!4039 add ut for 21 tflite op parsers

Merge pull request !4039 from wangzhe/master

mindspore/lite/test/CMakeLists.txt

@@ -191,8 +191,12 @@ if (SUPPORT_GPU)
 endif()
 ### converter
 if(BUILD_CONVERTER)
+    file(GLOB_RECURSE TEST_CASE_TFLITE_PARSERS_SRC
+            ${TEST_DIR}/ut/tools/converter/parser/tflite/*.cc
+            )
     set(TEST_LITE_SRC
             ${TEST_LITE_SRC}
+            ${TEST_CASE_TFLITE_PARSERS_SRC}
             ${TOP_DIR}/mindspore/core/utils/flags.cc
             ${LITE_DIR}/tools/converter/optimizer.cc
             ${LITE_DIR}/src/common/anf_importer/anf_importer.cc

mindspore/lite/test/run_test.sh

@@ -7,6 +7,7 @@ mkdir -pv ${CUR_DIR}/do_test
 cd ${CUR_DIR}/do_test
 cp ${BUILD_DIR}/test/lite-test ./
 cp -r ${CUR_DIR}/ut/src/runtime/kernel/arm/test_data/* ./
+cp -r ${CUR_DIR}/ut/tools/converter/parser/tflite/test_data/* ./
 ## prepare data for dataset
 TEST_DATA_DIR=${CUR_DIR}/../../../tests/ut/data/dataset/
 cp -fr $TEST_DATA_DIR/testPK ./data
@@ -14,6 +15,8 @@ cp -fr $TEST_DATA_DIR/testPK ./data
 ./lite-test --gtest_filter="*MindDataTestTensorDE*"
 ./lite-test --gtest_filter="*MindDataTestEager*"
 
+./lite-test --gtest_filter="TestTfliteParser*"
+
 ./lite-test --gtest_filter="*TestHebing*"
 
 ./lite-test --gtest_filter=TestFcFp32*

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_abs_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserAbs : public TestTfliteParser {
+ public:
+  TestTfliteParserAbs() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./abs.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserAbs, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Abs) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_batch_to_space_nd_parser_test.cc

@@ -0,0 +1,45 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserBatchToSpaceNd : public TestTfliteParser {
+ public:
+  TestTfliteParserBatchToSpaceNd() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./batch_to_space_nd.tflite"); }
+};
+
+TEST_F(TestTfliteParserBatchToSpaceNd, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_BatchToSpace) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserBatchToSpaceNd, AttrValue) {
+  const std::vector<int> blockShape{2, 2};
+  const std::vector<int> crops{0, 0, 2, 0};
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsBatchToSpace(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsBatchToSpace()->blockShape, blockShape);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsBatchToSpace()->crops, crops);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_cos_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserCos : public TestTfliteParser {
+ public:
+  TestTfliteParserCos() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./cos.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserCos, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Cos) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_exp_parser_test.cc

@@ -13,31 +13,22 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
+#include "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
 #include <iostream>
-#include "mindspore/core/utils/log_adapter.h"
 #include "common/common_test.h"
-#include "tools/converter/converter_flags.h"
-#include "schema/inner/model_generated.h"
-#include "tools/converter/parser/tflite/tflite_converter.h"
-#include "tools/converter/parser/tflite/tflite_exp_parser.h"
-#include "src/kernel_registry.h"
-#include "src/lite_kernel.h"
 
 namespace mindspore {
-
-class TestTfliteExpParser : public mindspore::Common {
+class TestTfliteParserExp : public TestTfliteParser {
  public:
-  TestTfliteExpParser() {}
+  TestTfliteParserExp() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./exp.tflite", ""); }
 };
 
