mirror of
https://github.com/The-OpenROAD-Project/OpenLane.git
synced 2026-06-03 00:08:08 +08:00
630aa1ff3c
~ Add reports for timing multi-corner STA across all process corners ~ Sort min/max report outputs by slack ~ Combine Slew, Fanout, Capacitance and Annotation Checks into one `_sta.checks.rpt` ~ Combine TNS, WNS, Worst_Slack into one `_sta.summary.rpt` ~ Fix regression in #1675 where logs were renamed and reports were not getting generated for some steps ~ Update documentation \- Remove UMich ECO timing report vestiges --- Based on feedback from @shalan, Fixes #875
80 lines
2.3 KiB
Python
80 lines
2.3 KiB
Python
#!/usr/bin/python3
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# Copyright 2020 Efabless Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import csv
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import pathlib
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def get_design_path(design):
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path = os.path.abspath(design)
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if not os.path.exists(path):
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path = os.path.join(os.getcwd(), "designs", design)
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if os.path.exists(path):
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return path
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else:
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return None
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def get_run_path(design, tag):
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return os.path.join(get_design_path(design), "runs", tag)
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def add_computed_statistics(filename):
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"""
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Adds some calculated values to a report CSV file, namely:
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* Cells per mm sq over core utilization
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* Suggested clock period
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* Suggested clock frequency
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"""
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rows = []
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csv_headers = open(filename).read().split("\n")[0].split(",")
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def add(name: str, before: str):
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nonlocal csv_headers
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idx = csv_headers.index(before)
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csv_headers.insert(idx, name)
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add("(Cell/mm^2)/Core_Util", "DIEAREA_mm^2")
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add("suggested_clock_period", "CLOCK_PERIOD")
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add("suggested_clock_frequency", "CLOCK_PERIOD")
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csv_file_in = open(filename)
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reader = csv.DictReader(csv_file_in)
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for row in reader:
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row["(Cell/mm^2)/Core_Util"] = float(row["CellPer_mm^2"]) / (
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float(row["FP_CORE_UTIL"]) / 100
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)
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suggest_clock_period = float(row["CLOCK_PERIOD"]) - float(row["spef_wns"])
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row["suggested_clock_period"] = suggest_clock_period
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row["suggested_clock_frequency"] = 1000 / suggest_clock_period
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rows.append(row)
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csv_file_in.close()
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with open(filename, "w", encoding="utf8") as f:
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writer = csv.DictWriter(
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f,
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csv_headers,
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)
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writer.writeheader()
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for row in rows:
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writer.writerow(row)
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def mkdirp(path):
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return pathlib.Path(path).mkdir(parents=True, exist_ok=True)
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