static nntrainer::IniSection backbone_valid_external =
nntrainer::IniSection("block1", add_tflite + "| Input_Shape = 1:1:1");
-static nntrainer::IniSection backbone_valid_external_no_shape("block1",
- add_tflite);
-
static int SUCCESS = 0;
static int LOADFAIL = initest::LOAD;
static int COMPFAIL = initest::COMP;
/**
* @brief Ini file unittest with backbone with wrong file
*/
-TEST(nntrainerIniTest, DISABLED_backbone_n_01) {
+TEST(nntrainerIniTest, backbone_n_01) {
ScopedIni s{"backbone_n1", {nw_base_cross, adam, backbone_random}};
nntrainer::NeuralNetwork NN;
/**
* @brief Ini file unittest with backbone with empty backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_n_02) {
+TEST(nntrainerIniTest, backbone_n_02) {
ScopedIni b{"base", {nw_base_cross}};
ScopedIni s{"backbone_n2", {nw_base_cross, adam, backbone_valid}};
nntrainer::NeuralNetwork NN;
/**
* @brief Ini file unittest with backbone with normal backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_03) {
+TEST(nntrainerIniTest, backbone_p_03) {
ScopedIni b{"base", {nw_base_cross, batch_normal}};
ScopedIni s{"backbone_p3", {nw_base_cross, adam, backbone_valid}};
nntrainer::NeuralNetwork NN;
/**
* @brief Ini file unittest with backbone without model parameters
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_04) {
+TEST(nntrainerIniTest, backbone_p_04) {
ScopedIni b{"base", {flatten, conv2d}};
ScopedIni s{"backbone_p4", {nw_base_cross, adam, backbone_valid}};
nntrainer::NeuralNetwork NN;
/**
* @brief Ini file unittest matching model with and without backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_05) {
+TEST(nntrainerIniTest, backbone_p_05) {
/** Create a backbone.ini */
ScopedIni b("base", {nw_base_cross, conv2d});
/**
* @brief Ini file unittest matching model with and without trainable
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_06) {
+TEST(nntrainerIniTest, backbone_p_06) {
ScopedIni b("base", {flatten, conv2d});
ScopedIni s("backbone_p6", {nw_base_cross, adam, backbone_valid});
nntrainer::NeuralNetwork NN;
/**
* @brief Ini file unittest matching model with and without trainable
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_07) {
+TEST(nntrainerIniTest, backbone_p_07) {
ScopedIni b("base", {conv2d});
ScopedIni s("backbone_p7",
{nw_base_cross, adam, backbone_notrain, backbone_train});
/**
* @brief Ini file unittest with backbone with normal backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_n_08) {
+TEST(nntrainerIniTest, backbone_n_08) {
ScopedIni s("backbone_n8", {nw_base_cross, adam, backbone_random_external});
nntrainer::NeuralNetwork NN;
/**
* @brief Ini file unittest with backbone with normal backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_09) {
+TEST(nntrainerIniTest, backbone_p_09) {
ScopedIni s("backbone_p9",
{nw_base_mse + "-batch_size", adam, backbone_valid_external});
nntrainer::NeuralNetwork NN;
#endif
}
-/**
- * @brief Ini file unittest with backbone with normal backbone
- */
-// Enable after sepearet memory assign and initialization of graph
-TEST(nntrainerIniTest, DISABLED_backbone_p_10) {
- ScopedIni s("backbone_p10",
- {nw_base_mse, adam, backbone_valid_external_no_shape});
- nntrainer::NeuralNetwork NN;
-
-#if defined(ENABLE_NNSTREAMER_BACKBONE) || defined(ENABLE_TFLITE_BACKBONE)
- EXPECT_EQ(NN.loadFromConfig(s.getIniName()), ML_ERROR_NONE);
