Rename "pdpd" frontend to "paddle" (openvinotoolkit#6842)

* Rename "pdpd" frontend to "paddle"
Also renamed mo_pdpd.py+main_pdpd.py to mo_paddle.py+main_paddle.py

Class names were not renamed

* Update package_BOM.txt

inference-engine/tests/functional/inference_engine/CMakeLists.txt

@@ -61,7 +61,7 @@ endif()
 
 if(NGRAPH_PDPD_FRONTEND_ENABLE)
     target_compile_definitions(${TARGET_NAME} PRIVATE
-        PDPD_TEST_MODELS="${CMAKE_CURRENT_SOURCE_DIR}/pdpd_reader/models/")
+            PADDLE_TEST_MODELS="${CMAKE_CURRENT_SOURCE_DIR}/paddle_reader/models/")
     add_dependencies(${TARGET_NAME} paddlepaddle_ngraph_frontend)
 endif()
 

inference-engine/tests/functional/inference_engine/pdpd_reader/read_pdpd_model_test.cpp → inference-engine/tests/functional/inference_engine/paddle_reader/read_paddle_model_test.cpp

@@ -15,7 +15,7 @@
 #include "common_test_utils/ngraph_test_utils.hpp"
 
 TEST(PDPD_Reader_Tests, ImportBasicModelToCore) {
-    auto model = std::string(PDPD_TEST_MODELS) + "relu.pdmodel";
+    auto model = std::string(PADDLE_TEST_MODELS) + "relu.pdmodel";
     InferenceEngine::Core ie;
     auto cnnNetwork = ie.ReadNetwork(model);
     auto function = cnnNetwork.getFunction();
@@ -48,7 +48,7 @@ TEST(PDPD_Reader_Tests, ImportBasicModelToCore) {
 
 #if defined(ENABLE_UNICODE_PATH_SUPPORT) && defined(_WIN32)
 TEST(PDPD_Reader_Tests, ImportBasicModelToCoreWstring) {
-    std::string win_dir_path{ PDPD_TEST_MODELS };
+    std::string win_dir_path{ PADDLE_TEST_MODELS };
     std::replace(win_dir_path.begin(), win_dir_path.end(), '/', '\\');
     const std::wstring unicode_win_dir_path = FileUtils::multiByteCharToWString(win_dir_path.c_str());
     auto model = unicode_win_dir_path + L"ひらがな日本語.pdmodel";

model-optimizer/automation/package_BOM.txt

@@ -944,7 +944,7 @@ mo/main_caffe.py
 mo/main_kaldi.py
 mo/main_mxnet.py
 mo/main_onnx.py
-mo/main_pdpd.py
+mo/main_paddle.py
 mo/main_tf.py
 mo/middle/__init__.py
 mo/middle/passes/__init__.py
@@ -1090,6 +1090,7 @@ mo_caffe.py
 mo_kaldi.py
 mo_mxnet.py
 mo_onnx.py
+mo_paddle.py
 mo_tf.py
 requirements.txt
 requirements_caffe.txt

model-optimizer/mo/main_pdpd.py → model-optimizer/mo/main_paddle.py

@@ -11,4 +11,4 @@
 if __name__ == "__main__":
     from mo.main import main
     fem = FrontEndManager()
-    sys.exit(main(get_all_cli_parser(fem), fem, 'pdpd'))
+    sys.exit(main(get_all_cli_parser(fem), fem, 'paddle'))

model-optimizer/mo_pdpd.py → model-optimizer/mo_paddle.py

@@ -5,4 +5,4 @@
 
 if __name__ == "__main__":
     from mo.subprocess_main import subprocess_main
-    subprocess_main(framework='pdpd')
+    subprocess_main(framework='paddle')

ngraph/frontend/paddlepaddle/src/frontend.cpp

@@ -303,7 +303,7 @@ extern "C" PDPD_API FrontEndVersion GetAPIVersion()
 extern "C" PDPD_API void* GetFrontEndData()
 {
     FrontEndPluginInfo* res = new FrontEndPluginInfo();
-    res->m_name = "pdpd";
+    res->m_name = "paddle";
     res->m_creator = []() { return std::make_shared<FrontEndPDPD>(); };
     return res;
 }

