[Relay][Pass] Fix CombineParallelConv2D (#2167)

python/tvm/relay/build_module.py

@@ -13,9 +13,9 @@ from .backend import graph_runtime_codegen as _graph_gen
 # List of optimization pass and level when switch on
 OPT_PASS_LEVEL = {
     "SimplifyInference": 0,
-    "CombineParallelConv2D": 4,
     "OpFusion": 1,
     "FoldConstant": 2,
+    "CombineParallelConv2D": 3,
     "FoldScaleAxis": 3,
 }
 

src/relay/pass/combine_parallel_conv2d.cc

@@ -47,17 +47,22 @@ using Group = std::vector<Branch>;
 class BranchGroupFinder : private ExprVisitor {
  public:
   std::vector<Group> Find(const Expr& expr) {
+    static const Op& conv2d = Op::Get("nn.conv2d");
+
     this->VisitExpr(expr);
 
     std::vector<Group> groups;
     for (const auto& root : conv_roots_) {
-      const auto& convs = children_map_.at(root);
-      for (const CallNode* conv : convs) {
-        auto&& branch = CreateBranch(conv);
+      const auto& children = children_map_.at(root);
+      size_t ngroups = groups.size();
+      for (const CallNode* child : children) {
+        if (!child->op.same_as(conv2d)) continue;
+
+        auto&& branch = CreateBranch(child);
         // add the branch to a group, or create a new group
-        auto it = std::find_if(groups.begin(), groups.end(), [&](const Group& group) {
+        auto it = std::find_if(groups.begin() + ngroups, groups.end(), [&](const Group& group) {
           CHECK(!group.empty() && !group[0].empty());
-          return IsCompatibleConv2D(conv, group[0][0]);
+          return IsCompatibleConv2D(child, group[0][0]);
         });
         if (it != groups.end()) {
           it->push_back(branch);
@@ -108,7 +113,7 @@ class BranchGroupFinder : private ExprVisitor {
       const CallNode* call = it->second[0];
       auto pattern = fpattern[Downcast<Op>(call->op)];
       if (pattern <= kBroadcast) {
-        branch.push_back(it->second[0]);
+        branch.push_back(call);
         it = children_map_.find(GetRef<Expr>(branch.back()));
       } else {
         break;

tests/python/relay/test_pass_combine_parallel_conv2d.py

@@ -11,7 +11,8 @@ def test_combine_parallel_conv2d():
         # y3 cannot be combined
         y3 = relay.nn.conv2d(x, w3)
         y4 = relay.nn.conv2d(x, w4)
-        y = relay.Tuple((y1, y2, y3, y4))
+        y5 = relay.nn.max_pool2d(x)
+        y = relay.Tuple((y1, y2, y3, y4, y5))
         return relay.Function(args, y)
 
     def expected(x, w1, w2, w3, w4, channels1, channels2, channels3, channels4):
@@ -24,7 +25,8 @@ def test_combine_parallel_conv2d():
         y3 = relay.nn.conv2d(x, w3)
         y4 = relay.strided_slice(y, [0, channels1 + channels2],
                                  [None, channels1 + channels2 + channels4])
-        y = relay.Tuple((y1, y2, y3, y4))
+        y5 = relay.nn.max_pool2d(x)
+        y = relay.Tuple((y1, y2, y3, y4, y5))
         return relay.Function(args, y)
 
     def check(x_shape, channels1, channels2, channels3, channels4):