test: Converting tensordot benchmark to run with CodSpeed

[DeaMariaLeon]

What type of PR is this? (check all applicable)

• 💾 Refactor
• 🪄 Feature
• 🐞 Bug Fix
• 🔧 Optimization
• 📚 Documentation
• 🧪 Test
• 🛠️ Other

Related issues

• Related issue #
• Closes #

Checklist

• Code follows style guide
• Tests added
• Documented the changes

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Please explain your changes below.

The sides of the tensors are small, but when using 200, 500, 1000 (please see lines 17 - 19) the tests took a long time locally. More than 25 min. But I don't know for how much longer because my machine never finished the tests (so I Ctrl-break to stop). Please let me know if you have an idea of the sizes I should use.

[hameerabbasi]

LGTM besides the one comment; thanks @DeaMariaLeon!

[hameerabbasi]

Seems like an out of memory error again... I would reduce the scope of the PyTest fixtures to test, or maybe module at best.

[codspeed-hq]

CodSpeed Performance Report

Merging #761 will not alter performance

_{Comparing DeaMariaLeon:bench (245e0ba) with main (1c56a0b)}

Summary

✅ 244 untouched benchmarks

🆕 96 new benchmarks

Benchmarks breakdown

	Benchmark	main	DeaMariaLeon:bench	Change
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]	N/A	1.8 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]	N/A	1.5 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]	N/A	2.2 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]	N/A	1.7 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]	N/A	2 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]	N/A	1.6 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]	N/A	2.9 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]	N/A	2.3 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]	N/A	1.9 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]	N/A	1.5 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]	N/A	2.6 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]	N/A	2.1 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]	N/A	2.2 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]	N/A	1.7 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]	N/A	4 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]	N/A	3.2 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]	N/A	2.1 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]	N/A	1.7 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]	N/A	3.7 ms	N/A
🆕	test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]	N/A	3.2 ms	N/A
...	...	...	...	...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

[hameerabbasi]

LGTM, thanks @DeaMariaLeon!