--- /dev/null
+#!/usr/bin/env bash
+##
+## SPDX-License-Identifier: LGPL-2.1-only
+##
+## @file runTest.sh
+## @author Suyeon Kim <suyeon5.kim@samsung.com>
+## @date Oct 30 2023
+## @brief SSAT Test Cases for NNStreamer
+##
+
+if [[ "$SSATAPILOADED" != "1" ]]; then
+ SILENT=0
+ INDEPENDENT=1
+ search="ssat-api.sh"
+ source $search
+ printf "${Blue}Independent Mode${NC}"
+fi
+
+# This is compatible with SSAT (https://github.com/myungjoo/SSAT)
+testInit $1
+
+# NNStreamer and plugins path for test
+PATH_TO_PLUGIN="../../build"
+
+if [[ -d $PATH_TO_PLUGIN ]]; then
+ ini_path="${PATH_TO_PLUGIN}/ext/nnstreamer/tensor_filter"
+ if [[ -d ${ini_path} ]]; then
+ check=$(ls ${ini_path} | grep onnxruntime.so)
+ if [[ ! $check ]]; then
+ echo "Cannot find onnxruntime shared lib"
+ report
+ exit
+ fi
+ else
+ echo "Cannot find ${ini_path}"
+ fi
+else
+ ini_file="/etc/nnstreamer.ini"
+ if [[ -f ${ini_file} ]]; then
+ path=$(grep "^filters" ${ini_file})
+ key=${path%=*}
+ value=${path##*=}
+
+ if [[ $key != "filters" ]]; then
+ echo "String Error"
+ report
+ exit
+ fi
+
+ if [[ -d ${value} ]]; then
+ check=$(ls ${value} | grep onnxruntime.so)
+ if [[ ! $check ]]; then
+ echo "Cannot find onnxruntime lib"
+ report
+ exit
+ fi
+ else
+ echo "Cannot find ${value}"
+ report
+ exit
+ fi
+else
+ echo "Cannot identify nnstreamer.ini"
+ report
+ exit
+ fi
+fi
+
+PATH_TO_MODEL="../test_models/models/mobilenet_v2_quant.onnx"
+PATH_TO_LABEL="../test_models/labels/labels.txt"
+PATH_TO_IMAGE="../test_models/data/orange.png"
+PATH_TO_CLASS="class.out.log"
+
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=${PATH_TO_MODEL} ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 1 0 0 $PERFORMANCE
+class=`cat ${PATH_TO_CLASS}`
+[ "$class" = "orange" ]
+testResult $? 1 "Golden test comparison" 0 1
+
+# Negative tests: wrong input dimensions 1:3:224:224 instead of 1:224:224:3
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=${PATH_TO_MODEL} ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 1_n 0 1 $PERFORMANCE
+
+# Negative tests: wrong model data type
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float16,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=${PATH_TO_MODEL} ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 2_n 0 1 $PERFORMANCE
+
+# Negative tests: wrong model input type
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=${PATH_TO_MODEL} input=7:1 outputtype=float32 ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 3_n 0 1 $PERFORMANCE
+
+# Negative tests: wrong model output type
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=${PATH_TO_MODEL} output=1:7 outputtype=int8 ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 4_n 0 1 $PERFORMANCE
+
+# Negative tests: invalid model path
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=../${PATH_TO_MODEL} ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 5_n 0 1 $PERFORMANCE
+
+PATH_TO_MODEL="../test_models/models/mobilenet_v1_1.0_224_quant.invalid"
+# Negative tests: invalid model file
+gstTest "--gst-plugin-path=${PATH_TO_PLUGIN} filesrc location=${PATH_TO_IMAGE} ! pngdec ! videoscale ! imagefreeze ! videoconvert ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=${PATH_TO_MODEL} ! tensor_decoder mode=image_labeling option1=${PATH_TO_LABEL} ! filesink location=${PATH_TO_CLASS} " 6_n 0 1 $PERFORMANCE
+
+
+# Cleanup
+rm *.log
