535776eb28
Reason for revert: Some bots crashing. Original issue's description: > nanobench: lazily decode bitmaps in .skps. > > This cuts down on tool overhead when running something like recording only, > $ out/Release/nanobench --match skp --config nonrendering > which doesn't usually ever need to decode the images. > > The actual measurements for recording don't change, as the decode is not in the timed section. It just skips irrelevant code, removing it from the profile and making the tool run faster. > > This does, however, make a significant difference for playback speed. Most skps draw faster with this patch, some slower. I don't really have a good intuition for what's going on here. There is a fixed clip acting as a viewport, so there are probably lots of images that don't ever need to be decoded. Ideas? Is this perhaps because we're now blitting from smaller, partially decoded source images? > > ~/skia (clean) $ compare clean.log lazy-decode-bitmaps.log > tabl_slashdot.skp_1 2.76ms -> 4.33ms 1.57x > tabl_slashdot.skp_1_mpd 2.79ms -> 4.07ms 1.46x > tabl_sahadan.skp_1 3.41ms -> 4.87ms 1.43x > tabl_googleblog.skp_1 1.52ms -> 2.05ms 1.35x > tabl_techmeme.skp_1_mpd 1.14ms -> 1.51ms 1.32x > tabl_transformice.skp_1 2.61ms -> 3.43ms 1.31x > tabl_sahadan.skp_1_mpd 3.54ms -> 4.48ms 1.26x > tabl_techmeme.skp_1 1.01ms -> 1.27ms 1.26x > tabl_nytimes.skp_1_mpd 1ms -> 1.23ms 1.23x > tabl_worldjournal.skp_1_mpd 1.98ms -> 2.43ms 1.23x > tabl_pravda.skp_1_mpd 2.05ms -> 2.51ms 1.22x > tabl_transformice.skp_1_mpd 2.75ms -> 3.19ms 1.16x > tabl_nytimes.skp_1 874us -> 1.01ms 1.15x > tabl_pravda.skp_1 1.83ms -> 1.99ms 1.09x > tabl_worldjournal.skp_1 1.76ms -> 1.91ms 1.09x > desk_wowwiki.skp_1_mpd 3.7ms -> 3.9ms 1.05x > tabl_digg.skp_1 3.99ms -> 4.16ms 1.04x > tabl_ukwsj.skp_1_mpd 3ms -> 3.12ms 1.04x > desk_booking.skp_1 3.74ms -> 3.81ms 1.02x > desk_googlespreadsheetdashed.skp_1 10.6ms -> 10.6ms 1x > tabl_ukwsj.skp_1 2.88ms -> 2.89ms 1x > desk_googlespreadsheetdashed.skp_1_mpd 11.8ms -> 11.8ms 1x > desk_jsfiddlehumperclip.skp_1_mpd 891us -> 888us 1x > desk_googlespreadsheet.skp_1 4.65ms -> 4.62ms 0.99x > tabl_gspro.skp_1_mpd 1.97ms -> 1.94ms 0.99x > desk_booking.skp_1_mpd 4.1ms -> 4ms 0.98x > desk_carsvg.skp_1 18.2ms -> 17.7ms 0.97x > desk_gmailthread.skp_1_mpd 2.81ms -> 2.73ms 0.97x > desk_tigersvg.skp_1_mpd 19.5ms -> 18.9ms 0.97x > desk_mapsvg.skp_1 88.4ms -> 85.6ms 0.97x > tabl_cnet.skp_1_mpd 1.43ms -> 1.38ms 0.97x > desk_jsfiddlebigcar.skp_1 1.26ms -> 1.22ms 0.96x > desk_gws.skp_1 1.87ms -> 1.8ms 0.96x > desk_linkedin.skp_1 2.07ms -> 1.98ms 0.96x > tabl_deviantart.skp_1_mpd 118ms -> 113ms 0.96x > tabl_cnet.skp_1 1.2ms -> 1.14ms 0.95x > tabl_androidpolice.skp_1_mpd 5.95ms -> 5.63ms 0.95x > desk_sfgate.skp_1 1.75ms -> 1.64ms 0.94x > desk_twitter.skp_1 74ms -> 69.6ms 0.94x > desk_youtube.skp_1_mpd 3.17ms -> 2.96ms 0.93x > desk_gmailthread.skp_1 2.73ms -> 2.54ms 0.93x > desk_silkfinance.skp_1_mpd 1.71ms -> 1.59ms 0.93x > desk_jsfiddlebigcar.skp_1_mpd 1.45ms -> 1.35ms 0.93x > desk_pokemonwiki.skp_1_mpd 2.72ms -> 2.51ms 0.92x > desk_gws.skp_1_mpd 2.14ms -> 1.98ms 0.92x > desk_googlehome.skp_1 563us -> 517us 0.92x > desk_espn.skp_1 4.24ms -> 3.89ms 0.92x > tabl_culturalsolutions.skp_1 12.7ms -> 11.6ms 0.91x > desk_sfgate.skp_1_mpd 1.91ms -> 1.74ms 0.91x > tabl_hsfi.skp_1 1.06ms -> 966us 0.91x > desk_samoasvg.skp_1_mpd 10.5ms -> 9.47ms 0.91x > desk_facebook.skp_1_mpd 3.8ms -> 3.43ms 0.9x > desk_youtube.skp_1 3.52ms -> 3.14ms 0.89x > desk_ebay.skp_1_mpd 2.95ms -> 2.62ms 0.89x > desk_samoasvg.skp_1 10.9ms -> 9.66ms 0.89x > desk_googlespreadsheet.skp_1_mpd 5.59ms -> 4.94ms 0.88x > desk_mapsvg.skp_1_mpd 100ms -> 87.9ms 0.88x > desk_espn.skp_1_mpd 4.7ms -> 4.12ms 0.88x > desk_wordpress.skp_1_mpd 1.92ms -> 1.68ms 0.87x > tabl_deviantart.skp_1 140ms -> 122ms 0.87x > tabl_cuteoverload.skp_1_mpd 4.41ms -> 3.83ms 0.87x > desk_tigersvg.skp_1 19.6ms -> 17ms 0.87x > tabl_googlecalendar.skp_1 4.01ms -> 3.44ms 0.86x > desk_blogger.skp_1 2.49ms -> 2.14ms 0.86x > desk_chalkboard.skp_1_mpd 52.7ms -> 45ms 0.85x > desk_weather.skp_1 2.88ms -> 2.46ms 0.85x > desk_chalkboard.skp_1 51ms -> 43.4ms 0.85x > desk_yahooanswers.skp_1 2.74ms -> 2.32ms 0.85x > desk_forecastio.skp_1_mpd 1.26ms -> 1.07ms 0.85x > tabl_androidpolice.skp_1 5.18ms -> 4.34ms 0.84x > desk_yahooanswers.skp_1_mpd 3.44ms -> 2.85ms 0.83x > tabl_cnn.skp_1_mpd 2.59ms -> 2.15ms 0.83x > desk_pinterest.skp_1 2.69ms -> 2.22ms 0.83x > tabl_hsfi.skp_1_mpd 1.6ms -> 1.32ms 0.82x > tabl_culturalsolutions.skp_1_mpd 13.8ms -> 11.3ms 0.82x > desk_twitter.skp_1_mpd 76.6ms -> 63ms 0.82x > desk_ebay.skp_1 3.11ms -> 2.51ms 0.81x > tabl_mlb.skp_1_mpd 3.17ms -> 2.53ms 0.8x > tabl_mozilla.skp_1 2.42ms -> 1.91ms 0.79x > desk_pokemonwiki.skp_1 2.84ms -> 2.22ms 0.78x > desk_carsvg.skp_1_mpd 23.3ms -> 17.8ms 0.77x > desk_wowwiki.skp_1 4.21ms -> 3.21ms 0.76x > desk_amazon.skp_1 963us -> 728us 0.76x > desk_css3gradients.skp_1 2.58ms -> 1.92ms 0.74x > tabl_cuteoverload.skp_1 4.55ms -> 3.38ms 0.74x > tabl_cnn.skp_1 3.13ms -> 2.29ms 0.73x > tabl_googleblog.skp_1_mpd 2.32ms -> 1.7ms 0.73x > desk_mobilenews.skp_1 3.65ms -> 2.61ms 0.71x > desk_googleplus.skp_1 3.76ms -> 2.66ms 0.71x > tabl_mozilla.skp_1_mpd 2.88ms -> 2.03ms 0.71x > desk_pinterest.skp_1_mpd 3.17ms -> 2.21ms 0.7x > desk_css3gradients.skp_1_mpd 2.98ms -> 2.07ms 0.69x > desk_silkfinance.skp_1 2.06ms -> 1.42ms 0.69x > desk_facebook.skp_1 4.5ms -> 3.07ms 0.68x > desk_mobilenews.skp_1_mpd 4.05ms -> 2.73ms 0.68x > desk_baidu.skp_1_mpd 2.73ms -> 1.81ms 0.66x > desk_weather.skp_1_mpd 3.93ms -> 2.5ms 0.64x > desk_wordpress.skp_1 2.15ms -> 1.36ms 0.63x > desk_googlehome.skp_1_mpd 1.02ms -> 605us 0.59x > desk_fontwipe.skp_1 722us -> 402us 0.56x > desk_fontwipe.skp_1_mpd 897us -> 486us 0.54x > desk_baidu.skp_1 3.02ms -> 1.6ms 0.53x > desk_forecastio.skp_1 2.01ms -> 999us 0.5x > desk_amazon.skp_1_mpd 1.77ms -> 860us 0.49x > > BUG=skia: > > Committed: https://skia.googlesource.com/skia/+/7e225bdb1f00ae4aed524ff8d0a61df3d3abb109 TBR=reed@google.com,robertphillips@google.com,scroggo@google.com,mtklein@chromium.org NOTREECHECKS=true NOTRY=true BUG=skia: Review URL: https://codereview.chromium.org/759753004
40 lines
824 B
Python
40 lines
824 B
Python
# GYP file to build performance testbench.
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#
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{
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'includes': [
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'apptype_console.gypi',
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],
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'targets': [
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{
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'target_name': 'nanobench',
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'type': 'executable',
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'sources': [
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'../gm/gm.cpp',
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'../bench/GMBench.cpp',
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'../bench/RecordingBench.cpp',
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'../bench/SKPBench.cpp',
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'../bench/nanobench.cpp',
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],
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'includes': [
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'bench.gypi',
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'gmslides.gypi',
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],
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'dependencies': [
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'flags.gyp:flags_common',
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'jsoncpp.gyp:jsoncpp',
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'skia_lib.gyp:skia_lib',
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'tools.gyp:crash_handler',
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'tools.gyp:proc_stats',
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'tools.gyp:timer',
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],
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'conditions': [
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['skia_android_framework', {
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'libraries': [
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'-lskia',
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],
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}],
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],
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},
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],
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}
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