| Commit message (Collapse) | Author | Age | Files | Lines |
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The current SSA def validation we do in nir_validate validates three
things:
1. That each SSA def is only ever used in the function in which it is
defined.
2. That an nir_src exists in an SSA def's use list if and only if it
points to that SSA def.
3. That each nir_src is in the correct use list (uses or if_uses) based
on whether it's an if condition or not.
The way we were doing this before was that we had a hash table which
provided a map from SSA def to a small ssa_def_validate_state data
structure which contained a pointer to the nir_function_impl and two
hash sets, one for each use list. This meant piles of allocation and
creating of little hash sets. It also meant one hash lookup for each
SSA def plus one per use as well as two per src (because we have to look
up the ssa_def_validate_state and then look up the use.) It also
involved a second walk over the instructions as a post-validate step.
This commit changes us to use a single low-collision hash set of SSA
sources for all of this by being a bit more clever. We accomplish the
objectives above as follows:
1. The list is clear when we start validating a function. If the
nir_src references an SSA def which is defined in a different
function, it simply won't be in the set.
2. When validating the SSA defs, we walk the uses and verify that they
have is_ssa set and that the SSA def points to the SSA def we're
validating. This catches the case of a nir_src being in the wrong
list. We then put the nir_src in the set and, when we validate the
nir_src, we assert that it's in the set. This takes care of any
cases where a nir_src isn't in the use list. After checking that
the nir_src is in the set, we remove it from the set and, at the end
of nir_function_impl validation, we assert that the set is empty.
This takes care of any cases where a nir_src is in a use list but
the instruction is no longer in the shader.
3. When we put a nir_src in the set, we set the bottom bit of the
pointer to 1 if it's the condition of an if. This lets us detect
whether or not a nir_src is in the right list.
When running shader-db with an optimized debug build of mesa on my
laptop, I get the following shader-db CPU times:
With NIR_VALIDATE=0 3033.34 seconds
Before this commit 20224.83 seconds
After this commit 6255.50 seconds
Assuming shader-db is a representative sampling of GLSL shaders, this
means that making this change yields an 81% reduction in the time spent
in nir_validate. It still isn't cheap but enabling validation now only
increases compile times by 2x instead of 6.6x.
Reviewed-by: Eric Anholt <[email protected]>
Reviewed-by: Thomas Helland <[email protected]>
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All of our hash tables and sets are already using ralloc. There's
really no good reason why we don't just make a ralloc context rather
than try to remember to clean everything up manually.
Reviewed-by: Eric Anholt <[email protected]>
Reviewed-by: Thomas Helland <[email protected]>
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The nested fma calls were supposed to implement
x_new = x + x * (1 - x*src),
but instead current code is equivalent to
x_new = x - x * (1 - x*src).
The result is that Newton-Raphson steps don't improve precision at all.
This patch fixes this problem.
Bugzilla: https://bugs.freedesktop.org/show_bug.cgi?id=110435
Reviewed-by: Kenneth Graunke <[email protected]>
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This represents a float vec4 constant color, as passed to glBlendColor.
While the existing 4 shader sysvals are retained to minimize code churn,
a single vectorized intrinsic is required for efficient blending on
vector architectures. (This may also apply to archictectures like
Bifrost where ALU is scalar but load/store is vector; it largely depends
on how blending is implemented per-driver.)
Signed-off-by: Alyssa Rosenzweig <[email protected]>
Reviewed-by: Ian Romanick <[email protected]>
Reviewed-by: Eric Anholt <[email protected]>
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We add enums corresponding to (GLES) blend state to shader_enums.h,
complementing the existing advanced blending enums in the file. This
allows us to represent blending state in a driver-agnostic, API-agnostic
way to permit lowering.
Signed-off-by: Alyssa Rosenzweig <[email protected]>
Reviewed-by: Ian Romanick <[email protected]>
Acked-by: Eric Anholt <[email protected]>
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This can be used by both etnaviv and freedreno/a2xx as they are both vec4
architectures with some instructions being scalar-only.
Signed-off-by: Jonathan Marek <[email protected]>
Reviewed-by: Christian Gmeiner <[email protected]>
Reviewed-by: Eric Anholt <[email protected]>
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It complains about mixing GLboolean and bool in the |= expression.
Reviewed-by: Roland Scheidegger <[email protected]>
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With this reassociation, this lowering path is still beneficial.
