This PR regresses wav2lip / causes CI failure:

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

 (Triggered internally at /npu-stack/pytorch-fork/torch/csrc/utils/tensor_numpy.cpp:84.)
  cpu = _conversion_method_template(device=torch.device("cpu"))
Calling add_step_closure function does not have any effect. It's lazy mode only functionality. (warning logged once)
Calling mark_step function does not have any effect. It's lazy mode only functionality. (warning logged once)
Calling iter_mark_step function does not have any effect. It's lazy mode only functionality. (warning logged once)
/usr/lib/python3.10/inspect.py:288: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead
  return isinstance(object, types.FunctionType)
Traceback (most recent call last):
  File "/home/user/comps/third_parties/wav2lip/src/wav2lip_server.py", line 20, in <module>
    from utils import *
...
  File "/usr/local/lib/python3.10/dist-packages/basicsr/utils/diffjpeg.py", line 19, in <module>
    y_table = nn.Parameter(torch.from_numpy(y_table))
RuntimeError: Numpy is not available

Because it removes numpy v1 version enforcement for requirements.txt used by wav2lip:
https://github.com/opea-project/GenAIComps/blob/main/comps/third_parties/wav2lip/src/Dockerfile#L56

This PR regresses wav2lip / causes CI failure:

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

 (Triggered internally at /npu-stack/pytorch-fork/torch/csrc/utils/tensor_numpy.cpp:84.)
  cpu = _conversion_method_template(device=torch.device("cpu"))
Calling add_step_closure function does not have any effect. It's lazy mode only functionality. (warning logged once)
Calling mark_step function does not have any effect. It's lazy mode only functionality. (warning logged once)
Calling iter_mark_step function does not have any effect. It's lazy mode only functionality. (warning logged once)
/usr/lib/python3.10/inspect.py:288: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead
  return isinstance(object, types.FunctionType)
Traceback (most recent call last):
  File "/home/user/comps/third_parties/wav2lip/src/wav2lip_server.py", line 20, in <module>
    from utils import *
...
  File "/usr/local/lib/python3.10/dist-packages/basicsr/utils/diffjpeg.py", line 19, in <module>
    y_table = nn.Parameter(torch.from_numpy(y_table))
RuntimeError: Numpy is not available

Because it removes numpy v1 version enforcement for requirements.txt used by wav2lip: https://github.com/opea-project/GenAIComps/blob/main/comps/third_parties/wav2lip/src/Dockerfile#L56

Thanks for your comment, I will check wav2lip.