diff --git a/mindspore/lite/test/CMakeLists.txt b/mindspore/lite/test/CMakeLists.txt
index ef6612e9e97..7f6d54a02f3 100644
--- a/mindspore/lite/test/CMakeLists.txt
+++ b/mindspore/lite/test/CMakeLists.txt
@@ -224,7 +224,6 @@ if(MSLITE_ENABLE_CONVERTER)
             ${LITE_DIR}/tools/optimizer/fusion/multi_head_attention_fusion.cc
             ${LITE_DIR}/tools/optimizer/fusion/reshape_reshape_fusion.cc
             ${LITE_DIR}/tools/optimizer/fusion/constant_folding_fusion.cc
-            ${LITE_DIR}/tools/optimizer/fusion/quant_dtype_cast_fusion.cc
             ${LITE_DIR}/tools/optimizer/fusion/norm_fusion.cc
             ${LITE_DIR}/tools/optimizer/fusion/batchmatmul_fusion.cc
             ${LITE_DIR}/tools/optimizer/fusion/sigmoid_mul_fusion.cc
diff --git a/mindspore/lite/test/config/models_codegen.cfg b/mindspore/lite/test/config/models_codegen.cfg
index 34af56d69e0..9f1108f51aa 100644
--- a/mindspore/lite/test/config/models_codegen.cfg
+++ b/mindspore/lite/test/config/models_codegen.cfg
@@ -1,4 +1,4 @@
-hiai_model_0909_kd_rot_ps_softmax.tflite
+Modify_Out_hiai_model_0909_kd_rot_ps_softmax.tflite
 # hiai_chinese_english_recognize_model_float32.tflite
 # hiai_bigmodel_ghost_2_1_no_normalized_no_trans_tflite.tflite
 # hiai_bigmodel_ghost_5_1_no_normalized_no_trans_tflite.tflite
@@ -6,44 +6,44 @@ hiai_model_0909_kd_rot_ps_softmax.tflite
 # hiai_model_normalize_object_scene_ps_20200519.tflite
 # mtk_AADB_HADB_MBV2_model_fp32.tflite
 # mtk_AADB_HADB_MBV3_model_fp32.tflite
-mobilenet_v1_0.25_128.tflite
-mobilenet_v1_0.25_160.tflite
-mobilenet_v1_0.25_192.tflite
-mobilenet_v1_0.25_224.tflite
-mobilenet_v1_0.5_128.tflite
-mobilenet_v1_0.5_160.tflite
-mobilenet_v1_0.5_192.tflite
-mobilenet_v1_0.5_224.tflite
-mobilenet_v1_0.75_128.tflite
-mobilenet_v1_0.75_160.tflite
-mobilenet_v1_0.75_192.tflite
-mobilenet_v1_0.75_224.tflite
-mobilenet_v1_1.0_128.tflite
-mobilenet_v1_1.0_160.tflite
-mobilenet_v1_1.0_192.tflite
-mobilenet_v1_1.0_224.tflite
-mobilenet_v2_1.0_224.tflite
+Modify_Out_mobilenet_v1_0.25_128.tflite
+Modify_Out_mobilenet_v1_0.25_160.tflite
+Modify_Out_mobilenet_v1_0.25_192.tflite
+Modify_Out_mobilenet_v1_0.25_224.tflite
+Modify_Out_mobilenet_v1_0.5_128.tflite
+Modify_Out_mobilenet_v1_0.5_160.tflite
+Modify_Out_mobilenet_v1_0.5_192.tflite
+Modify_Out_mobilenet_v1_0.5_224.tflite
+Modify_Out_mobilenet_v1_0.75_128.tflite
+Modify_Out_mobilenet_v1_0.75_160.tflite
+Modify_Out_mobilenet_v1_0.75_192.tflite
+Modify_Out_mobilenet_v1_0.75_224.tflite
+Modify_Out_mobilenet_v1_1.0_128.tflite
+Modify_Out_mobilenet_v1_1.0_160.tflite
+Modify_Out_mobilenet_v1_1.0_192.tflite
+Modify_Out_mobilenet_v1_1.0_224.tflite
+Modify_Out_mobilenet_v2_1.0_224.tflite
 # mtk_model_normalize_object_scene_ps_20200519_f32.tflite
 # mtk_model_ckpt.tflite
-mtk_age_gender.tflite
+Modify_Out_mtk_age_gender.tflite
 # mtk_model_face_dress.tflite
 # mtk_face_features_v1.tflite
 # densenet.tflite
-squeezenet.tflite
+Modify_Out_squeezenet.tflite
 # resnet_v2_101_299.tflite
 # mnasnet_1.3_224.tflite
-inception_v3.tflite
+Modify_Out_inception_v3.tflite
 # deeplabv3_257_mv_gpu.tflite
 # multi_person_mobilenet_v1_075_float.tflite
 # hiai_vad.tflite
 # ide_label_base.tflite
 # ide_label_retrained.tflite
-ml_ei_headpose.tflite
+Modify_Out_ml_ei_headpose.tflite
 # ml_ei_landmark.tflite
-mnist.tflite
-mobilenet.tflite
-resnet.tflite
-scan_hms_angle1.tflite
+Modify_Out_mnist.tflite
+Modify_Out_mobilenet.tflite
+Modify_Out_resnet.tflite
+Modify_Out_scan_hms_angle1.tflite
 # scan_hms_detect.tflite
 # hiai_latin_ocr.tflite
 # hiai_latin_ocr_1.tflite
@@ -57,25 +57,25 @@ scan_hms_angle1.tflite
 # hiai_ssd_mobilenetv2_object.tflite
 # hiai_cv_focusShootOCRModel_02.tflite
 # hiai_cv_poseEstimation.tflite
-inception_v4.tflite
+Modify_Out_inception_v4.tflite