Ice Lake
total instructions in shared programs: 17220191 -> 17207181 (-0.08%)
instructions in affected programs: 999871 -> 986861 (-1.30%)
helped: 3703
HURT: 17
helped stats (abs) min: 1 max: 686 x̄: 3.52 x̃: 3
helped stats (rel) min: 0.09% max: 51.97% x̄: 2.21% x̃: 1.35%
HURT stats (abs) min: 1 max: 9 x̄: 1.47 x̃: 1
HURT stats (rel) min: 0.08% max: 4.55% x̄: 0.78% x̃: 0.55%
95% mean confidence interval for instructions value: -4.01 -2.99
95% mean confidence interval for instructions %-change: -2.29% -2.11%
Instructions are helped.
total cycles in shared programs: 360871298 -> 360755040 (-0.03%)
cycles in affected programs: 9931334 -> 9815076 (-1.17%)
helped: 2388
HURT: 1569
helped stats (abs) min: 1 max: 10228 x̄: 93.54 x̃: 18
helped stats (rel) min: <.01% max: 74.11% x̄: 3.36% x̃: 1.07%
HURT stats (abs) min: 1 max: 1917 x̄: 68.27 x̃: 22
HURT stats (rel) min: <.01% max: 44.90% x̄: 3.44% x̃: 1.72%
95% mean confidence interval for cycles value: -39.48 -19.28
95% mean confidence interval for cycles %-change: -0.86% -0.46%
Cycles are helped.
total spills in shared programs: 12355 -> 12159 (-1.59%)
spills in affected programs: 295 -> 99 (-66.44%)
helped: 2
HURT: 1
total fills in shared programs: 25398 -> 25207 (-0.75%)
fills in affected programs: 288 -> 97 (-66.32%)
helped: 2
HURT: 1
LOST: 3
GAINED: 44
Iron Lake
total instructions in shared programs: 8169225 -> 8159729 (-0.12%)
instructions in affected programs: 1025712 -> 1016216 (-0.93%)
helped: 3352
HURT: 0
helped stats (abs) min: 1 max: 6 x̄: 2.83 x̃: 3
helped stats (rel) min: 0.15% max: 12.00% x̄: 1.51% x̃: 1.05%
95% mean confidence interval for instructions value: -2.86 -2.80
95% mean confidence interval for instructions %-change: -1.56% -1.46%
Instructions are helped.
total cycles in shared programs: 188656796 -> 188612280 (-0.02%)
cycles in affected programs: 18633584 -> 18589068 (-0.24%)
helped: 3085
HURT: 14
helped stats (abs) min: 2 max: 72 x̄: 14.45 x̃: 12
helped stats (rel) min: 0.02% max: 5.73% x̄: 0.73% x̃: 0.31%
HURT stats (abs) min: 2 max: 4 x̄: 3.71 x̃: 4
HURT stats (rel) min: <.01% max: <.01% x̄: <.01% x̃: <.01%
95% mean confidence interval for cycles value: -14.55 -14.18
95% mean confidence interval for cycles %-change: -0.76% -0.69%
Cycles are helped.
GM45
total instructions in shared programs: 5026905 -> 5021856 (-0.10%)
instructions in affected programs: 584169 -> 579120 (-0.86%)
helped: 1776
HURT: 0
helped stats (abs) min: 1 max: 6 x̄: 2.84 x̃: 3
helped stats (rel) min: 0.15% max: 11.11% x̄: 1.43% x̃: 0.98%
95% mean confidence interval for instructions value: -2.88 -2.80
95% mean confidence interval for instructions %-change: -1.50% -1.37%
Instructions are helped.
total cycles in shared programs: 129047376 -> 129018918 (-0.02%)
cycles in affected programs: 12941924 -> 12913466 (-0.22%)
helped: 1722
HURT: 14
helped stats (abs) min: 4 max: 72 x̄: 16.56 x̃: 18
helped stats (rel) min: 0.02% max: 5.73% x̄: 0.72% x̃: 0.30%
HURT stats (abs) min: 2 max: 4 x̄: 3.71 x̃: 4
HURT stats (rel) min: <.01% max: <.01% x̄: <.01% x̃: <.01%
95% mean confidence interval for cycles value: -16.65 -16.13
95% mean confidence interval for cycles %-change: -0.76% -0.66%
Cycles are helped.
Reviewed-by: Matt Turner <[email protected]>
Reviewed-by: Samuel Pitoiset <[email protected]>
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After Samuel reported the bisect, I was able to find the bug by
inspection. Good thing for well-named varibles. :)
Unfortunately, this undoes almost all of the benefit of the original
patch.
Ice Lake
total instructions in shared programs: 17183159 -> 17218166 (0.20%)
instructions in affected programs: 1308722 -> 1343729 (2.67%)
helped: 98
HURT: 4746
helped stats (abs) min: 1 max: 1 x̄: 1.00 x̃: 1
helped stats (rel) min: 0.47% max: 2.70% x̄: 0.60% x̃: 0.57%
HURT stats (abs) min: 1 max: 691 x̄: 7.40 x̃: 8
HURT stats (rel) min: 0.10% max: 700.00% x̄: 5.82% x̃: 2.83%
95% mean confidence interval for instructions value: 6.82 7.64
95% mean confidence interval for instructions %-change: 5.22% 6.15%
Instructions are HURT.
