results = dict()
import torch
arg_1_tensor = torch.rand([5, 5], dtype=torch.float64)
arg_1 = arg_1_tensor.clone()
arg_2_tensor = torch.randint(-16384,2048,[5], dtype=torch.int32)
arg_2 = arg_2_tensor.clone()
arg_3_tensor = torch.neg(torch.rand([5, 1], dtype=torch.float64))
arg_3 = arg_3_tensor.clone()
arg_4 = False
try:
  results["res_cpu"] = torch.linalg.ldl_solve(arg_1,arg_2,arg_3,hermitian=arg_4,)
except Exception as e:
  print("Error:"+str(e))
arg_1 = arg_1_tensor.clone().cuda()
arg_2 = arg_2_tensor.clone().cuda()
arg_3 = arg_3_tensor.clone().cuda()
try:
  results["res_gpu"] = torch.linalg.ldl_solve(arg_1,arg_2,arg_3,hermitian=arg_4,)
except Exception as e:
  print("Error:"+str(e))

print(results)

{'res_cpu': tensor([[-1.6075e-01],
        [-3.7725e-01],
        [-7.3882e-01],
        [-1.0747e+00],
        [5.5829e-322]], dtype=torch.float64), 'res_gpu': tensor([[-0.1607],
        [-0.3772],
        [-0.7388],
        [-1.0747],
        [ 0.0000]], device='cuda:0', dtype=torch.float64)}
free(): invalid next size (fast)
Aborted

PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.6
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.9.15 (main, Nov 24 2022, 14:31:59)  [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-58-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 11.6.124
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1660 Ti
Nvidia driver version: 525.78.01
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.13.1
[pip3] torchaudio==0.13.1
[pip3] torchvision==0.14.1
[conda] blas                      1.0                         mkl  
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2021.4.0           h06a4308_640  
[conda] mkl-service               2.4.0            py39h7f8727e_0  
[conda] mkl_fft                   1.3.1            py39hd3c417c_0  
[conda] mkl_random                1.2.2            py39h51133e4_0  
[conda] numpy                     1.23.5           py39h14f4228_0  
[conda] numpy-base                1.23.5           py39h31eccc5_0  
[conda] pytorch                   1.13.1          py3.9_cuda11.6_cudnn8.3.2_0    pytorch
[conda] pytorch-cuda              11.6                 h867d48c_1    pytorch
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torchaudio                0.13.1               py39_cu116    pytorch
[conda] torchvision               0.14.1               py39_cu116    pytorch