80 lines
2.2 KiB
Python
80 lines
2.2 KiB
Python
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#!/usr/bin/env python3
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# vim:fenc=utf-8:ts=2:sw=2:softtabstop=2:expandtab:
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# Copyright 2022 the V8 project authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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import sys
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import re
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liftoff_regex = re.compile('^Compiled function .* using Liftoff, '
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'.*bodysize ([0-9]+) codesize ([0-9]+)$')
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turbofan_regex = re.compile('^Compiled function .* using TurboFan, '
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'.*bodysize ([0-9]+) codesize ([0-9]+) ')
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wasm2js_regex = re.compile('^Compiled WasmToJS wrapper .* '
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'codesize ([0-9]+)$')
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def main():
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print('Reading --trace-wasm-compilation-times lines from stdin...')
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liftoff_values = []
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turbofan_values = []
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wasm2js_values = []
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for line in sys.stdin:
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match(line, liftoff_regex, liftoff_values)
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match(line, turbofan_regex, turbofan_values)
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match_wasm2js(line, wasm2js_values)
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evaluate('Liftoff', liftoff_values)
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evaluate('TurboFan', turbofan_values)
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evaluate_wasm2js(wasm2js_values)
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def match(line, regex, array):
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m = regex.match(line)
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if m:
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array.append([int(m.group(1)), int(m.group(2))])
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def match_wasm2js(line, array):
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m = wasm2js_regex.match(line)
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if m:
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array.append(int(m.group(1)))
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def evaluate(name, values):
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n = len(values)
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if n == 0:
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print(f'No values for {name}')
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return
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print(f'Computing base and factor for {name} based on {n} values')
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sum_xy = sum(x * y for [x, y] in values)
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sum_x = sum(x for [x, y] in values)
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sum_y = sum(y for [x, y] in values)
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sum_xx = sum(x * x for [x, y] in values)
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factor = (n * sum_xy - sum_x * sum_y) / (n * sum_xx - sum_x * sum_x)
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base = (sum_y - factor * sum_x) / n
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print(f'--> [{name}] Trend line: base: {base:.2f}, factor {factor:.2f}')
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min_y = min(y for [x, y] in values)
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simple_factor = (sum_y - n * min_y) / sum_x
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print(f'--> [{name}] Simple analysis: Min {min_y}, '
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f'factor {simple_factor:.2f}')
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def evaluate_wasm2js(values):
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n = len(values)
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if n == 0:
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print('No wasm2js wrappers')
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return
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print(f'--> [Wasm2js wrappers] {n} compiled, size min {min(values)}, '
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f'max {max(values)}, avg {(sum(values) / n):.2f}')
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main()
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