/**
* @brief Test utility functions (public)
*/
+TEST (nnstreamer_capi_util, info_clone)
+{
+ gint status;
+ guint count = 0;
+ ml_tensors_info_h in_info, out_info;
+ ml_tensor_dimension in_dim, out_dim;
+ ml_tensor_type_e type = ML_TENSOR_TYPE_UNKNOWN;
+
+ status = ml_tensors_info_create (&in_info);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ status = ml_tensors_info_create (&out_info);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+
+ in_dim[0] = 5;
+ in_dim[1] = 1;
+ in_dim[2] = 1;
+ in_dim[3] = 1;
+
+ status = ml_tensors_info_set_count (in_info, 1);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ status = ml_tensors_info_set_tensor_type (in_info, 0, ML_TENSOR_TYPE_UINT8);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ status = ml_tensors_info_set_tensor_dimension (in_info, 0, in_dim);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+
+ status = ml_tensors_info_clone (out_info, in_info);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+
+ status = ml_tensors_info_get_count (out_info, &count);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ EXPECT_EQ (count, 1U);
+
+ status = ml_tensors_info_get_tensor_type (out_info, 0, &type);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ EXPECT_EQ (type, ML_TENSOR_TYPE_UINT8);
+
+ status = ml_tensors_info_get_tensor_dimension (out_info, 0, out_dim);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ EXPECT_TRUE (in_dim[0] == out_dim[0]);
+ EXPECT_TRUE (in_dim[1] == out_dim[1]);
+ EXPECT_TRUE (in_dim[2] == out_dim[2]);
+ EXPECT_TRUE (in_dim[3] == out_dim[3]);
+
+ status = ml_tensors_info_destroy (in_info);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+ status = ml_tensors_info_destroy (out_info);
+ EXPECT_EQ (status, ML_ERROR_NONE);
+}
+
+/**
+ * @brief Test utility functions (public)
+ */
TEST (nnstreamer_capi_util, info_clone_01_n)
{
int status;