- 10 Mar, 2017 1 commit
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Thomas Davies authored
This keeps track of how many calls have been made to read symbols or bits. A given syntax element may make multiple calls to symbol decoding functions, and these variables keep track of the entropy decoding engine throughput. Change-Id: Iab3a720cbfe68f8d5ca3e4c415f7baa683b24268
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- 19 Oct, 2016 1 commit
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Michael Bebenita authored
This patch adds bit account infrastructure to the bit reader API. When configured with --enable-accounting, every bit reader API function records the number of bits necessary to decoding a symbol. Accounting symbol entries are collected in global accounting data structure, that can be used to understand exactly where bits are spent (http://aomanalyzer.org). The data structure is cleared and reused each frame to reduce memory usage. When configured without --enable-accounting, bit accounting does not incur any runtime overhead. All aom_read_xxx functions now have an additional string parameter that specifies the symbol name. By default, the ACCT_STR macro is used (which expands to __func__). For more precise accounting, these should be replaced with more descriptive names. Change-Id: Ia2e1343cb842c9391b12b77272587dfbe307a56d
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- 07 Sep, 2016 1 commit
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Michael Bebenita authored
This patch adds bit account infrastructure to the bit reader API. When configured with --enable-accounting, every bit reader API function records the number of bits necessary to decoding a symbol. Accounting symbol entries are collected in global accounting data structure, that can be used to understand exactly where bits are spent (http://aomanalyzer.org). The data structure is cleared and reused each frame to reduce memory usage. When configured without --enable-accounting, bit accounting does not incur any runtime overhead. All aom_read_xxx functions now have an additional string parameter that specifies the symbol name. By default, the ACCT_STR macro is used (which expands to __func__). For more precise accounting, these should be replaced with more descriptive names. Change-Id: Ia2e1343cb842c9391b12b77272587dfbe307a56d
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