Question about intended behavior of is_continuous_axis for decreasing axes

[MalyalaKarthik66]

Hi Keras team,

While contributing and reading through keras/src/utils/python_utils.py, I noticed the implementation of is_continuous_axis.

Currently, the function defines a negative_order_flag, but the loop checks the same condition as the positive case (axis[i + 1] - axis[i] != 1). From local testing, decreasing contiguous sequences (e.g., [3, 2, 1, 0]) currently return False.

I wanted to check the intended behavior here:

• Was this function meant to treat decreasing contiguous axes as continuous (as the negative_order_flag name might suggest)?
• If the condition were changed to check != -1, could that introduce issues for backend kernel selection paths (for example in nn.py for normalization layers)?

I have a small patch and unit tests prepared, but wanted to confirm the intended semantics before opening a PR.

Thanks!