 # mtk_model_normalize_object_scene_ps_20200519_f16.tflite
 # mtk_age_gender_fp16.tflite
 # mtk_model_face_dress_fp16.tflite
-mtk_AADB_HADB_MBV2_model_f16.tflite
+Modify_Out_mtk_AADB_HADB_MBV2_model_f16.tflite
 # mtk_AADB_HADB_MBV3_model_f16.tflite
 # mtk_model_emotions_0725_fp16.tflite
 # mtk_face_features_v1_fp16.tflite
 # siteAI_digcom_AI_ECN.tflite
-siteAI_digcom_g2v_keras.tflite
-siteAI_trans_nonlinear.tflite
-siteAI_trans_tcpclassify.tflite
-siteAI_wireless_depress_w.tflite
-siteAI_wireless_restore_w.tflite
+Modify_Out_siteAI_digcom_g2v_keras.tflite
+Modify_Out_siteAI_trans_nonlinear.tflite
+Modify_Out_siteAI_trans_tcpclassify.tflite
+Modify_Out_siteAI_wireless_depress_w.tflite
+Modify_Out_siteAI_wireless_restore_w.tflite
 # magenta_arbitrary-image-stylization-v1-256_fp16_prediction_1.tflite
 # ml_object_detect.tflite
 # ml_object_detect_1.tflite
-hiai_cpu_face_emotion.tflite
-hiai_cpu_face_gazing.tflite
+Modify_Out_hiai_cpu_face_emotion.tflite
+Modify_Out_hiai_cpu_face_gazing.tflite
 # hiai_cpu_face_headpose.tflite
 # hiai_humanDetection.tflite
 # hiai_cv_focusShootOCRModel_08.tflite
@@ -83,20 +83,20 @@ hiai_cpu_face_gazing.tflite
 # hiai_face_model_npu.tflite
 # hiai_ctpn_feature_map.tflite
 # hiai_cv_labelDetectorModel_v2.tflite
-hiai_cv_labelDetectorModel_v4.tflite
+Modify_Out_hiai_cv_labelDetectorModel_v4.tflite
 # hiai_dress_detect.tflite
 # hiai_cv_saliencyDetectorModel.tflite
 # hiai_frozen_inference_graph.tflite
 # hiai_ghostnet.tflite
 # hiai_iMaxDN_RGB.tflite
 # hiai_iMaxSR_RGB.tflite
-hiai_label_and_video.tflite
+Modify_Out_hiai_label_and_video.tflite
 # hiai_lm_inference_graph.tflite
-efficientnet_lite0_fp32_2.tflite
-efficientnet_lite1_fp32_2.tflite
-efficientnet_lite2_fp32_2.tflite
-efficientnet_lite3_fp32_2.tflite
-efficientnet_lite4_fp32_2.tflite
+Modify_Out_efficientnet_lite0_fp32_2.tflite
+Modify_Out_efficientnet_lite1_fp32_2.tflite
+Modify_Out_efficientnet_lite2_fp32_2.tflite
+Modify_Out_efficientnet_lite3_fp32_2.tflite
+Modify_Out_efficientnet_lite4_fp32_2.tflite
 # mnasnet_0.50_224_1_metadata_1.tflite
 # mnasnet_0.75_224_1_metadata_1.tflite
 # mnasnet_1.0_128_1_metadata_1.tflite
@@ -138,7 +138,7 @@ efficientnet_lite4_fp32_2.tflite
 # ml_location.tflite
 # ml_face_openclose_tflite.tflite
 # ml_object_detect_pb2tflite.tflite
-Q_AADB_HADB_MBV2_model.tflite
+Modify_Out_Q_AADB_HADB_MBV2_model.tflite
 # Q_convert.tflite
 # Q_crnn_ori_75w_slim_norm_pb2tflite.tflite
 # Q_crnn_ori_v2_405001_notrans_nopre_pb2tflite.tflite
@@ -169,6 +169,6 @@ Q_AADB_HADB_MBV2_model.tflite
 # text_classification.tflite
 # Q_detect_fpn_add_inception-1448650.tflite
 # Q_hand_0812_pb2tflite.tflite
-intent_detect_hi_v2.tflite
-simple_IPS_model_4D_input.onnx
-rpnt_pdr_conv2d_16_fixed_last.onnx
+Modify_Out_intent_detect_hi_v2.tflite
+Modify_Out_simple_IPS_model_4D_input.onnx
+Modify_Out_rpnt_pdr_conv2d_16_fixed_last.onnx
diff --git a/mindspore/lite/test/config/models_codegen_parallel.cfg b/mindspore/lite/test/config/models_codegen_parallel.cfg
index 696f82cd629..2c7a4a453a2 100644
--- a/mindspore/lite/test/config/models_codegen_parallel.cfg
+++ b/mindspore/lite/test/config/models_codegen_parallel.cfg
@@ -1 +1 @@
-intent_detect_hi_v2.tflite
+Modify_Out_intent_detect_hi_v2.tflite
diff --git a/mindspore/lite/test/config/models_gpu_fp32.cfg b/mindspore/lite/test/config/models_gpu_fp32.cfg
index 40beef239a0..5b0f519ca23 100644
--- a/mindspore/lite/test/config/models_gpu_fp32.cfg
+++ b/mindspore/lite/test/config/models_gpu_fp32.cfg
@@ -101,7 +101,7 @@ Q_crnn_ori_75w_slim_norm.pb
 Q_crnn_ori_v2_405001_notrans_nopre.pb
 bolt_segment.pb
 ml_location_lane_counter.onnx 2
-gts_detect_5k_tf115.tflite
+Modify_Out_gts_detect_5k_tf115.tflite
 smartreply.tflite
 ml_text_correction.tflite
 ml_ocr_jk_pb2tflite.tflite
@@ -152,7 +152,7 @@ hiai_iMaxDN_RGB.pb
 hiai_iMaxSR_RGB.pb
 hiai_lm_inference_graph.pb