-TEST_F(TestTfliteExpParser, ExpParser) {
-  lite::converter::Flags flags;
-  flags.modelFile = "./test_data/Exp.tflite";
-  flags.fmk = lite::converter::FmkType_TFLITE;
-  lite::TfliteConverter converter;
-  schema::MetaGraphT *fb_graph = nullptr;
-  fb_graph = converter.Convert(&flags);
-  const auto &nodes = fb_graph->nodes;
-  nodes.back();
+TEST_F(TestTfliteParserExp, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Exp) << "wrong Op Type";
 }
+
 }  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_log_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserLog : public TestTfliteParser {
+ public:
+  TestTfliteParserLog() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./log.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserLog, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Log) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_logical_and_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteLogicalParserAnd : public TestTfliteParser {
+ public:
+  TestTfliteLogicalParserAnd() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./logical_and.tflite", ""); }
+};
+
+TEST_F(TestTfliteLogicalParserAnd, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_LogicalAnd) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_logical_not_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserLogicalNot : public TestTfliteParser {
+ public:
+  TestTfliteParserLogicalNot() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./logical_not.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserLogicalNot, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_LogicalNot) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_logical_or_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserLogicalOr : public TestTfliteParser {
+ public:
+  TestTfliteParserLogicalOr() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./logical_or.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserLogicalOr, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_LogicalOr) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_maximum_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserMaximum : public TestTfliteParser {
+ public:
+  TestTfliteParserMaximum() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./maximum.tflite"); }
+};
+
+TEST_F(TestTfliteParserMaximum, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Maximum) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_minimum_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserMinimum : public TestTfliteParser {
+ public:
+  TestTfliteParserMinimum() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./minimum.tflite"); }
+};
+
+TEST_F(TestTfliteParserMinimum, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Minimum) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_one_hot_parser_test.cc

@@ -0,0 +1,43 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserOneHot : public TestTfliteParser {
+ public:
+  TestTfliteParserOneHot() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./one_hot.tflite"); }
+};
+
+TEST_F(TestTfliteParserOneHot, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_OneHot) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserOneHot, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsOneHot(), nullptr);
+  // in OneHot parser axis = axis > 0 ? axis : axis + tensor_shape.size()
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsOneHot()->axis, 2);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_parsers_test_utils.cc

@@ -0,0 +1,33 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <string>
+#include "schema/inner/model_generated.h"
+#include "tools/converter/parser/tflite/tflite_model_parser.h"
+
+namespace mindspore {
+
+schema::MetaGraphT *TestTfliteParser::LoadAndConvert(const string &model_path, const string &weight_path) {
+  schema::MetaGraphT *meta_graph = nullptr;
+  lite::TfliteModelParser parser;
+  meta_graph = parser.Parse(model_path, weight_path);
+  return meta_graph;
+}
+
+void TestTfliteParser::TearDown() { free(meta_graph); }
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h

@@ -0,0 +1,35 @@
+/**
+ * Copyright 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.
+ */
+
+#ifndef MINDSPORE_LITE_TEST_UT_TOOLS_CONVERTER_PARSER_TFLITE_TFLITE_PARSERS_TEST_H_
+#define MINDSPORE_LITE_TEST_UT_TOOLS_CONVERTER_PARSER_TFLITE_TFLITE_PARSERS_TEST_H_
+
+#include <string>
+#include "common/common_test.h"
+#include "schema/inner/model_generated.h"
+
+namespace mindspore {
+class TestTfliteParser : public Common {
+ public:
+  TestTfliteParser() {}
+  void TearDown() override;
+  schema::MetaGraphT *LoadAndConvert(const std::string &model_path, const std::string &weight_path = "");
+  schema::MetaGraphT *meta_graph;
+};
+
+}  // namespace mindspore
+
+#endif  // MINDSPORE_LITE_TEST_UT_TOOLS_CONVERTER_PARSER_TFLITE_TFLITE_PARSERS_TEST_H_

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_reduce_max_parser_test.cc

@@ -0,0 +1,46 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserReduceMax : public TestTfliteParser {
+ public:
+  TestTfliteParserReduceMax() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./reduce_max.tflite"); }
+};
+
+TEST_F(TestTfliteParserReduceMax, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Reduce) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserReduceMax, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsReduce(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->mode, schema::ReduceMode_ReduceMax)
+    << "wrong reduce mode";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->keepDims, false);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes.size(), 1);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes[0], 2);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_reduce_min_parser_test.cc

