fix fuse over functions that are handled by external codegen (#5365)

src/relay/backend/vm/compiler.cc

@@ -924,13 +924,6 @@ IRModule VMCompiler::OptimizeModule(const IRModule& mod, const TargetsMap& targe
   pass_seqs.push_back(transform::LambdaLift());
   pass_seqs.push_back(transform::InlinePrimitives());
 
-  // Manifest the allocations.
-  pass_seqs.push_back(transform::ManifestAlloc(this->target_host_));
-  // Compute away possibly introduced constant computation.
-  pass_seqs.push_back(transform::FoldConstant());
-  // Fuse the shape functions.
-  pass_seqs.push_back(transform::FuseOps());
-
   // Inline the functions that are lifted to the module scope. We perform this
   // pass after all other optimization passes but before the memory allocation
   // pass. This is because memory allocation pass will insert `invoke_tvm_op`
@@ -938,6 +931,13 @@ IRModule VMCompiler::OptimizeModule(const IRModule& mod, const TargetsMap& targe
   // external codegen.
   pass_seqs.push_back(transform::Inline());
 
+  // Manifest the allocations.
+  pass_seqs.push_back(transform::ManifestAlloc(this->target_host_));
+  // Compute away possibly introduced constant computation.
+  pass_seqs.push_back(transform::FoldConstant());
+  // Fuse the shape functions.
+  pass_seqs.push_back(transform::FuseOps());
+
   // Manifest the allocations needed for the shape functions.
   pass_seqs.push_back(transform::ManifestAlloc(this->target_host_));
 

src/relay/transforms/fuse_ops.cc

@@ -199,6 +199,9 @@ class IndexedForwardGraph::Creator : private ExprVisitor {
 
   // Post order tree
   void VisitExpr_(const FunctionNode* op) final {
+    // Skip the function that should be handled by external codegen.
+    if (op->GetAttr<String>(attr::kCompiler).defined()) return;
+
     for (auto param : op->params) {
       this->Update(param, nullptr, kOpaque);
     }

tests/python/relay/test_pass_partition_graph.py

@@ -457,7 +457,6 @@ def test_extern_dnnl_mobilenet():
     mod, params = relay.testing.mobilenet.get_workload(
         batch_size=1, dtype='float32')
 
-    mod["main"] = bind_params_by_name(mod["main"], params)
     mod = transform.AnnotateTarget(["dnnl"])(mod)
     mod = transform.MergeCompilerRegions()(mod)
     mod = transform.PartitionGraph()(mod)