!1570 Check the size of topk input names before converting input to attr

Merge pull request !1570 from YuJianfeng/r0.3

mindspore/ccsrc/pre_activate/ascend/ir_fission/topk_split.cc

@@ -14,6 +14,7 @@
  * limitations under the License.
  */
 #include "pre_activate/ascend/ir_fission/topk_split.h"
+#include <string>
 #include <vector>
 #include <memory>
 #include <unordered_set>
@@ -102,6 +103,11 @@ const AnfNodePtr TopKSplit::Process(const FuncGraphPtr &func_graph, const AnfNod
   // set value node as topk's input
   auto cnode = node->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(cnode);
+  auto input_names_vec = AnfAlgo::GetNodeAttr<std::vector<std::string>>(cnode, kAttrInputNames);
+  if (input_names_vec.size() < kTopkIndexK + 1) {
+    MS_LOG(INFO) << "The input k of topk has been converted to attr";
+    return nullptr;
+  }
   // Copy a new node to check supported.
   std::vector<AnfNodePtr> new_inputs{NewValueNode(std::make_shared<Primitive>(kTopKOpName))};
   new_inputs.insert(new_inputs.end(), cnode->inputs().begin() + 1, cnode->inputs().end());

tests/ut/cpp/pre_activate/ascend/ir_fission/topk_split_test.cc

@@ -19,6 +19,7 @@
 #include "device/kernel_info.h"
 #include "pre_activate/pass/convert_const_input_to_attr.h"
 #include "debug/anf_ir_dump.h"
+#include "session/anf_runtime_algorithm.h"
 #define private public
 #define protected public
 #include "pre_activate/ascend/ir_fission/topk_split.h"
@@ -32,6 +33,21 @@ class TestHWTopKSplit : public BackendCommon {
   TestHWTopKSplit() : get_py_fun_("gtest_input.pre_activate.topk_split_test", true) {}
   ~TestHWTopKSplit() override = default;
 
+  CNodePtr GetTopkCNodeFromKernelGraph(const FuncGraphPtr &func_graph) {
+    MS_EXCEPTION_IF_NULL(func_graph);
+    auto ret = func_graph->get_return();
+    MS_EXCEPTION_IF_NULL(ret);
+    auto make_tuple = ret->input(1);
+    MS_EXCEPTION_IF_NULL(make_tuple);
+    auto tuple_getitem = make_tuple->cast<CNodePtr>()->input(1);
+    MS_EXCEPTION_IF_NULL(tuple_getitem);
+    auto topk = tuple_getitem->cast<CNodePtr>()->input(1);
+    MS_EXCEPTION_IF_NULL(topk);
+    auto topk_cnode = topk->cast<CNodePtr>();
+    MS_EXCEPTION_IF_NULL(topk_cnode);
+    return topk_cnode;
+  }
+
   UT::PyFuncGraphFetcher get_py_fun_;
 };
 
@@ -39,7 +55,8 @@ class MockSupportedChecker : public SupportedChecker {
  public:
   MockSupportedChecker() = default;
   ~MockSupportedChecker() override = default;
-  bool CheckAiCoreSupported(const AnfNodePtr &anf_node, const kernel::KernelBuildInfoPtr &select_kernel_build_info) override {
+  bool CheckAiCoreSupported(const AnfNodePtr &anf_node,
+                            const kernel::KernelBuildInfoPtr &select_kernel_build_info) override {
     return true;
   }
 };  // namespace opt
@@ -66,14 +83,7 @@ TEST_F(TestHWTopKSplit, test_topk_split) {
   optimizer->AddPassManager(pm);
   FuncGraphPtr new_graph = optimizer->Optimize(kernel_graph);
 
-  auto ret = new_graph->get_return();
-  EXPECT_NE(ret, nullptr);
-  auto make_tuple = ret->input(1);
-  EXPECT_NE(make_tuple, nullptr);
-  auto tuple_getitem = make_tuple->cast<CNodePtr>()->input(1);
-  EXPECT_NE(tuple_getitem, nullptr);
-  auto topk = tuple_getitem->cast<CNodePtr>()->input(1);
-  auto topk_cnode = topk->cast<CNodePtr>();
+  auto topk_cnode = GetTopkCNodeFromKernelGraph(new_graph);
   EXPECT_EQ(topk_cnode->inputs().size(), 3);
   EXPECT_TRUE(topk_cnode->input(2)->isa<ValueNode>());
   auto value_node = topk_cnode->input(2)->cast<ValueNodePtr>();
@@ -82,5 +92,39 @@ TEST_F(TestHWTopKSplit, test_topk_split) {
   EXPECT_EQ(tensor->shape().size(), 1);
   EXPECT_EQ(tensor->shape()[0], 4);
 }
+
+TEST_F(TestHWTopKSplit, test_topk_no_split) {
+  /*
+   * def before(input):
+   *     topk = TopKSplit(input)
+   *     output = tuple_getitem(topk, 0)
+   *     return output
+   */
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_topk_split", "before");
+  std::vector<int> shp{4, 4};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list{x_abstract};
+  auto kernel_graph = GetKernelGraph(g, args_spec_list);
+
+  CNodePtr topk_cnode = GetTopkCNodeFromKernelGraph(kernel_graph);
+  EXPECT_EQ(topk_cnode->inputs().size(), 3);
+  auto input_names_vec = AnfAlgo::GetNodeAttr<std::vector<std::string>>(topk_cnode, kAttrInputNames);
+  EXPECT_EQ(input_names_vec.size(), 2);
+  std::unordered_set<size_t> attr_index{1};
+  ConstInputToAttr(topk_cnode, attr_index);
+  EXPECT_EQ(topk_cnode->inputs().size(), 2);
+  input_names_vec = AnfAlgo::GetNodeAttr<std::vector<std::string>>(topk_cnode, kAttrInputNames);
+  EXPECT_EQ(input_names_vec.size(), 1);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::ConvertConstInputToAttr>());
+  auto topk_split = std::make_shared<opt::TopKSplit>();
+  topk_split->supported_checker_ = std::make_shared<MockSupportedChecker>();
+  pm->AddPass(topk_split);
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(kernel_graph);
+  EXPECT_EQ(topk_cnode, GetTopkCNodeFromKernelGraph(new_graph));
+}
 }  // namespace opt
 }  // namespace mindspore