@@ -0,0 +1,46 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserReduceMin : public TestTfliteParser {
+ public:
+  TestTfliteParserReduceMin() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./reduce_min.tflite"); }
+};
+
+TEST_F(TestTfliteParserReduceMin, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Reduce) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserReduceMin, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsReduce(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->mode, schema::ReduceMode_ReduceMin)
+    << "wrong reduce mode";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->keepDims, false);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes.size(), 1);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes[0], 2);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_reduce_prod_parser_test.cc

@@ -0,0 +1,46 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserReduceProd : public TestTfliteParser {
+ public:
+  TestTfliteParserReduceProd() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./reduce_prod.tflite"); }
+};
+
+TEST_F(TestTfliteParserReduceProd, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Reduce) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserReduceProd, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsReduce(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->mode, schema::ReduceMode_ReduceProd)
+    << "wrong reduce mode";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->keepDims, false);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes.size(), 1);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes[0], 2);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_rsqrt_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserRsqrt : public TestTfliteParser {
+ public:
+  TestTfliteParserRsqrt() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./rsqrt.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserRsqrt, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Rsqrt) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_sin_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserSin : public TestTfliteParser {
+ public:
+  TestTfliteParserSin() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./sin.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserSin, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Sin) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_split_parser_test.cc

@@ -0,0 +1,46 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserSplit : public TestTfliteParser {
+ public:
+  TestTfliteParserSplit() {}
+
+  void SetUp() override { meta_graph = LoadAndConvert("./split.tflite"); }
+};
+
+TEST_F(TestTfliteParserSplit, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Split) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserSplit, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsSplit(), nullptr);
+  const std::vector<int> sizeSplits{2, 2};
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsSplit()->splitDim, 2);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsSplit()->numberSplit, 2);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsSplit()->sizeSplits, sizeSplits);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_split_v_parser_test.cc

@@ -0,0 +1,46 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserSplitV : public TestTfliteParser {
+ public:
+  TestTfliteParserSplitV() {}
+
+  void SetUp() override { meta_graph = LoadAndConvert("./split_v.tflite"); }
+};
+
+TEST_F(TestTfliteParserSplitV, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Split) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserSplitV, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsSplit(), nullptr);
+  const std::vector<int> sizeSplits{1, 3};
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsSplit()->splitDim, 0);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsSplit()->numberSplit, 2);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsSplit()->sizeSplits, sizeSplits);
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_sqrt_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserSqrt : public TestTfliteParser {
+ public:
+  TestTfliteParserSqrt() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./sqrt.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserSqrt, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Sqrt) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_square_parser_test.cc

@@ -0,0 +1,34 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserSquare : public TestTfliteParser {
+ public:
+  TestTfliteParserSquare() {}
+  void SetUp() override { meta_graph = LoadAndConvert("./square.tflite", ""); }
+};
+
+TEST_F(TestTfliteParserSquare, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Square) << "wrong Op Type";
+}
+
+}  // namespace mindspore

mindspore/lite/test/ut/tools/converter/parser/tflite/tflite_sum_parser_test.cc

@@ -0,0 +1,47 @@
+/**
+ * Copyright 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 "ut/tools/converter/parser/tflite/tflite_parsers_test_utils.h"
+#include <iostream>
+#include "common/common_test.h"
+
+namespace mindspore {
+class TestTfliteParserSum : public TestTfliteParser {
+ public:
+  TestTfliteParserSum() {}
+
+  void SetUp() override { meta_graph = LoadAndConvert("./sum.tflite"); }
+};
+
+TEST_F(TestTfliteParserSum, OpType) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.type, schema::PrimitiveType_Reduce) << "wrong Op Type";
+}
+
+TEST_F(TestTfliteParserSum, AttrValue) {
+  ASSERT_NE(meta_graph, nullptr);
+  ASSERT_GT(meta_graph->nodes.size(), 0);
+  ASSERT_NE(meta_graph->nodes.front()->primitive.get(), nullptr);
+  ASSERT_NE(meta_graph->nodes.front()->primitive->value.AsReduce(), nullptr);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->mode, schema::ReduceMode_ReduceSum)
+    << "wrong reduce mode";
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->keepDims, false);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes.size(), 1);
+  ASSERT_EQ(meta_graph->nodes.front()->primitive->value.AsReduce()->axes[0], 2);
+}
+
+}  // namespace mindspore

