[PIR] support pd_op.expand convert to cinn_opbroadcast_to (#59437)

* pir cinn support multi group

* update

* update

* fix pir cinn pow op bug

* remove useless code

* update

* update

paddle/cinn/hlir/dialect/operator/transforms/add_broadcast_to_elementwise_pass.cc

@@ -15,6 +15,7 @@
 #include "paddle/cinn/hlir/dialect/operator/transforms/add_broadcast_to_elementwise_pass.h"
 
 #include "paddle/cinn/hlir/dialect/operator/ir/cinn_op.h"
+#include "paddle/cinn/hlir/framework/pir/utils.h"
 #include "paddle/fluid/pir/dialect/operator/ir/op_attribute.h"
 #include "paddle/fluid/pir/dialect/operator/ir/op_type.h"
 #include "paddle/fluid/pir/dialect/operator/ir/pd_op.h"
@@ -82,19 +83,6 @@ bool IsSameDim(const phi::DDim& first, const std::vector<int64_t>& second) {
   return false;
 }
 
-std::vector<int64_t> GetBroadcastAxis(const phi::DDim& in_shape,
-                                      const std::vector<int64_t>& out_shape) {
-  std::vector<int64_t> broadcast_axes(in_shape.size(), 0);
-  auto in_shape_size = in_shape.size();
-  if (in_shape_size >= 1) {
-    for (int i = 1; i <= in_shape_size; ++i) {
-      broadcast_axes[in_shape_size - i] = out_shape.size() - i;
-    }
-  }
-
-  return broadcast_axes;
-}
-
 bool ProcessOp(pir::Operation* op, pir::PatternRewriter* rewriter) {
   auto x_dims = op->operand_source(0)
                     .type()
@@ -126,7 +114,7 @@ bool ProcessOp(pir::Operation* op, pir::PatternRewriter* rewriter) {
       } else {
         auto new_transpose_op = rewriter->Build<cinn::dialect::BroadcastOp>(
             op->operand_source(0),
-            GetBroadcastAxis(x_dims, output_shape),
+            cinn::hlir::framework::pir::GetBroadcastAxis(x_dims, output_shape),
             output_shape);
 
         op->operand(0).set_source(new_transpose_op->result(0));
@@ -152,7 +140,7 @@ bool ProcessOp(pir::Operation* op, pir::PatternRewriter* rewriter) {
       } else {
         auto new_transpose_op = rewriter->Build<cinn::dialect::BroadcastOp>(
             op->operand_source(1),
-            GetBroadcastAxis(y_dims, output_shape),
+            cinn::hlir::framework::pir::GetBroadcastAxis(y_dims, output_shape),
             output_shape);
 
         op->operand(1).set_source(new_transpose_op->result(0));

paddle/cinn/hlir/dialect/operator/transforms/pd_to_cinn_pass.cc

@@ -17,6 +17,7 @@
 #include "paddle/cinn/hlir/dialect/operator/ir/cinn_op.h"
 #include "paddle/cinn/hlir/dialect/operator/ir/manual_op.h"
 #include "paddle/cinn/hlir/dialect/operator/transforms/group_merge/op_with_group_merge_util.h"
+#include "paddle/cinn/hlir/framework/pir/utils.h"
 #include "paddle/fluid/pir/dialect/operator/ir/pd_op.h"
 #include "paddle/fluid/pir/drr/api/drr_pattern_base.h"
 #include "paddle/fluid/pir/drr/api/match_context.h"
@@ -356,6 +357,54 @@ class AddNOpPattern : public pir::OpRewritePattern<paddle::dialect::AddNOp> {
   }
 };
 
+class ExpandOpPattern
+    : public pir::OpRewritePattern<paddle::dialect::ExpandOp> {
+ public:
+  using pir::OpRewritePattern<paddle::dialect::ExpandOp>::OpRewritePattern;
+
+  bool MatchAndRewrite(paddle::dialect::ExpandOp op,
+                       pir::PatternRewriter &rewriter) const override {
+    auto out_shape_gen_op = op->operand_source(1)
+                                .dyn_cast<pir::OpResult>()
+                                .owner()
+                                ->dyn_cast<paddle::dialect::FullIntArrayOp>();
+
+    if (out_shape_gen_op) {
+      auto section_attr = out_shape_gen_op.attribute("value")
+                              .dyn_cast<pir::ArrayAttribute>()
+                              .AsVector();
+
+      std::vector<int64_t> output_shape;
+      if (section_attr.size() > 0) {
+        for (size_t i = 0; i < section_attr.size(); ++i) {
+          output_shape.push_back(
+              section_attr[i].dyn_cast<::pir::Int64Attribute>().data());
+        }
+      }
+
+      auto in_dim = op.operand_source(0)
+                        .type()
+                        .dyn_cast<paddle::dialect::DenseTensorType>()
+                        .dims();
+
+      auto broadcast_axis =
+          cinn::hlir::framework::pir::GetBroadcastAxis(in_dim, output_shape);
+
+      auto out = rewriter
+                     .Build<cinn::dialect::BroadcastOp>(
+                         op.operand_source(0), broadcast_axis, output_shape)
+                     .result(0);
+
+      rewriter.ReplaceAllUsesWith(op.result(0), out);
+
+      rewriter.EraseOp(op);
+      return true;
+    }
+
+    return false;
+  }
+};
+
 class SplitWithNumOpPattern
     : public pir::OpRewritePattern<paddle::dialect::SplitWithNumOp> {
  public:
@@ -478,6 +527,7 @@ pir::RewritePatternSet PdOpToCinnOpPass::InitializePatterns(
   ps.Add<SplitWithNumOpPattern>(context);
   ps.Add<AddNOpPattern>(context);
   ps.Add<SplitOpPattern>(context);
+  ps.Add<ExpandOpPattern>(context);
   // ps.Add(UniformOpPattern().Build(context));
 
   return ps;

paddle/cinn/hlir/framework/pir/utils.cc

@@ -273,6 +273,19 @@ std::vector<int> CompatibleInfo::ValueShape(const ::pir::Value& value) {
   return phi::vectorize<int>(dim);
 }
 
+std::vector<int64_t> GetBroadcastAxis(const phi::DDim& in_shape,
+                                      const std::vector<int64_t>& out_shape) {
+  std::vector<int64_t> broadcast_axes(in_shape.size(), 0);
+  auto in_shape_size = in_shape.size();
+  if (in_shape_size >= 1) {
+    for (int i = 1; i <= in_shape_size; ++i) {
+      broadcast_axes[in_shape_size - i] = out_shape.size() - i;
+    }
+  }
+
+  return broadcast_axes;
+}
+
 }  // namespace pir
 }  // namespace framework
 }  // namespace hlir

paddle/cinn/hlir/framework/pir/utils.h

@@ -20,6 +20,7 @@
 #include "paddle/cinn/common/type.h"
 #include "paddle/cinn/hlir/framework/op.h"
 #include "paddle/cinn/utils/type_defs.h"
+#include "paddle/phi/core/ddim.h"
 #include "paddle/pir/core/operation.h"
 
 namespace cinn {
@@ -77,6 +78,9 @@ struct CompatibleInfo {
   static OpPatternKind OpKind(const ::pir::Operation& op);
 };
 
+std::vector<int64_t> GetBroadcastAxis(const phi::DDim& in_shape,
+                                      const std::vector<int64_t>& out_shape);
+
 }  // namespace pir
 }  // namespace framework
 }  // namespace hlir