fix(deps, pyamber): bump torch from 2.12.1 to 2.13.0+cpu in /amber

[dependabot]

Bumps torch from 2.12.1 to 2.13.0+cpu.

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[github-actions]

Automated Reviewer Suggestions

Based on the git blame history of the changed files, we recommend the following reviewers:

• Contributors with relevant context: @mengw15, @aglinxinyuan
  You can notify them by mentioning @mengw15, @aglinxinyuan in a comment.

[github-actions]

✅ No material benchmark regressions detected

🟢 2 better · 🔴 0 worse · ⚪ 13 noise (<±5%) · 0 without baseline

Compared against main 0485d02 benchmarked on this same runner, so the delta is largely free of cross-runner hardware noise. The "7d avg" column still reflects the gh-pages dashboard. Treat <±5% as noise unless repeated.

Dashboard · Run

	config	throughput	MB/s	latency	max Δ latest / 7d
⚪	bs=10 sw=10 sl=64	396	0.242	24,628/35,533/35,533 us	⚪ within ±5% / 🔴 +145.3%
🟢	bs=100 sw=10 sl=64	797	0.487	126,193/147,894/147,894 us	🟢 -8.0% / 🔴 +47.2%
⚪	bs=1000 sw=10 sl=64	906	0.553	1,106,988/1,143,471/1,143,471 us	⚪ within ±5% / 🔴 +19.6%

Baseline details

Latest main 0485d02 from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	396 tuples/sec	387 tuples/sec	830.77 tuples/sec	+2.3%	-52.3%
bs=10 sw=10 sl=64	MB/s	0.242 MB/s	0.236 MB/s	0.507 MB/s	+2.5%	-52.3%
bs=10 sw=10 sl=64	p50	24,628 us	24,554 us	11,905 us	+0.3%	+106.9%
bs=10 sw=10 sl=64	p95	35,533 us	34,947 us	14,486 us	+1.7%	+145.3%
bs=10 sw=10 sl=64	p99	35,533 us	34,947 us	19,430 us	+1.7%	+82.9%
bs=100 sw=10 sl=64	throughput	797 tuples/sec	777 tuples/sec	1,082 tuples/sec	+2.6%	-26.3%
bs=100 sw=10 sl=64	MB/s	0.487 MB/s	0.474 MB/s	0.66 MB/s	+2.7%	-26.3%
bs=100 sw=10 sl=64	p50	126,193 us	122,420 us	93,412 us	+3.1%	+35.1%
bs=100 sw=10 sl=64	p95	147,894 us	160,726 us	100,489 us	-8.0%	+47.2%
bs=100 sw=10 sl=64	p99	147,894 us	160,726 us	111,365 us	-8.0%	+32.8%
bs=1000 sw=10 sl=64	throughput	906 tuples/sec	908 tuples/sec	1,104 tuples/sec	-0.2%	-17.9%
bs=1000 sw=10 sl=64	MB/s	0.553 MB/s	0.554 MB/s	0.674 MB/s	-0.2%	-17.9%
bs=1000 sw=10 sl=64	p50	1,106,988 us	1,110,500 us	925,459 us	-0.3%	+19.6%
bs=1000 sw=10 sl=64	p95	1,143,471 us	1,132,726 us	967,138 us	+0.9%	+18.2%
bs=1000 sw=10 sl=64	p99	1,143,471 us	1,132,726 us	997,758 us	+0.9%	+14.6%

Raw CSV

config_idx,batch_size,schema_width,string_len,num_batches,total_ms,total_tuples,total_bytes,tuples_per_sec,mb_per_sec,lat_p50_us,lat_p95_us,lat_p99_us
0,10,10,64,20,504.52,200,128000,396,0.242,24628.18,35533.08,35533.08
1,100,10,64,20,2507.96,2000,1280000,797,0.487,126192.54,147894.23,147894.23
2,1000,10,64,20,22079.96,20000,12800000,906,0.553,1106988.35,1143471.31,1143471.31

[Copilot]

Pull request overview

Updates Amber’s Python operator dependencies by bumping the Linux x86_64 CPU-only PyTorch (torch) pin, aligning runtime wheels with the intended version upgrade.

Changes:

• Bump torch Linux x86_64 CPU wheel pin from 2.12.1+cpu to 2.13.0+cpu.
• Leave other operator dependencies unchanged.

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 69.91%. Comparing base (0485d02) to head (3c7d7c0).
⚠️ Report is 7 commits behind head on main.
✅ All tests successful. No failed tests found.

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #6407      +/-   ##
============================================
+ Coverage     69.83%   69.91%   +0.08%     
- Complexity     3380     3382       +2     
============================================
  Files          1142     1142              
  Lines         44838    44844       +6     
  Branches       4949     4949              
============================================
+ Hits          31311    31353      +42     
+ Misses        11869    11841      -28     
+ Partials       1658     1650       -8     

Flag	Coverage Δ
access-control-service	70.00% <ø> (ø)
agent-service	76.76% <ø> (ø)
amber	66.66% <ø> (+0.01%)	⬆️
computing-unit-managing-service	9.97% <ø> (ø)
config-service	52.30% <ø> (ø)
file-service	63.97% <ø> (ø)
frontend	68.35% <ø> (+0.18%)	⬆️
notebook-migration-service	78.94% <ø> (ø)
pyamber	91.19% <ø> (+0.01%)	⬆️
workflow-compiling-service	55.14% <ø> (ø)

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.