Add model performance benchmark suite (time & peak RSS)

[allnes]

Adds a benchmark suite to measure Graph_Build performance across models and execution variants.

Files

• benchmarks/model_performance.py
• benchmarks/README.md
• .gitignore update for benchmark result artifacts

Metrics

• Wall time
• Peak RSS memory (including child processes; psutil preferred, OS fallback otherwise)

Coverage

• Models: alexnet_mnist, googlenet, densenet, resnet, yolo
• Variants: seq, onednn, parallel-tbb, parallel-threads, parallel-omp, parallel-kokkos

Output

• JSON (with environment metadata)
• CSV (analysis/CI)

Run

cmake -S . -B build && cmake --build build --target Graph_Build --parallel

python3 benchmarks/model_performance.py \
  --model googlenet,resnet \
  --variant seq \
  --variant parallel-tbb \
  --repeat 3 \
  --warmup 1 \
  --csv-out benchmark_results/model_performance.csv

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.69%. Comparing base (60c1097) to head (e13836a).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #294   +/-   ##
=======================================
  Coverage   84.69%   84.69%           
=======================================
  Files          61       61           
  Lines        3744     3744           
  Branches     2218     2218           
=======================================
  Hits         3171     3171           
  Misses        285      285           
  Partials      288      288           

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