total cycles in shared programs: 360705959 -> 360853522 (0.04%)
cycles in affected programs: 10754380 -> 10901943 (1.37%)
helped: 1594
HURT: 3331
helped stats (abs) min: 1 max: 1896 x̄: 119.81 x̃: 60
helped stats (rel) min: <.01% max: 35.48% x̄: 5.06% x̃: 3.64%
HURT stats (abs) min: 1 max: 10208 x̄: 101.63 x̃: 38
HURT stats (rel) min: 0.01% max: 878.95% x̄: 9.01% x̃: 2.78%
95% mean confidence interval for cycles value: 21.11 38.81
95% mean confidence interval for cycles %-change: 3.76% 5.15%
Cycles are HURT.
total spills in shared programs: 12158 -> 12355 (1.62%)
spills in affected programs: 98 -> 295 (201.02%)
helped: 1
HURT: 2
total fills in shared programs: 25204 -> 25398 (0.77%)
fills in affected programs: 94 -> 288 (206.38%)
helped: 0
HURT: 3
LOST: 15
GAINED: 8
Iron Lake
total instructions in shared programs: 8121430 -> 8166733 (0.56%)
instructions in affected programs: 1148353 -> 1193656 (3.95%)
helped: 2
HURT: 4046
helped stats (abs) min: 1 max: 1 x̄: 1.00 x̃: 1
helped stats (rel) min: 1.85% max: 1.92% x̄: 1.89% x̃: 1.89%
HURT stats (abs) min: 1 max: 43 x̄: 11.20 x̃: 11
HURT stats (rel) min: 0.20% max: 716.67% x̄: 7.40% x̃: 3.87%
95% mean confidence interval for instructions value: 11.02 11.37
95% mean confidence interval for instructions %-change: 6.84% 7.94%
Instructions are HURT.
total cycles in shared programs: 188376326 -> 188601568 (0.12%)
cycles in affected programs: 27416674 -> 27641916 (0.82%)
helped: 68
HURT: 3947
helped stats (abs) min: 2 max: 222 x̄: 13.88 x̃: 6
helped stats (rel) min: <.01% max: 1.28% x̄: 0.15% x̃: 0.01%
HURT stats (abs) min: 2 max: 670 x̄: 57.31 x̃: 64
HURT stats (rel) min: <.01% max: 1811.11% x̄: 4.11% x̃: 1.09%
95% mean confidence interval for cycles value: 55.01 57.20
95% mean confidence interval for cycles %-change: 2.88% 5.19%
Cycles are HURT.
LOST: 35
GAINED: 3
GM45
total instructions in shared programs: 4979794 -> 5003551 (0.48%)
instructions in affected programs: 635174 -> 658931 (3.74%)
helped: 1
HURT: 2142
helped stats (abs) min: 1 max: 1 x̄: 1.00 x̃: 1
helped stats (rel) min: 1.85% max: 1.85% x̄: 1.85% x̃: 1.85%
HURT stats (abs) min: 1 max: 43 x̄: 11.09 x̃: 11
HURT stats (rel) min: 0.20% max: 716.67% x̄: 7.00% x̃: 3.53%
95% mean confidence interval for instructions value: 10.85 11.33
95% mean confidence interval for instructions %-change: 6.25% 7.74%
Instructions are HURT.
total cycles in shared programs: 128519586 -> 128654990 (0.11%)
cycles in affected programs: 17635304 -> 17770708 (0.77%)
helped: 46
HURT: 2088
helped stats (abs) min: 4 max: 220 x̄: 18.13 x̃: 6
helped stats (rel) min: <.01% max: 1.28% x̄: 0.15% x̃: 0.01%
HURT stats (abs) min: 2 max: 670 x̄: 65.25 x̃: 66
HURT stats (rel) min: <.01% max: 1464.29% x̄: 4.05% x̃: 0.99%
95% mean confidence interval for cycles value: 61.75 65.15
95% mean confidence interval for cycles %-change: 2.58% 5.34%
Cycles are HURT.
LOST: 38
GAINED: 38
Fixes: 5b908db604b ("nir/flrp: Lower flrp(±1, b, c) and flrp(a, ±1, c) differently")
Reported-by: Samuel Pitoiset <[email protected]>
Reviewed-by: Matt Turner <[email protected]>
Reviewed-by: Samuel Pitoiset <[email protected]>
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This was missed in e00fa99b08b3.
Reviewed-by: Caio Marcelo de Oliveira Filho <[email protected]>
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Lower sin and cos using Nick's fast sin/cos approximation from
https://web.archive.org/web/20180105155939/http://forum.devmaster.net/t/fast-and-accurate-sine-cosine/9648
It's suitable for GLES2, but it throws warnings in dEQP GLES3 precision tests.
Reviewed-by: Connor Abbott <[email protected]>
Reviewed-by: Qiang Yu <[email protected]>
Tested-by: Qiang Yu <[email protected]>
Reviewed-by: Christian Gmeiner <[email protected]>
Signed-off-by: Vasily Khoruzhick <[email protected]>
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In a previous verion of this patch, Jason commented,
"Re-associating based on whether or not something has a constant
value of 1.0 seems a bit sneaky. I think it's well within the rules
but it seems like something that could bite you."
That is possibly true. The reassociation will generate different
results if fabs(b) >= 2**24 and fabs(c) < 0.5. The delta increases as
fabs(c) approaches 0.
