diff --git a/routers/repo/ai_model_convert.go b/routers/repo/ai_model_convert.go
index 72dffc1e4..85824ee01 100644
--- a/routers/repo/ai_model_convert.go
+++ b/routers/repo/ai_model_convert.go
@@ -36,9 +36,10 @@ const (
 	Success                    = "S000"
 	GPU_PYTORCH_IMAGE          = "dockerhub.pcl.ac.cn:5000/user-images/openi:tensorRT_7_zouap"
 
-	PytorchBootFile    = "convert_pytorch.py"
-	MindsporeBootFile  = "convert_mindspore.py"
-	TensorFlowBootFile = "convert_tensorflow.py"
+	PytorchBootFile       = "convert_pytorch.py"
+	MindsporeBootFile     = "convert_mindspore.py"
+	TensorFlowNpuBootFile = "convert_tensorflow.py"
+	TensorFlowGpuBootFile = "convert_tensorflow_gpu.py"
 
 	ConvertRepoPath = "https://git.openi.org.cn/zouap/npu_test"
 
@@ -98,7 +99,7 @@ func SaveModelConvert(ctx *context.Context) {
 		UserId:          ctx.User.ID,
 	}
 	models.SaveModelConvert(modelConvert)
-	if modelConvert.SrcEngine == PYTORCH_ENGINE {
+	if modelConvert.SrcEngine == PYTORCH_ENGINE || modelConvert.SrcEngine == TENSORFLOW_ENGINE {
 		err = createGpuTrainJob(modelConvert, ctx, task.Path)
 	} else {
 		//create npu job
@@ -188,7 +189,7 @@ func createNpuTrainJob(modelConvert *models.AiModelConvert, ctx *context.Context
 	bootfile := MindsporeBootFile
 	if modelConvert.SrcEngine == TENSORFLOW_ENGINE {
 		engineId = int64(NPU_TENSORFLOW_IMAGE_ID)
-		bootfile = TensorFlowBootFile
+		bootfile = TensorFlowNpuBootFile
 	}
 	req := &modelarts.GenerateTrainJobReq{
 		JobName:          modelConvert.ID,
@@ -265,7 +266,9 @@ func downloadConvertCode(repopath string, codePath, branchName string) error {
 func createGpuTrainJob(modelConvert *models.AiModelConvert, ctx *context.Context, modelRelativePath string) error {
 	command := ""
 	if modelConvert.SrcEngine == PYTORCH_ENGINE {
-		command = getPytorchModelConvertCommand(modelConvert.ID, modelConvert.ModelPath, modelConvert)
+		command = getGpuModelConvertCommand(modelConvert.ID, modelConvert.ModelPath, modelConvert, PytorchBootFile)
+	} else if modelConvert.SrcEngine == TENSORFLOW_ENGINE {
+		command = getGpuModelConvertCommand(modelConvert.ID, modelConvert.ModelPath, modelConvert, TensorFlowGpuBootFile)
 	}
 	log.Info("command=" + command)
 
@@ -353,7 +356,7 @@ func createGpuTrainJob(modelConvert *models.AiModelConvert, ctx *context.Context
 	return nil
 }
 
-func getPytorchModelConvertCommand(name string, modelFile string, modelConvert *models.AiModelConvert) string {
+func getGpuModelConvertCommand(name string, modelFile string, modelConvert *models.AiModelConvert, bootfile string) string {
 	var command string
 
 	intputshape := strings.Split(modelConvert.InputShape, ",")
@@ -367,7 +370,7 @@ func getPytorchModelConvertCommand(name string, modelFile string, modelConvert *
 		h = intputshape[2]
 		w = intputshape[3]
 	}
-	command += "python3 /code/" + PytorchBootFile + " --model " + modelFile + " --n " + n + " --c " + c + " --h " + h + " --w " + w + " > " + ModelMountPath + "/" + name + "-" + LogFile
+	command += "python3 /code/" + bootfile + " --model " + modelFile + " --n " + n + " --c " + c + " --h " + h + " --w " + w + " > " + ModelMountPath + "/" + name + "-" + LogFile
 	return command
 }