+
+report
--- /dev/null
+/* SPDX-License-Identifier: LGPL-2.1-only */
+/**
+ * @file unittest_filter_onnxruntime.cc
+ * @date 30 Oct 2023
+ * @brief Unit test for onnxruntime tensor filter sub-plugin
+ * @author Suyeon Kim <suyeon5.kim@samsung.com>
+ * @see http://github.com/nnstreamer/nnstreamer
+ * @bug No known bugs
+ *
+ */
+
+#include <gtest/gtest.h>
+#include <glib.h>
+#include <gst/gst.h>
+
+#include <nnstreamer_plugin_api_filter.h>
+#include <nnstreamer_util.h>
+#include <tensor_common.h>
+#include <unittest_util.h>
+#include "nnstreamer_plugin_api.h"
+#include "nnstreamer_plugin_api_util.h"
+
+/**
+ * @brief internal function to get model filename
+ */
+static gboolean
+_GetModelFilePath (gchar **model_file)
+{
+ const gchar *src_root = g_getenv ("NNSTREAMER_SOURCE_ROOT_PATH");
+ g_autofree gchar *root_path = src_root ? g_strdup (src_root) : g_get_current_dir ();
+ std::string model_name = "mobilenet_v2_quant.onnx";
+
+ *model_file = g_build_filename (
+ root_path, "tests", "test_models", "models", model_name.c_str (), NULL);
+
+ return g_file_test (*model_file, G_FILE_TEST_EXISTS);
+}
+
+/**
+ * @brief internal function to get the orange.png
+ */
+static gboolean
+_GetOrangePngFilePath (gchar **input_file)
+{
+ const gchar *src_root = g_getenv ("NNSTREAMER_SOURCE_ROOT_PATH");
+ g_autofree gchar *root_path = src_root ? g_strdup (src_root) : g_get_current_dir ();
+ std::string input_file_name = "orange.png";
+
+ *input_file = g_build_filename (
+ root_path, "tests", "test_models", "data", input_file_name.c_str (), NULL);
+
+ return g_file_test (*input_file, G_FILE_TEST_EXISTS);
+}
+
+/**
+ * @brief Set tensor filter properties
+ */
+static void
+_SetFilterProp (GstTensorFilterProperties *prop, const gchar *name, const gchar **models)
+{
+ memset (prop, 0, sizeof (GstTensorFilterProperties));
+ prop->fwname = name;
+ prop->fw_opened = 0;
+ prop->model_files = models;
+ prop->num_models = g_strv_length ((gchar **) models);
+}
+
+/**
+ * @brief Signal to validate the result in tensor_sink
+ */
+static void
+check_output (GstElement *element, GstBuffer *buffer, gpointer user_data)
+{
+ GstMemory *mem_res;
+ GstMapInfo info_res;
+ gboolean mapped;
+ UNUSED (element);
+
+ mem_res = gst_buffer_get_memory (buffer, 0);
+ mapped = gst_memory_map (mem_res, &info_res, GST_MAP_READ);
+ ASSERT_TRUE (mapped);
+
+ gint is_float = (gint) * ((guint8 *) user_data);
+ guint idx, max_idx = 0U;
+
+ if (is_float == 0) {
+ guint8 *output = (guint8 *) info_res.data;
+ guint8 max_value = 0;
+
+ for (idx = 0; idx < info_res.size; ++idx) {
+ if (output[idx] > max_value) {
+ max_value = output[idx];
+ max_idx = idx;
+ }
+ }
+ } else if (is_float == 1) {
+ gfloat *output = (gfloat *) info_res.data;
+ gfloat max_value = G_MINFLOAT;
+
+ for (idx = 0; idx < (info_res.size / sizeof (gfloat)); ++idx) {
+ if (output[idx] > max_value) {
+ max_value = output[idx];
+ max_idx = idx;
+ }
+ }
+ }
+
+ gst_memory_unmap (mem_res, &info_res);
+ gst_memory_unref (mem_res);
+
+ EXPECT_EQ (max_idx, 951U);
+}
+
+/**
+ * @brief Negative test case with invalid model file path
+ */
+TEST (nnstreamerFilterOnnxRuntime, openClose00)
+{
+ int ret;
+ void *data = NULL;
+
+ const gchar *model_files[] = {
+ "some/invalid/model/path.onnx",
+ NULL,
+ };
+
+ const GstTensorFilterFramework *sp = nnstreamer_filter_find ("onnxruntime");
+ EXPECT_NE (sp, nullptr);
