diff --git a/doc/COMPILE.md b/doc/COMPILE.md
index 79a26f857c5b06dd3da39988879b297ce35db167..a681d7ddc0ce954a4c766ba4fbcf4201f907193b 100755
--- a/doc/COMPILE.md
+++ b/doc/COMPILE.md
@@ -117,13 +117,13 @@ Compared with CPU environment, GPU environment needs to refer to the following t
 | CUDA_CUDART_LIBRARY | The directory where libcudart.so.* is located, usually /usr/local/cuda/lib64/ | Required for all environments | No (/usr/local/cuda/lib64/) |
 | TENSORRT_ROOT | The upper level directory of the directory where libnvinfer.so.* is located, depends on the TensorRT installation directory | Cuda 9.0/10.0 does not need, other needs | No (/usr) |
 
-If not in Docker environment, users can refer to the following execution methods. The specific path is subject to the current environment, and the code is only for reference.TENSORRT_LIBRARY_PATH is related to the TensorRT version and should be set according to the actual situation。For example, in the cuda10.1 environment, the TensorRT version is 6.0 (/usr/local/TensorRT-6.0.1.5/targets/x86_64-linux-gnu/)，In the cuda10.2 environment, the TensorRT version is 7.1 (/usr/local/TensorRT-7.1.3.4/targets/x86_64-linux-gnu/).
+If not in Docker environment, users can refer to the following execution methods. The specific path is subject to the current environment, and the code is only for reference.TENSORRT_LIBRARY_PATH is related to the TensorRT version and should be set according to the actual situation。For example, in the cuda10.1 environment, the TensorRT version is 6.0 (/usr/local/TensorRT6-cuda10.1-cudnn7/targets/x86_64-linux-gnu/)，In the cuda10.2 and cuda11.0 environment, the TensorRT version is 7.1 (/usr/local/TensorRT-7.1.3.4/targets/x86_64-linux-gnu/).
 
 ``` shell
 export CUDA_PATH='/usr/local/cuda'
 export CUDNN_LIBRARY='/usr/local/cuda/lib64/'
 export CUDA_CUDART_LIBRARY="/usr/local/cuda/lib64/"
-export TENSORRT_LIBRARY_PATH="/usr/local/TensorRT-6.0.1.5/targets/x86_64-linux-gnu/"
+export TENSORRT_LIBRARY_PATH="/usr/local/TensorRT6-cuda10.1-cudnn7/targets/x86_64-linux-gnu/"
 
 mkdir server-build-gpu && cd server-build-gpu
 cmake -DPYTHON_INCLUDE_DIR=$PYTHON_INCLUDE_DIR \
diff --git a/doc/COMPILE_CN.md b/doc/COMPILE_CN.md
index 3d04f4c873cb6b6c004c1377cbedaf30c89d9d5e..736597a2777e3245ecdcf85ce1aab26f11ed92e0 100755
--- a/doc/COMPILE_CN.md
+++ b/doc/COMPILE_CN.md
@@ -116,13 +116,13 @@ make -j10
 | CUDA_CUDART_LIBRARY   | libcudart.so.*所在目录，通常为/usr/local/cuda/lib64/ | 全部环境都需要                | 否(/usr/local/cuda/lib64/)                 |
 | TENSORRT_ROOT         | libnvinfer.so.*所在目录的上一级目录，取决于TensorRT安装目录 | Cuda 9.0/10.0不需要，其他需要 | 否(/usr)                 |
 
-非Docker环境下，用户可以参考如下执行方式，具体的路径以当时环境为准，代码仅作为参考。TENSORRT_LIBRARY_PATH和TensorRT版本有关，要根据实际情况设置。例如在cuda10.1环境下TensorRT版本是6.0(/usr/local/TensorRT-6.0.1.5/targets/x86_64-linux-gnu/)，在cuda10.2环境下TensorRT版本是7.1（/usr/local/TensorRT-7.1.3.4/targets/x86_64-linux-gnu/）。
+非Docker环境下，用户可以参考如下执行方式，具体的路径以当时环境为准，代码仅作为参考。TENSORRT_LIBRARY_PATH和TensorRT版本有关，要根据实际情况设置。例如在cuda10.1环境下TensorRT版本是6.0(/usr/local/TensorRT6-cuda10.1-cudnn7/targets/x86_64-linux-gnu/)，在cuda10.2和cuda11.0环境下TensorRT版本是7.1（/usr/local/TensorRT-7.1.3.4/targets/x86_64-linux-gnu/）。
 
 ``` shell
 export CUDA_PATH='/usr/local/cuda'
 export CUDNN_LIBRARY='/usr/local/cuda/lib64/'
 export CUDA_CUDART_LIBRARY="/usr/local/cuda/lib64/"
-export TENSORRT_LIBRARY_PATH="/usr/local/TensorRT-6.0.1.5/targets/x86_64-linux-gnu/"
+export TENSORRT_LIBRARY_PATH="/usr/local/TensorRT6-cuda10.1-cudnn7/targets/x86_64-linux-gnu/"
 
 mkdir server-build-gpu && cd server-build-gpu
 cmake -DPYTHON_INCLUDE_DIR=$PYTHON_INCLUDE_DIR \