 hiai_PoseEstimation_Pcm.pb
-hiai_model_0909_kd_rot_ps_softmax.tflite
+Modify_Out_hiai_model_0909_kd_rot_ps_softmax.tflite
 hiai_chinese_english_recognize_model_float32.tflite
 hiai_bigmodel_ghost_2_1_no_normalized_no_trans_tflite.tflite
 hiai_bigmodel_ghost_5_1_no_normalized_no_trans_tflite.tflite
diff --git a/mindspore/lite/test/config/models_npu.cfg b/mindspore/lite/test/config/models_npu.cfg
index fff1d7aaf65..f4389470185 100644
--- a/mindspore/lite/test/config/models_npu.cfg
+++ b/mindspore/lite/test/config/models_npu.cfg
@@ -88,7 +88,7 @@ ml_video_edit_hair_dyeing_segmodel_v2 0.5
 ml_video_edit_makeup_mobilenetv203.onnx 2
 ml_video_edit_hairline_segmentation;3 0.5
 ml_video_edit_hair_dyeing_migrate_v2.onnx;4 0.5
-ml_audio_kit_encoder_v5.pb;6;1,32:1,32:1,32:1,32:1:1
+Modify_Out_ml_audio_kit_encoder_v5.pb;6;1,32:1,32:1,32:1,32:1:1
 fsr_270_mindspore.pb 1
 fsr_360_mindspore.pb 1
 fsr_720_mindspore.pb 1
diff --git a/mindspore/lite/test/config/models_tf.cfg b/mindspore/lite/test/config/models_tf.cfg
index 999fb519b56..bef817df7d7 100644
--- a/mindspore/lite/test/config/models_tf.cfg
+++ b/mindspore/lite/test/config/models_tf.cfg
@@ -91,7 +91,7 @@ tacotron_encoder_stf.pb;5;1:1,62:1,62:1,62:1,62;;input_dependent
 female_model_step2_int16_noiseout.pb;66
 ml_female_model_step6_noiseout.pb;66
 ml_male_model_step6_noiseout.pb;66
-ml_tts_decoder_control_flow.pb;5
+Modify_Out_ml_tts_decoder_control_flow.pb;5
 ml_tts_decoder.pb;5
 ml_tts_encoder_control_flow.pb;4;1:1,22:1:1;;input_dependent
 ml_tts_vocoder.pb;66
@@ -99,7 +99,7 @@ hiai_nlu_model.pb;3;1,16:1,16:1,16
 gts_object_detect_Ics.pb;1;420,630,3;;input_dependent
 hiai_transformer_encoder.pb;15
 decoder_step_nocumsum_v5.pb;13;1:1,512:1,1429,2:1,127:1,127:1,127:1,127,320:1,80:1,512:1,512:1,512:1,512:1,512
-ml_audio_kit_encoder_v5.pb;6;1,32:1,32:1,32:1,32:1:1
+Modify_Out_ml_audio_kit_encoder_v5.pb;6;1,32:1,32:1,32:1,32:1:1
 hiai_nlu_model_v1.pb;3;1,16:1,16:1,16 2.0
 hiai_nlu_model_v2.pb;7;1,5:1,6:1,174:1,98:1,5:1,5:1,5
 hiai_nlu_model_multi.pb;6;1,32:1,32:1,6:1,11:1,74:1,32
diff --git a/mindspore/lite/test/config/models_tf_fp16.cfg b/mindspore/lite/test/config/models_tf_fp16.cfg
index 3196d0697e3..cde025e2399 100644
--- a/mindspore/lite/test/config/models_tf_fp16.cfg
+++ b/mindspore/lite/test/config/models_tf_fp16.cfg
@@ -81,7 +81,7 @@ ml_video_edit_oneclick_adaptis.pb;3 6
 ml_female_model_step6_noiseout.pb;66 2
 ml_male_model_step6_noiseout.pb;66 2.5
 ml_tts_encoder_control_flow.pb;4;1:1,22:1:1 1.5
-ml_tts_decoder_control_flow.pb;5 1
+Modify_Out_ml_tts_decoder_control_flow.pb;5 1
 ml_tts_decoder.pb;5 2.5
 ml_tts_vocoder.pb;66 53
 hiai_transformer_encoder.pb;15 4
diff --git a/mindspore/lite/test/config/models_tflite.cfg b/mindspore/lite/test/config/models_tflite.cfg
index b8a38de085e..c686294016b 100644
--- a/mindspore/lite/test/config/models_tflite.cfg
+++ b/mindspore/lite/test/config/models_tflite.cfg
@@ -1,11 +1,11 @@
-hiai_model_0909_kd_rot_ps_softmax.tflite
-hiai_chinese_english_recognize_model_float32.tflite
-hiai_bigmodel_ghost_2_1_no_normalized_no_trans_tflite.tflite
-hiai_bigmodel_ghost_5_1_no_normalized_no_trans_tflite.tflite
-hiai_cn_recognize_modify_padv2.tflite
-hiai_model_normalize_object_scene_ps_20200519.tflite
-mtk_AADB_HADB_MBV2_model_fp32.tflite
-mtk_AADB_HADB_MBV3_model_fp32.tflite
+Modify_Out_hiai_model_0909_kd_rot_ps_softmax.tflite
+Modify_Out_hiai_chinese_english_recognize_model_float32.tflite
+Modify_Out_hiai_bigmodel_ghost_2_1_no_normalized_no_trans_tflite.tflite
+Modify_Out_hiai_bigmodel_ghost_5_1_no_normalized_no_trans_tflite.tflite
+Modify_Out_hiai_cn_recognize_modify_padv2.tflite
+Modify_Out_hiai_model_normalize_object_scene_ps_20200519.tflite
+#mtk_AADB_HADB_MBV2_model_fp32.tflite The model has three outputs, but the benchmark file has one output only.