However, i965 has done this same reassociation indirectly for years.
We would previously allow nir_op_flrp on all pre-Gen11 hardware even
though Gen4 and Gen5 do not have a LRP instruction. Optimizations in
nir_opt_algebraic would convert expressions like a+c(b-a) into flrp(a,
b, c). On Gen7+, the hardware performs the same arithmetic as
a(1-c)+bc. Gen6 seems to implement LRP as a+c(b-a). On Gen4 and
Gen5, we would lower LRP to a sequence of instructions that implement
a(1-c)+bc. The lowering happens after all constant folding, so we
would litterally generate a 1+(-1) instruction sequence in this
scenario: one instruction to load either 1 or -1 in a register, and
another instruction to add either -1 or 1 to it.
This patch just cuts out the middle man. Do the reassociation that
we've always done, but do it explicitly at a time when we can benefit
from other optimizations.
A few cases that were hurt by "nir: Lower flrp(±1, b, c) and flrp(a,
±1, c) differently" are restored by this patch. This includes a few
shaders in ET:QW.
I tried a similar thing for open-coded flrp(-1, b, c), and it hurt
instructions on 35 shaders for ILK without helping any. The helped /
hurt cycles was about even.
No changes on any other Intel platforms.
Iron Lake and GM45 had similar results. (Iron Lake shown)
total instructions in shared programs: 8172020 -> 8164367 (-0.09%)
instructions in affected programs: 1089851 -> 1082198 (-0.70%)
helped: 3285
HURT: 64
helped stats (abs) min: 1 max: 6 x̄: 2.35 x̃: 2
helped stats (rel) min: 0.13% max: 12.00% x̄: 1.15% x̃: 0.83%
HURT stats (abs) min: 1 max: 1 x̄: 1.00 x̃: 1
HURT stats (rel) min: 0.24% max: 0.64% x̄: 0.39% x̃: 0.38%
95% mean confidence interval for instructions value: -2.32 -2.25
95% mean confidence interval for instructions %-change: -1.16% -1.09%
Instructions are helped.
total cycles in shared programs: 188758338 -> 188719974 (-0.02%)
cycles in affected programs: 20004922 -> 19966558 (-0.19%)
helped: 3012
HURT: 477
helped stats (abs) min: 2 max: 142 x̄: 13.41 x̃: 12
helped stats (rel) min: 0.01% max: 6.37% x̄: 0.52% x̃: 0.24%
HURT stats (abs) min: 2 max: 328 x̄: 4.27 x̃: 4
HURT stats (rel) min: <.01% max: 1.55% x̄: 0.14% x̃: 0.11%
95% mean confidence interval for cycles value: -11.38 -10.62
95% mean confidence interval for cycles %-change: -0.46% -0.41%
Cycles are helped.
Reviewed-by: Matt Turner <[email protected]>
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This doesn't help on Intel GPUs now because we always take the
"always_precise" path first. It may help on other GPUs, and it does
prevent a bunch of regressions in "intel/compiler: Don't always require
precise lowering of flrp".
Reviewed-by: Matt Turner <[email protected]>
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There is little effect on Intel GPUs now because we almost always take
the "always_precise" path first. It may help on other GPUs, and it does
prevent a bunch of regressions in "intel/compiler: Don't always require
precise lowering of flrp".
No changes on any other Intel platforms.
GM45 and Iron Lake had similar results. (Iron Lake shown)
total cycles in shared programs: 188852500 -> 188852484 (<.01%)
cycles in affected programs: 14612 -> 14596 (-0.11%)
helped: 4
HURT: 0
helped stats (abs) min: 4 max: 4 x̄: 4.00 x̃: 4
helped stats (rel) min: 0.09% max: 0.13% x̄: 0.11% x̃: 0.11%
95% mean confidence interval for cycles value: -4.00 -4.00
95% mean confidence interval for cycles %-change: -0.13% -0.09%
Cycles are helped.
Reviewed-by: Matt Turner <[email protected]>
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This doesn't help on Intel GPUs now because we always take the
"always_precise" path first. It may help on other GPUs, and it does
prevent a bunch of regressions in "intel/compiler: Don't always require
precise lowering of flrp".
No changes on any Intel platform. Before a number of large rebases this
helped cycles in a couple shaders on Iron Lake and GM45.