+
+ GstTensorFilterProperties prop;
+ _SetFilterProp (&prop, "onnxruntime", model_files);
+
+ ret = sp->open (&prop, &data);
+ EXPECT_NE (ret, 0);
+}
+
+/**
+ * @brief Positive case with successful getModelInfo
+ */
+TEST (nnstreamerFilterOnnxRuntime, getModelInfo00)
+{
+ int ret;
+ void *data = NULL;
+ gchar *model_file;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ const gchar *model_files[] = {
+ model_file,
+ NULL,
+ };
+
+ const GstTensorFilterFramework *sp = nnstreamer_filter_find ("onnxruntime");
+ EXPECT_NE (sp, nullptr);
+
+ GstTensorFilterProperties prop;
+ _SetFilterProp (&prop, "onnxruntime", model_files);
+
+ ret = sp->open (&prop, &data);
+ EXPECT_EQ (ret, 0);
+}
+
+/**
+ * @brief Positive case with successful getModelInfo
+ */
+TEST (nnstreamerFilterOnnxRuntime, getModelInfo00_1)
+{
+ int ret;
+ void *data = NULL;
+ g_autofree gchar *model_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ const gchar *model_files[] = {
+ model_file,
+ NULL,
+ };
+
+ const GstTensorFilterFramework *sp = nnstreamer_filter_find ("onnxruntime");
+ EXPECT_NE (sp, nullptr);
+
+ GstTensorFilterProperties prop;
+ _SetFilterProp (&prop, "onnxruntime", model_files);
+
+ ret = sp->open (&prop, &data);
+
+ EXPECT_EQ (ret, 0);
+
+ GstTensorsInfo in_info, out_info;
+ ret = sp->getModelInfo (NULL, NULL, data, GET_IN_OUT_INFO, &in_info, &out_info);
+ EXPECT_EQ (ret, 0);
+
+ EXPECT_EQ (in_info.num_tensors, 1U);
+ EXPECT_EQ (in_info.info[0].dimension[0], 224U);
+ EXPECT_EQ (in_info.info[0].dimension[1], 224U);
+ EXPECT_EQ (in_info.info[0].dimension[2], 3U);
+ EXPECT_EQ (in_info.info[0].dimension[3], 1U);
+ EXPECT_EQ (in_info.info[0].type, _NNS_FLOAT32);
+
+ EXPECT_EQ (out_info.num_tensors, 1U);
+ EXPECT_EQ (out_info.info[0].dimension[0], 1000U);
+ EXPECT_EQ (out_info.info[0].dimension[1], 1U);
+ EXPECT_EQ (out_info.info[0].dimension[2], 0U);
+ EXPECT_EQ (out_info.info[0].dimension[3], 0U);
+ EXPECT_EQ (out_info.info[0].type, _NNS_FLOAT32);
+
+ sp->close (&prop, &data);
+
+ gst_tensors_info_free (&in_info);
+ gst_tensors_info_free (&out_info);
+}
+
+/**
+ * @brief Test onnxruntime subplugin with successful invoke for sample onnx model (input data type: float)
+ */
+TEST (nnstreamerFilterOnnxRuntime, invoke00)
+{
+ int ret;
+ void *data = NULL;
+ GstTensorMemory input, output;
+ g_autofree gchar *model_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ const gchar *model_files[] = {
+ model_file,
+ NULL,
+ };
+
+ const GstTensorFilterFramework *sp = nnstreamer_filter_find ("onnxruntime");
+ ASSERT_TRUE (sp != nullptr);
+
+ GstTensorFilterProperties prop;
+ _SetFilterProp (&prop, "onnxruntime", model_files);
+
+ input.size = sizeof (float) * 224 * 224 * 3 * 1;
+ output.size = sizeof (float) * 1000 * 1;
+
+ input.data = g_malloc0 (input.size);
+ output.data = g_malloc0 (output.size);
+
+ ret = sp->open (&prop, &data);
+ EXPECT_EQ (ret, 0);
+
+ /* invoke successful */
+ ret = sp->invoke (NULL, &prop, data, &input, &output);
+ EXPECT_EQ (ret, 0);
+
+ g_free (input.data);
+ g_free (output.data);
+
+ sp->close (&prop, &data);
+}
+
+/**
+ * @brief Negative case with invalid input/output
+ */
+TEST (nnstreamerFilterOnnxRuntime, invoke01_n)
+{
+ int ret;
+ void *data = NULL;
+ GstTensorMemory input, output;
+ g_autofree gchar *model_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ const gchar *model_files[] = {