+Modify_Out_mtk_AADB_HADB_MBV3_model_fp32.tflite
 mobilenet_v1_0.25_128.tflite
 mobilenet_v1_0.25_160.tflite
 mobilenet_v1_0.25_192.tflite
@@ -112,7 +112,7 @@ lite-model_deeplabv3-mobilenetv2-float16_1_default_1.tflite
 lite-model_east-text-detector_fp16_1.tflite
 lite-model_cartoongan_fp16_1.tflite
 lite-model_arbitrary-image-stylization-inceptionv3_fp16_predict_1.tflite
-gts_detect_5k_tf115.tflite
+Modify_Out_gts_detect_5k_tf115.tflite
 mtk_isface.tflite
 mtk_landmark.tflite
 mtk_new_detect.tflite
@@ -182,13 +182,13 @@ Q_iMaxSR_RGB_385_p_pb2tflite.tflite
 bloom_new_detect.tflite
 bloom_model_age_gender.tflite
 bloom_isface.tflite
-hiai_object_detect_814.tflite
-hiai_object_tflite_graph_8bit.tflite
+Modify_Out_hiai_object_detect_814.tflite
+Modify_Out_hiai_object_tflite_graph_8bit.tflite
 lma_tsec_shallow_channels16_ds2.1.1_model-best-f1.tflite
 lite-model_arbitrary-image-stylization-inceptionv3_fp16_transfer_1.tflite;2
 magenta_arbitrary-image-stylization-v1-256_fp16_transfer_1.tflite;2
-albert_lite_base_squadv1_1.tflite;3
-mobilebert_1_default_1.tflite;3
+Modify_Out_albert_lite_base_squadv1_1.tflite;3
+Modify_Out_mobilebert_1_default_1.tflite;3
 ml_video_edit_img_segment_adaptise_pb2tflite.tflite;2
 ml_video_edit_video_segment_gauss_adaptis_part2_pb2tflite.tflite;2
 hdc_tb_cn_neg.tflite;3
@@ -196,7 +196,7 @@ hiai_cv_labelDetectorModel_v3.tflite;2
 ml_tacotron_decoder_step_stf.tflite;9;1,80:1,256:1,1024:1,1024:1,1024:1,1024:1,8:1,1,256:1
 ml_headpose_pb2tflite.tflite;3;16:1,64,64,3:16
 ml_ei_headpose_pb2tflite.tflite;3;16:1,64,64,3:16
-lite-model_albert_lite_base_squadv1_metadata_1.tflite;3
-lite-model_mobilebert_1_metadata_1.tflite;3
+Modify_Out_lite-model_albert_lite_base_squadv1_metadata_1.tflite;3
+Modify_Out_lite-model_mobilebert_1_metadata_1.tflite;3
 hiai_vad.tflite;2
 add_uint8.tflite;2
diff --git a/mindspore/lite/test/config/models_tflite_awaretraining.cfg b/mindspore/lite/test/config/models_tflite_awaretraining.cfg
index 38584226a44..1a41a420d99 100644
--- a/mindspore/lite/test/config/models_tflite_awaretraining.cfg
+++ b/mindspore/lite/test/config/models_tflite_awaretraining.cfg
@@ -33,9 +33,9 @@ lite-model_on_device_vision_classifier_landmarks_classifier_oceania_antarctica_V
 lite-model_on_device_vision_classifier_landmarks_classifier_europe_V1_1.tflite
 lite-model_on_device_vision_classifier_landmarks_classifier_south_america_V1_1.tflite
 vision_classifier_fungi_mobile_V1_1_default_1.tflite
-detect.tflite
-ssd_mobilenet_v1_1_default_1.tflite
-object_detection_mobile_object_localizer_v1_1_default_1.tflite
-gts_detect_0730_quant_frozen.tflite
+Modify_Out_detect.tflite
+Modify_Out_ssd_mobilenet_v1_1_default_1.tflite
+Modify_Out_object_detection_mobile_object_localizer_v1_1_default_1.tflite
+Modify_Out_gts_detect_0730_quant_frozen.tflite
 gts_model_quant_frozen.tflite
 inception_v2_224_quant.tflite
diff --git a/mindspore/lite/test/config/models_tflite_fp16.cfg b/mindspore/lite/test/config/models_tflite_fp16.cfg
index 24d175ad9ee..96fa5393e2a 100644
--- a/mindspore/lite/test/config/models_tflite_fp16.cfg
+++ b/mindspore/lite/test/config/models_tflite_fp16.cfg
@@ -1,7 +1,7 @@
 # [first column]:model_name;input_num;input_shape;threads;extra_info. If there is no need to set these parameters, the
 #                content after ";" can be omitted.
 # [second column]:accuracy limit for float16 in arm64 device
-hiai_model_0909_kd_rot_ps_softmax.tflite 10
+Modify_Out_hiai_model_0909_kd_rot_ps_softmax.tflite 10
 hiai_chinese_english_recognize_model_float32.tflite 13
 hiai_bigmodel_ghost_2_1_no_normalized_no_trans_tflite.tflite 10
 hiai_bigmodel_ghost_5_1_no_normalized_no_trans_tflite.tflite 10
@@ -121,7 +121,7 @@ lite-model_deeplabv3-mobilenetv2-float16_1_default_1.tflite 60