- EXPECT_EQ(NN.compile(), ML_ERROR_INVALID_PARAMETER);
- EXPECT_EQ(NN.initialize(), ML_ERROR_NOT_SUPPORTED);
-#else
- EXPECT_EQ(NN.loadFromConfig(s.getIniName()), ML_ERROR_NOT_SUPPORTED);
-#endif
-}
-
/**
* @brief Ini file unittest with backbone
* @note Input shape is provided in model file
*/
-TEST(nntrainerIniTest, DISABLED_backbone_n_15) {
+TEST(nntrainerIniTest, backbone_n_15) {
ScopedIni base("base", {conv2d, conv2d});
ScopedIni full("backbone_n15_scaled", {nw_base_mse, adam, backbone_valid});
nntrainer::NeuralNetwork NN_scaled, NN_full;
EXPECT_EQ(NN_full.loadFromConfig(full.getIniName()), ML_ERROR_NONE);
- EXPECT_EQ(NN_full.compile(), ML_ERROR_INVALID_PARAMETER);
- EXPECT_EQ(NN_full.initialize(), ML_ERROR_NOT_SUPPORTED);
+ EXPECT_EQ(NN_full.compile(), ML_ERROR_NONE);
+ EXPECT_THROW(NN_full.initialize(), std::invalid_argument);
ScopedIni scaled("backbone_n15_scaled", {nw_base_mse, adam, backbone_scaled});
EXPECT_EQ(NN_scaled.loadFromConfig(scaled.getIniName()), ML_ERROR_NONE);
- EXPECT_EQ(NN_scaled.compile(), ML_ERROR_INVALID_PARAMETER);
- EXPECT_EQ(NN_scaled.initialize(), ML_ERROR_NOT_SUPPORTED);
+ EXPECT_EQ(NN_scaled.compile(), ML_ERROR_NONE);
+ EXPECT_THROW(NN_scaled.initialize(), std::invalid_argument);
}
/**
* @brief Ini file unittest with backbone
* @note Input shape is striped from backbone and not provided in model file
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_17) {
+TEST(nntrainerIniTest, backbone_p_17) {
nntrainer::NeuralNetwork NN_scaled, NN_full;
ScopedIni base("base", {conv2d_shape, conv2d + "input_layers=conv2d_shape"});
* @brief Ini file unittest with backbone
* @note Output layer name not found, epmty backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_n_18) {
+TEST(nntrainerIniTest, backbone_n_18) {
nntrainer::NeuralNetwork NN;
ScopedIni base("base", {input2d, conv2d + "input_layers=inputlayer",
* @brief Ini file unittest with backbone
* @note Input layer name not found, epmty backbone
*/
-TEST(nntrainerIniTest, DISABLED_backbone_n_19) {
+TEST(nntrainerIniTest, backbone_n_19) {
nntrainer::NeuralNetwork NN;
ScopedIni base("base", {input2d, conv2d + "input_layers=inputlayer",
* @brief Ini file unittest with backbone
* @note input and output layer specified are found
*/
-TEST(nntrainerIniTest, DISABLED_backbone_p_20) {
+TEST(nntrainerIniTest, backbone_p_20) {
nntrainer::NeuralNetwork NN;
ScopedIni base("base",
* it should be referred relative to the .ini
*
*/
-TEST(nntrainerIniTest, DISABLED_backbone_relative_to_ini_p) {
+TEST(nntrainerIniTest, backbone_relative_to_ini_p) {
ScopedIni b{getResPath("base"), {nw_base_cross, batch_normal}};
ScopedIni s{getResPath("original"),
{nw_base_cross + "loss=mse", adam, input,
* it should be referred relative to the .ini
*
*/
-TEST(nntrainerIniTest, DISABLED_backbone_from_different_directory_n) {
+TEST(nntrainerIniTest, backbone_from_different_directory_n) {
ScopedIni b{"base", {nw_base_cross, batch_normal}};
ScopedIni s{getResPath("original"),
{nw_base_cross + "loss=mse", adam, input,
* it should be referred relative to the .ini
*
*/
-TEST(nntrainerIniTest, DISABLED_backbone_based_on_working_directory_p) {
+TEST(nntrainerIniTest, backbone_based_on_working_directory_p) {
ScopedIni b{getResPath("base", {"test"}), {nw_base_cross, batch_normal}};
ScopedIni s{getResPath("original"),
{nw_base_cross + "loss=mse", adam, input,