicates the reduction type of the possible all-reduce
-    op. It has 4 possible values:
-    `generic`: is not an allowed value inside a shard attribute.
-
-    Example:
-
-    ```
-    mesh.mesh @mesh0(shape = 2x2x4)
-
-    // The tensor is fully replicated on @mesh0.
-    // Currently, there must be at least one sub-array present in axes, even
-    // if it's empty. Otherwise, a parsing error will occur.
-    #mesh.shard<@mesh0, [[]]>
-
-    // The tensor is sharded on the first dimension along axis 0 of @mesh0
-    #mesh.shard<@mesh0, [[0]]>
-
-    // The tensor is sharded on the first dimension along axis 0 of @mesh0 and
-    // it is also a partial_sum along mesh axis 1.
-    #mesh.shard<@mesh0, [[0], []], partial = sum[1]>
-
-    // The tensor is sharded on the first dimension along axis 0 of @mesh0 and
-    // it is also a partial_max along mesh axis 1.
-    #mesh.shard<@mesh0, [[0]], partial = max[1]>
-
-    // Could be used in the attribute of mesh.shard op
-    %0 = mesh.shard %arg0 to <@mesh0, [[0]]> : tensor<4x8xf32>
-    ```
-  }];
-  let assemblyFormat = [{
-    `<` $mesh `,` `[` $split_axes `]` (`,` `partial` `=` $partial_type `[`
-       $partial_axes^ `]`)? `>`
-  }];
-
-  let builders = [
-    AttrBuilder<(ins "FlatSymbolRefAttr":$mesh,
-                     "ArrayRef<SmallVector<MeshAxis>>":$split_axes,
-                     "ArrayRef<MeshAxis>": $partial_axes,
-                     "mesh::ReductionKind": $partial_type), [{
-      SmallVector<MeshAxesAttr> splitAxesAttr = llvm::map_to_vector(
-                  split_axes, [&](ArrayRef<MeshAxis> array) {
-          return MeshAxesAttr::get($_ctxt, array);
-      });
-      return $_get($_ctxt, mesh, splitAxesAttr, partial_axes,
-                   partial_type);
-    }]>,
-    AttrBuilder<(ins "FlatSymbolRefAttr":$mesh,
-                     "ArrayRef<SmallVector<MeshAxis>>":$split_axes), [{
-      return MeshShardingAttr::get($_ctxt, mesh, split_axes, {}, ReductionKind::Sum);
-    }]>
-  ];
-
+def Mesh_MeshAxesArrayAttr : AttrDef<Mesh_Dialect, "MeshAxesArray"> {
+  let mnemonic = "axisarray";
+  let parameters = (ins ArrayRefParameter<"MeshAxesAttr">:$axes);
+  let assemblyFormat = "`[` $axes `]`";
   let extraClassDeclaration = [{
-    bool operator==(::mlir::Attribute rhs) const;
-    bool operator!=(::mlir::Attribute rhs) const;
-    bool operator==(::mlir::mesh::MeshShardingAttr rhs) const;
-    bool operator!=(::mlir::mesh::MeshShardingAttr rhs) const;
+    size_t size() const { return getAxes().size(); }
+    auto begin() const { return getAxes().begin(); }
+    auto end() const { return getAxes().end(); }
   }];
-
-  let genVerifyDecl = 1;
 }
 
 #endif // MLIR_DIALECT_MESH_IR_MESHBASE_TD

mlir/include/mlir/Dialect/Mesh/IR/MeshOps.h

@@ -24,6 +24,8 @@ namespace mesh {
 
 using MeshAxis = int16_t;
 using MeshAxesAttr = DenseI16ArrayAttr;
+using ShardShapeAttr = DenseI64ArrayAttr;
+using HaloSizePairAttr = DenseI64ArrayAttr;
 
 } // namespace mesh
 } // namespace mlir
@@ -33,6 +35,59 @@ using MeshAxesAttr = DenseI16ArrayAttr;
 #define GET_ATTRDEF_CLASSES
 #include "mlir/Dialect/Mesh/IR/MeshAttributes.h.inc"
 
