fix doc

doc/LOW_PRECISION_DEPLOYMENT.md

@@ -17,7 +17,7 @@ python -m paddle_serving_client.convert --dirname ResNet50_quant
 ```
 Start RPC service, specify the GPU id and precision mode
 ```
-python -m paddle_serving_server.serve --model serving_server --port 9393 --gpu_ids 0 --use_gpu --use_trt --precision int8 
+python -m paddle_serving_server.serve --model serving_server --port 9393 --gpu_ids 0 --use_trt --precision int8 
 ```
 Request the serving service with Client
 ```
@@ -44,4 +44,4 @@ print(fetch_map["score"].reshape(-1))
 ## Reference
 * [PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim)
 * [Deploy the quantized model Using Paddle Inference on Intel CPU](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_x86_cpu_int8.html)
-* [Deploy the quantized model Using Paddle Inference on Nvidia GPU](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_trt.html)
+* [Deploy the quantized model Using Paddle Inference on Nvidia GPU](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_trt.html)
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doc/LOW_PRECISION_DEPLOYMENT_CN.md

@@ -16,7 +16,7 @@ python -m paddle_serving_client.convert --dirname ResNet50_quant
 ```
 启动rpc服务, 设定所选GPU id、部署模型精度
 ```
-python -m paddle_serving_server.serve --model serving_server --port 9393 --gpu_ids 0 --use_gpu --use_trt --precision int8 
+python -m paddle_serving_server.serve --model serving_server --port 9393 --gpu_ids 0 --use_trt --precision int8 
 ```
 使用client进行请求
 ```
@@ -43,4 +43,4 @@ print(fetch_map["score"].reshape(-1))
 ## 参考文档
 * [PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim)
 * PaddleInference Intel CPU部署量化模型[文档](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_x86_cpu_int8.html)
-* PaddleInference NV GPU部署量化模型[文档](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_trt.html)
+* PaddleInference NV GPU部署量化模型[文档](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_trt.html)
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