support const input in graph_ir convertor, add value inference in Concat

mindspore/ccsrc/transform/graph_ir/convert.cc

@@ -593,9 +593,17 @@ void DfGraphConvertor::TraceOutput(const AnfNodePtr node) {
   AnfNodePtr anf_out = node;
   AnfNodePtr pre_node = nullptr;
 
-  // trace Parameter node
+  // Trace value node
+  if (node->isa<ValueNode>()) {
+    auto op = Convert(anf_out);
+    graph_outputs_.emplace_back(std::make_pair(*op, ""));
+    AddGraphConstInput(op);
+    return;
+  }
+
+  // Trace Parameter node
   TraceOutputFromParameter(anf_out);
-  // then trace cnode
+  // Then trace cnode
   if (!node->isa<CNode>()) {
     return;
   }
@@ -869,7 +877,12 @@ DfGraphConvertor &DfGraphConvertor::BuildGraph() {
     }
   }
 
+  MS_LOG(DEBUG) << "trace output";
+  graph_outputs_.clear();
+  TraceOutput(anf_graph_->get_return()->input(1));
+
   // Add const nodes as graph input for some operator work with constant
+  MS_LOG(INFO) << "graph const input size: " << graph_const_inputs_.size();
   std::transform(graph_const_inputs_.begin(), graph_const_inputs_.end(), std::back_inserter(inputs),
                  [](OperatorPtr x) { return *x; });
 
@@ -879,8 +892,6 @@ DfGraphConvertor &DfGraphConvertor::BuildGraph() {
   // set graph output
   // set the value of finale return apply node as the output of dataflow graph
   MS_LOG(DEBUG) << "set output";
-  graph_outputs_.clear();
-  TraceOutput(anf_graph_->get_return()->input(1));
   MS_LOG(INFO) << "set graph output num: " << graph_outputs_.size();
   (void)df_graph_->SetOutputs(graph_outputs_);
 
@@ -1036,7 +1047,7 @@ void DfGraphConvertor::SetOpInput(const OpAdapterPtr &adpt, const CNodePtr &node
 }
 
 void DfGraphConvertor::AddGraphConstInput(const OperatorPtr &op) {
-  if (op->GetOpType() == "Constant") {
+  if (op->GetOpType() == "Constant" || op->GetOpType() == "Const") {
     graph_const_inputs_.push_back(op);
   }
 }

mindspore/ops/operations/array_ops.py

@@ -1965,10 +1965,13 @@ class Concat(PrimitiveWithInfer):
         self.add_prim_attr('T', x_type[0].element_type())
         self.add_prim_attr('inputNums', len(x_shp))
         ret_shp = x_shp[0].copy()
+        value = None
+        if input_x['value'] is not None:
+            value = Tensor(np.concatenate([x.asnumpy() for x in input_x['value']], axis=axis))
         ret_shp[axis] = all_shp
         out = {'shape': ret_shp,
                'dtype': x_type[0],
-               'value': None}
+               'value': value}
         return out
 
 

tests/ut/cpp/python_input/gtest_input/pre_activate/convert_tuple_input_to_dynamic_input_test.py

@@ -42,13 +42,13 @@ def test_convert_tuple_input_to_dynamic_input(tag):
 
     @fns
     def before(x):
-        res = concat((t1, t2))
+        res = concat((x, x))
         res = add(x, res)
         return res
 
     @fns
     def after(x):
-        res = concat(t1, t2)
+        res = concat(x, x)
         res = add(x, res)
         res = make_tuple(res)
         return res