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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 | import json
import os
def load_reports(report_dir):
models = {}
for file in os.listdir(report_dir):
path = os.path.join(
report_dir,
file
)
if file.endswith("_genome.json"):
name = file.replace(
"_genome.json",
""
)
models.setdefault(name, {})
with open(path, "r") as f:
models[name]["genome"] = json.load(f)
elif file.endswith("_benchmark.json"):
name = file.replace(
"_benchmark.json",
""
)
models.setdefault(name, {})
with open(path, "r") as f:
models[name]["benchmark"] = json.load(f)
return models
def generate_comparison(report_dir):
reports = load_reports(report_dir)
table = []
for name, data in reports.items():
genome = data.get(
"genome",
{}
)
benchmark = data.get(
"benchmark",
{}
)
table.append({
"model": name,
"parameters": genome.get(
"model",
{}
).get(
"parameter_count"
),
"layers": genome.get(
"model",
{}
).get(
"num_hidden_layers"
),
"hidden_size": genome.get(
"model",
{}
).get(
"hidden_size"
),
"latency_ms": benchmark.get(
"latency",
{}
).get(
"average_ms"
),
"throughput": benchmark.get(
"throughput",
{}
).get(
"samples_per_second"
)
})
return table
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