 lite-model_east-text-detector_fp16_1.tflite 60
 lite-model_cartoongan_fp16_1.tflite 3
 lite-model_arbitrary-image-stylization-inceptionv3_fp16_predict_1.tflite 6
-gts_detect_5k_tf115.tflite 9.5
+Modify_Out_gts_detect_5k_tf115.tflite 9.5
 mtk_isface.tflite 0.2
 mtk_landmark.tflite 0.3
 mtk_new_detect.tflite 3
@@ -212,7 +212,7 @@ bloom_model_age_gender.tflite 0.5
 bloom_isface.tflite 0.5
 # The output values of conv layers range from -e±5 to e±5, which almost reaches the representation limit of fp16. In
 # this range, the fp16 data will has big bias. And the accumulation of this bias lowers the final precision.
-hiai_object_detect_814.tflite 14
+Modify_Out_hiai_object_detect_814.tflite 14
 ml_video_edit_video_segment_gauss_adaptis_part2_pb2tflite.tflite;2 11
 ml_video_edit_img_segment_adaptise_pb2tflite.tflite;2 0.5
 hdc_tb_cn_neg.tflite;3 295
diff --git a/mindspore/lite/test/st/graph_test.cc b/mindspore/lite/test/st/graph_test.cc
index 261d8926046..87669f01d91 100644
--- a/mindspore/lite/test/st/graph_test.cc
+++ b/mindspore/lite/test/st/graph_test.cc
@@ -82,7 +82,7 @@ TEST_F(GraphTest, UserSetGraphOutput1) {
     string name = out_data.first;
     void *data = out_data.second;
     float *fp32_data = reinterpret_cast<float *>(data);
-    if (name == "Stack-8") {
+    if (name == "output") {
       output_count++;
       ASSERT_LE(fabs(fp32_data[0] - (0.115831)), 0.01);
       ASSERT_LE(fabs(fp32_data[1] - (0.113074)), 0.01);
@@ -90,7 +90,7 @@ TEST_F(GraphTest, UserSetGraphOutput1) {
       ASSERT_LE(fabs(fp32_data[3] - (0.346307)), 0.01);
       ASSERT_LE(fabs(fp32_data[4] - (-0.15687)), 0.01);
     }
-    if (name == "Stack-10") {
+    if (name == "output2") {
       output_count++;
       ASSERT_LE(fabs(fp32_data[0] - (0.06387864)), 0.01);
       ASSERT_LE(fabs(fp32_data[1] - (0.22883008)), 0.01);
@@ -98,7 +98,7 @@ TEST_F(GraphTest, UserSetGraphOutput1) {
       ASSERT_LE(fabs(fp32_data[3] - (0.04586578)), 0.01);
       ASSERT_LE(fabs(fp32_data[4] - (0.06820235)), 0.01);
     }
-    if (name == "Stack-13") {
+    if (name == "output3") {
       output_count++;
       ASSERT_LE(fabs(fp32_data[0] - (-0.1617176)), 0.01);
       ASSERT_LE(fabs(fp32_data[1] - (-0.3828573)), 0.01);
diff --git a/mindspore/lite/tools/anf_exporter/anf_exporter.cc b/mindspore/lite/tools/anf_exporter/anf_exporter.cc
index 6b47b190fd9..d49f686fabb 100644
--- a/mindspore/lite/tools/anf_exporter/anf_exporter.cc
+++ b/mindspore/lite/tools/anf_exporter/anf_exporter.cc
@@ -532,8 +532,12 @@ int AnfExporter::SetMetaGraphOutput(const FuncGraphPtr &func_graph,
   auto &final_meta_graph = meta_graphT->subGraph.at(final_meta_graph_index);
   meta_graphT->outputIndex.assign(final_meta_graph->outputIndices.begin(), final_meta_graph->outputIndices.end());
 
-  for (auto &output_index : meta_graphT->outputIndex) {
-    auto &tensor = meta_graphT->allTensors.at(output_index);
+  // set output tensor names to the original names, the output_names is null in nnie converter.
+  auto output_names = ConverterContext::GetInstance()->GetGraphOutputTensorNames();
+  MS_ASSERT(output_names.size() == meta_graphT->outputIndex.size());
+  for (size_t idx = 0; idx < output_names.size(); idx++) {
+    auto &tensor = meta_graphT->allTensors.at(meta_graphT->outputIndex.at(idx));
+    tensor->name = output_names.at(idx);
     ConverterContext::GetInstance()->UpdateGraphOutputDType(meta_graphT->outputIndex.size(), tensor->dataType);
   }
 
diff --git a/mindspore/lite/tools/common/node_util.cc b/mindspore/lite/tools/common/node_util.cc
index 65d6a8659e9..f97c7c68904 100644
--- a/mindspore/lite/tools/common/node_util.cc
+++ b/mindspore/lite/tools/common/node_util.cc
@@ -335,5 +335,23 @@ size_t GetCNodeOutputsSize(const std::shared_ptr<AnfNode> &anf_node, bool train_
     return 1;
   }
 }
+
+STATUS GetInputIndexOfTupleGetItem(const AnfNodePtr &node, int *index) {
+  MS_ASSERT(node != nullptr);
+  if (!opt::CheckPrimitiveType(node, prim::kPrimTupleGetItem)) {
+    MS_LOG(ERROR) << "The node is not a tupleGetItem node.";
+    return RET_ERROR;
+  }
+  auto index_vnode = node->cast<CNodePtr>()->input(2);
+  if (!utils::isa<ValueNodePtr>(index_vnode)) {
+    MS_LOG(ERROR) << "TupleGetItem's input 2 is not a valueNode.";
+    return RET_ERROR;
+  }
+  auto value_node = utils::cast<ValueNodePtr>(index_vnode);
+  MS_ASSERT(value_node != nullptr);
+  *index = value_node->value()->type()->number_type() == kNumberTypeInt64 ? GetValue<int64_t>(value_node->value())
+                                                                          : GetValue<int>(value_node->value());
+  return RET_OK;
+}
 }  // namespace lite
 }  // namespace mindspore
diff --git a/mindspore/lite/tools/common/node_util.h b/mindspore/lite/tools/common/node_util.h
index 6a2f1a560ae..d7ae0f28c76 100644
--- a/mindspore/lite/tools/common/node_util.h
+++ b/mindspore/lite/tools/common/node_util.h
@@ -413,6 +413,8 @@ static STATUS TransFilterFormat(schema::TensorT *tensor, kTransFilterType type)
 STATUS TransFilterFormat(schema::TensorT *tensor, schema::Format dstFormat);
 
