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Add explicit separation between query-only cycles (accept→last) and end-to-end cycles (load + write + noise + queries) in hardware retrieval benchmarks. - Add query_only_cycles_per_query, load_write_noise_cycles, end_to_end_cycles metrics - Refactor summarize_query_timings() to use accept_to_last_result_cycles as query-only base - Add build_hardware_performance() to compute end-to-end performance separately - Add current_sim_cycle() helper using cocotb get_sim_time - Update CSV/Markdown outputs and RETRIEVAL_PERF_RESULT log format - Update documentation to clarify cycle-counting methodology - Update tests to cover new performance measurement logic
155 lines
5.2 KiB
Python
155 lines
5.2 KiB
Python
from __future__ import annotations
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import csv
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import sys
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from pathlib import Path
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HW_SIM_DIR = Path(__file__).resolve().parents[1] / "hw" / "sim"
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if str(HW_SIM_DIR) not in sys.path:
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sys.path.insert(0, str(HW_SIM_DIR))
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from benchmarks.retrieval.test_retrieval_benchmark import ( # noqa: E402
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QueryTiming,
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build_hardware_performance,
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summarize_query_timings,
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write_outputs,
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)
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def test_summarize_query_timings_uses_query_only_accept_to_last_cycles() -> None:
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summary = summarize_query_timings([
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QueryTiming(
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accept_to_first_result_cycles=10,
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accept_to_last_result_cycles=14,
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total_query_cycles=14,
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),
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QueryTiming(
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accept_to_first_result_cycles=12,
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accept_to_last_result_cycles=18,
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total_query_cycles=18,
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),
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])
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assert summary == {
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"num_queries": 2,
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"query_only_total_cycles": 32,
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"query_only_cycles_per_query": 16.0,
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"query_only_min_cycles": 14,
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"query_only_max_cycles": 18,
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"query_only_queries_per_cycle": 2 / 32,
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"mean_accept_to_first_result_cycles": 11.0,
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"mean_accept_to_last_result_cycles": 16.0,
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"total_query_cycles": 32,
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"mean_total_query_cycles": 16.0,
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"min_total_query_cycles": 14,
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"max_total_query_cycles": 18,
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"cycles_per_query": 16.0,
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"queries_per_cycle": 2 / 32,
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}
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def test_build_hardware_performance_separates_query_and_end_to_end_cycles() -> None:
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performance = build_hardware_performance(
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[
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QueryTiming(
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accept_to_first_result_cycles=10,
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accept_to_last_result_cycles=14,
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total_query_cycles=14,
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),
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QueryTiming(
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accept_to_first_result_cycles=12,
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accept_to_last_result_cycles=18,
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total_query_cycles=18,
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),
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],
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load_write_noise_cycles=100,
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end_to_end_cycles=140,
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)
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assert performance["query_only_total_cycles"] == 32
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assert performance["query_only_cycles_per_query"] == 16.0
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assert performance["query_only_queries_per_cycle"] == 2 / 32
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assert performance["load_write_noise_cycles"] == 100
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assert performance["end_to_end_cycles"] == 140
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assert performance["end_to_end_cycles_per_query"] == 70.0
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assert performance["end_to_end_queries_per_cycle"] == 2 / 140
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assert performance["cycles_per_query"] == performance["query_only_cycles_per_query"]
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assert performance["queries_per_cycle"] == performance["query_only_queries_per_cycle"]
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def test_write_outputs_includes_hardware_performance_fields(tmp_path: Path) -> None:
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result = {
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"run_id": "test-run",
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"mode": "no_noise",
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"status": "pass",
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"params": {
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"num_rows": 512,
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"hash_bits": 512,
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"lanes": 8,
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"topk_k": 5,
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"write_noise_en": 0,
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"write_noise_rate_num": 0,
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"write_noise_rate_den": 100,
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},
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"dataset": {
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"num_classes": 10,
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"positives_per_class": 0,
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"queries_per_class": 0,
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"num_queries": 2,
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"seed": 0,
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},
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"metrics": {
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"1": {
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"macro_precision": 1.0,
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"retrieval_recall": 0.5,
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"macro_f1": 2 / 3,
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"recall@k": 1.0,
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"exact_match_rate": 1.0,
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}
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},
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"performance": {
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"num_queries": 2,
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"query_only_total_cycles": 32,
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"query_only_cycles_per_query": 16.0,
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"query_only_min_cycles": 14,
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"query_only_max_cycles": 18,
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"query_only_queries_per_cycle": 2 / 32,
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"mean_accept_to_first_result_cycles": 11.0,
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"mean_accept_to_last_result_cycles": 16.0,
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"load_write_noise_cycles": 100,
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"end_to_end_cycles": 140,
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"end_to_end_cycles_per_query": 70.0,
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"end_to_end_queries_per_cycle": 2 / 140,
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"total_query_cycles": 32,
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"mean_total_query_cycles": 16.0,
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"min_total_query_cycles": 14,
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"max_total_query_cycles": 18,
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"cycles_per_query": 16.0,
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"queries_per_cycle": 2 / 32,
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},
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}
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write_outputs(tmp_path, result)
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with (tmp_path / "metrics.csv").open(newline="", encoding="utf-8") as f:
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row = next(csv.DictReader(f))
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assert row["query_only_cycles_per_query"] == "16.0"
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assert row["query_only_total_cycles"] == "32"
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assert row["query_only_queries_per_cycle"] == str(2 / 32)
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assert row["load_write_noise_cycles"] == "100"
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assert row["end_to_end_cycles"] == "140"
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assert row["end_to_end_queries_per_cycle"] == str(2 / 140)
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assert row["cycles_per_query"] == "16.0"
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assert row["mean_accept_to_first_result_cycles"] == "11.0"
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assert row["mean_accept_to_last_result_cycles"] == "16.0"
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assert row["queries_per_cycle"] == str(2 / 32)
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summary = (tmp_path / "summary.md").read_text(encoding="utf-8")
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assert "## Hardware performance" in summary
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assert "query-only cycles/query" in summary
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assert "load/write/noise cycles" in summary
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assert "end-to-end cycles/query" in summary
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assert "accept_to_last_result_cycles" in summary
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