[NODE] Move op inside node attribute (apache#30)

Author: tqchen

nnvm/example/src/operator.cc

@@ -46,7 +46,7 @@ inline NodeEntry MakeNode(const char* op_name,
                           std::string node_name,
                           std::vector<NodeEntry> inputs) {
   NodePtr p = Node::Create();
-  p->op = nnvm::Op::Get(op_name);
+  p->attrs.op = nnvm::Op::Get(op_name);
   p->attrs.name = std::move(node_name);
   p->inputs = std::move(inputs);
   return NodeEntry{p, 0, 0};

nnvm/include/nnvm/node.h

@@ -46,6 +46,11 @@ struct NodeEntry {
  *  Usually are additional parameters like axis,
  */
 struct NodeAttrs {
+  /*!
+   * \brief The operator this node uses.
+   *  For place holder variable, op == nullptr.
+   */
+  const Op *op{nullptr};
   /*! \brief name of the node */
   std::string name;
   /*! \brief Vector representation of positional attributes */
@@ -65,22 +70,19 @@ struct NodeAttrs {
  */
 class Node {
  public:
-  /*!
-   * \brief The operator this node uses.
-   *  For place holder variable, op == nullptr.
-   */
-  const Op *op{nullptr};
+  /*! \brief The attributes in the node. */
+  NodeAttrs attrs;
   /*! \brief inputs to this node */
   std::vector<NodeEntry> inputs;
   /*!
    * \brief Optional control flow dependencies
    *  Gives operation must be performed before this operation.
    */
   std::vector<NodePtr> control_deps;
-  /*! \brief The attributes in the node. */
-  NodeAttrs attrs;
   /*! \brief destructor of node */
   ~Node();
+  /*! \return operator in this node */
+  inline const Op* op() const;
   /*!
    * \brief return whether node is placeholder variable.
    *  This is equivalent to op == nullptr
@@ -99,25 +101,28 @@ class Node {
 };
 
 // implementation of functions.
+inline const Op* Node::op() const {
+  return this->attrs.op;
+}
 inline bool Node::is_variable() const {
-  return this->op == nullptr;
+  return this->op() == nullptr;
 }
 
 inline uint32_t Node::num_outputs() const {
   if (is_variable()) return 1;
-  if (this->op->get_num_outputs == nullptr) {
-    return this->op->num_outputs;
+  if (this->op()->get_num_outputs == nullptr) {
+    return this->op()->num_outputs;
   } else {
-    return this->op->get_num_outputs(this->attrs);
+    return this->op()->get_num_outputs(this->attrs);
   }
 }
 
 inline uint32_t Node::num_inputs() const {
   if (is_variable()) return 1;
-  if (this->op->get_num_inputs == nullptr) {
-    return this->op->num_inputs;
+  if (this->op()->get_num_inputs == nullptr) {
+    return this->op()->num_inputs;
   } else {
-    return this->op->get_num_inputs(this->attrs);
+    return this->op()->get_num_inputs(this->attrs);
   }
 }
 

nnvm/include/nnvm/pass_functions.h

@@ -12,6 +12,7 @@
 
 #include <string>
 #include <memory>
+#include <vector>
 #include "./base.h"
 #include "./pass.h"
 #include "./graph_attr_types.h"

nnvm/src/core/graph.cc

@@ -66,9 +66,9 @@ IndexedGraph::IndexedGraph(const Graph &g) {
   for (size_t nid = 0; nid < nodes_.size(); ++nid) {
     nodes_[nid].inputs = array_view<NodeEntry>(
         iptr + inputs_rptr[nid], iptr + inputs_rptr[nid + 1]);
-    if (nodes_[nid].source->op != nullptr &&
-        fmutate_inputs.count(nodes_[nid].source->op)) {
-      for (uint32_t i : fmutate_inputs[nodes_[nid].source->op](nodes_[nid].source->attrs)) {
+    if (nodes_[nid].source->op() != nullptr &&
+        fmutate_inputs.count(nodes_[nid].source->op())) {
+      for (uint32_t i : fmutate_inputs[nodes_[nid].source->op()](nodes_[nid].source->attrs)) {
         mutable_input_nodes_.insert(nodes_[nid].inputs[i].node_id);
       }
     }