Reviewed-by: Matt Turner <[email protected]>
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No changes on any other Intel platforms.
v2: Rebase on 424372e5dd5 ("nir: Use the flrp lowering pass instead of
nir_opt_algebraic")
Iron Lake and GM45 had similar results. (Iron Lake shown)
total instructions in shared programs: 8189888 -> 8153912 (-0.44%)
instructions in affected programs: 1199037 -> 1163061 (-3.00%)
helped: 4124
HURT: 10
helped stats (abs) min: 1 max: 40 x̄: 8.73 x̃: 9
helped stats (rel) min: 0.20% max: 86.96% x̄: 4.96% x̃: 3.02%
HURT stats (abs) min: 1 max: 2 x̄: 1.20 x̃: 1
HURT stats (rel) min: 1.06% max: 3.92% x̄: 1.62% x̃: 1.06%
95% mean confidence interval for instructions value: -8.84 -8.56
95% mean confidence interval for instructions %-change: -5.12% -4.77%
Instructions are helped.
total cycles in shared programs: 188606710 -> 188426964 (-0.10%)
cycles in affected programs: 27505596 -> 27325850 (-0.65%)
helped: 4026
HURT: 77
helped stats (abs) min: 2 max: 646 x̄: 44.99 x̃: 46
helped stats (rel) min: <.01% max: 94.58% x̄: 2.35% x̃: 0.85%
HURT stats (abs) min: 2 max: 376 x̄: 17.79 x̃: 6
HURT stats (rel) min: <.01% max: 2.60% x̄: 0.22% x̃: 0.04%
95% mean confidence interval for cycles value: -44.75 -42.87
95% mean confidence interval for cycles %-change: -2.44% -2.17%
Cycles are helped.
LOST: 3
GAINED: 35
Reviewed-by: Matt Turner <[email protected]>
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If the magnitudes of #a and #b are such that (b-a) won't lose too much
precision, lower as a+c(b-a).
No changes on any other Intel platforms.
v2: Rebase on 424372e5dd5 ("nir: Use the flrp lowering pass instead of
nir_opt_algebraic")
Iron Lake and GM45 had similar results. (Iron Lake shown)
total instructions in shared programs: 8192503 -> 8192383 (<.01%)
instructions in affected programs: 18417 -> 18297 (-0.65%)
helped: 68
HURT: 0
helped stats (abs) min: 1 max: 18 x̄: 1.76 x̃: 1
helped stats (rel) min: 0.19% max: 7.89% x̄: 1.10% x̃: 0.43%
95% mean confidence interval for instructions value: -2.48 -1.05
95% mean confidence interval for instructions %-change: -1.56% -0.63%
Instructions are helped.
total cycles in shared programs: 188662536 -> 188661956 (<.01%)
cycles in affected programs: 744476 -> 743896 (-0.08%)
helped: 62
HURT: 0
helped stats (abs) min: 4 max: 60 x̄: 9.35 x̃: 6
helped stats (rel) min: 0.02% max: 4.84% x̄: 0.27% x̃: 0.06%
95% mean confidence interval for cycles value: -12.37 -6.34
95% mean confidence interval for cycles %-change: -0.48% -0.06%
Cycles are helped.
Reviewed-by: Matt Turner <[email protected]>
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I tried to be very careful while updating all the various drivers, but I
don't have any of that hardware for testing. :(
i965 is the only platform that sets always_precise = true, and it is
only set true for fragment shaders. Gen4 and Gen5 both set lower_flrp32
only for vertex shaders. For fragment shaders, nir_op_flrp is lowered
during code generation as a(1-c)+bc. On all other platforms 64-bit
nir_op_flrp and on Gen11 32-bit nir_op_flrp are lowered using the old
nir_opt_algebraic method.
No changes on any other Intel platforms.
v2: Add panfrost changes.
Iron Lake and GM45 had similar results. (Iron Lake shown)
total cycles in shared programs: 188647754 -> 188647748 (<.01%)
cycles in affected programs: 5096 -> 5090 (-0.12%)
helped: 3
HURT: 0
helped stats (abs) min: 2 max: 2 x̄: 2.00 x̃: 2
helped stats (rel) min: 0.12% max: 0.12% x̄: 0.12% x̃: 0.12%
Reviewed-by: Matt Turner <[email protected]>
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This pass will soon grow to include some optimizations that are
difficult or impossible to implement correctly within nir_opt_algebraic.
It also include the ability to generate strictly correct code which the
current nir_opt_algebraic lowering lacks (though that could be changed).
v2: Document the parameters to nir_lower_flrp. Rebase on top of
3766334923e ("compiler/nir: add lowering for 16-bit flrp")
Reviewed-by: Matt Turner <[email protected]>
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All Intel platforms had similar results. (Skylake shown)
total instructions in shared programs: 15342485 -> 15337495 (-0.03%)
instructions in affected programs: 217456 -> 212466 (-2.29%)
helped: 1539
HURT: 1
helped stats (abs) min: 1 max: 17 x̄: 3.24 x̃: 3
helped stats (rel) min: 0.22% max: 18.75% x̄: 3.10% x̃: 1.91%
HURT stats (abs) min: 1 max: 1 x̄: 1.00 x̃: 1
HURT stats (rel) min: 0.56% max: 0.56% x̄: 0.56% x̃: 0.56%
95% mean confidence interval for instructions value: -3.39 -3.09
95% mean confidence interval for instructions %-change: -3.24% -2.96%
Instructions are helped.
total cycles in shared programs: 355734320 -> 355728237 (<.01%)
cycles in affected programs: 1851555 -> 1845472 (-0.33%)
helped: 835
HURT: 575
helped stats (abs) min: 1 max: 658 x̄: 40.62 x̃: 14
helped stats (rel) min: <.01% max: 35.69% x̄: 3.78% x̃: 1.81%
HURT stats (abs) min: 1 max: 322 x̄: 48.40 x̃: 14
HURT stats (rel) min: 0.04% max: 71.02% x̄: 8.06% x̃: 2.43%
95% mean confidence interval for cycles value: -8.50 -0.13
95% mean confidence interval for cycles %-change: 0.48% 1.62%
Inconclusive result (value mean confidence interval and %-change mean confidence interval disagree).
