Update nn.Sequential signature to match PyTorch (*modules varargs)

[Copilot]

nn.Sequential.__init__ accepted a list[Module] | None parameter, diverging from PyTorch's torch.nn.Sequential which takes variadic positional args.

Changes

• nn/_sequential.py: Added __init__(self, *modules: Module) override that accepts variadic args and delegates to ModuleList.__init__; updated docstring example.
• nn/_module_test.py: Migrated all Sequential([...]) call sites to Sequential(...).

Before / After

# Before
seq = Sequential([SiLU(), Linear(4, 4)])
seq_empty = Sequential([])

# After — matches torch.nn.Sequential
seq = Sequential(SiLU(), Linear(4, 4))
seq_empty = Sequential()

Original prompt

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This section details on the original issue you should resolve

<issue_title>Update nn.Sequential signature to match pytorch</issue_title>
<issue_description>def __init__(self, modules: list[Module] | None = None) -> None should become def __init__(self, *modules: Module = None) -> None: to match pytorch signature.</issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes Update nn.Sequential signature to match pytorch #2826

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.78%. Comparing base (ef2bc22) to head (5b6d35c).
⚠️ Report is 1 commits behind head on main.
✅ All tests successful. No failed tests found.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #2827   +/-   ##
=======================================
  Coverage   71.78%   71.78%           
=======================================
  Files         239      239           
  Lines       28989    28991    +2     
  Branches     2859     2859           
=======================================
+ Hits        20809    20811    +2     
  Misses       7209     7209           
  Partials      971      971           

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[justinchuby]

@gramalingam