test: Do not set array size explictly

Change-Id: Ia8b4c081d74bcb3f36e2469dad96df9d64f0ed62
Signed-off-by: Inki Dae <inki.dae@samsung.com>

1 files changed, 35 insertions, 35 deletions

diff --git a/test/testsuites/inference/inference_test_suite.c b/test/testsuites/inference/inference_test_suite.c
index 4929301a..5f5cbdb2 100644
--- a/test/testsuites/inference/inference_test_suite.c
+++ b/test/testsuites/inference/inference_test_suite.c
@@ -437,8 +437,8 @@ int perform_configuration(mv_engine_config_h *engine_cfg)
 	int err = MEDIA_VISION_ERROR_NONE;
 
 	int sel_opt = 0;
-	const int options[13] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 };
-	const char *names[13] = { "Set Model Configuration",
+	const int options[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 };
+	const char *names[] = { "Set Model Configuration",
 							  "Set Model Weights",
 							  "Set Model Data Type",
 							  "Set Model UserFile",
@@ -548,7 +548,7 @@ int perform_tflite_mobilenetv1_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "input_2";
-	char *outputNodeName[1] = { "dense_3/Softmax" };
+	char *outputNodeName[] = { "dense_3/Softmax" };
 
 	mv_engine_config_set_string_attribute(
 			handle, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, IC_TFLITE_WEIGHT_PATH);
@@ -611,7 +611,7 @@ int perform_armnn_mobilenetv1_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "input_2";
-	char *outputNodeName[1] = { "dense_3/Softmax" };
+	char *outputNodeName[] = { "dense_3/Softmax" };
 
 	mv_engine_config_set_string_attribute(
 			handle, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, IC_TFLITE_WEIGHT_PATH);
@@ -674,7 +674,7 @@ int perform_nnfw_mobilenetv1_quant_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "input";
-	char *outputNodeName[1] = { "MobilenetV1/Predictions/Reshape_1" };
+	char *outputNodeName[] = { "MobilenetV1/Predictions/Reshape_1" };
 
 	mv_engine_config_set_string_attribute(
 			handle, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, IC_Q_TFLITE_WEIGHT_PATH);
@@ -737,7 +737,7 @@ int perform_vivante_inceptionv3_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "input";
-	char *outputNodeName[1] = { "InceptionV3/Predictions/Peshape_1" };
+	char *outputNodeName[] = { "InceptionV3/Predictions/Peshape_1" };
 
 	mv_engine_config_set_string_attribute(handle,
 										  MV_INFERENCE_MODEL_WEIGHT_FILE_PATH,
@@ -805,7 +805,7 @@ int perform_opencv_caffe_squeezenet_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "data";
-	char *outputNodeName[1] = { "prob" };
+	char *outputNodeName[] = { "prob" };
 
 	mv_engine_config_set_string_attribute(handle,
 										  MV_INFERENCE_MODEL_WEIGHT_FILE_PATH,
@@ -861,8 +861,8 @@ int perform_image_classification()
 	int err = MEDIA_VISION_ERROR_NONE;
 
 	int sel_opt = 0;
-	const int options[9] = { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
-	const char *names[9] = { "Configuration",
+	const int options[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9 };
+	const char *names[] = { "Configuration",
 							 "TFLite(cpu + Mobilenet)",
 							 "OpenCV(cpu + Squeezenet)",
 							 "ARMNN(cpu + Mobilenet)",
@@ -1128,7 +1128,7 @@ int perform_tflite_mobilenetv1ssd_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "normalized_input_image_tensor";
-	char *outputNodeName[4] = { "TFLite_Detection_PostProcess",
+	char *outputNodeName[] = { "TFLite_Detection_PostProcess",
 								"TFLite_Detection_PostProcess:1",
 								"TFLite_Detection_PostProcess:2",
 								"TFLite_Detection_PostProcess:3" };
@@ -1263,7 +1263,7 @@ int perform_armnn_mobilenetv1ssd_config(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "normalized_input_image_tensor";
-	char *outputNodeName[4] = { "TFLite_Detection_PostProcess",
+	char *outputNodeName[] = { "TFLite_Detection_PostProcess",
 								"TFLite_Detection_PostProcess:1",
 								"TFLite_Detection_PostProcess:2",
 								"TFLite_Detection_PostProcess:3" };
@@ -1316,8 +1316,8 @@ int perform_object_detection()
 	int err = MEDIA_VISION_ERROR_NONE;
 
 	int sel_opt = 0;
-	const int options[7] = { 1, 2, 3, 4, 5, 6, 7 };
-	const char *names[7] = { "Configuration",
+	const int options[] = { 1, 2, 3, 4, 5, 6, 7 };
+	const char *names[] = { "Configuration",
 							 "TFLITE(CPU) + MobileNetV1+SSD",
 							 "OPENCV(CPU) + MobileNetV1+SSD",
 							 "ARMNN(CPU) + MobileNetV1+SSD",
@@ -1555,7 +1555,7 @@ int perform_tflite_mobilenetv1ssd_face(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "normalized_input_image_tensor";
-	char *outputNodeName[4] = { "TFLite_Detection_PostProcess",
+	char *outputNodeName[] = { "TFLite_Detection_PostProcess",
 								"TFLite_Detection_PostProcess:1",
 								"TFLite_Detection_PostProcess:2",
 								"TFLite_Detection_PostProcess:3" };
@@ -1618,7 +1618,7 @@ int perform_opencv_resnet10ssd_face(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "data";
-	char *outputNodeName[1] = { "detection_out" };
+	char *outputNodeName[] = { "detection_out" };
 
