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* Add a binary cache for compiled shaders using glProgramBinary
* Add additional sanity checking to shader binary save and load, hook up cache clear and menu option
* Fix default init of shader cache data struct and clear gl errors before glGetError calls
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Co-authored-by: RunitaiLinden <davep@lindenlab.com>
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preferences that no longer exist.
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DRTVWR-559 merge 539
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for adjusting legacy gamma when probe ambiance is 0 and dynamic exposure when probe ambiance is not zero.
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Value gets rounded towards closest increment, no point displaying smaller values
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preferences and featuretable. Remove Reflections checkbox. Don't persist reflection probe volume display between sessions. Incidental decruft.
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enabling AutoFPS
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brightness to allow ACES Hill all the time.
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prioritization. Incidental decruft.
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exposure controls not persist, limit exposure range, and do a debug gl pass.
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* SL-19538 Remove hacky ambiance scale and take the mittens off probe ambiance values. Fix for sky brightening being done in sRGB space.
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# Conflicts:
# indra/integration_tests/llui_libtest/CMakeLists.txt
# indra/newview/llfloateravatarrendersettings.cpp
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# Conflicts:
# indra/cmake/CMakeLists.txt
# indra/newview/skins/default/xui/es/floater_tools.xml
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The viewer currently presents a startling "Grid emergency" warning if an
unrecognized error is returned from login. Let's tone this down a bit
and present the error as it is: an unrecognized login failure rather
than SLearth exploding.
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material selector, incidental decruft.
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material swatch to "Material"
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commit -- immediately apply scale to sphere probes.
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# Conflicts:
# indra/llcommon/llsdserialize.cpp
# indra/llcommon/llsdserialize.h
# indra/newview/llfilepicker.h
# indra/newview/llfilepicker_mac.h
# indra/newview/llfilepicker_mac.mm
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running under wine)
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INTL-370 Translate the word Feed for new Viewer Profiles
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wrong color space.
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# Conflicts:
# doc/contributions.txt
# indra/cmake/Copy3rdPartyLibs.cmake
# indra/cmake/FindOpenJPEG.cmake
# indra/cmake/OpenJPEG.cmake
# indra/integration_tests/llui_libtest/CMakeLists.txt
# indra/newview/CMakeLists.txt
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speed matters. (#64)
This commit adds the HBXX64 and HBXX128 classes for use as a drop-in
replacement for the slow LLMD5 hashing class, where speed matters and
backward compatibility (with standard hashing algorithms) and/or
cryptographic hashing qualities are not required.
It also replaces LLMD5 with HBXX* in a few existing hot (well, ok, just
"warm" for some) paths meeting the above requirements, while paving the way for
future use cases, such as in the DRTVWR-559 and sibling branches where the slow
LLMD5 is used (e.g. to hash materials and vertex buffer cache entries), and
could be use such a (way) faster algorithm with very significant benefits and
no negative impact.
Here is the comment I added in indra/llcommon/hbxx.h:
// HBXXH* classes are to be used where speed matters and cryptographic quality
// is not required (no "one-way" guarantee, though they are likely not worst in
// this respect than MD5 which got busted and is now considered too weak). The
// xxHash code they are built upon is vectorized and about 50 times faster than
// MD5. A 64 bits hash class is also provided for when 128 bits of entropy are
// not needed. The hashes collision rate is similar to MD5's.
// See https://github.com/Cyan4973/xxHash#readme for details.
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speed matters. (#64)
This commit adds the HBXX64 and HBXX128 classes for use as a drop-in
replacement for the slow LLMD5 hashing class, where speed matters and
backward compatibility (with standard hashing algorithms) and/or
cryptographic hashing qualities are not required.
It also replaces LLMD5 with HBXX* in a few existing hot (well, ok, just
"warm" for some) paths meeting the above requirements, while paving the way for
future use cases, such as in the DRTVWR-559 and sibling branches where the slow
LLMD5 is used (e.g. to hash materials and vertex buffer cache entries), and
could be use such a (way) faster algorithm with very significant benefits and
no negative impact.
Here is the comment I added in indra/llcommon/hbxx.h:
// HBXXH* classes are to be used where speed matters and cryptographic quality
// is not required (no "one-way" guarantee, though they are likely not worst in
// this respect than MD5 which got busted and is now considered too weak). The
// xxHash code they are built upon is vectorized and about 50 times faster than
// MD5. A 64 bits hash class is also provided for when 128 bits of entropy are
// not needed. The hashes collision rate is similar to MD5's.
// See https://github.com/Cyan4973/xxHash#readme for details.
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