ngraph/test/CMakeLists.txt

@@ -572,9 +572,9 @@ if (NGRAPH_PDPD_FRONTEND_ENABLE)
     if(paddlepaddle_FOUND)
         file(GLOB FRONTEND_PDPD_TESTS_SRC ${CMAKE_CURRENT_SOURCE_DIR}/frontend/paddlepaddle/*.cpp)
         set(SRC ${FRONTEND_PDPD_TESTS_SRC} ${SRC})
-        set(PDPD_TEST_MODELS_DIRNAME pdpd_test_models)
-        set(TEST_PDPD_MODELS ${CMAKE_CURRENT_BINARY_DIR}/${PDPD_TEST_MODELS_DIRNAME}/)
-        add_definitions("-DTEST_PDPD_MODELS_DIRNAME=\"${PDPD_TEST_MODELS_DIRNAME}/\"")
+        set(PADDLE_TEST_MODELS_DIRNAME paddle_test_models)
+        set(TEST_PADDLE_MODELS ${CMAKE_CURRENT_BINARY_DIR}/${PADDLE_TEST_MODELS_DIRNAME}/)
+        add_definitions("-DTEST_PADDLE_MODELS_DIRNAME=\"${PADDLE_TEST_MODELS_DIRNAME}/\"")
     endif()
 endif()
 # ---- End PaddlePaddle FrontEnd testing ------
@@ -660,23 +660,23 @@ if (NGRAPH_PDPD_FRONTEND_ENABLE AND paddlepaddle_FOUND)
     set(OUT_FILES "")
     foreach(GEN_SCRIPT ${PDPD_GEN_SCRIPTS})
         get_filename_component(FILE_WE ${GEN_SCRIPT} NAME_WE)
-        set(OUT_DONE_FILE ${TEST_PDPD_MODELS}/${FILE_WE}_done.txt)
+        set(OUT_DONE_FILE ${TEST_PADDLE_MODELS}/${FILE_WE}_done.txt)
         set(OUT_FILES ${OUT_DONE_FILE} ${OUT_FILES})
         add_custom_command(OUTPUT ${OUT_DONE_FILE}
                 COMMAND ${PYTHON_EXECUTABLE}
                         ${CMAKE_CURRENT_SOURCE_DIR}/files/paddlepaddle/gen_wrapper.py
                         ${GEN_SCRIPT}
-                        ${TEST_PDPD_MODELS}
+                        ${TEST_PADDLE_MODELS}
                         ${OUT_DONE_FILE}
                 DEPENDS ${GEN_SCRIPT} ${CMAKE_CURRENT_SOURCE_DIR}/files/paddlepaddle/gen_wrapper.py
                 )
     endforeach()
-    add_custom_target(pdpd_test_models DEPENDS ${OUT_FILES})
-    add_dependencies(unit-test pdpd_test_models)
+    add_custom_target(paddlepaddle_test_models DEPENDS ${OUT_FILES})
+    add_dependencies(unit-test paddlepaddle_test_models)
     add_dependencies(unit-test paddlepaddle_ngraph_frontend)
 
-    install(DIRECTORY ${TEST_PDPD_MODELS}
-            DESTINATION tests/${PDPD_TEST_MODELS_DIRNAME}
+    install(DIRECTORY ${TEST_PADDLE_MODELS}
+            DESTINATION tests/${PADDLE_TEST_MODELS_DIRNAME}
             COMPONENT tests
             EXCLUDE_FROM_ALL)
 endif()

ngraph/test/frontend/paddlepaddle/basic_api.cpp

@@ -3,12 +3,11 @@
 //
 
 #include "basic_api.hpp"
+#include "paddle_utils.hpp"
 
 using namespace ngraph;
 using namespace ngraph::frontend;
 
-static const std::string PDPD = "pdpd";
-
 using PDPDBasicTest = FrontEndBasicTest;
 
 static const std::vector<std::string> models{
@@ -23,7 +22,7 @@ static const std::vector<std::string> models{
 INSTANTIATE_TEST_SUITE_P(
     PDPDBasicTest,
     FrontEndBasicTest,
-    ::testing::Combine(::testing::Values(PDPD),
-                       ::testing::Values(std::string(TEST_PDPD_MODELS_DIRNAME)),
+    ::testing::Combine(::testing::Values(PADDLE_FE),
+                       ::testing::Values(std::string(TEST_PADDLE_MODELS_DIRNAME)),
                        ::testing::ValuesIn(models)),
     FrontEndBasicTest::getTestCaseName);

ngraph/test/frontend/paddlepaddle/cut_specific_model.cpp

@@ -3,19 +3,18 @@
 //
 
 #include "cut_specific_model.hpp"
+#include "paddle_utils.hpp"
 
 using namespace ngraph;
 using namespace ngraph::frontend;
 