Reviewed-by: Matt Turner <[email protected]>
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v2: Augment the late optimization patterns with a couple pre-ffma pass
patterns.
All Gen7+ platforms had similar results. (Skylake shown)
total instructions in shared programs: 15342982 -> 15342485 (<.01%)
instructions in affected programs: 56304 -> 55807 (-0.88%)
helped: 235
HURT: 0
helped stats (abs) min: 1 max: 8 x̄: 2.11 x̃: 1
helped stats (rel) min: 0.11% max: 8.82% x̄: 1.27% x̃: 0.74%
95% mean confidence interval for instructions value: -2.31 -1.92
95% mean confidence interval for instructions %-change: -1.46% -1.09%
Instructions are helped.
total cycles in shared programs: 355734740 -> 355734320 (<.01%)
cycles in affected programs: 1028807 -> 1028387 (-0.04%)
helped: 134
HURT: 104
helped stats (abs) min: 1 max: 212 x̄: 25.69 x̃: 8
helped stats (rel) min: <.01% max: 9.36% x̄: 1.33% x̃: 0.61%
HURT stats (abs) min: 1 max: 203 x̄: 29.06 x̃: 8
HURT stats (rel) min: 0.02% max: 15.76% x̄: 1.76% x̃: 0.46%
95% mean confidence interval for cycles value: -8.51 4.98
95% mean confidence interval for cycles %-change: -0.35% 0.39%
Inconclusive result (value mean confidence interval includes 0).
Sandy Bridge
total instructions in shared programs: 10886815 -> 10886390 (<.01%)
instructions in affected programs: 36883 -> 36458 (-1.15%)
helped: 147
HURT: 0
helped stats (abs) min: 1 max: 7 x̄: 2.89 x̃: 3
helped stats (rel) min: 0.35% max: 8.00% x̄: 1.60% x̃: 1.23%
95% mean confidence interval for instructions value: -3.12 -2.67
95% mean confidence interval for instructions %-change: -1.83% -1.38%
Instructions are helped.
total cycles in shared programs: 154188360 -> 154186902 (<.01%)
cycles in affected programs: 388094 -> 386636 (-0.38%)
helped: 90
HURT: 58
helped stats (abs) min: 1 max: 243 x̄: 36.80 x̃: 15
helped stats (rel) min: 0.04% max: 9.23% x̄: 1.26% x̃: 0.83%
HURT stats (abs) min: 1 max: 684 x̄: 31.97 x̃: 10
HURT stats (rel) min: 0.03% max: 13.50% x̄: 1.15% x̃: 0.51%
95% mean confidence interval for cycles value: -22.62 2.92
95% mean confidence interval for cycles %-change: -0.68% 0.05%
Inconclusive result (value mean confidence interval includes 0).
Iron Lake and GM45 had similar results. (Iron Lake shown)
total instructions in shared programs: 8221239 -> 8220357 (-0.01%)
instructions in affected programs: 54560 -> 53678 (-1.62%)
helped: 186
HURT: 0
helped stats (abs) min: 1 max: 14 x̄: 4.74 x̃: 3
helped stats (rel) min: 0.34% max: 10.77% x̄: 1.97% x̃: 1.17%
95% mean confidence interval for instructions value: -5.21 -4.28
95% mean confidence interval for instructions %-change: -2.23% -1.72%
Instructions are helped.
total cycles in shared programs: 188654442 -> 188650364 (<.01%)
cycles in affected programs: 1454384 -> 1450306 (-0.28%)
helped: 204
HURT: 0
helped stats (abs) min: 2 max: 84 x̄: 19.99 x̃: 18
helped stats (rel) min: 0.02% max: 4.69% x̄: 0.56% x̃: 0.22%
95% mean confidence interval for cycles value: -22.38 -17.60
95% mean confidence interval for cycles %-change: -0.67% -0.46%
Cycles are helped.
Reviewed-by: Matt Turner <[email protected]>
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At initial nir level all drivers are supporting ints.
Signed-off-by: Christian Gmeiner <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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Driver which do not support native integers should use a lowering
pass to go from integers to floats.
Signed-off-by: Christian Gmeiner <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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This new pass lowers ints and bools to floats. It allows hardware
that doesn't have native integers (e.g. Mali4x0) use the same
code paths as modern hardware.
It uses newly introduced pass to gather SSA types and should be
used as late as possible.
