diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec
index 6a2e51e0f6d6a59a69b3516d83334f9e4c27af1e..d8169fd2deb8c65bde6596fcbd9d8c1e61634263 100644
--- a/paddle/fluid/API.spec
+++ b/paddle/fluid/API.spec
@@ -1015,7 +1015,7 @@ paddle.fluid.dygraph_grad_clip.GradClipByNorm ('paddle.fluid.dygraph_grad_clip.G
 paddle.fluid.dygraph_grad_clip.GradClipByNorm.__init__ (ArgSpec(args=['self', 'clip_norm'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
 paddle.fluid.dygraph_grad_clip.GradClipByGlobalNorm ('paddle.fluid.dygraph_grad_clip.GradClipByGlobalNorm', ('document', 'd1872377e7d7a5fe0dd2e8c42e4c9656'))
 paddle.fluid.dygraph_grad_clip.GradClipByGlobalNorm.__init__ (ArgSpec(args=['self', 'max_global_norm'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
-paddle.fluid.profiler.cuda_profiler (ArgSpec(args=['output_file', 'output_mode', 'config'], varargs=None, keywords=None, defaults=(None, None)), ('document', '49f5db5da13cfd8c069754dd11be3901'))
+paddle.fluid.profiler.cuda_profiler (ArgSpec(args=['output_file', 'output_mode', 'config'], varargs=None, keywords=None, defaults=(None, None)), ('document', '4053b45953807a24e28027dc86829d6c'))
 paddle.fluid.profiler.reset_profiler (ArgSpec(args=[], varargs=None, keywords=None, defaults=None), ('document', 'fd1f25a7a06516ca9a1f4ab0783a4d70'))
 paddle.fluid.profiler.profiler (ArgSpec(args=['state', 'sorted_key', 'profile_path'], varargs=None, keywords=None, defaults=(None, '/tmp/profile')), ('document', 'a2be24e028dffa06ab28cc55a27c59e4'))
 paddle.fluid.profiler.start_profiler (ArgSpec(args=['state'], varargs=None, keywords=None, defaults=None), ('document', '4c192ea399e6e80b1ab47a8265b022a5'))
diff --git a/python/paddle/fluid/profiler.py b/python/paddle/fluid/profiler.py
index b961a6551302bfc9b371744fc432c72217b3b802..b0e168929b46a1dd1410d126e093883d79b99895 100644
--- a/python/paddle/fluid/profiler.py
+++ b/python/paddle/fluid/profiler.py
@@ -43,7 +43,7 @@ def cuda_profiler(output_file, output_mode=None, config=None):
     `output_file` with Key-Value pair format or Comma separated values format.
     The user can set the output mode by `output_mode` argument and set the
     counters/options for profiling by `config` argument. The default config
-    is ['gpustarttimestamp', 'gpustarttimestamp', 'gridsize3d',
+    is ['gpustarttimestamp', 'gpuendtimestamp', 'gridsize3d',
     'threadblocksize', 'streamid', 'enableonstart 0', 'conckerneltrace'].
     Then users can use NVIDIA Visual Profiler
     (https://developer.nvidia.com/nvidia-visual-profiler) tools to load this