-static const auto PDPD = "pdpd";
-
 using PDPDCutTest = FrontEndCutModelTest;
 
 static CutModelParam getTestData_2in_2out()
 {
     CutModelParam res;
-    res.m_frontEndName = PDPD;
-    res.m_modelsPath = std::string(TEST_PDPD_MODELS_DIRNAME);
+    res.m_frontEndName = PADDLE_FE;
+    res.m_modelsPath = std::string(TEST_PADDLE_MODELS_DIRNAME);
     res.m_modelName = "2in_2out/2in_2out.pdmodel";
     res.m_oldInputs = {"inputX1", "inputX2"};
     res.m_newInputs = {"add1.tmp_0"};

ngraph/test/frontend/paddlepaddle/load_from.cpp

@@ -3,19 +3,18 @@
 //
 
 #include "load_from.hpp"
+#include "paddle_utils.hpp"
 
 using namespace ngraph;
 using namespace ngraph::frontend;
 
-static const auto PDPD = "pdpd";
-
 using PDPDCutTest = FrontEndLoadFromTest;
 
 static LoadFromFEParam getTestData()
 {
     LoadFromFEParam res;
-    res.m_frontEndName = PDPD;
-    res.m_modelsPath = std::string(TEST_PDPD_MODELS_DIRNAME);
+    res.m_frontEndName = PADDLE_FE;
+    res.m_modelsPath = std::string(TEST_PADDLE_MODELS_DIRNAME);
     res.m_file = "conv2d";
     res.m_files = {"2in_2out/2in_2out.pdmodel", "2in_2out/2in_2out.pdiparams"};
     res.m_stream = "relu/relu.pdmodel";

ngraph/test/frontend/paddlepaddle/op_fuzzy.cpp

@@ -7,6 +7,7 @@
 #include <cnpy.h>
 #include "ngraph/ngraph.hpp"
 #include "op_fuzzy.hpp"
+#include "paddle_utils.hpp"
 #include "util/engine/test_engines.hpp"
 #include "util/test_control.hpp"
 
@@ -16,7 +17,6 @@ using namespace ngraph;
 using namespace ngraph::frontend;
 using TestEngine = test::IE_CPU_Engine;
 
-static const std::string PDPD = "pdpd";
 using PDPDFuzzyOpTest = FrontEndFuzzyOpTest;
 
 static const std::vector<std::string> models{
@@ -35,7 +35,7 @@ static const std::vector<std::string> models{
 INSTANTIATE_TEST_SUITE_P(
     PDPDFuzzyOpTest,
     FrontEndFuzzyOpTest,
-    ::testing::Combine(::testing::Values(PDPD),
-                       ::testing::Values(std::string(TEST_PDPD_MODELS_DIRNAME)),
+    ::testing::Combine(::testing::Values(PADDLE_FE),
+                       ::testing::Values(std::string(TEST_PADDLE_MODELS_DIRNAME)),
                        ::testing::ValuesIn(models)),
     PDPDFuzzyOpTest::getTestCaseName);

ngraph/test/frontend/paddlepaddle/paddle_utils.hpp

@@ -0,0 +1,9 @@
+// Copyright (C) 2018-2021 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#pragma once
+
+#include <string>
+
+static const std::string PADDLE_FE = "paddle";

ngraph/test/frontend/paddlepaddle/partial_shape.cpp

@@ -3,12 +3,11 @@
 //
 
 #include "partial_shape.hpp"
+#include "paddle_utils.hpp"
 
 using namespace ngraph;
 using namespace ngraph::frontend;
 
-static const auto PDPD = "pdpd";
-
 using PDPDPartialShapeTest = FrontEndPartialShapeTest;
 
 static PartShape getTestShape_2in_2out()
@@ -61,14 +60,14 @@ static PartShape getTestShape_conv2d_relu()
     return res;
 }
 