Reviewed-by: Jason Ekstrand <[email protected]>
Reviewed-by: Christian Gmeiner <[email protected]>
Signed-off-by: Vasily Khoruzhick <[email protected]>
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In commit a99c360a4630 (nir: add pass to lower fb reads), a new
file was added that needs to also be added to the
Makefile.sources list used by the Android and SCons build system.
Cc: Rob Clark <[email protected]>
Cc: Emil Velikov <[email protected]>
Cc: Amit Pundir <[email protected]>
Cc: Sumit Semwal <[email protected]>
Cc: Alistair Strachan <[email protected]>
Cc: Greg Hartman <[email protected]>
Cc: Tapani Pälli <[email protected]>
Cc: Jason Ekstrand <[email protected]>
Fixes: a99c360a463 ("nir: add pass to lower fb reads")
Reviewed-by: Tapani Pälli <[email protected]>
Reviewed-by: Emil Velikov <[email protected]>
Signed-off-by: John Stultz <[email protected]>
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The current AOSP master build system breaks building mesa due to the
following error:
external/mesa3d/src/compiler/Android.glsl.gen.mk:94: error:
writing to readonly directory: "external/mesa3d/src/compiler/glsl/ir.h"
This error is bogus -- nothing "writes" to ir.h -- but the rule is
unnecessary because the generated header that is a dependency of the
non-generated header should be added to LOCAL_GENERATED_SOURCES and this
will track if the dependency needs to be regenerated.
(This change fixes a similar problem affecting nir.h too.)
Cc: Rob Clark <[email protected]>
Cc: Emil Velikov <[email protected]>
Cc: Amit Pundir <[email protected]>
Cc: Sumit Semwal <[email protected]>
Cc: Alistair Strachan <[email protected]>
Cc: Greg Hartman <[email protected]>
Cc: Tapani Pälli <[email protected]>
Cc: Jason Ekstrand <[email protected]>
Reviewed-by: Tapani Pälli <[email protected]>
Reviewed-by: Emil Velikov <[email protected]>
Signed-off-by: Alistair Strachan <[email protected]>
[jstultz: Forward ported and tweaked commit subject]
Signed-off-by: John Stultz <[email protected]>
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Signed-off-by: Karol Herbst <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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with that we can simplify code where nir vectors are created
v2: merge both lines in nir_vec
Signed-off-by: Karol Herbst <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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v2: rename to nir_build_alu_src_arr
Signed-off-by: Karol Herbst <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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v2: use vtn_push_ssa and vtn_ssa_value
Signed-off-by: Karol Herbst <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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This new pass (which isn't even compile-tested) attempts to determine
the ALU type of all the SSA values in a function impl. It takes a
greedy approach and assigns intness or floatness to everything it thinks
can possibly contain an int or a float. Some values will be labled as
both int and float and some will be labled as neither and it is up to
the caller to decide what to do with this information. However, for a
"nice" shader where the original source contained no bit-casts and no
implicit bit-casts were introduced by optimizations, there shouldn't be
any overlap in the two sets save for the odd CSEd zero constant.
Reviewed-by: Vasily Khoruzhick <[email protected]>
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Just don't emit the transform array at all if there are no transforms
v2:
- Don't use len(array) > 0 (Dylan)
- Keep using ARRAY_SIZE to make the generated C code easier to read
(Jason).
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v2: - Use new with_shader_cache variable instead of
host_machine.system() == 'windows'
Reviewed-by: Eric Anholt <[email protected]>
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Reviewed-by: Eric Anholt <[email protected]>
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Somewhere down in the depths of the mingw headers 'interface' is
defined, change it to iface like a similar patch did.
Signed-off-by: Dylan Baker <[email protected]>
Reviewed-by: Eric Anholt <[email protected]>
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This has a couple of hardcoded vec4 limits in it, change them
to the proper sizing to avoid future issues.
Reviewed-by: Jason Ekstrand <[email protected]>
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The spir-v spec says this returns a bool.
Reviewed-by: Jason Ekstrand <[email protected]>
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Fixes: 691d5a825a6 nir: rework tex instruction printing
Reviewed-by: Eric Anholt <[email protected]>
Signed-off-by: Rob Clark <[email protected]>
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- make sure compute shader derivatives are exposed for all extensions
- unify duplicated code
Reviewed-by: Caio Marcelo de Oliveira Filho <[email protected]>
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Signed-off-by: Rob Clark <[email protected]>
Reviewed-by: Kristian H. Kristensen <[email protected]>
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Apparently we never hit this path. Or at least haven't for a rather
long time. But in either case (load_deref or load_frag_coord), we can
just directly use the intrinsic's ssa dest. So stop passing the
nir_variable (which would be NULL in the load_frag_coord case) around
and instead just use &intr->dest.ssa.
(This ofc means we need to setup the cursor to insert *after* the
instruction, which seems to be another bug of the original
implementation.)
Signed-off-by: Rob Clark <[email protected]>
Reviewed-by: Kristian H. Kristensen <[email protected]>
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The extra comma at the end was annoying me.
