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authorRhys Perry <[email protected]>2020-02-03 21:19:52 +0000
committerMarge Bot <[email protected]>2020-05-07 10:39:19 +0000
commitabc4a8285776dcded21d0b7f3035c9858d061611 (patch)
tree9f2dabe31f5f5d237e8a46e5898bfc465e6e5621 /src
parentd8a27c0bb3049963934c77d104db39ecf610e3b9 (diff)
nir: make fsat return 0.0 with NaN instead of passing it through
This is how lower_fsat and ACO implements fsat and is a more useful definition since it can be exactly created from fmin(fmax(a, 0.0), 1.0). Signed-off-by: Rhys Perry <[email protected]> Reviewed-by: Ian Romanick <[email protected]> Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/3716>
Diffstat (limited to 'src')
-rw-r--r--src/compiler/nir/nir_opcodes.py4
-rw-r--r--src/compiler/nir/nir_opt_algebraic.py15
2 files changed, 14 insertions, 5 deletions
diff --git a/src/compiler/nir/nir_opcodes.py b/src/compiler/nir/nir_opcodes.py
index 830fb346a4d..e1c9788b4f0 100644
--- a/src/compiler/nir/nir_opcodes.py
+++ b/src/compiler/nir/nir_opcodes.py
@@ -199,9 +199,7 @@ unop("fsign", tfloat, ("bit_size == 64 ? " +
unop("isign", tint, "(src0 == 0) ? 0 : ((src0 > 0) ? 1 : -1)")
unop("iabs", tint, "(src0 < 0) ? -src0 : src0")
unop("fabs", tfloat, "fabs(src0)")
-unop("fsat", tfloat, ("bit_size == 64 ? " +
- "((src0 > 1.0) ? 1.0 : ((src0 <= 0.0) ? 0.0 : src0)) : " +
- "((src0 > 1.0f) ? 1.0f : ((src0 <= 0.0f) ? 0.0f : src0))"))
+unop("fsat", tfloat, ("fmin(fmax(src0, 0.0), 1.0)"))
unop("frcp", tfloat, "bit_size == 64 ? 1.0 / src0 : 1.0f / src0")
unop("frsq", tfloat, "bit_size == 64 ? 1.0 / sqrt(src0) : 1.0f / sqrtf(src0)")
unop("fsqrt", tfloat, "bit_size == 64 ? sqrt(src0) : sqrtf(src0)")
diff --git a/src/compiler/nir/nir_opt_algebraic.py b/src/compiler/nir/nir_opt_algebraic.py
index 58ff35af0b0..4112ccb0aa4 100644
--- a/src/compiler/nir/nir_opt_algebraic.py
+++ b/src/compiler/nir/nir_opt_algebraic.py
@@ -543,9 +543,17 @@ optimizations.extend([
(('fmax', a, ('fneg', a)), ('fabs', a)),
(('imax', a, ('ineg', a)), ('iabs', a)),
(('~fmax', ('fabs', a), 0.0), ('fabs', a)),
- (('~fmin', ('fmax', a, 0.0), 1.0), ('fsat', a), '!options->lower_fsat'),
+ (('fmin', ('fmax', a, 0.0), 1.0), ('fsat', a), '!options->lower_fsat'),
+ # fmax(fmin(a, 1.0), 0.0) is inexact because it returns 1.0 on NaN, while
+ # fsat(a) returns 0.0.
(('~fmax', ('fmin', a, 1.0), 0.0), ('fsat', a), '!options->lower_fsat'),
+ # fmin(fmax(a, -1.0), 0.0) is inexact because it returns -1.0 on NaN, while
+ # fneg(fsat(fneg(a))) returns -0.0 on NaN.
(('~fmin', ('fmax', a, -1.0), 0.0), ('fneg', ('fsat', ('fneg', a))), '!options->lower_fsat'),
+ # fmax(fmin(a, 0.0), -1.0) is inexact because it returns 0.0 on NaN, while
+ # fneg(fsat(fneg(a))) returns -0.0 on NaN. This only matters if
+ # SignedZeroInfNanPreserve is set, but we don't currently have any way of
+ # representing this in the optimizations other than the usual ~.
(('~fmax', ('fmin', a, 0.0), -1.0), ('fneg', ('fsat', ('fneg', a))), '!options->lower_fsat'),
(('fsat', ('fsign', a)), ('b2f', ('flt', 0.0, a))),
(('fsat', ('b2f', a)), ('b2f', a)),
@@ -557,8 +565,11 @@ optimizations.extend([
(('fmin', ('fmax', ('fmin', ('fmax', a, b), c), b), c), ('fmin', ('fmax', a, b), c)),
(('imin', ('imax', ('imin', ('imax', a, b), c), b), c), ('imin', ('imax', a, b), c)),
(('umin', ('umax', ('umin', ('umax', a, b), c), b), c), ('umin', ('umax', a, b), c)),
+ # Both the left and right patterns are "b" when isnan(a), so this is exact.
(('fmax', ('fsat', a), '#b@32(is_zero_to_one)'), ('fsat', ('fmax', a, b))),
- (('fmin', ('fsat', a), '#b@32(is_zero_to_one)'), ('fsat', ('fmin', a, b))),
+ # The left pattern is 0.0 when isnan(a) (because fmin(fsat(NaN), b) ->
+ # fmin(0.0, b)) while the right one is "b", so this optimization is inexact.
+ (('~fmin', ('fsat', a), '#b@32(is_zero_to_one)'), ('fsat', ('fmin', a, b))),
# If a in [0,b] then b-a is also in [0,b]. Since b in [0,1], max(b-a, 0) =
# fsat(b-a).