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eigh_py: regenerate a fresh input each timed benchmark iteration #160

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eigh_py: regenerate a fresh input each timed benchmark iteration #160

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11 changes: 11 additions & 0 deletions problems/linalg/eigh_py/eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,17 @@ def _run_single_benchmark(
durations = []
bm_start_time = time.perf_counter_ns()
for i in range(max_repeats):
if recheck:
# Regenerate a FRESH input batch every timed iteration so no
# submission can memoize / cache / graph-replay an output keyed on a
# reused input. Bump the spec seed (the secret-seed-combined value)
# so each iteration draws a distinct, never-before-seen batch, then
# rebuild data_list and its reference copy. Generation happens before
# the timing window below, so it is not charged to the kernel.
if "seed" in test.args:
test.args["seed"] += 13
data_list = _make_data_batch(test, _benchmark_batch_count(test))
check_copy = _clone_data(data_list)
torch.cuda.synchronize()
clear_l2_cache()
start_event = torch.cuda.Event(enable_timing=True)
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