Added CUDA support for complex input for torch.triangular_solve

[IvanYashchuk]

torch.triangular_solve now works for complex inputs on GPU.
I moved the existing tests to test_linalg.py and modified them to test complex and float32 dtypes.

Ref. #33152

[dr-ci]

💊 CI failures summary and remediations

As of commit 129e93d (more details on the Dr. CI page):

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• 1/1 failures possibly* introduced in this PR
  • 1/1 non-CircleCI failure(s)

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ci.pytorch.org: 1 failed

• Failed: pr/pytorch-linux-bionic-rocm3.9-py3.6

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[codecov]

Codecov Report

Merging #46916 (129e93d) into master (4078f44) will increase coverage by 0.00%.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master   #46916   +/-   ##
=======================================
  Coverage   81.22%   81.23%           
=======================================
  Files        1836     1836           
  Lines      197896   197896           
=======================================
+ Hits       160750   160752    +2     
+ Misses      37146    37144    -2     

[anjali411]

LGTM thanks @IvanYashchuk !

[facebook-github-bot]

@anjali411 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

[anjali411]

@IvanYashchuk can you rebase and resolve the merge conflict?

[IvanYashchuk]

@anjali411, I resolved the merge conflict.

[IvanYashchuk]

@anjali411, I updated this PR, should be ready for merge now. After that, the next PR on the list is torch.solve.

[anjali411]

@IvanYashchuk #47595 is merged, so let's get this in now. let me know when you have rebased and resolved the merge conflicts

[IvanYashchuk]

Hey @anjali411, merge conflicts were resolved.

[facebook-github-bot]

@anjali411 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

[facebook-github-bot]

@anjali411 merged this pull request in 52ec8b9.