 	mv_engine_config_set_string_attribute(handle,
 										  MV_INFERENCE_MODEL_WEIGHT_FILE_PATH,
@@ -1683,7 +1683,7 @@ int perform_armnn_mobilenetv1ssd_face(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "normalized_input_image_tensor";
-	char *outputNodeName[4] = { "TFLite_Detection_PostProcess",
+	char *outputNodeName[] = { "TFLite_Detection_PostProcess",
 								"TFLite_Detection_PostProcess:1",
 								"TFLite_Detection_PostProcess:2",
 								"TFLite_Detection_PostProcess:3" };
@@ -1733,8 +1733,8 @@ int perform_face_detection()
 	int err = MEDIA_VISION_ERROR_NONE;
 
 	int sel_opt = 0;
-	const int options[7] = { 1, 2, 3, 4, 5, 6, 7 };
-	const char *names[7] = { "Configuration",
+	const int options[] = { 1, 2, 3, 4, 5, 6, 7 };
+	const char *names[] = { "Configuration",
 							 "TFLite(CPU) + MobileNetV1 + SSD",
 							 "OPENCV(CPU) + Resnet10 + SSD",
 							 "ARMNN(CPU) + MobileNetV1 + SSD",
@@ -1905,8 +1905,8 @@ int perform_face_detection()
 		}
 
 		sel_opt = 0;
-		const int options_last[2] = { 1, 2 };
-		const char *names_last[2] = { "Yes", "No" };
+		const int options_last[] = { 1, 2 };
+		const char *names_last[] = { "Yes", "No" };
 
 		while (sel_opt == 0) {
 			sel_opt = show_menu("Run Face Detection again?:", options_last,
@@ -1969,7 +1969,7 @@ int perform_tflite_TweakCNN(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "INPUT_TENSOR_NAME";
-	char *outputNodeName[1] = { "OUTPUT_TENSOR_NAME" };
+	char *outputNodeName[] = { "OUTPUT_TENSOR_NAME" };
 
 	mv_engine_config_set_string_attribute(handle,
 										  MV_INFERENCE_MODEL_WEIGHT_FILE_PATH,
@@ -2027,7 +2027,7 @@ int perform_opencv_cnncascade(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "data";
-	char *outputNodeName[1] = { "Sigmoid_fc2" };
+	char *outputNodeName[] = { "Sigmoid_fc2" };
 
 	mv_engine_config_set_string_attribute(handle,
 										  MV_INFERENCE_MODEL_WEIGHT_FILE_PATH,
@@ -2076,8 +2076,8 @@ int perform_facial_landmark_detection()
 	int err = MEDIA_VISION_ERROR_NONE;
 
 	int sel_opt = 0;
-	const int options[6] = { 1, 2, 3, 4, 5, 6 };
-	const *names[6] = { "Configuration",
+	const int options[] = { 1, 2, 3, 4, 5, 6 };
+	const *names[] = { "Configuration",
 						"Tflite(CPU) + TweakCNN",
 						"OPENCV(CPU) + TweakCNN",
 						"Prepare",
@@ -2235,8 +2235,8 @@ int perform_facial_landmark_detection()
 		}
 
 		sel_opt = 0;
-		const int options_last[2] = { 1, 2 };
-		const char *names_last[2] = { "Yes", "No" };
+		const int options_last[] = { 1, 2 };
+		const char *names_last[] = { "Yes", "No" };
 
 		while (sel_opt == 0) {
 			sel_opt = show_menu(
@@ -2300,7 +2300,7 @@ int perform_armnn_pose_estimation_detection(mv_engine_config_h *engine_cfg)
 	}
 
 	char *inputNodeName = "image";
-	char *outputNodeName[1] = { "Convolutional_Pose_Machine/stage_5_out" };
+	char *outputNodeName[] = { "Convolutional_Pose_Machine/stage_5_out" };
 
 	mv_engine_config_set_string_attribute(
 			handle, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, PE_TFLITE_WEIGHT_PATH);
@@ -2344,8 +2344,8 @@ int perform_pose_estimation_detection()
 	int err = MEDIA_VISION_ERROR_NONE;
 
 	int sel_opt = 0;
-	const int options[5] = { 1, 2, 3, 4, 5 };
-	const *names[5] = { "Configuration", "ARMNN(CPU) + PoseEstimation",
+	const int options[] = { 1, 2, 3, 4, 5 };
+	const *names[] = { "Configuration", "ARMNN(CPU) + PoseEstimation",
 						"Prepare", "Run", "Back" };
 
 	mv_engine_config_h engine_cfg = NULL;
@@ -2483,8 +2483,8 @@ int perform_pose_estimation_detection()
 		}
 
 		sel_opt = 0;
-		const int options_last[2] = { 1, 2 };
-		const char *names_last[2] = { "Yes", "No" };
+		const int options_last[] = { 1, 2 };
+		const char *names_last[] = { "Yes", "No" };
 
 		while (sel_opt == 0) {
 			sel_opt = show_menu(
@@ -2513,8 +2513,8 @@ int main()
 {
 	int sel_opt = 0;
 
-	const int options[6] = { 1, 2, 3, 4, 5, 6 };
-	const char *names[6] = { "Image Classification", "Object Detection",
+	const int options[] = { 1, 2, 3, 4, 5, 6 };
+	const char *names[] = { "Image Classification", "Object Detection",
 							 "Face Detection",		 "Facial LandmarkDetection",
 							 "Pose Estimation",		 "Exit" };
 
@@ -2570,8 +2570,8 @@ int main()
 		}
 
 		sel_opt = 0;
-		const int options_last[2] = { 1, 2 };
-		const char *names_last[2] = { "Yes", "No" };
+		const int options_last[] = { 1, 2 };
+		const char *names_last[] = { "Yes", "No" };
 
 		while (sel_opt == 0) {
 			sel_opt =