nnvm/src/core/symbolic.cc

@@ -20,7 +20,7 @@ struct VariableParam {
 
 NodePtr CreateVariableNode(const std::string& name) {
   NodePtr n = Node::Create();
-  n->op = nullptr;
+  n->attrs.op = nullptr;
   n->attrs.name = name;
   n->attrs.parsed = VariableParam();
   return n;
@@ -37,8 +37,8 @@ inline void UpdateNodeVersion(Node *n) {
       e.version = nnvm::get<VariableParam>(e.node->attrs.parsed).version;
     }
   }
-  if (fmutate_inputs.count(n->op) != 0) {
-    for (uint32_t i : fmutate_inputs[n->op](n->attrs)) {
+  if (fmutate_inputs.count(n->op()) != 0) {
+    for (uint32_t i : fmutate_inputs[n->op()](n->attrs)) {
       NodeEntry& e = n->inputs[i];
       CHECK(e.node->is_variable())
           << "Mutation target can only be Variable";
@@ -96,7 +96,6 @@ Symbol Symbol::Copy() const {
   // use DFSVisit to copy all the nodes
   DFSVisit(this->outputs, [&old_new](const NodePtr& node) {
       NodePtr np = Node::Create();
-      np->op = node->op;
       np->attrs = node->attrs;
       old_new[node.get()] = std::move(np);
     });
@@ -123,7 +122,7 @@ void Symbol::Print(std::ostream &os) const {
     if (outputs[0].node->is_variable()) {
       os << "Variable:" << outputs[0].node->attrs.name << '\n';
     } else {
-      os << "AtomicFunctor "<< " Op:" << outputs[0].node->op->name << '\n';
+      os << "AtomicFunctor "<< " Op:" << outputs[0].node->op()->name << '\n';
     }
   } else {
     // use DFSVisit to copy all the nodes
@@ -137,7 +136,7 @@ void Symbol::Print(std::ostream &os) const {
           os << "Variable:" << node->attrs.name << '\n';
         } else {
           os << "--------------------\n";
-          os << "Op:" << node->op->name << ", Name=" << node->attrs.name << '\n'
+          os << "Op:" << node->op()->name << ", Name=" << node->attrs.name << '\n'
              << "Inputs:\n";
           for (size_t i = 0; i < node->inputs.size(); ++i) {
             const NodeEntry& e = node->inputs[i];
@@ -196,8 +195,8 @@ std::vector<std::string> Symbol::ListInputNames(ListInputOption option) const {
     DFSVisit(this->outputs, [&ret, &mutable_set, &vlist](const NodePtr &node) {
         if (node->is_variable()) {
           vlist.push_back(node.get());
-        } else if (fmutate_inputs.count(node->op)) {
-          for (uint32_t i : fmutate_inputs[node->op](node->attrs)){
+        } else if (fmutate_inputs.count(node->op())) {
+          for (uint32_t i : fmutate_inputs[node->op()](node->attrs)){
             mutable_set.insert(node->inputs[i].node.get());
           }
         }
@@ -221,7 +220,7 @@ std::vector<std::string> Symbol::ListOutputNames() const {
     } else {
       const std::string& hname = head.node->attrs.name;
       std::string rname;
-      FListOutputNames fn = flist_ouputs.get(head.node->op, nullptr);
+      FListOutputNames fn = flist_ouputs.get(head.node->op(), nullptr);
       if (fn != nullptr) {
         rname = fn(head.node->attrs)[head.index];
       } else {
@@ -278,10 +277,10 @@ void Symbol::Compose(const array_view<const Symbol*>& args,
       }
       // switch to keyword argument matching
       if (args.size() != n_req) {
-        FListInputNames fn = flist_inputs.get(n->op, nullptr);
+        FListInputNames fn = flist_inputs.get(n->op(), nullptr);
         auto arg_names = (fn == nullptr) ? std::vector<std::string>{"data"} : fn(n->attrs);
         if (arg_names.size() != n_req) {
-          LOG(FATAL) << "Not enough argument to call operator " << outputs[0].node->op->name;
+          LOG(FATAL) << "Not enough argument to call operator " << outputs[0].node->op()->name;
         }
         size_t nmatched = 0;
         for (size_t i = args.size(); i < n_req; ++i) {
@@ -422,8 +421,8 @@ void Symbol::SetAttrs(const std::vector<std::pair<std::string, std::string> >& a
       node->attrs.dict[kv.first] = kv.second;
     }
   }
-  if (node->op != nullptr && node->op->attr_parser != nullptr) {
-    node->op->attr_parser(&(node->attrs));
+  if (node->op() != nullptr && node->op()->attr_parser != nullptr) {
+    node->op()->attr_parser(&(node->attrs));
   }
 }
 
@@ -461,10 +460,10 @@ Symbol Symbol::CreateFunctor(const Op* op,
                              std::unordered_map<std::string, std::string> attrs) {
   Symbol s;
   NodePtr n = Node::Create();
-  n->op = op;
+  n->attrs.op = op;
   n->attrs.dict = std::move(attrs);
-  if (n->op->attr_parser != nullptr) {
-    n->op->attr_parser(&(n->attrs));
+  if (n->op()->attr_parser != nullptr) {
+    n->op()->attr_parser(&(n->attrs));
   }
   s.outputs.emplace_back(NodeEntry{std::move(n), 0, 0});
   return s;

nnvm/src/pass/gradient.cc

@@ -20,11 +20,11 @@ NodeEntry DefaultAggregateGradient(std::vector<NodeEntry>&& v) {
     return std::move(v[0]);
   } else if (v.size() == 0) {
     NodePtr zero_node = Node::Create();
-    zero_node->op = Op::Get("__zero__");
+    zero_node->attrs.op = Op::Get("__zero__");
     return NodeEntry{zero_node, 0, 0};
   } else {
     NodePtr sum_node = Node::Create();
-    sum_node->op = Op::Get("__ewise_sum__");
+    sum_node->attrs.op = Op::Get("__ewise_sum__");
     sum_node->inputs = std::move(v);
     return NodeEntry{sum_node, 0, 0};
   }
@@ -109,7 +109,7 @@ Graph Gradient(Graph src) {
       e.sum = agg_fun(std::move(e.grads));
       out_agg_grads.push_back(e.sum);
     }
-    std::vector<NodeEntry> input_grads = grad_fun_map[ptr->op]
+    std::vector<NodeEntry> input_grads = grad_fun_map[ptr->op()]
         (mirror_map.size() == 0 ? ptr : mirror_map.at(ptr.get()), out_agg_grads);
     auto git = input_grads.begin();
     for (auto it = (*rit)->inputs.begin(); it != (*rit)->inputs.end(); ++it, ++git) {

