[Refactor] Expose meta-schedule related packed func in a header and call it directly

src/relay/backend/te_compiler_cache.cc

@@ -21,6 +21,7 @@
 
 #include <tvm/driver/driver_api.h>
 #include <tvm/ir/type_functor.h>
+#include <tvm/meta_schedule/integration.h>
 #include <tvm/relay/analysis.h>
 #include <tvm/relay/attrs/device_copy.h>
 #include <tvm/relay/expr.h>
@@ -41,6 +42,7 @@
 #include <utility>
 #include <vector>
 
+#include "../../te/operation/create_primfunc.h"
 #include "../op/memory/memory.h"
 #include "../transforms/pass_utils.h"
 #include "utils.h"
@@ -178,16 +180,11 @@ class ScheduleBuilder : public backend::MemoizedExprTranslator<Array<te::Tensor>
         }
       }
       if (use_meta_schedule_) {
-        const auto* f_create_func = runtime::Registry::Get("te.CreatePrimFuncFromOutputs");
-        const auto* f_meta_schedule =
-            runtime::Registry::Get("meta_schedule.MetaScheduleContextQueryInsideWithScope");
-        ICHECK(f_create_func) << "te.CreatePrimFuncFromOutputs is not registered";
-        ICHECK(f_meta_schedule)
-            << "meta_schedule.MetaScheduleContextQueryInsideWithScope is not registered";
-        prim_func = (*f_create_func)(tensor_outs);
+        prim_func = tir::CreatePrimFuncFromOutputs(tensor_outs);
         Optional<ObjectRef> opt_mod_or_base_func =
-            (*f_meta_schedule)(prim_fn_var->name_hint, IRModule({{prim_fn_var, relay_func}}),
-                               target_, Array<IRModule>{IRModule({{prim_fn_var, prim_func}})});
+            meta_schedule::MetaScheduleContext::QueryInsideWithScope(
+                prim_fn_var->name_hint, IRModule({{prim_fn_var, relay_func}}), target_,
+                Array<IRModule>{IRModule({{prim_fn_var, prim_func}})});
         if (const auto* result = opt_mod_or_base_func.as<tir::PrimFuncNode>()) {
           prim_func = GetRef<tir::PrimFunc>(result);
         } else {

src/te/operation/create_primfunc.cc

@@ -264,7 +264,6 @@ Stmt GenerateStmtFromExternOp(const te::ExternOp& extern_op, CreateFuncInfo* inf
                             /*annotations=*/extern_op->attrs));
 }
 
-/*! \brief Use Tensor Expression to create a schedulable TensorIR func. */
 PrimFunc CreatePrimFunc(const Array<te::Tensor>& arg_list) {
   // Step 1. Create tensor read graph.
   Array<te::Operation> arg_ops;

src/te/operation/create_primfunc.h

@@ -0,0 +1,39 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+#ifndef TVM_TE_OPERATION_CREATE_PRIMFUNC_H_
+#define TVM_TE_OPERATION_CREATE_PRIMFUNC_H_
+
+#include <tvm/runtime/container/array.h>
+#include <tvm/te/tensor.h>
+#include <tvm/tir/function.h>
+
+namespace tvm {
+namespace tir {
+
+/*! \brief Use Tensor Expression to create a schedulable TensorIR func. */
+PrimFunc CreatePrimFunc(const Array<te::Tensor>& arg_list);
+
+/*! \brief Create a schedulable TensorIR func from TE compute outputs. */
+PrimFunc CreatePrimFuncFromOutputs(const Array<te::Tensor>& outputs);
+
+}  // namespace tir
+}  // namespace tvm
+
+#endif  // TVM_TE_OPERATION_CREATE_PRIMFUNC_H_