 size_t GetCNodeOutputsSize(const std::shared_ptr<AnfNode> &anf_node, bool train_flag = false);
+
+STATUS GetInputIndexOfTupleGetItem(const AnfNodePtr &node, int *index);
 }  // namespace lite
 }  // namespace mindspore
 #endif  // MINDSPORE_LITE_TOOLS_COMMON_NODE_UTIL_H
diff --git a/mindspore/lite/tools/converter/CMakeLists.txt b/mindspore/lite/tools/converter/CMakeLists.txt
index d2527767bb5..8113a8da97c 100644
--- a/mindspore/lite/tools/converter/CMakeLists.txt
+++ b/mindspore/lite/tools/converter/CMakeLists.txt
@@ -62,7 +62,6 @@ file(GLOB_RECURSE CONVERTER_SRC RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}
         ../optimizer/fusion/conv_bn_fusion.cc
         ../optimizer/fusion/conv_tuplegetitem_fusion.cc
         ../optimizer/fusion/constant_folding_fusion.cc
-        ../optimizer/fusion/quant_dtype_cast_fusion.cc
         ../optimizer/fusion/norm_fusion.cc
         ../optimizer/fusion/batchmatmul_fusion.cc
         ../optimizer/fusion/sigmoid_mul_fusion.cc
diff --git a/mindspore/lite/tools/converter/converter_context.h b/mindspore/lite/tools/converter/converter_context.h
index 87845b8347b..3d8b02b01e0 100644
--- a/mindspore/lite/tools/converter/converter_context.h
+++ b/mindspore/lite/tools/converter/converter_context.h
@@ -106,6 +106,11 @@ class ConverterContext {
   }
   size_t GetGraphInputTensorShapeMapSize() { return graph_input_tensor_shape_map_.size(); }
 
+  void SetGraphOutputTensorNames(const std::vector<std::string> &output_names) {
+    graph_output_tensor_names_ = output_names;
+  }
+  const std::vector<std::string> GetGraphOutputTensorNames() { return graph_output_tensor_names_; }
+
  private:
   ConverterContext() {}
   virtual ~ConverterContext() = default;
@@ -113,6 +118,7 @@ class ConverterContext {
   std::map<int32_t, int32_t> graph_input_data_type_map_;
   std::map<int32_t, int32_t> graph_output_data_type_map_;
   std::map<std::string, std::vector<int64_t>> graph_input_tensor_shape_map_;
+  std::vector<std::string> graph_output_tensor_names_;
 };
 }  // namespace lite
 }  // namespace mindspore
diff --git a/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.cc b/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.cc
index fabbe6ffa26..90cd9b8e835 100644
--- a/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.cc
+++ b/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.cc
@@ -53,8 +53,9 @@ STATUS CaffeInspector::FindGraphInputsAndOutputs() {
     }
   }
   for (const auto &iter : layerTops) {
-    if (layerBottoms.find(iter) == layerBottoms.end()) {
-      graphOutput.insert(iter);
+    if (layerBottoms.find(iter) == layerBottoms.end() &&
+        std::find(graphOutput.begin(), graphOutput.end(), iter) == graphOutput.end()) {
+      graphOutput.push_back(iter);
     }
   }
   return RET_OK;
diff --git a/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.h b/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.h
index bb2a6dffeec..df3e7ce266f 100644
--- a/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.h
+++ b/mindspore/lite/tools/converter/parser/caffe/caffe_inspector.h
@@ -21,6 +21,7 @@
 #include <string>
 #include <unordered_map>
 #include <memory>
+#include <vector>
 #include "proto/caffe.pb.h"
 #include "include/errorcode.h"
 
@@ -37,7 +38,7 @@ class CaffeInspector {
   STATUS SetLayerTopsAndBottoms();
 
   std::set<std::string> GetGraphInput() { return graphInput; }
-  std::set<std::string> GetGraphOutput() { return graphOutput; }
+  std::vector<std::string> GetGraphOutput() { return graphOutput; }
 
  private:
   caffe::NetParameter net;
@@ -46,7 +47,7 @@ class CaffeInspector {
   std::set<std::string> layerBottoms;
 
   std::set<std::string> graphInput;
-  std::set<std::string> graphOutput;
+  std::vector<std::string> graphOutput;
 };
 
 using CaffeInspectorPtr = std::shared_ptr<CaffeInspector>;
diff --git a/mindspore/lite/tools/converter/parser/caffe/caffe_model_parser.cc b/mindspore/lite/tools/converter/parser/caffe/caffe_model_parser.cc
index ce37b79378c..1c680692748 100644
--- a/mindspore/lite/tools/converter/parser/caffe/caffe_model_parser.cc
+++ b/mindspore/lite/tools/converter/parser/caffe/caffe_model_parser.cc
@@ -385,11 +385,11 @@ STATUS CaffeModelParser::ConvertGraphOutputs() {
     }
     auto valueNode = NewValueNode(returnPrim);
     std::vector<AnfNodePtr> opInputs{valueNode};
-    if (nodes_.find(*caffeInspector.GetGraphOutput().begin()) == nodes_.end()) {
+    if (nodes_.find(caffeInspector.GetGraphOutput().front()) == nodes_.end()) {
       MS_LOG(ERROR) << "Can't find input node.";
       return RET_NOT_FIND_OP;
     }
-    auto cnode = nodes_.find(*caffeInspector.GetGraphOutput().begin())->second;
+    auto cnode = nodes_.find(caffeInspector.GetGraphOutput().front())->second;
     if (cnode == nullptr) {
       MS_LOG(ERROR) << "Can't find input node.";
       return RET_NOT_FIND_OP;
@@ -399,6 +399,8 @@ STATUS CaffeModelParser::ConvertGraphOutputs() {
     returnCnode->set_fullname_with_scope("Return");
     res_graph_->set_return(returnCnode);
   }
+  // save original output tensor names.