nnvm/src/pass/infer_shape_type.cc

@@ -65,7 +65,7 @@ Graph InferAttr(Graph &&ret,
       }
       continue;
     }
-    if (finfer_shape.count(inode.source->op)) {
+    if (finfer_shape.count(inode.source->op())) {
       ishape.resize(num_inputs, def_value);
       for (uint32_t i = 0; i < ishape.size(); ++i) {
         ishape[i] = rshape[idx.entry_id(inode.inputs[i])];
@@ -75,14 +75,14 @@ Graph InferAttr(Graph &&ret,
         oshape[i] = rshape[idx.entry_id(nid, i)];
       }
       num_unknown +=
-          !(finfer_shape[inode.source->op](inode.source->attrs, &ishape, &oshape));
+          !(finfer_shape[inode.source->op()](inode.source->attrs, &ishape, &oshape));
       for (uint32_t i = 0; i < num_inputs; ++i) {
         rshape[idx.entry_id(inode.inputs[i])] = ishape[i];
       }
       for (uint32_t i = 0; i < num_outputs; ++i) {
         rshape[idx.entry_id(nid, i)] = oshape[i];
       }
-    } else if (is_backward.get(inode.source->op, false)) {
+    } else if (is_backward.get(inode.source->op(), false)) {
       // backward operator inference.
       CHECK_GE(inode.control_deps.size(), 1)
           << "BackwardOp need to have control_deps to its forward op";

nnvm/src/pass/order_mutation.cc

@@ -43,8 +43,8 @@ Graph OrderMutation(const Graph& src) {
   auto prepare = [&version_hist, &old_new] (const NodePtr& n) {
     static auto& fmutate_inputs = Op::GetAttr<FMutateInputs>("FMutateInputs");
     std::vector<uint32_t> mutate_inputs;
-    if (!n->is_variable() && fmutate_inputs.count(n->op)) {
-      mutate_inputs = fmutate_inputs[n->op](n->attrs);
+    if (!n->is_variable() && fmutate_inputs.count(n->op())) {
+      mutate_inputs = fmutate_inputs[n->op()](n->attrs);
     }
     std::sort(mutate_inputs.begin(), mutate_inputs.end());
 
@@ -67,7 +67,6 @@ Graph OrderMutation(const Graph& src) {
     }
     if (need_repl) {
       NodePtr np = Node::Create();
-      np->op = n->op;
       np->attrs = n->attrs;
       old_new[n.get()] = std::move(np);
     }
@@ -101,8 +100,8 @@ Graph OrderMutation(const Graph& src) {
     // add control deps
     static auto& fmutate_inputs = Op::GetAttr<FMutateInputs>("FMutateInputs");
     std::vector<uint32_t> mutate_inputs;
-    if (fmutate_inputs.count(kv.first->op)) {
-      mutate_inputs = fmutate_inputs[kv.first->op](kv.first->attrs);
+    if (fmutate_inputs.count(kv.first->op())) {
+      mutate_inputs = fmutate_inputs[kv.first->op()](kv.first->attrs);
     }
     std::sort(mutate_inputs.begin(), mutate_inputs.end());
 

nnvm/src/pass/place_device.cc

@@ -109,9 +109,9 @@ Graph PlaceDevice(Graph src) {
                 NodeEntry{it->second, 0, 0});
           } else {
             NodePtr copy_node = Node::Create();
-            copy_node->op = copy_op;
             std::ostringstream os;
             os << inode.source->inputs[i].node->attrs.name << "_" << e.index <<"_copy";
+            copy_node->attrs.op = copy_op;
             copy_node->attrs.name = os.str();
             copy_node->inputs.push_back(inode.source->inputs[i]);
             copy_map[copy_key] = copy_node;

nnvm/src/pass/plan_memory.cc

@@ -168,8 +168,8 @@ Graph PlanMemory(Graph ret) {
     const auto& inode = idx[nid];
     if (inode.source->is_variable()) continue;
     // check inplace option
-    if (finplace_option.count(inode.source->op) != 0) {
-      auto inplace_pairs = finplace_option[inode.source->op](inode.source->attrs);
+    if (finplace_option.count(inode.source->op()) != 0) {
+      auto inplace_pairs = finplace_option[inode.source->op()](inode.source->attrs);
       for (auto& kv : inplace_pairs) {
         uint32_t eid_out = idx.entry_id(nid, kv.second);
         uint32_t eid_in = idx.entry_id(inode.inputs[kv.first]);