+namespace mlir {
+namespace mesh {
+
+class MeshSharding {
+private:
+  ::mlir::FlatSymbolRefAttr mesh;
+  SmallVector<MeshAxesAttr> split_axes;
+  SmallVector<MeshAxis> partial_axes;
+  ReductionKind partial_type;
+  SmallVector<int64_t> static_halo_sizes;
+  SmallVector<int64_t> static_sharded_dims_sizes;
+  SmallVector<Value> dynamic_halo_sizes;
+  SmallVector<Value> dynamic_sharded_dims_sizes;
+
+public:
+  MeshSharding() = default;
+  MeshSharding(Value rhs);
+  static MeshSharding get(::mlir::FlatSymbolRefAttr mesh_,
+                          ArrayRef<MeshAxesAttr> split_axes_,
+                          ArrayRef<MeshAxis> partial_axes_ = {},
+                          ReductionKind partial_type_ = ReductionKind::Sum,
+                          ArrayRef<int64_t> static_halo_sizes_ = {},
+                          ArrayRef<int64_t> static_sharded_dims_sizes_ = {},
+                          ArrayRef<Value> dynamic_halo_sizes_ = {},
+                          ArrayRef<Value> dynamic_sharded_dims_sizes_ = {});
+  ::mlir::FlatSymbolRefAttr getMeshAttr() const { return mesh; }
+  ::llvm::StringRef getMesh() const { return mesh.getValue(); }
+  ArrayRef<MeshAxesAttr> getSplitAxes() const { return split_axes; }
+  ArrayRef<MeshAxis> getPartialAxes() const { return partial_axes; }
+  ReductionKind getPartialType() const { return partial_type; }
+  ArrayRef<int64_t> getStaticHaloSizes() const { return static_halo_sizes; }
+  ArrayRef<int64_t> getStaticShardedDimsSizes() const {
+    return static_sharded_dims_sizes;
+  }
+  ArrayRef<Value> getDynamicHaloSizes() const { return dynamic_halo_sizes; }
+  ArrayRef<Value> getDynamicShardedDimsSizes() const {
+    return dynamic_sharded_dims_sizes;
+  }
+  operator bool() const { return (!mesh) == false; }
+  bool operator==(Value rhs) const;
+  bool operator!=(Value rhs) const;
+  bool operator==(const MeshSharding &rhs) const;
+  bool operator!=(const MeshSharding &rhs) const;
+  bool equalSplitAndPartialAxes(const MeshSharding &rhs) const;
+  bool equalHaloAndShardSizes(const MeshSharding &rhs) const;
+};
+
+} // namespace mesh
+} // namespace mlir
+
+#define GET_TYPEDEF_CLASSES
+#include "mlir/Dialect/Mesh/IR/MeshTypes.h.inc"
+
 #define GET_OP_CLASSES
 #include "mlir/Dialect/Mesh/IR/MeshOps.h.inc"
 
@@ -50,9 +105,9 @@ void removeTrailingEmptySubArray(SmallVector<SmallVector<T>> &array) {
 }
 
 // Is the same tensor replicated on all processes.
-inline bool isFullReplication(MeshShardingAttr attr) {
-  return attr.getPartialAxes().empty() &&
-         llvm::all_of(attr.getSplitAxes(), [](MeshAxesAttr axes) {
+inline bool isFullReplication(MeshSharding sharding) {
+  return sharding.getPartialAxes().empty() &&
+         llvm::all_of(sharding.getSplitAxes(), [](MeshAxesAttr axes) {
            return axes.asArrayRef().empty();
          });
 }
@@ -80,8 +135,10 @@ mesh::MeshOp getMesh(Op op, SymbolTableCollection &symbolTableCollection) {
 template <>
 inline mesh::MeshOp
 getMesh<ShardOp>(ShardOp op, SymbolTableCollection &symbolTableCollection) {
-  return getMesh(op.getOperation(), op.getShardAttr().getMesh(),
-                 symbolTableCollection);
+  return getMesh(
+      op.getOperation(),
+      cast<ShardingOp>(op.getSharding().getDefiningOp()).getMeshAttr(),
+      symbolTableCollection);
 }
 
 // Get the number of processes that participate in each group
@@ -131,22 +188,22 @@ inline int64_t gatherDimension(int64_t dimSize, int64_t shardCount) {
 // On a 2x4x? mesh with split axes = [[0], [1], [2]] the shape ?x5x1 would
 // result in a shape for each shard of ?x2x?.
 ShapedType shardShapedType(ShapedType shape, MeshOp mesh,
-                           MeshShardingAttr sharding);
+                           MeshSharding sharding);
 
 // If ranked tensor type return its sharded counterpart.
 //
 // If not ranked tensor type return `type`.
 // `sharding` in that case must be null.
-Type shardType(Type type, MeshOp mesh, MeshShardingAttr sharding);
+Type shardType(Type type, MeshOp mesh, MeshSharding sharding);
 
 // Insert shard op if there is not one that already has the same sharding.
 // May insert resharding if required.
-void maybeInsertTargetShardingAnnotation(MeshShardingAttr sharding,
+void maybeInsertTargetShardingAnnotation(MeshSharding sharding,
                                          OpOperand &operand,
                                          OpBuilder &builder);
-void maybeInsertTargetShardingAnnotation(MeshShardingAttr sharding,
-                                         OpResult result, OpBuilder &builder);
-void maybeInsertSourceShardingAnnotation(MeshShardingAttr sharding,
+void maybeInsertTargetShardingAnnotation(MeshSharding sharding, OpResult result,
+                                         OpBuilder &builder);
+void maybeInsertSourceShardingAnnotation(MeshSharding sharding,
                                          OpOperand &operand,
                                          OpBuilder &builder);