feat(imperative): impl hashable for SendRecv and add virtual input for Recv

GitOrigin-RevId: 5e8c27ac81b844bbf8720a108da7ad208060dad2

imperative/src/impl/ops/io_remote.cpp

@@ -46,7 +46,7 @@ cg::OperatorNodeBase* apply_on_var_node_remote_recv(
             ssprintf("%s:%d", recv.addr.data(), recv.port));
     auto&& graph = inputs[0]->owner_graph();
     return graph->insert_opr(std::make_unique<mgb::opr::RemoteRecv>(
-            recv.key, *graph, group_client, OperatorNodeConfig{recv.cn},
+            recv.key, inputs[0], *graph, group_client, OperatorNodeConfig{recv.cn},
             recv.shape, recv.dtype));
 }
 
@@ -60,6 +60,43 @@ OP_TRAIT_REG(RemoteRecv, RemoteRecv, mgb::opr::RemoteRecv)
 }  // anonymous namespace
 #endif // MGB_ENABLE_OPR_MM
 
+bool RemoteSend::is_same_st(const Hashable& another) const{
+    return as_tuple() == another.cast_final<RemoteSend>().as_tuple();
+}
+
+size_t RemoteSend::hash() const{
+    XXHash xxhash;
+    auto append = [&xxhash](auto field){
+        auto hash_val = HashTrait<decltype(field)>::eval(field);
+        xxhash.update(reinterpret_cast<void*>(&hash_val), sizeof(hash_val));
+    };
+    append(key); 
+    append(addr);
+    append(port);
+    append(rank_to);
+    return xxhash.digest();
+}
+
+bool RemoteRecv::is_same_st(const Hashable& another) const{
+    return as_tuple() == another.cast_final<RemoteRecv>().as_tuple();
+}
+
+size_t RemoteRecv::hash() const{
+    XXHash xxhash;
+    auto append = [&xxhash](auto field){
+        auto hash_val = HashTrait<decltype(field)>::eval(field);
+        xxhash.update(reinterpret_cast<void*>(&hash_val), sizeof(hash_val));
+    };
+    append(key); 
+    append(addr);
+    append(port);
+    append(rank_from);
+    append(cn.to_string());
+    append(dtype.handle());
+    append(shape.to_string());
+    return xxhash.digest();
+}
+
 MGB_DYN_TYPE_OBJ_FINAL_IMPL(RemoteSend);
 MGB_DYN_TYPE_OBJ_FINAL_IMPL(RemoteRecv);
 

imperative/src/include/megbrain/imperative/ops/io_remote.h

@@ -31,6 +31,13 @@ public:
     std::string addr;
     uint32_t port;
     uint32_t rank_to;
+
+    size_t hash() const override;
+    bool is_same_st(const Hashable& another) const override;
+
+    auto as_tuple() const{
+        return std::tuple(key, addr, port, rank_to);
+    }
 };
 
 class RemoteRecv : public OpDefImplBase<RemoteRecv> {
@@ -55,6 +62,13 @@ public:
     CompNode cn;
     TensorShape shape;
     DType dtype;
+
+    size_t hash() const override;
+    bool is_same_st(const Hashable& another) const override;
+
+    auto as_tuple() const{
+        return std::tuple(key, addr, port, rank_from, cn, dtype, shape.to_string());
+    }
 };
 
 }  // namespace imperative

src/opr-mm/impl/io_remote.cpp

@@ -151,6 +151,23 @@ RemoteRecv::RemoteRecv(const std::string& key, cg::ComputingGraph& graph,
     add_equivalence_component<ScalarHash<void*>>(this);
 }
 
+RemoteRecv::RemoteRecv(const std::string& key, VarNode* var, cg::ComputingGraph& graph,
+                       std::shared_ptr<GroupClient> group_client,
+                       const OperatorNodeConfig& config,
+                       const TensorShape& shape, DType dtype) :
+        Super(&graph, config, "remote_recv", {}),
+        m_shape(shape), m_dtype(dtype) {
+    m_key = key;
+    m_group_client = group_client;
+
+    add_input({var});
+    add_output(None)
+            ->dtype(dtype)
+            .add_flag(VarNode::Flag::NO_MEM_RECLAIM)
+            .add_flag(VarNode::Flag::DISALLOW_RT_FORCE_DYNAMIC_MEM_ALLOC);
+    add_equivalence_component<ScalarHash<void*>>(this);
+}
+
 SymbolVar RemoteRecv::make(const std::string& key, cg::ComputingGraph& graph,
                            std::shared_ptr<GroupClient> group_client,
                            const OperatorNodeConfig& config,
@@ -160,6 +177,15 @@ SymbolVar RemoteRecv::make(const std::string& key, cg::ComputingGraph& graph,
     return opr->output(0);
 }
 
+SymbolVar RemoteRecv::make(const std::string& key, SymbolVar var, cg::ComputingGraph& graph,
+                           std::shared_ptr<GroupClient> group_client,
+                           const OperatorNodeConfig& config,
+                           const TensorShape& shape, DType dtype) {
+    auto opr = graph.insert_opr(std::make_unique<RemoteRecv>(
+            key, var.node(), graph, group_client, config, shape, dtype));
+    return opr->output(0);
+}
+
 void RemoteRecv::scn_do_execute() {
     if (!m_init) {
         auto&& comp_node = output(0)->comp_node();

src/opr-mm/include/megbrain/opr/io_remote.h

@@ -77,12 +77,23 @@ MGB_DEFINE_OPR_CLASS(RemoteRecv, RemoteIOBase) // {
                    const OperatorNodeConfig& config, const TensorShape& shape,
                    DType dtype);
 
+        RemoteRecv(const std::string& key, VarNode* var, cg::ComputingGraph& graph,
+                   std::shared_ptr<GroupClient> group_client,
+                   const OperatorNodeConfig& config, const TensorShape& shape,
+                   DType dtype);
+
         static SymbolVar make(
                 const std::string& key, cg::ComputingGraph& graph,
                 std::shared_ptr<GroupClient> group_client,
                 const OperatorNodeConfig& config, const TensorShape& shape,
                 DType dtype);
 
+        static SymbolVar make(
+                const std::string& key, SymbolVar var, cg::ComputingGraph& graph,
+                std::shared_ptr<GroupClient> group_client,
+                const OperatorNodeConfig& config, const TensorShape& shape,
+                DType dtype);
+
     private:
         const TensorShape m_shape;
         const DType m_dtype;