87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
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import argparse
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import os
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import re
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from pathlib import Path
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import plotly.express as px
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import yaml
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def parse_logs(log_dir):
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results = []
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for filename in os.listdir(log_dir):
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if filename.endswith(".log"):
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filepath = os.path.join(log_dir, filename)
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with open(filepath, "r", encoding="utf8") as file:
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for line in file:
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if (
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"Executed" in line
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and "instructions" in line
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and "during" in line
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and "resulting in" in line
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):
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parts = line.split()
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instructions = int(parts[3])
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time_idx = parts.index("during") + 1
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time = int(parts[time_idx].rstrip("ms"))
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mips_idx = parts.index("resulting") + 2
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mips = float(parts[mips_idx].rstrip("MIPS"))
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backend, iterations, _ = re.split(r"[_.]", filename)
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results.append(
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{
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"backend": backend,
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"run_count": int(iterations),
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"instructions": instructions,
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"time": time,
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"mips": mips,
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}
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)
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return results
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def write_yaml(results, output_file):
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with open(output_file, "w", encoding="utf8") as file:
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yaml.dump(results, file)
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def visualize_mips_over_instructions(yaml_file):
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# Read data from YAML file
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with open(yaml_file, "r", encoding="utf8") as file:
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data = yaml.safe_load(file)
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# Extract instructions and MIPS values
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run_count = [entry["run_count"] for entry in data]
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mips = [entry["mips"] for entry in data]
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backends = [entry["backend"] for entry in data]
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# Create scatter plot using Plotly Express
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fig = px.line(
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x=run_count,
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y=mips,
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color=backends,
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labels={"x": "Dhrystone Iterations", "y": "MIPS", "color": "Backend"},
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title="MIPS over Amount of Dhrystone Iterations",
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log_x=True,
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)
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fig.show()
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def main():
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parser = argparse.ArgumentParser(
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description="""
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Parse log files and extract relevant information. Create a 'results.yaml' file and visualize it.
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Intended to be run after 'dhrystone_run_multiple.py'"""
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)
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parser.add_argument("log_dir", help="Path to the directory containing log files.")
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args = parser.parse_args()
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result_file = Path(__file__).parent / "results.yaml"
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if not result_file.is_file():
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results = parse_logs(args.log_dir)
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write_yaml(results, result_file)
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visualize_mips_over_instructions(result_file)
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if __name__ == "__main__":
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main()
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