remove EXPERIMENTAL_DYNAMIC_PARTITION

tests/ut/ge/CMakeLists.txt

@@ -763,6 +763,7 @@ set(MULTI_PARTS_TEST_FILES
     "graph/preprocess/graph_preprocess_unittest.cc"
     "graph/manager/hcom_util_unittest.cc"
     "graph/manager/graph_caching_allocator_unittest.cc"
+	"graph/partition/dynamic_shape_partition_unittest.cc"
     "session/omg_omg_unittest.cc"
 )
 

tests/ut/ge/graph/partition/dynamic_shape_partition_unittest.cc

@@ -0,0 +1,95 @@
+/**
+ * Copyright 2019-2020 Huawei Technologies Co., Ltd
+ *
+ * Licensed 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.
+ */
+
+#include <gtest/gtest.h>
+#include "graph/partition/dynamic_shape_partition.h"
+#include "compute_graph.h"
+
+#define private public
+#define protected public
+
+namespace ge {
+
+namespace {
+
+GeTensorDescPtr CreateTensorDesc(std::initializer_list<int64_t> shape, Format format = FORMAT_NCHW,
+                                 DataType data_type = DT_FLOAT) {
+  GeShape ge_shape{vector<int64_t>(shape)};
+  GeTensorDescPtr tensor_desc = std::make_shared<GeTensorDesc>();
+  tensor_desc->SetShape(ge_shape);
+  tensor_desc->SetFormat(format);
+  tensor_desc->SetDataType(data_type);
+  return tensor_desc;
+}
+
+class NodeBuilder {
+  public:
+    NodeBuilder(const std::string &name, const std::string &type) { op_desc_ = std::make_shared<OpDesc>(name, type); }
+
+    NodeBuilder &AddInputDesc(std::initializer_list<int64_t> shape = {1, 1, 224, 224}, Format format = FORMAT_NCHW,
+                              DataType data_type = DT_FLOAT) {
+      op_desc_->AddInputDesc(CreateTensorDesc(shape, format, data_type)->Clone());
+      return *this;
+    }
+
+    NodeBuilder &AddOutputDesc(std::initializer_list<int64_t> shape = {1, 1, 224, 224}, Format format = FORMAT_NCHW,
+                               DataType data_type = DT_FLOAT) {
+      op_desc_->AddOutputDesc(CreateTensorDesc(shape, format, data_type)->Clone());
+      return *this;
+    }
+
+    NodeBuilder &AddOutputDesc(GeTensorDescPtr tensor_desc) {
+      op_desc_->AddOutputDesc(tensor_desc->Clone());
+      return *this;
+    }
+
+    NodePtr Build(const ComputeGraphPtr &graph) {
+      NodePtr node = graph->AddNode(op_desc_);
+      return node;
+    }
+
+  private:
+    OpDescPtr op_desc_;
+};
+}  // namespace
+
+class UtestDynamicShapePartition : public testing::Test {
+  protected:
+    void SetUp() {}
+
+    void TearDown() {}
+};
+
+// test Init_EndGraphTaskInfo_failed
+TEST_F(UtestDynamicShapePartition, single_op_scene_success) {
+  ComputeGraphPtr computeGraph("default");
+
+  NodePtr node1 =
+      NodeBuilder("node1", CONSTANTOP).AddInputDesc({1, 1, 224, 224}).AddOutputDesc({1, 1, 224, 224}).Build(graph);
+  NodePtr add_n_node =
+      NodeBuilder("add_n_node", ADDN).AddInputDesc({1, 1, 224, 224}).AddOutputDesc({1, 1, 224, 224}).Build(graph);
+  NodePtr node2 =
+      NodeBuilder("node2", RELU).AddInputDesc({1, 1, 224, 224}).AddOutputDesc({1, 1, 224, 224}).Build(graph);
+  GraphUtils::AddEdge(node1->GetOutDataAnchor(0), add_n_node->GetInDataAnchor(0));
+  GraphUtils::AddEdge(add_n_node->GetOutDataAnchor(0), node2->GetInDataAnchor(0));
+
+  (void)AttrUtils::SetBool(add_n_node->GetOpDesc(), ATTR_SINGLE_OP_SCENE, true);
+
+  DynamicShapePartitioner partitioner(computeGraph);
+  EXPECT_EQ(partitioner.Partition(), SUCCESS);
+}
+
+} // namespace ge