+ model_file,
+ NULL,
+ };
+
+ const GstTensorFilterFramework *sp = nnstreamer_filter_find ("onnxruntime");
+ ASSERT_TRUE (sp != nullptr);
+
+ GstTensorFilterProperties prop;
+ _SetFilterProp (&prop, "onnxruntime", model_files);
+
+ output.size = input.size = sizeof (float) * 1;
+ input.data = g_malloc0 (input.size);
+ output.data = g_malloc0 (output.size);
+
+ ret = sp->open (&prop, &data);
+ EXPECT_EQ (ret, 0);
+
+ /* catching exception */
+ EXPECT_NE (sp->invoke (NULL, &prop, data, NULL, &output), 0);
+ EXPECT_NE (sp->invoke (NULL, &prop, data, &input, NULL), 0);
+
+ g_free (input.data);
+ g_free (output.data);
+ sp->close (&prop, &data);
+}
+
+/**
+ * @brief Negative case to launch gst pipeline: wrong dimension
+ */
+TEST (nnstreamerFilterOnnxRuntime, launch00_n)
+{
+ GstElement *gstpipe;
+ GError *err = NULL;
+ g_autofree gchar *model_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ /* create a nnstreamer pipeline */
+ g_autofree gchar *pipeline = g_strdup_printf (
+ "videotestsrc num-buffers=10 ! videoconvert ! videoscale ! video/x-raw,format=RGB,width=42,height=42,framerate=0/1 ! tensor_converter ! tensor_filter framework=onnxruntime model=\"%s\" latency=1 ! tensor_sink",
+ model_file);
+
+ gstpipe = gst_parse_launch (pipeline, &err);
+ ASSERT_TRUE (gstpipe != nullptr);
+
+ EXPECT_NE (setPipelineStateSync (gstpipe, GST_STATE_PLAYING, UNITTEST_STATECHANGE_TIMEOUT), 0);
+
+ gst_object_unref (gstpipe);
+}
+
+/**
+ * @brief Negative case to launch gst pipeline: wrong data type
+ */
+TEST (nnstreamerFilterOnnxRuntime, launch01_n)
+{
+ GstElement *gstpipe;
+ GError *err = NULL;
+ g_autofree gchar *model_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ /* create a nnstreamer pipeline */
+ g_autofree gchar *pipeline = g_strdup_printf (
+ "videotestsrc num-buffers=10 ! videoconvert ! videoscale ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_filter framework=onnxruntime model=\"%s\" latency=1 ! tensor_sink",
+ model_file);
+
+ gstpipe = gst_parse_launch (pipeline, &err);
+ ASSERT_TRUE (gstpipe != nullptr);
+
+ EXPECT_NE (setPipelineStateSync (gstpipe, GST_STATE_PLAYING, UNITTEST_STATECHANGE_TIMEOUT), 0);
+
+ gst_object_unref (gstpipe);
+}
+
+/**
+ * @brief Positive case to launch gst pipeline
+ */
+TEST (nnstreamerFilterOnnxRuntime, floatModelResult)
+{
+ GstElement *gstpipe;
+ GError *err = NULL;
+ g_autofree gchar *model_file = NULL;
+ g_autofree gchar *input_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+ ASSERT_TRUE (_GetOrangePngFilePath (&input_file));
+
+ /* create a nnstreamer pipeline */
+ g_autofree gchar *pipeline = g_strdup_printf (
+ "filesrc location=\"%s\" ! pngdec ! videoconvert ! videoscale ! video/x-raw,format=RGB,width=224,height=224,framerate=0/1 ! tensor_converter ! tensor_transform mode=transpose option=1:2:0:3 ! tensor_transform mode=arithmetic option=typecast:float32,div:127.5,add:-1.0 ! tensor_filter framework=onnxruntime model=\"%s\" ! tensor_sink name=sink",
+ input_file, model_file);
+
+ gstpipe = gst_parse_launch (pipeline, &err);
+ ASSERT_TRUE (gstpipe != nullptr);
+
+ GstElement *sink_handle = gst_bin_get_by_name (GST_BIN (gstpipe), "sink");
+
+ ASSERT_TRUE (sink_handle != nullptr);
+
+ guint8 is_float = 1;
+
+ g_signal_connect (sink_handle, "new-data", (GCallback) check_output, &is_float);
+