+  ConverterContext::GetInstance()->SetGraphOutputTensorNames(caffeInspector.GetGraphOutput());
   return RET_OK;
 }
 
diff --git a/mindspore/lite/tools/converter/parser/onnx/onnx_model_parser.cc b/mindspore/lite/tools/converter/parser/onnx/onnx_model_parser.cc
index 0a510a19a3e..5691c1888b3 100644
--- a/mindspore/lite/tools/converter/parser/onnx/onnx_model_parser.cc
+++ b/mindspore/lite/tools/converter/parser/onnx/onnx_model_parser.cc
@@ -157,6 +157,13 @@ STATUS OnnxModelParser::ConvertOnnxGraph(const onnx::GraphProto &onnx_graph, con
     MS_LOG(ERROR) << "convert graph outputs failed.";
     return RET_ERROR;
   }
+  // save original output tensor names.
+  if (root_node_name == "root_node") {
+    std::vector<std::string> output_names;
+    std::transform(onnx_graph.output().begin(), onnx_graph.output().end(), std::back_inserter(output_names),
+                   [](auto &graph_output) { return graph_output.name(); });
+    ConverterContext::GetInstance()->SetGraphOutputTensorNames(output_names);
+  }
   return status;
 }
 STATUS OnnxModelParser::ConvertConstTensors(const onnx::GraphProto &onnx_graph, const FuncGraphPtr &func_graph_ptr,
diff --git a/mindspore/lite/tools/converter/parser/tf/tf_model_parser.cc b/mindspore/lite/tools/converter/parser/tf/tf_model_parser.cc
index 24884155e1c..7bafc2c07d5 100644
--- a/mindspore/lite/tools/converter/parser/tf/tf_model_parser.cc
+++ b/mindspore/lite/tools/converter/parser/tf/tf_model_parser.cc
@@ -33,6 +33,7 @@
 #include "tools/converter/parser/tf/functionalize_control_op_pass.h"
 #include "tools/converter/parser/parser_utils.h"
 #include "tools/common/tensor_util.h"
+#include "tools/common/node_util.h"
 #include "tools/converter/parser/unify_format.h"
 
 using mindspore::lite::converter::FmkType_TF;
@@ -1054,7 +1055,18 @@ STATUS TFModelParser::ConvertRootGraphOutputs() {
           return RET_ERROR;
         }
         output_nodes.push_back(anf_node);
-        graph_output_names_.push_back(anf_node->fullname_with_scope());
+        auto name = anf_node->fullname_with_scope();
+        if (utils::isa<CNodePtr>(anf_node) && opt::CheckPrimitiveType(anf_node, prim::kPrimTupleGetItem)) {
+          int index = 0;
+          if (GetInputIndexOfTupleGetItem(anf_node, &index) != RET_OK) {
+            MS_LOG(ERROR) << "Get input index of tupleGetItem failed.";
+            return RET_ERROR;
+          }
+          auto in_node = anf_node->cast<CNodePtr>()->input(1);
+          MS_ASSERT(in_node != nullptr);
+          name = in_node->fullname_with_scope() + ":" + std::to_string(index);
+        }
+        graph_output_names_.push_back(name);
       }
     }
   }
@@ -1063,6 +1075,8 @@ STATUS TFModelParser::ConvertRootGraphOutputs() {
     MS_LOG(ERROR) << "make anf graph outputs node error";
     return status;
   }
+  // save original output tensor names.
+  ConverterContext::GetInstance()->SetGraphOutputTensorNames(graph_output_names_);
   return RET_OK;
 }
 STATUS TFModelParser::MakeAnfGraphOutputs(std::vector<AnfNodePtr> *output_nodes, const FuncGraphPtr &anf_graph) {
diff --git a/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc b/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc
index c7770fae755..8a0ef87afdb 100644
--- a/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc
+++ b/mindspore/lite/tools/converter/parser/tflite/tflite_model_parser.cc
@@ -398,6 +398,12 @@ STATUS TfliteModelParser::ConvertGraphOutputs() {
     returnCnode->set_fullname_with_scope("Return");
     res_graph_->set_return(returnCnode);
   }
+  // save original output tensor names.
