diff --git a/python/paddle/fluid/install_check.py b/python/paddle/fluid/install_check.py index 42366aad88eea5e5fbb92edeb8f1535cf31e429b..8baedaaf41912448a452f80ec4eb11507556734d 100644 --- a/python/paddle/fluid/install_check.py +++ b/python/paddle/fluid/install_check.py @@ -48,7 +48,7 @@ def run_check(): This func should not be called only if you need to verify installation ''' - print("Running Verify Fluid Program ... ") + print("Running Verify Paddle Program ... ") device_list = [] if core.is_compiled_with_cuda(): @@ -56,7 +56,7 @@ def run_check(): core.get_cuda_device_count() except Exception as e: logging.warning( - "You are using GPU version Paddle Fluid, But Your CUDA Device is not set properly" + "You are using GPU version Paddle, But Your CUDA Device is not set properly" "\n Original Error is {}".format(e)) return 0 device_list = cuda_places() @@ -123,16 +123,16 @@ def run_check(): test_simple_exe() - print("Your Paddle Fluid works well on SINGLE GPU or CPU.") + print("Your Paddle works well on SINGLE GPU or CPU.") try: test_parallerl_exe() - print("Your Paddle Fluid works well on MUTIPLE GPU or CPU.") + print("Your Paddle works well on MUTIPLE GPU or CPU.") print( - "Your Paddle Fluid is installed successfully! Let's start deep Learning with Paddle Fluid now" + "Your Paddle is installed successfully! Let's start deep Learning with Paddle now" ) except Exception as e: logging.warning( - "Your Paddle Fluid has some problem with multiple GPU. This may be caused by:" + "Your Paddle has some problem with multiple GPU. This may be caused by:" "\n 1. There is only 1 or 0 GPU visible on your Device;" "\n 2. No.1 or No.2 GPU or both of them are occupied now" "\n 3. Wrong installation of NVIDIA-NCCL2, please follow instruction on https://github.com/NVIDIA/nccl-tests " @@ -141,5 +141,5 @@ def run_check(): print("\n Original Error is: {}".format(e)) print( - "Your Paddle Fluid is installed successfully ONLY for SINGLE GPU or CPU! " - "\n Let's start deep Learning with Paddle Fluid now") + "Your Paddle is installed successfully ONLY for SINGLE GPU or CPU! " + "\n Let's start deep Learning with Paddle now")