Mousius commented on a change in pull request #8423:
URL: https://github.com/apache/tvm/pull/8423#discussion_r708565108



##########
File path: src/relay/backend/contrib/example_target_hooks/relay_to_tir.cc
##########
@@ -0,0 +1,131 @@
+
+/*
+ * 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.
+ */
+#include <tvm/relay/expr_functor.h>
+#include <tvm/relay/transform.h>
+#include <tvm/tir/buffer.h>
+#include <tvm/tir/builtin.h>
+#include <tvm/tir/expr.h>
+#include <tvm/tir/function.h>
+#include <tvm/tir/op.h>
+
+namespace tvm {
+namespace relay {
+namespace contrib {
+namespace example_target_hooks {
+
+class ConvertAddToSubtract : public MixedModeMutator {
+ public:
+  explicit ConvertAddToSubtract(IRModule ir_module, Target host_target)
+      : ir_module_(ir_module), host_target_(host_target) {}
+
+  IRModule Mutate() {
+    GlobalVar main_global_var = ir_module_->GetGlobalVar("main");
+    BaseFunc main = ir_module_->Lookup(main_global_var);
+    Function main_func = GetRef<Function>(main.as<FunctionNode>());
+
+    // Copy everything across and mutate the body
+    Function mutated_main =
+        Function(main_func->params, VisitExpr(main_func->body), 
main_func->ret_type,
+                 main_func->type_params, main_func->attrs, main_func->span);
+
+    ir_module_->Update(main_global_var, mutated_main);
+
+    return ir_module_;
+  }
+
+ private:
+  tir::Load LoadIndex(const tir::Buffer& buffer, const PrimExpr& index) {
+    return tir::Load(DataType::Float(32), buffer->data, index, 
tir::const_true());
+  }
+
+  void ReplaceAddWithSubtractPrimFunc(const GlobalVar& new_global_var, const 
Function& func) {
+    tir::Buffer x_buffer = tir::decl_buffer({8}, DataType::Float(32), "x");
+    tir::Buffer y_buffer = tir::decl_buffer({8}, DataType::Float(32), "y");
+    tir::Buffer out_buffer = tir::decl_buffer({8}, DataType::Float(32));
+
+    tir::Var x_var("x", DataType::Handle());
+    tir::Var y_var("y", DataType::Handle());
+    tir::Var out_var("out", DataType::Handle());
+
+    Map<String, ObjectRef> dict_attrs;
+    dict_attrs.Set("global_symbol", new_global_var->name_hint);
+    dict_attrs.Set("tir.noalias", Bool(true));
+
+    te::Var index("index", DataType::Int(32));
+    tir::Sub indexed_sub = tir::Sub(LoadIndex(x_buffer, index), 
LoadIndex(y_buffer, index));
+    tir::Stmt math_body = tir::Store(out_buffer->data, indexed_sub, index, 
tir::const_true());
+    tir::Stmt math_loop = tir::For(index, 0, 8, tir::ForKind::kSerial, 
math_body);
+
+    Map<tir::Var, tir::Buffer> buffer_map = {
+        {x_var, x_buffer},
+        {y_var, y_buffer},
+        {out_var, out_buffer},
+    };
+
+    tir::PrimFunc replacement_func = tir::PrimFunc({x_var, y_var, out_var}, 
math_loop, VoidType(),

Review comment:
       My first thought is the `Pass` infra works well as a composition 
approach where we give a series of tools to the user rather than having them 
extend from specific classes - to incorporate caching I'd change the signature 
to something like `tvm::transform::Pass(const CompileCache& cache)` or similar 
so we can pass the cache between the intermediary passes? 
   
   Splitting the cache from `te_compiler.cc` and factoring it in like that 
seems big enough for a separate PR?




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