File size: 7,020 Bytes
0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 5a859d4 0b7eab1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 | #!/usr/bin/env python3
"""Reproduce any row of `pphilip/analog-circuits-sky130` with ngspice.
Usage
-----
python example_simulate.py # first converged row of train
python example_simulate.py --split test --row 42
python example_simulate.py --circuit-id analoggym_amp_yan_az_pin_3_s015
python example_simulate.py --row 0 --print-spice # dump the reconstructed SPICE
Every row of the `with_testbench` config carries the exact, ngspice-ready
SPICE that produced its `metrics`. Reproducing a row is:
1. Load the row.
2. Substitute `{{SKY130_LIB}}` with your local SKY130 `.lib` path.
3. Run ngspice on the result.
4. Parse the `.meas` output.
Prerequisites
-------------
pip install datasets
# Install ngspice (v46+):
# brew install ngspice (macOS)
# apt install ngspice (Debian/Ubuntu)
# (or build from source: http://ngspice.sourceforge.net/)
# Install the SkyWater SKY130 PDK (Apache 2.0):
pip install volare && volare fetch --pdk sky130
# Point SKY130_LIB at the combined/continuous lib:
export SKY130_LIB="$(volare show sky130)/sky130A/libs.tech/combined/continuous/sky130.lib.spice"
"""
from __future__ import annotations
import argparse
import json
import os
import shutil
import subprocess
import sys
import tempfile
from pathlib import Path
# ---------------------------------------------------------------------------
# Run ngspice + parse .meas output
# ---------------------------------------------------------------------------
def run_ngspice(spice_text: str) -> tuple[dict[str, float], str]:
"""Run ngspice in batch mode. Returns (parsed_metrics, raw_log).
ngspice's `ngbehavior=hs` mode lowercases every token, so `.meas`
labels come back as `dc_gain_db` even if the SPICE source wrote
`dc_gain_dB`. Parsing is case-insensitive.
"""
if shutil.which("ngspice") is None:
raise RuntimeError(
"ngspice not found on PATH. Install it (see prerequisites above)."
)
with tempfile.TemporaryDirectory() as d:
tb = Path(d) / "tb.spice"
tb.write_text(spice_text)
r = subprocess.run(
["ngspice", "-b", str(tb)],
capture_output=True, text=True, timeout=60,
)
log = r.stdout + r.stderr
# `.meas` output looks like: dc_gain_db = -3.07410e+01 at= 1.00000e+00
metrics: dict[str, float] = {}
for line in log.splitlines():
parts = line.strip().split("=", 1)
if len(parts) != 2:
continue
key = parts[0].strip().lower()
if not key or " " in key:
continue
# Take the first numeric token after `=`
for tok in parts[1].split():
try:
metrics[key] = float(tok)
break
except ValueError:
continue
return metrics, log
def first_reproducible_row(ds) -> int:
"""Return the index of the first converged row with a non-empty testbench_spice.
`failed` split rows can still carry a testbench_spice (the sim was attempted
but didn't converge), so testbench-presence alone isn't enough — we also
require `converged=True` so the shipped `metrics` are meaningful.
"""
for i in range(len(ds)):
row = ds[i]
if row.get("converged") and row.get("testbench_spice"):
return i
raise RuntimeError("no converged row with testbench_spice found in this split")
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("--split", default="train",
choices=["train", "validation", "test", "failed"])
ap.add_argument("--row", type=int, default=None,
help="Row index within the split (default: first usable row)")
ap.add_argument("--circuit-id", default=None,
help="Alternative to --row: look up by exact circuit_id")
ap.add_argument("--print-spice", action="store_true",
help="Print the reconstructed SPICE and exit without running")
args = ap.parse_args()
from datasets import load_dataset
print(f"Loading pphilip/analog-circuits-sky130 (config: with_testbench, split: {args.split})…")
ds = load_dataset(
"pphilip/analog-circuits-sky130",
"with_testbench",
split=args.split,
)
if args.circuit_id is not None:
idx = None
for i, r in enumerate(ds):
if r["circuit_id"] == args.circuit_id:
idx = i
break
if idx is None:
print(f"circuit_id {args.circuit_id!r} not in split {args.split!r}",
file=sys.stderr)
return 1
elif args.row is not None:
if not 0 <= args.row < len(ds):
print(f"--row {args.row} out of range (split has {len(ds)} rows)",
file=sys.stderr)
return 1
idx = args.row
else:
idx = first_reproducible_row(ds)
row = ds[idx]
shipped = json.loads(row["metrics"]) if row["metrics"] else {}
spice = row["testbench_spice"]
print(f" circuit_id: {row['circuit_id']}")
print(f" topology: {row['topology']} (source: {row['source_dataset']})")
print(f" shipped metric: dc_gain_dB = {shipped.get('dc_gain_dB', 'n/a')} dB")
if not spice:
print("\n ERROR: this row has no testbench_spice (failed-build case).",
file=sys.stderr)
return 1
if args.print_spice:
# Show the SPICE verbatim including the {{SKY130_LIB}} placeholder —
# this path doesn't run ngspice, so a local PDK isn't required.
print("\n--- reconstructed SPICE ---")
print(spice)
return 0
sky130_lib = os.environ.get("SKY130_LIB")
if not sky130_lib or not Path(sky130_lib).exists():
print(
"ERROR: SKY130_LIB env var not set or doesn't point to a valid file.\n"
"Install the PDK: `pip install volare && volare fetch --pdk sky130`\n"
"Then: `export SKY130_LIB=<path to sky130.lib.spice>` "
"(combined/continuous variant).",
file=sys.stderr,
)
return 2
# Swap the portability placeholder for the user's local PDK path.
spice = spice.replace("{{SKY130_LIB}}", sky130_lib)
print("\nRunning ngspice…")
try:
metrics, log = run_ngspice(spice)
except RuntimeError as e:
print(f"ERROR: {e}", file=sys.stderr)
return 3
reproduced = metrics.get("dc_gain_db") # ngspice lowercases output keys
print(f" reproduced: dc_gain_dB = {reproduced} dB")
if reproduced is not None and "dc_gain_dB" in shipped:
delta = abs(reproduced - shipped["dc_gain_dB"])
tag = "✓ bit-exact" if delta < 1e-3 else ("~ within 0.1 dB" if delta < 0.1 else "✗ mismatch")
print(f" delta: {delta:.6f} dB {tag}")
return 0
if __name__ == "__main__":
sys.exit(main())
|