[torchlib] Fix and implement overloads for aten::remainder

[justinchuby]

Previously the Scalar_Tensor overload will fail because the first arg will be a scalar which does not have dtype.

[codecov]

Codecov Report

❌ Patch coverage is 69.23077% with 4 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.07%. Comparing base (a3883a6) to head (4ce07c9).
⚠️ Report is 1 commits behind head on main.
✅ All tests successful. No failed tests found.

Files with missing lines	Patch %	Lines
onnxscript/function_libs/torch_lib/ops/core.py	69.23%	4 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2727      +/-   ##
==========================================
- Coverage   70.07%   70.07%   -0.01%     
==========================================
  Files         226      226              
  Lines       27266    27276      +10     
  Branches     2754     2754              
==========================================
+ Hits        19107    19113       +6     
- Misses       7209     7213       +4     
  Partials      950      950              

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[Copilot]

Pull request overview

This PR fixes the aten::remainder.Scalar_Tensor overload which previously failed because it attempted to access the dtype attribute on a scalar value. The fix separates the three overload variants into distinct functions, ensuring that dtype is always obtained from a tensor operand.

• Split the combined decorator for .Tensor and .Scalar overloads into separate implementations
• Added dedicated implementation for .Scalar overload (Tensor, float)
• Added dedicated implementation for .Scalar_Tensor overload (float, Tensor)

[Copilot]

Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated no new comments.