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Validation and benchmarking

Validation asks whether a family implementation is correct. Benchmarking asks how its public task call performs. Establish correctness first.

Validate repository structure

PYTHONPATH=core/builder:. python3 -m tools.model_ci validate
PYTHONPATH=core/builder:. python3 tools/test_impact.py --validate

These checks enforce family ownership and test selection without executing a model.

Run a family E2E case

export TRTMC_BINARY="$PWD/build/apps/cli/trtmc"
export TRTMC_RUNTIME_ROOT="$PWD/build/install/lib"

PYTHONPATH=core/builder:. python3 -m pytest \
families/qwen/tests/test_e2e.py \
--e2e-testcase qwen3-0.6b-fp16 \
-q

Use a manifest selector that exists in the checkout. The family owns its input, reference, comparison logic, thresholds, topology, and produced evidence.

Run focused host and compiled checks as appropriate:

PYTHONPATH=core/builder:. python3 -m pytest families/qwen/tests -q
ctest --test-dir build --output-on-failure

Benchmark the public task

trtmc-bench run \
--model distilgpt2 \
--runtime-root /opt/trtmc/lib \
-o results/distilgpt2

For release comparisons, validate and run the checked-in matrix:

python3 tools/perf_matrix.py check \
apps/benchmark/performance/release.yaml \
--environment apps/benchmark/performance/environments/gb300.yaml

python3 tools/perf_matrix.py run \
apps/benchmark/performance/release.yaml \
--environment apps/benchmark/performance/environments/gb300.yaml \
--entry gpt2.generate

Bundle preparation and warmup are outside the candidate measurement. Reference runners execute in separate environments so their dependencies do not leak into shared runtime code.

Evidence checklist

  • commit and model revision;
  • family manifest and threshold file;
  • bundle and build arguments;
  • runtime root and exact request;
  • GPU topology and TensorRT/CUDA/driver versions;
  • validation output before performance results;
  • raw observations, summary JSON, and report.

Never loosen a correctness threshold to obtain a green performance result.