a1db799824
Bug: skia:11768 Change-Id: I6107362457dce380e3fb1647ad58d8e33e453e2d Reviewed-on: https://skia-review.googlesource.com/c/skia/+/388743 Commit-Queue: Eric Boren <borenet@google.com> Reviewed-by: Ravi Mistry <rmistry@google.com>
92 lines
2.5 KiB
Python
92 lines
2.5 KiB
Python
# Copyright 2018 The Chromium 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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"""Writes a Perf-formated json file with stats about the given cpp file."""
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from __future__ import print_function
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import csv
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import json
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import os
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import re
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import subprocess
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import sys
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def main():
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input_file = sys.argv[1]
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out_dir = sys.argv[2]
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keystr = sys.argv[3]
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propstr = sys.argv[4]
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bloaty_path = sys.argv[5]
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total_size_bytes_key = sys.argv[6]
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magic_seperator = sys.argv[7]
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results = {
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'key': { },
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'results': { }
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}
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props = propstr.split(' ')
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for i in range(0, len(props), 2):
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results[props[i]] = props[i+1]
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keys = keystr.split(' ')
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for i in range(0, len(keys), 2):
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results['key'][keys[i]] = keys[i+1]
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# Human "readable" overview as an FYI.
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print(magic_seperator)
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print('Note that template instantiations are grouped together, '
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'thus the elided types.')
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print(subprocess.check_output([bloaty_path, input_file,
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'-d', 'sections,shortsymbols', '-n', '200']))
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print(' ')
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sections = subprocess.check_output([bloaty_path, input_file, '-d',
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'sections', '-n', '0', '--csv'])
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name = os.path.basename(input_file)
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r = {
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# Use the default config as stats about the whole binary
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'default' : {
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total_size_bytes_key: os.path.getsize(input_file)
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},
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}
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# report section by section data. Sections are like .text, .data, etc.
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for section_row in sections.strip().split('\n'):
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# Follows schema sections,vmsize,filesize
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parts = section_row.split(',')
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if len(parts) < 3 or parts[0] == 'sections':
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# If we see section, that's the table header
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continue
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section = parts[0]
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# part[1] is "VM Size", part[2] is "File Size". From the bloaty docs:
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# The "VM SIZE" column tells you how much space the binary will take
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# when it is loaded into memory. The "FILE SIZE" column tells you about
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# how much space the binary is taking on disk.
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vmsize = parts[1] # In bytes
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filesize = parts[2] # In bytes
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section = re.sub('[^0-9a-zA-Z_]', '_', section)
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r['section'+section] = {
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'in_file_size_bytes': int(filesize),
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'vm_size_bytes': int(vmsize),
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}
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print(magic_seperator)
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results['results'][name] = r
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# Make debugging easier
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print(json.dumps(results, indent=2))
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with open(os.path.join(out_dir, name+'.json'), 'w') as output:
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output.write(json.dumps(results, indent=2))
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if __name__ == '__main__':
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main()
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