## Problem
Several legacy binary benchmarks pass a short string such as `maximum`,
`minimum`, or `cmp_eq` to `BenchmarkReport.record()` instead of passing
the Op instance that was actually profiled.
String records contain neither the canonical class identity nor
`op_module`. The nightly report therefore treats a legacy alias and its
manifest-driven benchmark as different operators. For example, the same
`MaximumFwdOp` implementation can appear once as `MaximumFwdOp` and
again as `maximum`. Downstream documentation then has to classify the
alias from its name alone, which can also place `maximum` under
Reduction because it contains `max`.
This affects the standard binary arithmetic, comparison, logical, and
bitwise benchmark groups. The measurements themselves are valid; the
recorded operator identity is not canonical.
## Solution
Pass the real Op instance to `BenchmarkReport.record()` for both the
TileOPs measurement and its baseline:
```python
op = op_cls(...)
result = bm.profile(op, *inputs)
BenchmarkReport.record(op, locals(), result, tag='tileops')
result_bl = bm.profile(baseline_fn, *inputs)
BenchmarkReport.record(op, locals(), result_bl, tag='torch')
```
`BenchmarkReport` then derives the identity consistently from:
```python
op.__class__.__name__
op.__class__.__module__
```
This consolidates legacy aliases under canonical identities such as
`MaximumFwdOp`, `MinimumFwdOp`, and `EqFwdOp`, while preserving the
benchmark parameters, measurements, and baseline tags.
The change is intentionally limited to identity recording. It does not
add display-category metadata or move taxonomy into TileOPs; benchmark
page classification remains owned by TileOPs.github.io.
## Changes
- record standard binary arithmetic benchmarks with their real Op
instances
- record comparison benchmarks with their real Op instances instead of
`cmp_*` aliases
- record logical and bitwise benchmarks with their real Op instances
- preserve canonical class names and `op_module` metadata in nightly
JUnit output
## Validation
- `python -m py_compile benchmarks/ops/bench_binary_elementwise.py`
- `git diff --check`
GPU benchmark execution was not available in the local worktree.
Related documentation taxonomy fix: tile-ai/TileOPs.github.io#13
b3003ff157