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c0a2ac4 | 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 | import argparse
from openmodellab.comparison.compare import generate_comparison
from openmodellab.comparison.table import print_table
from openmodellab.genome.model_loader import load_model
from openmodellab.genome.analyzer import analyze_model
from openmodellab.benchmark import analyze_benchmark
from openmodellab.reporting.json_writer import save_json
from openmodellab.reporting.benchmark_writer import save_benchmark
from openmodellab.reporting.csv_writer import save_csv
from openmodellab.reporting.html_writer import save_html
from openmodellab.visualization.charts import (
save_latency_chart,
save_throughput_chart
)
def main():
parser = argparse.ArgumentParser(
prog="openmodellab",
description="OpenModelLab - Model Genome Generator"
)
subparsers = parser.add_subparsers(
dest="command"
)
# Genome command
genome = subparsers.add_parser(
"genome",
help="Generate a model genome report"
)
genome.add_argument(
"--model",
required=True,
help="Hugging Face model name"
)
# Compare command
compare = subparsers.add_parser(
"compare",
help="Compare model reports"
)
compare.add_argument(
"--reports",
required=True,
help="Directory containing genome and benchmark reports"
)
compare.add_argument(
"--format",
choices=[
"table",
"csv",
"html",
"charts"
],
default="table",
help="Output format"
)
args = parser.parse_args()
if args.command == "genome":
print("=" * 60)
print("OpenModelLab Genome")
print("=" * 60)
model, tokenizer = load_model(
args.model
)
genome_report = analyze_model(
args.model,
model,
tokenizer
)
genome_file = save_json(
genome_report,
args.model
)
benchmark_report = analyze_benchmark(
model,
tokenizer
)
benchmark_file = save_benchmark(
benchmark_report,
args.model
)
print()
print("Genome report saved:")
print(genome_file)
print()
print("Benchmark report saved:")
print(benchmark_file)
elif args.command == "compare":
print("=" * 60)
print("OpenModelLab Model Comparison")
print("=" * 60)
results = generate_comparison(
args.reports
)
if args.format == "table":
print_table(
results
)
elif args.format == "csv":
outfile = save_csv(
results,
"comparison_report.csv"
)
print()
print("CSV report saved:")
print(outfile)
elif args.format == "html":
outfile = save_html(
results,
"comparison_report.html"
)
print()
print("HTML report saved:")
print(outfile)
elif args.format == "charts":
latency_file = "latency_comparison.png"
throughput_file = "throughput_comparison.png"
save_latency_chart(
results,
latency_file
)
save_throughput_chart(
results,
throughput_file
)
print()
print("Charts generated:")
print(latency_file)
print(throughput_file)
if __name__ == "__main__":
main()
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