2025-06-08 12:06:59.072995 GPU 3 63652 test begin: paddle.std(Tensor([],"float32"), )
W0608 12:06:59.222908 63652 dygraph_functions.cc:87666] got different data type, run type promotion automatically, this may cause data type been changed.
/root/miniconda3/envs/paddle/lib/python3.12/site-packages/paddle/tensor/stat.py:285: UserWarning: Degrees of freedom is <= 0.
  out = var(**locals())
[accuracy error] paddle.std(Tensor([],"float32"), ) 
 Not equal to tolerance rtol=0.01, atol=0.01
Scalars are not close!
Expected 0.0 but got nan.
Absolute difference: nan (up to 0.01 allowed)
Relative difference: inf (up to 0.01 allowed)
ACTUAL: (shape=torch.Size([]), dtype=torch.float32)
nan
DESIRED: (shape=torch.Size([]), dtype=torch.float32)
0.0
2025-06-08 12:06:59.102253 GPU 4 63646 test begin: paddle.std(Tensor([],"float32"), list[], )
W0608 12:06:59.242542 63646 dygraph_functions.cc:87666] got different data type, run type promotion automatically, this may cause data type been changed.
/root/miniconda3/envs/paddle/lib/python3.12/site-packages/paddle/tensor/stat.py:285: UserWarning: Degrees of freedom is <= 0.
  out = var(**locals())
[accuracy error] paddle.std(Tensor([],"float32"), list[], ) 
 Not equal to tolerance rtol=0.01, atol=0.01
Scalars are not close!
Expected 0.0 but got nan.
Absolute difference: nan (up to 0.01 allowed)
Relative difference: inf (up to 0.01 allowed)
ACTUAL: (shape=torch.Size([]), dtype=torch.float32)
nan
DESIRED: (shape=torch.Size([]), dtype=torch.float32)
0.0

# outputs
Torch Result shape : torch.Size([])
Torch Result : tensor(nan)
paddle Result shape : []
paddle Result  : Tensor(shape=[], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       nan)