@@ -48,15 +48,15 @@ def run_check():
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This func should not be called only if you need to verify installation
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'''
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- print ("Running Verify Fluid Program ... " )
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+ print ("Running Verify Paddle Program ... " )
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device_list = []
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if core .is_compiled_with_cuda ():
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try :
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core .get_cuda_device_count ()
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except Exception as e :
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logging .warning (
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- "You are using GPU version Paddle Fluid , But Your CUDA Device is not set properly"
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+ "You are using GPU version Paddle, But Your CUDA Device is not set properly"
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"\n Original Error is {}" .format (e ))
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return 0
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device_list = cuda_places ()
@@ -123,16 +123,16 @@ def test_simple_exe():
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test_simple_exe ()
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- print ("Your Paddle Fluid works well on SINGLE GPU or CPU." )
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+ print ("Your Paddle works well on SINGLE GPU or CPU." )
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try :
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test_parallerl_exe ()
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- print ("Your Paddle Fluid works well on MUTIPLE GPU or CPU." )
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+ print ("Your Paddle works well on MUTIPLE GPU or CPU." )
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print (
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- "Your Paddle Fluid is installed successfully! Let's start deep Learning with Paddle Fluid now"
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+ "Your Paddle is installed successfully! Let's start deep Learning with Paddle now"
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)
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except Exception as e :
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logging .warning (
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- "Your Paddle Fluid has some problem with multiple GPU. This may be caused by:"
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+ "Your Paddle has some problem with multiple GPU. This may be caused by:"
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"\n 1. There is only 1 or 0 GPU visible on your Device;"
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"\n 2. No.1 or No.2 GPU or both of them are occupied now"
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"\n 3. Wrong installation of NVIDIA-NCCL2, please follow instruction on https://github.com/NVIDIA/nccl-tests "
@@ -141,5 +141,5 @@ def test_simple_exe():
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print ("\n Original Error is: {}" .format (e ))
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print (
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- "Your Paddle Fluid is installed successfully ONLY for SINGLE GPU or CPU! "
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- "\n Let's start deep Learning with Paddle Fluid now" )
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+ "Your Paddle is installed successfully ONLY for SINGLE GPU or CPU! "
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+ "\n Let's start deep Learning with Paddle now" )
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