mindspore/lite/tools/converter/parser/tflite/tflite_batch_to_sapce_nd_parser.cc

@@ -24,12 +24,13 @@ STATUS TfliteBatchToSpaceNDParser::Parse(const std::unique_ptr<tflite::OperatorT
                                          const std::vector<std::unique_ptr<tflite::TensorT>> &tfliteTensors,
                                          const std::vector<std::unique_ptr<tflite::BufferT>> &tfliteModelBuffer,
                                          const std::vector<std::unique_ptr<tflite::OperatorCodeT>> &tfliteOpSet,
-                                         schema::CNodeT *op,
-                                         TensorCache *tensor_cache,
-                                         bool quantizedModel) {
+                                         schema::CNodeT *op, TensorCache *tensor_cache, bool quantizedModel) {
   MS_LOG(INFO) << "parse TfliteBatchToSpaceNDParser";
   std::unique_ptr<schema::BatchToSpaceT> attr(new schema::BatchToSpaceT());
 
+  // in tflite
+  // blockShape should be a 1D tensor with dimension [spatial_dims_num]
+  // crops should be a 2D tensor with dimension [spatial_dims_num, 2]
   if (GetTfliteData(tfliteOp->inputs[1], tfliteTensors, tfliteModelBuffer, attr->blockShape)) {
     MS_LOG(ERROR) << "BatchToSpaceNd get blockShape attr failed";
     return RET_ERROR;

mindspore/lite/tools/converter/parser/tflite/tflite_one_hot_parser.cc

@@ -32,8 +32,12 @@ STATUS TfliteOneHotParser::Parse(const std::unique_ptr<tflite::OperatorT> &tflit
     MS_LOG(ERROR) << "get op: " << op->name << " attr failed";
     return RET_NULL_PTR;
   }
-
-  attr->axis = tflite_attr->axis;
+  auto axis = tflite_attr->axis;
+  const auto tensor_shape = tfliteTensors[tfliteOp->inputs[0]].get()->shape;
+  if (axis < 0) {
+    axis += tensor_shape.size();
+  }
+  attr->axis = axis;
 
   if (op != nullptr) {
     op->primitive = std::make_unique<schema::PrimitiveT>();

mindspore/lite/tools/converter/parser/tflite/tflite_scatter_nd_parser.cc

@@ -39,6 +39,8 @@ STATUS TfliteScatterNdParser::Parse(const std::unique_ptr<tflite::OperatorT> &tf
     MS_LOG(DEBUG) << i;
   }
    */
+  // in tflite, kIndices = 0, kUpdates = 1, kShape = 2
+  // in mslite, kScatterShapeIndex = 0, kScatterIndicesIndex = 1, kScatterUpdateIndex = 2;
   std::swap(op->inputIndex[0], op->inputIndex[2]);
   std::swap(op->inputIndex[1], op->inputIndex[2]);
   /*

mindspore/lite/tools/converter/parser/tflite/tflite_split_parser.cc

@@ -54,7 +54,7 @@ STATUS TfliteSplitParser::Parse(const std::unique_ptr<tflite::OperatorT> &tflite
   }
   attr->numberSplit = num_splits;
 
-  for (int i = 0; i <= num_splits; i++) {
+  for (int i = 0; i < num_splits; i++) {
     attr->sizeSplits.push_back(tensor_shape[axis] / num_splits);
   }