Remove deduce_param_attrs.

[cjgillot]

This pass assumes that MIR we use for codegen is exactly optimized_mir. This conflicts with #131650.

This PR proposes to remove it, after checking the potential perf effect.

r? @ghost for perf

[cjgillot]

@bors try @rust-timer queue

[rust-bors]

☀️ Try build successful (CI)
Build commit: 931d3bf (931d3bfa87d753fac368f6846a8391d6641b618b, parent: 55b9b4d1e1bb5b46c04237a2fb2f8a85f39ef97d)

[rust-timer]

Finished benchmarking commit (931d3bf): comparison URL.

Overall result: ✅ improvements - no action needed

Benchmarking this pull request means it may be perf-sensitive – we'll automatically label it not fit for rolling up. You can override this, but we strongly advise not to, due to possible changes in compiler perf.

@bors rollup=never
@rustbot label: -S-waiting-on-perf -perf-regression

Instruction count

Our most reliable metric. Used to determine the overall result above. However, even this metric can be noisy.

	mean	range	count
Regressions ❌ (primary)	-	-	0
Regressions ❌ (secondary)	-	-	0
Improvements ✅ (primary)	-0.2%	[-0.3%, -0.1%]	3
Improvements ✅ (secondary)	-2.7%	[-2.9%, -2.5%]	6
All ❌✅ (primary)	-0.2%	[-0.3%, -0.1%]	3

Max RSS (memory usage)

Results (primary 1.8%, secondary -2.5%)

A less reliable metric. May be of interest, but not used to determine the overall result above.

	mean	range	count
Regressions ❌ (primary)	1.8%	[0.9%, 2.8%]	3
Regressions ❌ (secondary)	1.6%	[1.6%, 1.6%]	1
Improvements ✅ (primary)	-	-	0
Improvements ✅ (secondary)	-3.5%	[-5.2%, -2.5%]	4
All ❌✅ (primary)	1.8%	[0.9%, 2.8%]	3

Cycles

Results (primary 3.7%, secondary 2.8%)

A less reliable metric. May be of interest, but not used to determine the overall result above.

	mean	range	count
Regressions ❌ (primary)	3.7%	[2.9%, 4.5%]	2
Regressions ❌ (secondary)	5.6%	[4.9%, 6.4%]	2
Improvements ✅ (primary)	-	-	0
Improvements ✅ (secondary)	-3.0%	[-3.0%, -3.0%]	1
All ❌✅ (primary)	3.7%	[2.9%, 4.5%]	2

Binary size

Results (primary -0.7%, secondary -0.6%)

A less reliable metric. May be of interest, but not used to determine the overall result above.

	mean	range	count
Regressions ❌ (primary)	-	-	0
Regressions ❌ (secondary)	-	-	0
Improvements ✅ (primary)	-0.7%	[-1.5%, -0.1%]	15
Improvements ✅ (secondary)	-0.6%	[-2.3%, -0.0%]	17
All ❌✅ (primary)	-0.7%	[-1.5%, -0.1%]	15

Bootstrap: 465.905s -> 466.574s (0.14%)
Artifact size: 387.45 MiB -> 387.35 MiB (-0.03%)