+ EXPECT_EQ (setPipelineStateSync (gstpipe, GST_STATE_PLAYING, UNITTEST_STATECHANGE_TIMEOUT * 10),
+ 0);
+
+ EXPECT_EQ (setPipelineStateSync (gstpipe, GST_STATE_NULL, UNITTEST_STATECHANGE_TIMEOUT), 0);
+
+ gst_object_unref (sink_handle);
+ gst_object_unref (gstpipe);
+}
+
+/**
+ * @brief Negative case with incorrect path
+ */
+TEST (nnstreamerFilterOnnxRuntime, error00_n)
+{
+ GstElement *gstpipe;
+ GError *err = NULL;
+ int status = 0;
+ const gchar *root_path = g_getenv ("NNSTREAMER_SOURCE_ROOT_PATH");
+ g_autofree gchar *model_file = g_build_filename (
+ root_path, "tests", "test_models", "models", "incorrect_path.onnx", NULL);
+
+ /* Create a nnstreamer pipeline */
+ g_autofree gchar *pipeline = g_strdup_printf (
+ "videotestsrc ! videoconvert ! videoscale ! videorate ! video/x-raw,format=RGB,width=224,height=224 ! tensor_converter ! tensor_filter framework=onnxruntime model=\"%s\" ! fakesink",
+ model_file);
+ gstpipe = gst_parse_launch (pipeline, &err);
+
+ if (gstpipe) {
+ EXPECT_NE (gst_element_set_state (gstpipe, GST_STATE_PLAYING), GST_STATE_CHANGE_SUCCESS);
+ EXPECT_EQ (gst_element_set_state (gstpipe, GST_STATE_PLAYING), GST_STATE_CHANGE_FAILURE);
+ g_usleep (500000);
+ EXPECT_NE (gst_element_set_state (gstpipe, GST_STATE_NULL), GST_STATE_CHANGE_FAILURE);
+ g_usleep (100000);
+
+ gst_object_unref (gstpipe);
+ } else {
+ status = -1;
+ ml_loge ("GST PARSE LAUNCH FAILED: [%s], %s\n", pipeline,
+ (err) ? err->message : "unknown reason");
+ g_clear_error (&err);
+ }
+ EXPECT_EQ (status, 0);
+}
+
+/**
+ * @brief Negative case with incorrect tensor meta
+ */
+TEST (nnstreamerFilterOnnxRuntime, error01_n)
+{
+ GstElement *gstpipe;
+ GError *err = NULL;
+ int status = 0;
+ g_autofree gchar *model_file = NULL;
+
+ ASSERT_TRUE (_GetModelFilePath (&model_file));
+
+ /* Create a nnstreamer pipeline */
+ g_autofree gchar *pipeline = g_strdup_printf (
+ "videotestsrc ! videoconvert ! videoscale ! videorate ! video/x-raw,format=RGB,width=240,height=224 ! tensor_converter ! tensor_filter framework=onnxruntime model=\"%s\" ! fakesink",
+ model_file);
+
+ gstpipe = gst_parse_launch (pipeline, &err);
+ if (gstpipe) {
+ GstState state, pending;
+
+ EXPECT_NE (gst_element_set_state (gstpipe, GST_STATE_PLAYING), GST_STATE_CHANGE_SUCCESS);
+ g_usleep (500000);
+ /* This should fail: dimension mismatched. */
+ EXPECT_EQ (gst_element_get_state (gstpipe, &state, &pending, GST_SECOND / 4),
+ GST_STATE_CHANGE_FAILURE);
+
+ EXPECT_NE (gst_element_set_state (gstpipe, GST_STATE_NULL), GST_STATE_CHANGE_FAILURE);
+ g_usleep (100000);
+
+ gst_object_unref (gstpipe);
+ } else {
+ status = -1;
+ ml_loge ("GST PARSE LAUNCH FAILED: [%s], %s\n", pipeline,
+ (err) ? err->message : "unknown reason");
+ g_clear_error (&err);
+ }
+ EXPECT_EQ (status, 0);
+}
+
+/**
+ * @brief Main GTest
+ */
+int
+main (int argc, char **argv)
+{
+ int result = -1;
+
+ try {
+ testing::InitGoogleTest (&argc, argv);
+ } catch (...) {
+ g_warning ("catch 'testing::internal::<unnamed>::ClassUniqueToAlwaysTrue'");
+ }
+
+ gst_init (&argc, &argv);
+
+ /* Force the binary to use dlog_print of untitest-util by calling it directly */
+ ml_logd ("onnxruntime test starts w/ dummy backend.");
+
+ try {
+ result = RUN_ALL_TESTS ();
+ } catch (...) {
+ g_warning ("catch `testing::internal::GoogleTestFailureException`");
+ }
+
+ return result;
+}
projects / platform / upstream / nnstreamer.git / commitdiff