+  std::vector<std::string> output_names;
+  auto output_idx = tflite_subgraph->outputs;
+  std::transform(output_idx.begin(), output_idx.end(), std::back_inserter(output_names),
+                 [&](auto out_idx) { return tflite_subgraph->tensors.at(out_idx)->name; });
+  ConverterContext::GetInstance()->SetGraphOutputTensorNames(output_names);
   return RET_OK;
 }
 
diff --git a/mindspore/lite/tools/optimizer/fusion/pooling_activation_fusion.cc b/mindspore/lite/tools/optimizer/fusion/pooling_activation_fusion.cc
deleted file mode 100644
index a97d40ab8bf..00000000000
--- a/mindspore/lite/tools/optimizer/fusion/pooling_activation_fusion.cc
+++ /dev/null
@@ -1,77 +0,0 @@
-/**
- * Copyright 2020-2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "tools/optimizer/fusion/pooling_activation_fusion.h"
-#include <memory>
-#include "src/ops/pooling.h"
-#include "src/ops/activation.h"
-#include "schema/inner/model_generated.h"
-#include "tools/optimizer/common/gllo_utils.h"
-
-namespace mindspore::opt {
-namespace {
-constexpr size_t kActivationInputsLength = 2;
-}
-const BaseRef PoolingActivationFusion::DefinePattern() const {
-  auto pooling_var = std::make_shared<CondVar>(IsPoolingNode);
-  auto prim = new (std::nothrow) schema::PrimitiveT();
-  if (prim == nullptr) {
-    MS_LOG(ERROR) << "new primitiveT failed";
-    return nullptr;
-  }
-  prim->value.type = primitive_type;
-  auto prim_value = std::make_shared<lite::PrimitiveC>(prim);
-  return VectorRef({prim_value, pooling_var});
-}
-
-const AnfNodePtr PoolingActivationFusion::Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node,
-                                                  const EquivPtr &) const {
-  MS_ASSERT(func_graph != nullptr);
-  MS_ASSERT(node != nullptr);
-  MS_LOG(DEBUG) << "pooling activation pass process:" << schema::EnumNamesPrimitiveType()[primitive_type];
-  CheckIfFuncGraphIsNull(func_graph);
-  CheckIfAnfNodeIsNull(node);
-  auto act_node = node->cast<CNodePtr>();
-  CheckIfCNodeIsNull(act_node);
-  CheckInputSize(act_node, kActivationInputsLength);
-
-  auto primitivec = GetValueNode<std::shared_ptr<lite::PrimitiveC>>(act_node->input(0));
-  MS_ASSERT(utils::isa<std::shared_ptr<mindspore::lite::Activation>>(primitivec));
-  auto act_primitivec = utils::cast<std::shared_ptr<mindspore::lite::Activation>>(primitivec);
-  MS_ASSERT(act_primitivec != nullptr);
-  if (act_primitivec->GetType() != activation_type) {
-    return node;
-  }
-  AnfNodePtr pre_node = act_node->input(1);
-  CheckIfAnfNodeIsNull(pre_node);
-  if (pre_node != nullptr && pre_node->isa<CNode>()) {
-    if (IsMultiOutputTensors(func_graph, pre_node)) {
-      return node;
-    }
-    auto pooling_node = pre_node->cast<CNodePtr>();
-    auto primitive_c = GetValueNode<std::shared_ptr<lite::PrimitiveC>>(pooling_node->input(0));
-
-    MS_ASSERT(utils::isa<std::shared_ptr<mindspore::lite::Pooling>>(primitive_c));
-    auto primc = utils::cast<std::shared_ptr<mindspore::lite::Pooling>>(primitive_c);
-    MS_ASSERT(primc != nullptr);
-    if (primc->GetActivationType() == schema::ActivationType_NO_ACTIVATION) {
-      primc->SetActivationType(activation_type);
-      return pre_node;
-    }
-  }
-  return node;
-}
-}  // namespace mindspore::opt
diff --git a/mindspore/lite/tools/optimizer/fusion/quant_dtype_cast_fusion.cc b/mindspore/lite/tools/optimizer/fusion/quant_dtype_cast_fusion.cc
deleted file mode 100644
index e811f7361de..00000000000
--- a/mindspore/lite/tools/optimizer/fusion/quant_dtype_cast_fusion.cc
+++ /dev/null
@@ -1,48 +0,0 @@
-/**
- * Copyright 2019-2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#include "tools/optimizer/fusion/quant_dtype_cast_fusion.h"
-#include <memory>
-#include "tools/optimizer/common/gllo_utils.h"
-namespace mindspore::opt {
-namespace {
-constexpr size_t kActivationInputsLength = 2;
-}
-const BaseRef QuantDtypeCastFusion::DefinePattern() const {
-  auto quant_var = std::make_shared<CondVar>(IsQuantNode);
-  auto input_var = std::make_shared<Var>();
-  return VectorRef({quant_var, input_var});
-}
-
-const AnfNodePtr QuantDtypeCastFusion::Process(const FuncGraphPtr &func_graph, const AnfNodePtr &node,
-                                               const EquivPtr &) const {
-  MS_ASSERT(func_graph != nullptr);
-  MS_ASSERT(node != nullptr);
-  MS_LOG(DEBUG) << "quant dtype cast fusion pass process";
-  if (CheckIfFuncGraphIsNull(func_graph) != lite::RET_OK || CheckIfAnfNodeIsNull(node) != lite::RET_OK) {
-    return nullptr;
-  }
-  auto act_node = node->cast<CNodePtr>();
-  if (CheckIfCNodeIsNull(act_node) != lite::RET_OK ||
-      CheckInputSize(act_node, kActivationInputsLength) != lite::RET_OK) {
-    return nullptr;
-  }
-  AnfNodePtr pre_node = act_node->input(1);
-  if (CheckIfAnfNodeIsNull(pre_node) != lite::RET_OK) {
-    return nullptr;
-  }
-  return pre_node;
-}
-}  // namespace mindspore::opt
diff --git a/mindspore/lite/tools/optimizer/fusion/quant_dtype_cast_fusion.h b/mindspore/lite/tools/optimizer/fusion/quant_dtype_cast_fusion.h
deleted file mode 100644
index b60153b99ce..00000000000
--- a/mindspore/lite/tools/optimizer/fusion/quant_dtype_cast_fusion.h
+++ /dev/null
@@ -1,34 +0,0 @@
-/**
- * Copyright 2019-2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#ifndef LITE_QUANT_DTYPE_CAST_FUSION_H
-#define LITE_QUANT_DTYPE_CAST_FUSION_H
-
-#include <string>
-#include "backend/optimizer/common/optimizer.h"
-
-namespace mindspore {
-namespace opt {
-class QuantDtypeCastFusion : public PatternProcessPass {
- public:
-  explicit QuantDtypeCastFusion(bool multigraph = true, const std::string &name = "quant_dtype_cast_fusion")
-      : PatternProcessPass(name, multigraph) {}
-  ~QuantDtypeCastFusion() override = default;
-  const BaseRef DefinePattern() const override;
-  const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override;
-};
-}  // namespace opt
-}  // namespace mindspore
-#endif  // LITE_QUANT_DTYPE_CAST_FUSION_H