Signed-off-by: Rob Clark <[email protected]>
Reviewed-by: Kristian H. Kristensen <[email protected]>
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This was useful while debugging the previous commit.
Reviewed-by: Jason Ekstrand <[email protected]>
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nir_opt_algebraic is currently one of the most expensive NIR passes,
because of the many different patterns we've added over the years. Even
though patterns are already sorted by opcode, there are still way too
many patterns for common opcodes like bcsel and fadd, which means that
many patterns are tried but only a few actually match. One way to fix
this is to add a pre-pass over the code that scans it using an automaton
constructed beforehand, similar to the automatons produced by lex and
yacc for parsing source code. This automaton has to walk the SSA graph
and recognize possible pattern matches.
It turns out that the theory to do this is quite mature already, having
been developed for instruction selection as well as other non-compiler
things. I followed the presentation in the dissertation cited in the
code, "Tree algorithms: Two Taxonomies and a Toolkit," trying to keep
the naming similar. To create the automaton, we have to perform
something like the classical NFA to DFA subset construction used by lex,
but it turns out that actually computing the transition table for all
possible states would be way too expensive, with the dissertation
reporting times of almost half an hour for an example of size similar to
nir_opt_algebraic. Instead, we adopt one of the "filter" approaches
explained in the dissertation, which trade much faster table generation
and table size for a few more table lookups per instruction at runtime.
I chose the filter which resulted the fastest table generation time,
with medium table size. Right now, the table generation takes around .5
seconds, despite being implemented in pure Python, which I think is good
enough. Based on the numbers in the dissertation, the other choice might
make table compilation time 25x slower to get 4x smaller table size, but
I don't think that's worth it. As of now, we get the following binary
size before and after this patch:
text data bss dec hex filename
11979455 464720 730864 13175039 c908ff before i965_dri.so
text data bss dec hex filename
12037835 616244 791792 13445871 cd2aef after i965_dri.so
There are a number of places where I've simplified the automaton by
getting rid of details in the LHS patterns rather than complicate things
to deal with them. For example, right now the automaton doesn't
distinguish between constants with different values. This means that it
isn't as precise as it could be, but the decrease in compile time is
still worth it -- these are the compilation time numbers for a shader-db
run with my (admittedly old) database on Intel skylake:
Difference at 95.0% confidence
-42.3485 +/- 1.375
-7.20383% +/- 0.229926%
(Student's t, pooled s = 1.69843)
We can always experiment with making it more precise later.
Reviewed-by: Jason Ekstrand <[email protected]>
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Trivial. Spotted by Eric Engestrom.
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I'm not sure what triggered this, but building with
scons platform=windows toolchain=crossmingw machine=x86 build=profile
with MinGW g++ 7.3 or 7.4 causes an internal compiler error.
We can work around it by forcing -O1 optimization.
Reviewed-by: Jose Fonseca <[email protected]>
Reviewed-by: Neha Bhende <[email protected]>
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In 8-bits,
iadd_sat(iadd_sat(0x7f, 0x7f), -1) =
iadd_sat(0x7f, -1) =
0x7e
but,
iadd_sat(0x7f, iadd_sat(0x7f, -1)) =
iadd_sat(0x7f, 0x7e) =
0x7f
Fixes: 272e927d0e9 ("nir/spirv: initial handling of OpenCL.std extension opcodes")
Reviewed-by: Karol Herbst <[email protected]>
Reviewed-by: Jason Ekstrand <[email protected]>
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Use a different arrangement of constants to allow more ffma.
A vec4 backend will now use 3 fma for yuv_to_rgb. On freedreno/ir3, it is
down from 10 to 7 alu (4 fma, 3 mul, 3 add to 7 fma). Other backends
shouldn't be hurt.
Signed-off-by: Jonathan Marek <[email protected]>
Reviewed-by: Eric Anholt <[email protected]>
Tested-by: Ian Romanick <[email protected]>
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Add ShaderNonUniformEXT, UniformBufferArrayNonUniformIndexingEXT,
SampledImageArrayNonUniformIndexingEXT,
StorageBufferArrayNonUniformIndexingEXT,
StorageImageArrayNonUniformIndexingEXT,
InputAttachmentArrayNonUniformIndexingEXT,
UniformTexelBufferArrayNonUniformIndexingEXT and
StorageTexelBufferArrayNonUniformIndexingEXT capabilities.
Cc: [email protected]
Reviewed-by: Jason Ekstrand <[email protected]>
Reviewed-by: Bas Nieuwenhuizen <[email protected]>
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The code was handling the Weak variant in some cases, but missing
others, e.g. the get_deref_nir_atomic_op. Add all the missing cases
with the same behavior of the non-Weak SpvOpAtomicCompareExchange.
Note that the Weak variant is basically an alias, as SPIR-V 1.3,
Revision 7 says
"OpAtomicCompareExchangeWeak
Deprecated (use OpAtomicCompareExchange).
Has the same semantics as OpAtomicCompareExchange."
Reviewed-by: Jason Ekstrand <[email protected]>
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