When nan/inf is a parameter of 'oneflow.linspace', there is a core dumped happen

[Redempt1onzzZZ]

Summary

When nan/inf is a parameter of 'oneflow.linspace', there is a core dumped happen, while pytorch/numpy doesn't.

Code to reproduce bug

import oneflow as flow

# Create a 1-D tensor with values evenly spaced from start to end
output_tensor = flow.linspace(start=0, end=float('nan'), steps=5)

# Print the output tensor
print("OneFlow Tensor:", output_tensor)

import torch

# Create a 1-D tensor with values evenly spaced from start to end
output_tensor = torch.linspace(start=0, end=float('inf'), steps=5)

# Print the output tensor
print("PyTorch Tensor:", output_tensor)

System Information

• What is your OneFlow installation :dockerhub
• OS:Linux
• OneFlow version (run python3 -m oneflow --doctor):0.9.1.dev20231024+cu117
• Python version: 3.8

[Redempt1onzzZZ]

the same situation exists for 'oneflow.logspace'