lhutton1 commented on a change in pull request #5915:
URL: https://github.com/apache/incubator-tvm/pull/5915#discussion_r457986197



##########
File path: src/relay/backend/contrib/arm_compute_lib/codegen.cc
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@@ -0,0 +1,220 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file src/relay/backend/contrib/arm_compute_lib/codegen.cc
+ * \brief Implementation of the Relay -> ACL JSON serializer.
+ */
+#include <tvm/ir/module.h>
+#include <tvm/relay/attrs/nn.h>
+#include <tvm/relay/type.h>
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "../../utils.h"
+#include "../codegen_json/codegen_json.h"
+
+namespace tvm {
+namespace relay {
+namespace contrib {
+
+/*!
+ * \brief Generates an ACLModule from a relay expression. This "compilation"
+ * does not require ACL since the actual conversion using ACL APIs is
+ * deferred until creation of the runtime. This step simply serializes the
+ * relay program into a JSON string.
+ */
+class ACLJSONSerializer : public backend::contrib::JSONSerializer {
+  using JSONGraphNode = tvm::runtime::json::JSONGraphNode;
+  using JSONGraphNodeEntry = tvm::runtime::json::JSONGraphNodeEntry;
+
+ public:
+  ACLJSONSerializer(const std::string& symbol, const Expr& expr) : 
JSONSerializer(symbol, expr) {}
+
+  /*!
+   * \brief Visit call nodes and generate appropriate JSON node.
+   *
+   * \param cn The current call node.
+   * \return A list of graph entry nodes.
+   */
+  std::vector<JSONGraphNodeEntry> VisitExpr_(const CallNode* cn) override {
+    if (cn->op.as<OpNode>()) {
+      return JSONSerializer::VisitExpr_(cn);
+    }
+    if (!cn->op.as<FunctionNode>()) {
+      LOG(FATAL) << "Arm Compute Library JSON runtime does not support calls 
to "
+                 << cn->op->GetTypeKey();
+    }
+    auto fn = cn->op.as<FunctionNode>();
+    auto comp = fn->GetAttr<String>(attr::kComposite);
+    CHECK(comp.defined()) << "Arm Compute Library JSON runtime only supports 
composite functions.";
+    const std::string name = comp.value();
+    std::shared_ptr<JSONGraphNode> json_node;
+    if (name == "arm_compute_lib.conv2d") {
+      json_node = CreateCompositeConvJSONNode(cn);
+    } else {
+      LOG(FATAL) << "Unrecognized Arm Compute Library pattern: " << name;
+    }
+    return AddNode(json_node, GetRef<Expr>(cn));
+  }
+
+ private:
+  /*!
+   * \brief Create a JSON representation of a composite convolution.
+   *
+   * \param call The call to be represented.
+   * \return A JSON representation of a specific operator.
+   */
+  std::shared_ptr<JSONGraphNode> CreateCompositeConvJSONNode(const CallNode* 
cn) {
+    const std::string name = "nn.conv2d";
+    const CallNode* pad = nullptr;
+    const CallNode* conv;

Review comment:
       My intention here was to express that conv should always be initialized, 
whilst pad and bias are optional. Happy to change it though.




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