-INSTANTIATE_TEST_SUITE_P(PDPDPartialShapeTest,
-                         FrontEndPartialShapeTest,
-                         ::testing::Combine(::testing::Values(BaseFEParam{
-                                                PDPD, std::string(TEST_PDPD_MODELS_DIRNAME)}),
-                                            ::testing::ValuesIn(std::vector<PartShape>{
-                                                getTestShape_2in_2out(),
-                                                getTestShape_conv2d_relu(),
-                                                getTestShape_conv2d(),
-                                                getTestShape_conv2d_setDynamicBatch(),
-                                                getTestShape_2in_2out_dynbatch()})),
-                         FrontEndPartialShapeTest::getTestCaseName);
+INSTANTIATE_TEST_SUITE_P(
+    PDPDPartialShapeTest,
+    FrontEndPartialShapeTest,
+    ::testing::Combine(
+        ::testing::Values(BaseFEParam{PADDLE_FE, std::string(TEST_PADDLE_MODELS_DIRNAME)}),
+        ::testing::ValuesIn(std::vector<PartShape>{getTestShape_2in_2out(),
+                                                   getTestShape_conv2d_relu(),
+                                                   getTestShape_conv2d(),
+                                                   getTestShape_conv2d_setDynamicBatch(),
+                                                   getTestShape_2in_2out_dynbatch()})),
+    FrontEndPartialShapeTest::getTestCaseName);

ngraph/test/frontend/paddlepaddle/places.cpp

@@ -4,13 +4,13 @@
 
 #include <frontend/shared/include/utils.hpp>
 #include <frontend_manager/frontend_manager.hpp>
-#include <memory>
 #include "gtest/gtest.h"
+#include "paddle_utils.hpp"
 
 using namespace ngraph::frontend;
 
 const std::string model_file =
-    std::string(TEST_PDPD_MODELS_DIRNAME) + "place_test_model/place_test_model.pdmodel";
+    std::string(TEST_PADDLE_MODELS_DIRNAME) + "place_test_model/place_test_model.pdmodel";
 
 /***
 model:
@@ -57,7 +57,7 @@ TEST(PDPD_Places, check_tensor_names)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     for (const auto& tensor_name : tensor_names)
@@ -71,7 +71,7 @@ TEST(PDPD_Places, check_input_outputs)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     auto inputs = input_model->get_inputs();
@@ -106,7 +106,7 @@ TEST(PDPD_Places, check_out_port_of_all_ops)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     for (const auto& tensor_name : tensor_names)
@@ -129,7 +129,7 @@ TEST(PDPD_Places, check_in_out_ports_of_model_outputs)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     auto outputs = input_model->get_outputs();
@@ -164,7 +164,7 @@ TEST(PDPD_Places, check_source_target_tensors_of_model_outputs)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     auto outputs = input_model->get_outputs();
@@ -199,7 +199,7 @@ TEST(PDPD_Places, check_producing_consuming_ops_of_model_outputs)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     auto outputs = input_model->get_outputs();
@@ -235,7 +235,7 @@ TEST(PDPD_Places, check_data_flow)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     for (const auto& tensor_name : tensor_names)
@@ -276,7 +276,7 @@ TEST(PDPD_Places, check_tensor_to_multiple_ports)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     for (const auto& tensor_name : tensor_names)
@@ -308,7 +308,7 @@ TEST(PDPD_Places, check_consuming_ops)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     for (const auto& tensor_name : tensor_names)
@@ -353,7 +353,7 @@ TEST(PDPD_Places, check_consuming_ops_2)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     auto it = find(tensor_names.begin(), tensor_names.end(), "lstm_0.tmp_2");
@@ -395,7 +395,7 @@ TEST(PDPD_Places, check_producing_ops)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     for (const auto& tensor_name : tensor_names)
@@ -419,7 +419,7 @@ TEST(PDPD_Places, check_input_output_ports_dy_idx)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     std::vector<std::string> output_names = {"save_infer_model/scale_0.tmp_1",
@@ -446,7 +446,7 @@ TEST(PDPD_Places, check_ops_tensors_by_idx)
 {
     FrontEndTestUtils::setupTestEnv();
     auto m_fem = FrontEndManager();
-    auto frontend = m_fem.load_by_framework("pdpd");
+    auto frontend = m_fem.load_by_framework(PADDLE_FE);
     auto input_model = frontend->load(FrontEndTestUtils::make_model_path(model_file));
 
     std::vector<std::string> output_names = {"save_infer_model/scale_0.tmp_1",