diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
index e016571304..c18cb4063f 100644
--- a/libavfilter/dnn/dnn_backend_tf.c
+++ b/libavfilter/dnn/dnn_backend_tf.c
@@ -330,7 +330,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     TF_OperationDescription *op_desc;
     TF_Output input;
     int64_t strides[] = {1, 1, 1, 1};
-    TF_Tensor *tensor;
+    TF_Tensor *kernel_tensor = NULL, *biases_tensor = NULL;
     int64_t dims[4];
     int dims_len;
     char name_buffer[NAME_BUFFER_SIZE];
@@ -347,17 +347,15 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     dims[2] = params->kernel_size;
     dims[3] = params->input_num;
     dims_len = 4;
-    tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, size * sizeof(float));
-    memcpy(TF_TensorData(tensor), params->kernel, size * sizeof(float));
-    TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
+    kernel_tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, size * sizeof(float));
+    memcpy(TF_TensorData(kernel_tensor), params->kernel, size * sizeof(float));
+    TF_SetAttrTensor(op_desc, "value", kernel_tensor, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to set value for kernel of conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
     op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to add kernel to conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
 
     snprintf(name_buffer, NAME_BUFFER_SIZE, "transpose%d", layer);
@@ -370,8 +368,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     TF_SetAttrType(op_desc, "Tperm", TF_INT32);
     op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to add transpose to conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
 
     snprintf(name_buffer, NAME_BUFFER_SIZE, "conv2d%d", layer);
@@ -385,8 +382,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     TF_SetAttrString(op_desc, "padding", "VALID", 5);
     *cur_op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to add conv2d to conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
 
     snprintf(name_buffer, NAME_BUFFER_SIZE, "conv_biases%d", layer);
@@ -394,17 +390,15 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     TF_SetAttrType(op_desc, "dtype", TF_FLOAT);
     dims[0] = params->output_num;
     dims_len = 1;
-    tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, params->output_num * sizeof(float));
-    memcpy(TF_TensorData(tensor), params->biases, params->output_num * sizeof(float));
-    TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
+    biases_tensor = TF_AllocateTensor(TF_FLOAT, dims, dims_len, params->output_num * sizeof(float));
+    memcpy(TF_TensorData(biases_tensor), params->biases, params->output_num * sizeof(float));
+    TF_SetAttrTensor(op_desc, "value", biases_tensor, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to set value for conv_biases of conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
     op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to add conv_biases to conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
 
     snprintf(name_buffer, NAME_BUFFER_SIZE, "bias_add%d", layer);
@@ -416,8 +410,7 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     TF_SetAttrType(op_desc, "T", TF_FLOAT);
     *cur_op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to add bias_add to conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
 
     snprintf(name_buffer, NAME_BUFFER_SIZE, "activation%d", layer);
@@ -440,11 +433,15 @@ static DNNReturnType add_conv_layer(TFModel *tf_model, TF_Operation *transpose_o
     TF_SetAttrType(op_desc, "T", TF_FLOAT);
     *cur_op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
-        av_log(ctx, AV_LOG_ERROR, "Failed to add activation function to conv layer %d\n", layer);
-        return DNN_ERROR;
+        goto err;
     }
 
     return DNN_SUCCESS;
+err:
+    TF_DeleteTensor(kernel_tensor);
+    TF_DeleteTensor(biases_tensor);
+    av_log(ctx, AV_LOG_ERROR, "Failed to add conv layer %d\n", layer);
+    return DNN_ERROR;
 }
 
 static DNNReturnType add_depth_to_space_layer(TFModel *tf_model, TF_Operation **cur_op,
@@ -499,11 +496,13 @@ static DNNReturnType add_pad_layer(TFModel *tf_model, TF_Operation **cur_op,
     pads[7] = params->paddings[3][1];
     TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteTensor(tensor);
         av_log(ctx, AV_LOG_ERROR, "Failed to set value for pad of layer %d\n", layer);
         return DNN_ERROR;
     }
     op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteTensor(tensor);
         av_log(ctx, AV_LOG_ERROR, "Failed to add pad to layer %d\n", layer);
         return DNN_ERROR;
     }
@@ -519,6 +518,7 @@ static DNNReturnType add_pad_layer(TFModel *tf_model, TF_Operation **cur_op,
     TF_SetAttrString(op_desc, "mode", "SYMMETRIC", 9);
     *cur_op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteTensor(tensor);
         av_log(ctx, AV_LOG_ERROR, "Failed to add mirror_pad to layer %d\n", layer);
         return DNN_ERROR;
     }
@@ -546,11 +546,13 @@ static DNNReturnType add_maximum_layer(TFModel *tf_model, TF_Operation **cur_op,
     *y = params->val.y;
     TF_SetAttrTensor(op_desc, "value", tensor, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteTensor(tensor);
         av_log(ctx, AV_LOG_ERROR, "Failed to set value for maximum/y of layer %d", layer);
         return DNN_ERROR;
     }
     op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteTensor(tensor);
         av_log(ctx, AV_LOG_ERROR, "Failed to add maximum/y to layer %d\n", layer);
         return DNN_ERROR;
     }
@@ -565,6 +567,7 @@ static DNNReturnType add_maximum_layer(TFModel *tf_model, TF_Operation **cur_op,
     TF_SetAttrType(op_desc, "T", TF_FLOAT);
     *cur_op = TF_FinishOperation(op_desc, tf_model->status);
     if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteTensor(tensor);
         av_log(ctx, AV_LOG_ERROR, "Failed to add maximum to layer %d\n", layer);
         return DNN_ERROR;
     }
@@ -579,7 +582,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
     TF_OperationDescription *op_desc;
     TF_Operation *op;
     TF_Operation *transpose_op;
-    TF_Tensor *tensor;
+    TF_Tensor *tensor = NULL;
     TF_Output input;
     int32_t *transpose_perm;
     int64_t transpose_perm_shape[] = {4};
@@ -600,6 +603,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
 
 #define CLEANUP_ON_ERROR(tf_model) \
     { \
+        TF_DeleteTensor(tensor); \
         TF_DeleteGraph(tf_model->graph); \
         TF_DeleteStatus(tf_model->status); \
         av_log(ctx, AV_LOG_ERROR, "Failed to set value or add operator to layer\n"); \
@@ -627,6 +631,9 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
         CLEANUP_ON_ERROR(tf_model);
     }
     transpose_op = TF_FinishOperation(op_desc, tf_model->status);
+    if (TF_GetCode(tf_model->status) != TF_OK){
+        CLEANUP_ON_ERROR(tf_model);
+    }
 
     for (layer = 0; layer < native_model->layers_num; ++layer){
         switch (native_model->layers[layer].type){